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1Moshe Nazarathy Copyright
Lecture VIIntroduction to Fiber Optic Communication
• Optical amplifiers
• (ch. 16 – part 3 “Notes”)
…in which we study Optical Amplification
Moshe Nazarathy All Rights Reserved
Ver1
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Optical Direct Detection
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The quantum limit for ideal OOK optical transmission
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The quantum limit for ideal OOK optical transmission (II)
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The quantum limit for ideal OOK optical transmission (III)
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The quantum limit for ideal OOK optical transmission (IV)
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The quantum limit for ideal OOK optical transmission (V)
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The quantum limit for ideal OOK optical transmission (VI)
=10
Ten average photons per bit
Twenty photons in the “one” bit
3 (1)10 0.5 ; 6.21 ; 3.1 /en
T TE n N N photon itP b =
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Photon counting detection of optical binary transmission with two non-zero waveforms (I)
“On-pulse”
“Off-pulse”
Self-study
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Photon counting detection of optical binary transmission with two non-zero waveforms (II)
Log-likelihood ratio Self-study
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Photon counting detection of optical binary transmission with two non-zero waveforms (III)
Self-study
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…where Poissonian Photon Statisticsand Gaussian Johnson noise meet…
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I&D Detection in shot noise approximated as gaussian
0
( )T
dt
I&D filter
0
ˆ( ) ( )tN
d kk
i t eh t
TeN
1/ eTN
[ ]T TN Poisson 0
( )T
T t dt
Shot Noise
( ) ( )t P t
Approximate the Poisson as Gaussian
[ ] [ , ]T T T TPoisson N
2T T T TVarN N
approx.
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Optical Amplification
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Physical principles of optical amplification
• Optical Amplifier Types:– Erbium Doped Fiber Amplifiers (EDFA)– Semiconductor Amplifiers– Raman Fiber Amplifiers
• Principle: A collection of quantum objects (atoms, electron-hole pairs, etc.) are “pumped” by an external means (optical, electrical) into excited energy states.
• Stimulated Emission: Incoming photons induce additional photons of the same direction, frequency and polarization. The excited entities go down to the ground state
• Amplified Spontaneous Emission (ASE): the excited objects randomly relax to the ground state while emitting photons.
• Same effects as used in lasers (laser = amplifier + feedback)
16Moshe Nazarathy CopyrightMecozzi, ECOC ‘05
Optical Power in two-sided bandwidth Bin both quadraturesand one polarization
=
0 022
hh
( )outBs za HeP t
( ) ( )out inss GE tE t
( )insE t
+OA
( )aseE t
2( )ase
B HzE t
GOptical Power Gain
Effective Noise FieldRedefine E-field units such that P=|E|^2
17Moshe Nazarathy CopyrightMecozzi, ECOC ‘05
2-sidedOptical
All statements here are per one polarization - The two polarizations fluctuations are i.i.d. Total power in both orthogonal polarizations is double
ase
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Noise statistics of the optical amplifier
) ( )( )( inos ses
ta
u GEt tE Et
( )insE t
+
OA
( )aseE t
1 12 2
2
0( ) ( ( 1))outase Hz Hz
ase spP t E t n G h
1G
12
2
0( ) ) (( 1)aseE s sp
za e
HS E t n hG
Spontaneous noise factor
SIGNAL AWGN
Two-sidedPSD of the field CE(both quadratures)
*01
