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EET260 FM: FM Noise Analysis

EET260 FM: FM Noise Analysis

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EET260 FM: FM Noise Analysis . Why use FM?. Characteristics of AM Easy to modulate and demodulate Narrow bandwidth requirement Characteristics of FM More complex modulation and demodulation required Potentially very large bandwidth requirement (ex. AM radio 10 kHz vs. FM radio 200 kHz) - PowerPoint PPT Presentation

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Page 1: EET260 FM: FM Noise Analysis

EET260 FM:FM Noise Analysis

Page 2: EET260 FM: FM Noise Analysis

Why use FM? Characteristics of AM

Easy to modulate and demodulate Narrow bandwidth requirement

Characteristics of FM More complex modulation and demodulation

required Potentially very large bandwidth requirement

(ex. AM radio 10 kHz vs. FM radio 200 kHz) So why do we bother with FM?

Page 3: EET260 FM: FM Noise Analysis

Noise Suppression Noise suppression is the most important

advantage of FM over AM. Static noise is almost never heard on FM. Static noise is almost always present on AM.

The difference in performance between AM and FM is due to how the two modulating schemes carry information. AM in amplitude FM in phase

Page 4: EET260 FM: FM Noise Analysis

Edwin Armstrong: First regularFM radio broadcasting.

19221837 20071880 1965

1941FM history

Page 5: EET260 FM: FM Noise Analysis

Noise in an AM signal

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

Time

Am

plitu

de

FM Signal w/o Noise

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

Time

Am

plitu

de

FM Signal w/ Noise

“clean” AM signal at transmitter

additive noise in transmission

“noisy” AM signal at the receiver (S/N = 10 dB)

+

Page 6: EET260 FM: FM Noise Analysis

Noise in an FM signal

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

Time

Am

plitu

de

FM Signal w/o Noise

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

Time

Am

plitu

de

FM Signal w/ Noise

+

“clean” FM signal at transmitter

additive noise in transmission

“noisy” FM signal at the receiver (S/N = 10 dB)

Page 7: EET260 FM: FM Noise Analysis

FM Limiter Circuit Since amplitude should be constant for an

FM signal, anything larger is due to noise and can be removed.

This is the action of the limiter circuit in the receiver.

Noise also causes undesired phase errors and the limiter cannot remove these.

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

Time

Am

plitu

de

FM Signal w/ Noise after Limiter

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

Time

Am

plitu

de

FM Signal w/ Noise

Limiter

Page 8: EET260 FM: FM Noise Analysis

Phase error analysis Consider a phasor representation of the

FM signal (vector lengths determined by S/N ratio)

Worst case phase error () occurs when N is perpendicular to the resultant.

S

resultant

N

vector representing FM signal (Sin)

vector representing noise signal (Nin)

resultant vector (S + N)

S

resultantN

Page 9: EET260 FM: FM Noise Analysis

Phase error analysis Magnitude of maximum phase error () is

given

The phase error induces a frequency error (n) given

where n is phase error (in radians)

S

resultantN

n1sin [radians]N

n S

n n mf

Page 10: EET260 FM: FM Noise Analysis

Phase error analysis Since frequency conveys information in FM, this

frequency error n will translate into an amplitude error in the demodulated signal.

The S/N ratio of the output is given

where fd (max) is the maximum frequency deviation.

n n mf

(max)dout

out n

fSN

Page 11: EET260 FM: FM Noise Analysis

Broadcast FM (fd (max) = 75 kHz): Determine the worst-case output S/N for a broadcast FM program that has a maximum modulating frequency of 5 kHz. The S/N ratio of the received signal is 2.

Example Problem 1

Page 12: EET260 FM: FM Noise Analysis

Narrowband FM (fd (max) = 10 kHz): Determine the worst-case output S/N for a narrowband FM receiver with a maximum modulating frequency of 3 kHz. The S/N ratio of the received signal is 3.

Example Problem 2

Page 13: EET260 FM: FM Noise Analysis

FM Noise Analysis The previous two examples show that

noise reduction is improved when the modulating frequency (fm) is reduced.

Noise can also be reduced by increasing mf at the cost transmitted bandwidth.

2 30in out

in out

S SN N

3 10in out

in out

S SN N

Example 1:mf=5

Example 2:mf=3

Input S/N Output S/N

(~12 dB gain)

(~5 dB gain)

Page 14: EET260 FM: FM Noise Analysis

Noise suppression for various modulation formats

Page 15: EET260 FM: FM Noise Analysis

Capture effect The ability of FM to minimize the effect of noise

also explains a phenomena known as the capture effect.

In the presence of two FM stations on the same frequency, an FM receiver will lock-onto or “capture” the stronger signal and ignore or suppress the weaker.

This is unlike AM, where it is common to hear two stations simultaneously.

Washington DC90.9 MHz

Baltimore90.9 MHz

Page 16: EET260 FM: FM Noise Analysis

Threshold The threshold is the input S/N ratio below

which a sharp deterioration in output S/N ratio occurs.

Page 17: EET260 FM: FM Noise Analysis

Threshold The effect of input S/N ratio decreasing

below the threshold value is observed when driving in a large city with a weak FM signal.

Multi-path reflections off buildings cause the S/N ratio to dip below the threshold which causes FM radio output to completely blank out.

Page 18: EET260 FM: FM Noise Analysis

Preemphasis Returning to the expression for frequency error,

we can see that larger error is induced for higher modulating frequencies (fm)

This is compounded by the fact that higher frequency components tend to have smaller amplitudes.

To improve noise suppression for high frequencies, preemphasis is applied prior to modulation.

n n mf

Page 19: EET260 FM: FM Noise Analysis

Preemphasis Preemphasis is the process in an FM

transmitter of artificially amplifying high frequency components to reduce the effect of noise prior to modulation.

Page 20: EET260 FM: FM Noise Analysis

Deemphasis Deemphasis is reverses the effect of

preemphasis by reducing the amplitude of high frequency components in the receiver after demodulation.

Page 21: EET260 FM: FM Noise Analysis

Dolby System

Harman Kardon CAD-5 Cassette Deck (1970).

KLH Model 40 reel-to-reel recorder (1968).