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Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

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Page 1: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

Roee Diamant, Lutz Lampe, Emmett Gamroth

Low Probability of Detection for Underwater Acoustic

Communication Networks

Page 2: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

2

Motivation

LPD not LPI !

Applications: Military – “quite” sonar, UWAC Safety & Environment – regulations are dB/Hz

Lack of clear definition – what is LPD? Low SNR? Blend in noise? LPD by who?

Objective: representation of LPD

Page 3: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

3

Methods for LPD UWAC Direct Sequence Spread Spectrum (DSSS):

random phase [Ling:2010] Chaotic sequence [Lei:2011]

OFDM – close bands + slow Tx rate [Leus:2008] Focusing: time reversal [Yang:2008], MIMO [Zhu:2006]

Frequency

PS

D

noise level

Frequency

PS

D

noise levelDispreading:Spreading:

Interceptor: Receiver:

Page 4: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

4

Quality Measures Determine if a comm. System is LPD Alternatives:

We use:

captures target Pd, Pfa of interceptor, and Pe of receiver Not related to Tx power LPD - for each , define Truly covert - , Good LPD -

]2011:Blunt[

In

In

Rx

Rx

SNPRSNRSNPRSNR

]2012:Liao[

Rate,

,

FHd

RxTxd

Pf

RPf

]2006:Walree[ThRx

In

SNPR

SNPR

)max(

)max(

Rx-Tx

In-Tx

r

r

5.01

Rx-Txr

Page 5: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

6

LPD Comm. System – a Test Case Simple attenuation model:

Model used to set upper and lower bounds on LPD!

SNPR at distance r from Tx:

Assuming similar at Rx and In, we get

If are similar :

LLL NrTS ,,

rrTL rlog,,

LN

1log min,min,

Rx-Tx

InRxr

,,

,,,

min

Rx-Tx

InRxfr

,

Page 6: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

7

Capabilities: Receiver and Interceptor

Interceptor – energy detection:

Interceptor SNPR (ROC):

Receiver detection (ROC):

Receiver decoding:

In

d1-

fa1-

min,

12erfc2erfc

2

GPP

WTIn

Rx

2

d1-

fa1-

syncmin,

12erfc2erfc

1

GPP

WTRx

modelationWT,k,TN,,, sRxemin, GPfRx

Page 7: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

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Simulation Parameters:

MPSK DSSS vs. Energy detector

100,0001.0,5.0,0001.0 Ind

Infa NPPP e

Channel Parameters Spreading factor

Page 8: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

9

Sea Trial

Vancouver Island - Saanich Inlet

Vessels: Transmitter – fixed buoy (Ocean Technology Test Bed, UVIC) Receiver – drifting vessel Interceptor– maneuvering vessel

Procedure: Find Tx-Rx range (max s.t. BER = 0) Find Tx-In range (max s.t. detect)

Page 9: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

10

Sea Trial - ResultsFc = 40kHz Fc = 30kHz

True LPD is possible!

Page 10: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

11

Summery Channel Effect:

LPD inversely proportional to carrier frequency ( ) LPD better in shallow water ( )

Communication Effect: LPD increases with spreading factor (K), LPD decreases as Tx rate increase LPD inversely proportional to number of symbols (N)

True LPD is possible! (validated in sea trial)

Thank you!

Page 11: Roee Diamant, Lutz Lampe, Emmett Gamroth Low Probability of Detection for Underwater Acoustic Communication Networks

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Reference J. Ling, H. He, J. Li, W. Roberts, and P. Stoica, “Covert underwater acoustic

communications: Transciever structures, waveform designs and associated performances,” Journal of Acoustical Society of America, vol. 128, no. 5, p. 2898-2909, Nov. 2010.

L. Lei and F. Xu, “A chaotic direct sequence spread spectrum communication system in shallow water,” in International Conference on Control, Automation and Systems Engineering (CASE), Singapore, Jul. 2011.

G. Leus, P. Walree, J. Boschma, C. Franciullacci, H. Gerritsen, and P. Tusoni, “Covert underwater communication with muliband OFDM,” in IEEE OCEANS, Quebec City, Canada, Sep. 2008.

W. Zhu, B. Daneshrad, J. Bhatia, and K. Hun-Seok, “MIMO systems for military communications,” in IEEE Military Communications Conference (MILCOM), Washington, DC, Oct. 2006.

T. Yang and W. Yang, “Performance analysis of direct-sequence spread-spectrum underwater acoustic communications

with low signal-to-noise-ratio input signals,” Journal of Acoustical Society of America, vol. 123, no. 2, pp. 842–855, Feb. 2008.

S. Blunt, J. Metcalf, C. Biggs, and E. Perrins, “Perforamnce charectaristics and metrics for intra-pulse radar-embedded communication,” IEEE J. Select. Areas Commun., vol. 29, no. 10, pp. 2057–2066, Dec. 2011.

P. Walree, T. Ludwig, C. Solberg, E. Sangfelt, A. Laine, G. Bertolotto, and A. Ishøy, “UUV covert acoustic communicatios,” in Underwater Defence Technologies (UDT), Hamburg, Germany, 2006.

C. Liao and T. Woo, “Adaptation from transmission security (TRANSEC) to cognitive radio communication,” in Advances in Cognitive Radio Systems. InTech, 2012, pp. 81–104.