( ) ( ) ( ) ( 1) ( )aseE ase ase spHz
t t t t h t tE n GE
[Watt/Hz]
1spn
When E is in units of sqrt[Watt] then PPSD coincides with the PSD of the field: PSD=Var in 1 Hz; Var = mean sq of ZM r.v. When E is in units of [ (Volt/Meter)2/Hz ] the PSD and PPSD are merely proportional
G
Photonic Power Spectral Density (PPSD):
The ASE optical field noise process is approximated as white (and gaussian):
high gain amps
Effective Noise Field
0spn Gh
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Noise statistics of the optical amplifier
2
01 1( ) ( ) ( 1) ( )
H
out outase ase asz Hz
e spP P t E Gt hn
12
0 2
0( ) ( ) (1 1
2()
21)
2( )re im
ase ase aseE ase spE E Hz
NS S S E t n hG
12
0
2
0 0( ) ( ) ( 1)ase H
E ase sp spz
G GS n h hN E t n
Two-sided PSD of the real optical field and of each quadrature component
[Watt/Hz+]
) ( )( )( inos ses
ta
u GEt tE Et
( )insE t
+
OA
( )aseE t SIGNAL AWGN
G
Two-sided PSD of the optical field rms complex envelope:
Photonic PSD
00 ( ) ( ) ( 1)( )re imase ase ase
E spE EN S S hGS n
One-sided PSD of the real optical field as well as of each quadrature component
One-sided PSD rms complex envelope of the optical field:
2
001
2 ( ) ( ) 2 ( 1)aseE a e p
zs s
HN S E t G hn
summary
See next slide to justifythe I&Q stmts
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Moshe Nazarathy Copyright
00 0( ) ( ) ( )Re 2 2( )2 cos sinj t
n t n t t tere imn t tn
0 / 2N
PSD0N
PSD0 / 2NPSD
Spectra of narrowband white noise and its I&Q and complex representation
0NPSD
( )C tN0NPSD
( )S tN( )n t02NPSD
0 / 2NPSD
Quadrature representation
From T1 ModCom
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Optical Amplification spontaneous noise factor derivation
22Moshe Nazarathy CopyrightMecozzi, ECOC ‘05
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Optical Engineering characteristics of the optical amplifier (I)
we view the optical amplifier... as an amplifier, striving to derive some of its optical engineering characteristics, such as its noise figure and its RIN, as well as its CNR contribution to the output in a link which includes multiple optical amplifiers.
The spontaneous spectral optical power (mean optical power inWatts per one-sided Hz) at the output of the OA in one polarization is given by:
amplified emission
2-sided
2
24Moshe Nazarathy CopyrightMecozzi, ECOC ‘05
2 0
20
0
( 1)
1(
1
)
1
(
1)
( )
outase
sp
G h
GG
P
h
G hnG
Self-study
25Moshe Nazarathy CopyrightMecozzi, ECOC ‘05
Self-study
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Optical Amplification signal-spontaneous and spontaneous-
spontaneous noise contributionsderivation
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Optical Filter Electrical FilterPhoto-diode
oFlat B+eFlat B2
G
Canonical Optical Amplification Problem:Canonical Optical Amplification Problem:White Gaussian ASE, Flat o- and e- filters, CW signalWhite Gaussian ASE, Flat o- and e- filters, CW signal
24( ) ( 1) rectin spy
c e
ff
eS GP n G
h B
2 2
0 00
( ) 2 ( 1) tri rect 2 ( ) ( 1)sp spn nye
S n G e B n G eBB
f ff
Bf
c
e
h
Ideal responsivity:Set in the model of last slide:
2( ) rect[ / ]o of fH B
2( ) rect[ / ]e ef fH B ( ) ( )insS GP
CW Signal:
( ) ( 1)sp cnS n G h
ASE PSD:
( )s t( )n t
inP
s nPSD of terms:
PSD of term: n n
( )y t
elec
tr.
PS
DeB 0B0 / 2B
f
n n
s n[Olsson, `89]
Withoutproof
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Optical Filter Electrical FilterPhoto-diode
oFlat B+eFlat B2
G
Canonical Optical Amplification Problem:Canonical Optical Amplification Problem:Signal-spontaneous noise dominates over shot-noiseSignal-spontaneous noise dominates over shot-noise
24( ) ( 1) rectin spy
c e
ff
eS GP n G
h B
c
e
h
Ideal responsivity:
( )s t( )n t
inP
s nPSD of terms:
( )y t
elec
tr.
PS
D
eB 0B0 / 2B
f
n n
s n[Olsson, `89]
Its flat in-band level:
21 4
( 1)y
sin sp
c
eN GP n G
h 4 ( 1)in sp
sI
e GP n G 2 2 ( 1)
SHOT
s sp
N
eI n G
2 ( 1)SHO spTyN N n G
The Sig-spont. PSD is stronger than the output shot-noise PSDthat’d have been generated by the same CW input signal going throughan ideal OA with the same gain, then photo-detected with the same responsivity
2 ( 1)spn G
2( ) rect[ / ]o of fH B 2
( ) rect[ / ]e ef fH B
COMPARE SIG-SPONT. vs. SHOT NOISES
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Conventional Derivation of s-sp and sp-sp noise
one-sided
00 /spN n Gh g one-sidedis
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Derivation of s-sp and sp-sp noise
-
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Derivation of s-sp and sp-sp noise
)
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Derivation of s-sp and sp-sp noise
jointly
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Derivation of s-sp and sp-sp noise
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Derivation of s-sp and sp-sp noiseagain…
1 / 2ase
sES
12 2 / 2ase
ss ES rect
B
super
( )aseES
( )s sp
S
s n alias names
for the signal beating with the noise
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Signal-spontaneous beat noise
Effective IM noise source…Multiply by the responsivity to yield the s-sp induced photocurrent noise
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Derivation of s-sp and sp-sp noise
1 / 2ase
sES
Convolve this with itself
( )aseES
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Now we must evaluate the autoconvolution:
Signal-spontaneous and spontaneous-spontaneous beat noises (VIII)
The one-sided spontaneous-spontaneous noise spectral density is then
| |
n n alias namesfor the noise beating with itself
2
2
1 / 2ase
sES
( )aseES
B
22 2
1
B
Area under this graph (multiplied with itself)
2B
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Signal-spontaneous and spontaneous-spontaneous beat noises (IX)
| |
its peak value
2B
2B 2B
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OA
Signal-spontaneous and spontaneous-spontaneous beat noises (X)
Consider an optical transmission situation involving an optical amplifier.
2B 2B
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Optical Amplifier CNR and Noise Figure
THIS SECTION: SELF-STUDY(its content is partially treated in TA class)
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Optical Amplifier CNR (I)
The OA internal noise figure of the amplifier is defined as the ratio of internal input and output CNRs
The input CNR (carrier-to-noise ratio) spectral density (in 1 Hz two-sided bandwidth) is referred to the ‘purest’ light, coherent light afflicted only by its inherent shot noise:
OA
Consider an optical transmission situation involving an optical amplifier.
without the effect of coupling
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Here we have specifically labelled the CW power with the superscript “in”, and have expressed a generic optical shot noise as
the shot noise associated with the photon stream carrying total energy “charge”
To formally justify the optical shot noise expression , consider the photon arrivals’ process
Optical Amplifier CNR (II)
P
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Optical Amplifier CNR (III)
----
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Review the derivation why spectral density (=arrivals rate) for filtered Poisson process
Optical Amplifier CNR (IV)
----
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Optical Amplifier CNR (V)
2B
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Again the beat noise will only show up on the photo-detector, however we choose to represent it as if it is already existent in the optical domain. So, in a sense these are photocurrent mean square quantities, all referred back to the input optical domain by division by the responsivity.
The output CNR then consists of the signal spectral density over the output shot noise plus output s-sp contributions:
taking the ratio between the input CNR, and the output CNR….
Optical Amplifier CNR (VI)
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Optical Amplifier noise figure (I)
----
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This indicates that 2 2spF n 1spn When ideally
i.e. the ideal large-gain amp noise figure is 3 dB
Optical Amplifier noise figure (II)
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PAM Detection
with optically pre-amplified receiver
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Beat-noise-limited OA
• Let the ASE (amplified spontaneous emission) be the dominant noise component
• All other noise sources in optical detection may be neglected.
• Realistic assumption for a receiver with an optical pre-amplifier with sufficient optical gain and reasonable noise figure
• the thermal noise photocurrent is negligible relative to the signal-spontaneous noise component in the photocurrent.
• The ASE noise is usually modelled as AWGN
51Moshe Nazarathy CopyrightMecozzi, ECOC ‘05
Conventional OSNR definition is not very precise…
(though related)
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OSNR – relation to Symbol-SNR
_ _ _ _
_ _ _ _1_ _ 2.5
Avg power over symbol periodOSNR
Noi of both pose Variance inl GHz
(1) (0) (1)
_ _ _ _
/2 2
s s s
P Avg power over symbol period
TT
0_ _ _12.5 refNoise Variance in GHz N B12.5refB GHz(1) (1)
0 02
/ 2 1
4s s
ref ref
TOSNR
N B TB N
“Logical 1” symbol energy
Symbol period (inverse of baudrate)
2 factor due to two pol.
in one pol.
See next page for
OOK
ASE PWR in a reference 0.1 nm band
00 ( 1)sp G hN n
=0.1 nm at 1.5um
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54Moshe Nazarathy Copyright
Noise statistics of the optical amplifier
2
01 1( ) ( ) ( 1) ( )
H
out outase ase asz Hz
e spP P t E Gt hn
12
0 2
0( ) ( ) (1 1
2()
21)
2( )re im
ase ase aseE ase spE E Hz
NS S S E t n hG
12
0
2
0 0( ) ( ) ( 1)ase H
E ase sp spz
G GS n h hN E t n
Two-sided PSD of the real optical field and of each quadrature component
[Watt/Hz+]
) ( )( )( inos ses
ta
u GEt tE Et
( )insE t
+
OA
( )aseE t SIGNAL AWGN
G
Two-sided PSD of the optical field rms complex envelope:
Photonic PSD
00 ( ) ( ) ( 1)( )re imase ase ase
E spE EN S S hGS n
One-sided PSD of the real optical field as well as of each quadrature component
One-sided PSD rms complex envelope of the optical field:
2
001
2 ( ) ( ) 2 ( 1)aseE a e p
zs s
HN S E t G hn
summary
See next slide to justifythe I&Q stmts
55Moshe Nazarathy Copyright
two pol.
OSNR – relation to Symbol-SNR (II)2
(1) (1) 1
0 0
(1)
0
(
4
[
42
] / 2 1 [ ]
( 1)
)ss s
ref refre spf
dtJ T J TOSNR
W W WTB BN B N hHz H
G
t
H
E
z zn
(1)
0
4srefSymbolSNR TB OS
NNR
1010logdBOSNR OSNR
sp
insK
n
Shown Later
(1) (1) 2( ) [ ]ss E Jt dt
00 0( 1)sp spNW
h hHz
n G Gn
This one-sided PSD formula for the the real field in one polarization(=2-sided PSD for the CE fieldin one polarization)
but beware – the OSNR denom has noise for two polarizations
one pol.
related to NF
[ ]W
# of photonsper (1) symbol at OA input
1/ 2[ ]W
Redefine E-field units such that:
56Moshe Nazarathy Copyright
The pulse energy is then
Modeling optically-amplified direct detection
10
2
01
( ) ( ) ( 1) )(ase
outase ase spHzE
HzN S P t E t n G h
20 1 102 21
2
( )2 ase spHz
sided
NE t n Gh
Let the optical field (noiseless signal) response at the OA output due to a lone transmitted symbol
be expressed in terms of the unit symbol response
from the transmitted symbol to the OA output
0A
( )h t
0( ) ( )outs h tAE t
2 2 2
0( ) ( )out outss dt hE tAt
( )insE t
( )outsE t
+OA
( )aseE t
GFIBER CHANNEL
OPTTX
0A
( )h tUnit symbol response:
Two-sided PSD of each ASE quadrature
57Moshe Nazarathy Copyright
Modeling Optically-Amplified Direct Detection( )in
sE t +OA
( )aseE t
G
( )outsE t
FIBER CHANNELOPTTX
0A OF
( )f tinsK photons
per pulse
The symbol SNR at the OA output equals the ratio of the mean photon count at the OA input and the spontaneous noise factor:
0 sp
it nous sK
N n
OADD
2
0
0
0
2
012
( ) ( )
( )
1( )
/out outouts s
sp sp sHz
in
sid
s
s i
ed
p
n
s
ase
dtdt dt h h
Gh
E t P t
N n n
t
nE t
P
Proof:
2( ) ( )out out
s sE t P t
( ) ( )in outs sGP t P t
( )( )
outin s
s
P tP t
G2
( ) ( ) /out outs sE t P t g
2( )out out
s sE t dt THEOREM:
0 / 2Nis the two-sidedPSD of each ASE quadrature
( )in
sP twatts
more preciselyG-1: corr. factor G/(G-1)
G/(G-1)
58Moshe Nazarathy Copyright
Modeling Optically-Amplified Direct Detection
( )insE t
+
OA
( )aseE t
( )outsE t
G
FIBER CHANNELOPTTX
0A OF
( )f tPhotonsper pulse@OA input
0sp
ss
n
K
N
0A
2( )out
sE t dt“energy”in the communicationsense(mean square integralof the amp. waveform)
( )aseE t
( )outsE t
0A
OF
( )f t 0A( )h t 2
photo-det
sq. env-det
=“Symbol SNR”@ OA output
“Electrical” equiv. comm. system:
If OF is a matched filter: *( ) ( )f t h t
krje ~ [0, 2 ]Unif
For stat. analysis purposes we may set 0
Phase uncertaintyin laser source and fiber optical path length
( )h t
+
A responsivity gain would not matter:signal & noiseequally amplified
No electricalfilter assumedhence squaring& sampling may commute
0 ( )A h t
With MF, SamplerSNR=2*SymbolSNR
2
0/ 2 /k k sr r NVar
2
2
2
sp
s
k
k
nn
r K
kk nr
“Sampler SNR”at MF output:
59Moshe Nazarathy Copyright
( ) ( )jkk
s t Ae h t kT
(0)j jk k kk k
k
e A p k k T An ne pr
( ) ( ) ( )p t h t f t
re imk kn jn
2~ [0, ]N Indep.
2
0 / 2f N( )s t ( )f t
( )n t
PAM
( )h t( )kA
krje
2
ASYNCH (NON-COHERENT / ENVELOPE) DETECTION
( )s t ( )f t
( )n t
PAM
( )h t( )kA
kr
Coherent/Non-Coherent Bandpass channel – complex representation
SYNCHONOUS (COHERENT) DETECTION
ISI-Free
From S3
Goto S3->……->Return
kq
60Moshe Nazarathy Copyright
(0)kj
k kpr ne A
( ) ( ) ( )p t h t f t re imk kn jn
2~ [0, ]N Indep.
2
0 / 2f N
( )s t ( )f t
( )n t
PAM
( )h t( )kA
krje
2
ASYNCH (ENVELOPE) DETECTION
Coherent/Non-Coherent Bandpass channel – complex representation
ISI-Free
a
Signal space (complex plane)
rekn
imkn
kr
(1)(0)Ap
(0) (1){ 0, 0}kA A A
OOK modulation format:
2
k kr
2
kk na
On:
Off:
On:Off:
2
k kn
s
22 2/q a
*(1) ( )h tA matched OF
Evaluate “sampler SNR” (Q-sq.):
†(0) ( ) ( ) ( ) (( ) )0 h f h t f t dt h f tp t
*( )h t *( ) ( )a b a t b t dt
2† †(1) (1)( ) ( ) ( )Ah t h t hA t (1) (1) 2 (11) 12 )( ( )( )) ( )(0 sa A A Ah t hp tA
constant gain factors in f(t) do not matter
61Moshe Nazarathy Copyright
(0)kj
k kpr ne A
( ) ( ) ( )p t h t f t re imk kn jn
2~ [0, ]N Indep.
2
0 / 2f N
Coherent/Non-Coherent Bandpass channel – complex representation
ISI-Free
a
Signal space (complex plane)
rekn
imkn
kr
(1)(0)Ap
2
k kr
2
kk na
On:
Off:2
k kn
s
(1)sa
OOK
† 22 (1)0
2
0)
0(1/ 2 / 2 / 2sN N NAf h
( )s t ( )f t
( )n t
PAM
( )h t( )kA
krje
2
*(1) ( )h tA
2(1) (12( )
0
)
2 12
0( )
22 2
/ 2s s
s
inons
sp
qN N
KaK
n
"Sampler SNR” (Q-squared factor)=twice the “symbol SNR”(also from matched filtering theory): 0 sp
it nous sK
N n
Received effective # of photons at OA input in the on-pulse
per quadraturedimension
62Moshe Nazarathy Copyright
Coherent/Non-Coherent Bandpass channel – complex representation
arekn
imkn
kr
(1)(0)Ap
2
k kr
2
kk na
On:
Off:2
k kn
s
OOK
( )s t ( )f t
( )n t
PAM
( )h t( )kA
krje
2
*(1) ( )h tA
2(2
2)2 onq
aK
2
2
" "
" "
k
k
b ON
b OFF
Decision law:
( ) 2Pr | Pr |k kon
eP b on b on
| ~k kon Ricena
( ) Pr | 1 ,kon
e
a bP b on Q
Right tail of Rician distrib.
Marcum-Q function
a b
Pr{ } ,k
a bb Qna
Rice pdf
(
0
1)2 s
N
shown last slide
63Moshe Nazarathy Copyright
Coherent/Non-Coherent Bandpass channel – complex representation
arekn
imkn
kr
(1)(0)Ap
2
k kr
2
kk na
On:
Off:2
k kn
s
OOK
( )s t ( )f t
( )n t
PAM
( )h t( )kA
krje
2
*(1) ( )h tA
2(2
2)2 onq
aK
2
2
" "
" "
k
k
b ON
b OFF
Decision law:
( ) 2Pr | Pr |o fk k
feP b off b off
| ~kk off Rayl ign e h
2
22( ) ( / ) /22Pr | 0,f bk
bo f
e
bP b off Q e e
(Rice with a=0)
Alternatively, , is chi-squared with two DOFs, i.e. exponentially distributed k
64Moshe Nazarathy Copyright
Coherent/Non-Coherent Bandpass channel – complex representation
arekn
imkn
kr
(1)(0)Ap
2
k kr
2
kk na
On:
Off:2
k kn
s
OOK
( )s t ( )f t
( )n t
PAM
( )h t( )kA
krje
2
*(1) ( )h tA
2(2
2)2 onq
aK
2/ / 2( ) boff
eP e ( ) 1 ,one
a bP Q
For high SNR it may be shown that the optimal threshold tends to half-waybetween on and off in the amplitude domain
/ 2b a
( )2 onqa
K
( ) 1 , / 2oneP Q q q 2 2/2 /2( ) /8qoff q
eP e e
2( ) ( ) /80.5 0.5 0.5 1 , / 2 0.5on off qe e eP P P Q q q e
/ / 2b q
( )( ) ( ) /40.5 1 2 , / 2 0.5onon on
eKP K KQ e
65Moshe Nazarathy Copyright
Coherent/Non-Coherent Bandpass channel – complex representation
arekn
imkn
kr
(1)(0)Ap
2
k kr
2
kk na
On:
Off:2
k kn
s
OOK
( )s t ( )f t
( )n t
PAM
( )h t( )kA
krje
2
*(1) ( )h tA
2(2
2)2 onq
aK
2/ / 2( ) boff
eP e ( ) 1 ,one
a bP Q
Assume general threshold b a
( )2 onqa
K
( ) 1 ,oneP Q q q
2( ) / 2offeP e 2( ) ( ) ( ) /20.5 0.5 0.5 1 , 0.5on off q
e e eP P P Q q q e
/b q /b a
2 ( )( ) ( )0.5 1 2 , 2 0.5onon o K
enP Q eK K
66Moshe Nazarathy Copyright
Coherent/Non-Coherent Bandpass channel – complex representation
( )( ) ( ) /40.5 1 2 , / 2 0.5onon on
eKP K KQ e
-940 ph/bit @ BER=10K
( )insE t
+OA
( )aseE t
( )outsE t
G
FIBER CHANNELOPTTX
0A OF
( )f tKphotonson average
0A
photo-det
( ) 9e80.2878 ph/bit P 1.00002 10onK
Cf. OOK with ideal photon counting: -910 ph/bit @ BER=10K More precise threshold optimization (file PhIM.nb & next page):
-939.6 ph/bit @ BER=10 @ 0.52K b a Literature quotes -938 ph/bit @ BER=10 K as it uses a discrete photon arrivals model for the photodetector (and evaluatesOA output statistics) rather than assuming a quadratic detection model like here
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Coherent/Non-Coherent Bandpass channel – complex representation
( )( ) ( ) /40.5 1 2 , / 2 0.5onon on
eKP K KQ e
( )insE t
+OA
( )aseE t
( )outsE t
G
FIBER CHANNELOPTTX
0A OF
( )f t( )onKPhotonsin “on”pulse
0A
photo-det
( ) 2onK K
/ 20.5 1 2 , 0.5eKP KQ eK
This may be alternatively derived applying the Normalized Q-factor Model(next slide):
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ASYN PAM PWEP- Normalized Q-factor (NQF)
2
80.5 0.5 1 [ , / 2s
e OOK ASYNP BER e Q s s
( ) ( )
0 0 0
2 2(0)ˆ 2 2as s s
k
p aq q q
N N N
(i) ASYN On-Off Keying (OOK):
( )
2 22
ˆ 2/ 2(0 ) / 2
A a ad
aaA
…continued…
Assume MF: †,1
f h
†
( )
,ˆˆ 1 2 2a
f hq d
Review from S4Modern Comm
0
0
2 2s K
s
N
KqN
/ 20.5 1 2 , 0.5eKP KQ eK
2
8
2
0.5 0.5 1 [ , / 2q
e
q K
P e Q q q
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• Exercise: Evaluate the BER for a two-level
ASK modulation format:
The upper level has K photons at the OA in
The lower level has photons
where is the extinction ratio.0 1 K
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Example: duobinary with optical amplification
Exercise: Derive an expression for the BER of duobinary detection with optical amplification.Cf. [Bosco, et. al]
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OVERFLOWS
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Optical Engineering characteristics of the optical amplifier (III)
So we can relate the optical spectral power to the (two-sided) spectral density of the field:
“1Hz” always 2-sided in these slides
+OA
( )aseE t
G
spGnfor large gain
in effaseK
In a noiseless amplifier of gain if we inject a beam with Poisson statistics with two-sided spectral density
thus with the same average count per second (see next slide)then the ideally amplified input noise generates at the output the same average count as the actual noisy amp,
1
in effase H spz
K n G
in effas pe sn
1ase Hz spK Gn
Ideally, for the input referred effective uncertaintyrepresenting the ASE output noise is one photon per sec
1spn
Also think in terms of an effectivenoisy input field
( ) /aseE t G
2-s 2-s
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Reminder: PSD of a homogeneous Poisson impulsive process
1
( ) ( )tN
ii
t t
e.g. a photons arrivals process for a CW beam(each photon arrival marked by an impulse)
Stationary (homogenous) Poisson process with rate (mean number of arrivals per second)
We have shown (in “Random Signals”) that the spectrum of this process is white. Assuming whiteness, its particular PSD constant level is readily derived as follows:
Let us filter the process through an LTI “spectral-analysis” filter with unity gain and 1 Hz two-sided bandwidth, or equivalently with unity energyThe PSD level equals the variance at the output of this filter.
220 0/ 2 / 2h N N
E.g., a one-second integrator, with impulse response
[ 1/ 2,1/ 2]( ) [ ] ( )h t rect t t 1has unity energy, unity DC gain, 1 Hz effective noise bandwidth.
Therefore its output variance, when is input into it, equalsBut the integrator output also describes the number of arrivals in 1 sec, hence is Poisson distributed, i.e. the mean count equals the variance.On the other hand, the mean count at the output equals the process rate
( )t 0 / 2N
2
0/ 2N We conclude: Two-sided PSD level = the mean count rate
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Alternative derivation of the optical amplifier noise figure
THIS SECTION: SELF-STUDY
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Optical Engineering Application: Optical Amplifiers Cascade
THIS SECTION: SELF-STUDY
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Statistical optical mixing of stationary independent light
sources A useful analysis for optical measurements
Here it provides an alternative derivationof the signal x spontaneous beat noise
THIS SECTION: SKIP
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Beating two light beams (I)Expressed in terms of the analytic signals and complex envelopes, the electric fields are:
1 2dE E E
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Beating two light beams (II)
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Beating two light beams (III)
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Beating two light beams (IV)
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Second-order statistics of the superposition of two light fields (I)
The resulting theory will be useful in the analysis of optical measurements as well as in figuring out the noise properties of optical amplifiers.
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Second-order statistics of the superposition of two light fields (II)
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Second-order statistics of the superposition of two light fields (III)
2
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Second-order statistics of the superposition of two light fields (IV)
Stationary whenever the fields are
The time-averaged autocorrelation of the mixing term of the irradiance for atotally general superposition of two independent fields simplifies to:
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Second-order statistics of the superposition of two light fields (V)
At this point, let us specialize to two independent stationary fields, in which case we have seen the fourth moment of the field breaking down into a product of two t-invariant autocorrelations. Application of the time averaging then has no effect in this case, yielding the following expression for the mixing term of the irradiance generated by the superposition of two stationary independent fields:
* *1 1 2 2
1Re ( ) ( ) ( ) ( )
2 a a a aE t E t E t E t
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Second-order statistics of the superposition of two light fields (VI)stationary
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Second-order statistics of the superposition of two light fields (VII)stationary
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Second-order statistics of the superposition of two light fields (VIII)
repeat…
deterministic cross-correlation of two waveforms
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Second-order statistics of the superposition of two light fields (IX)
0 0 0
Opt. freq.
0 RF freq.
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Second-order statistics of the superposition of two light fields (X)
The total irradiance of the superposition of the two independent stationary fields.
We identify nine terms in its autocorrelation:
a a
*
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Second-order statistics of the superposition of two light fields (XI)
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Second-order statistics of the superposition of two light fields (XII)
independent
1
1-T/2
T/2
Self-study
The paper also treats the case when one or both of the beatingfields is nonstationary, as is the case when one or both of the fields are subject to modulation.
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Signal-spontaneous beat noise derivation (I)
We have worked hard in section ? to derive the heterodyne beating term between two mutually incoherent optical signals that superpose together. Applying those results to the problem at hand,we view the amplifier output as the superposition of the signal and ASE fields:The total photocurrent is given by
sig-spont. noisespont-spont. noise
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To begin with, let us take for simplicity
It is convenient to revert to the respective irradiances in the optical domain, doing away with thescaling constants
These should be considered as representations of the respective photocurrents, linearly mappedback for convenience to the irradiance domain.
Signal-spontaneous beat noise derivation (II)
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??
Signal-spontaneous beat noise derivation (III)
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Signal-spontaneous beat noise derivation (IV)
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Apply theorem on the spectrum of the irradiance of the superposition of two independent fields:
Yielding for the cross-term:
Signal-spontaneous beat noise derivation (V)
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XS ν
MID1
0+XS ν ν
0XS ν-ν 0+XS ν ν
MID2
00 0202 0
Signal-spontaneous beat noise derivation (VI)
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Signal-spontaneous beat noise derivation (VII)
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OA
Signal-spontaneous and spontaneous-spontaneous beat noises – summary
2B 2B
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Signal-Spontaneous and Spontaneous-Spontaneous beat
noise
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Signal-spontaneous and spontaneous-spontaneous beat noises (I)
We view the amplifier output as the superposition of the signal and ASE fields:The total photocurrent is given by
sig-spont. noisespont-spont. noise
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Signal-spontaneous and spontaneous-spontaneous beat noises (II)
To begin with, let us take for simplicity
It is convenient to revert to the respective irradiances in the optical domain, doing away with thescaling constants
These should be considered as representations of the respective photocurrents, linearly mappedback for convenience to the squared optical field domain (or to the opticalpower domain).
Alternatively, we might work in the optical power domain: ,s sp sp spP P
It is as if there are optical powerfluctuations of these sizes…Effective IM noise terms…
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Signal-spontaneous and spontaneous-spontaneous beat noises (II)
•Again the beat noise terms will only show up on the photo-detector. •However we choose to represent it as if it is already existent in the optical domain. •In a sense these are photocurrent mean square fluctuations, all referred back to the input optical domain by division by the responsivity.
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Optically Pre-Amplified ReceiverOptically Pre-Amplified Receiver
)( ()s t n t
2 2 2 2 2( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )e o os n on oy sS H S H S H S H Sf f f f f f f f f H f
22 2 2 2( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )0 ( ) ( )on n e o o en n ny f f f f f fS H S H S H H S df H
Introduce the cross-correlation of deterministic real waveforms:
( ) ( ) ( ) ( )f f fA B A B d
independent
in the general results*( , ) ( ) ( ) ( )o o eH H H Hf f f Set
PSD of term: n n
s nPSD of terms:
Optical Filter Electrical FilterPhoto-diode
|.|2 e f
Ho
H ( )y t
Assume stationary, Gaussian:( )n t
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