Passive Detection of Ship-Radiated Acoustic Signal Using Coherent Integration of Cross-Power Spectrum with Doppler and Time Delay Compensations
Abstract
:1. Introduction
2. Theory of Coherent Integration for the Cross-Power Spectrum with Doppler and Time Delay Compensations
2.1. Signal Model and Cross-Power Spectrum Coherent Integration
2.2. Estimations and Compensations of Doppler Factor and Time Delay for Cross-Power Spectrum
2.2.1. Methods for Doppler Factor and Time Delay Estimations
2.2.2. Compensations of Doppler Factor and Time Delay for Cross-Power Spectrum
2.3. Implementation of Coherent Integration Using the Compensated Cross-Power Spectrum and Analysis of Integration Gain
3. Performance of Different Algorithms for Discrete Spectral Estimation in Simulation
3.1. Simulated Signals
3.2. Analysis of Narrowband Discrete Spectral Estimation Results Obtained from Different Methods
3.3. Extra Integration Gain
4. Analysis of Experimental Data Processing Using Different Methods
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A. Theory and Implementation of a Two-step Method for Time Scale Factor and Time Delay Estimations
Appendix B. Parameter settings of the Methods for Spectral Estimation
Appendix B.1. Simulated Signal Processing
- The dimension of the covariance matrix calculated by 299,000 snapshots in MUSIC [35] is . The number of discrete spectra to be estimated is set to three;
- For CPSCI, CPSII, and CCPSCI, the sliding window length of LOFAR is equal to the total integration length for one incoherent or coherent integration. The number of integrations is 10, and the time length of each integration is 3 s, i.e., there is no overlap between any two integrations during each incoherent or coherent integration. The search range of time scale factor in CCPSCI is with a search step size of . The search range can be set according to the maximum speed of the moving target;
- In order to reduce the influence from the obvious fluctuations in the continuous spectrum, the continuous spectrum of all the estimation results are made stationary with the help of detrending processing, which is achieved through polynomial fitting. The received signals are band-pass filtered in the frequency range shown in the LOFAR results before spectral estimation. Therefore, the processing of polynomial fitting is implemented in a narrowband. Generally, the continuous spectrum of sonar signal in a narrowband is linear or quadratic, which can be obtained by polynomial fitting [36,37];
- The final spectral estimation result of each method is normalized and then displayed by LOFAR.
Appendix B.2. Experimental Data Processing
- The lasso technique is applied for performing minimization in the CS;
- The dimension of the covariance matrix calculated by 292,000 snapshots in MUSIC is . The number of discrete spectra to be estimated is set to eight;
- The implementation for obtaining the incoherent and coherent integration of CPSCI, CPSII, and CCPSCI in experimental data processing is the same as in the simulation. The search range of time scale factor in CCPSCI is with a search step size of ;
- All of the detection results are detrended by polynomial fitting to remove the fluctuating background noise;
- The final spectral estimation result of each method is normalized and then displayed by LOFAR.
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Algorithm | Abbreviations |
---|---|
Compressed Sensing | CS |
Multiple Signal Classification | MUSIC |
Cross-Power Spectrum Coherent Integration | CPSCI |
Cross-Power Spectrum Incoherent Integration | CPSII |
Compensated Cross-Power Spectrum Coherent Integration | CCPSCI |
Algorithm | SNR = 20 dB | SNR = −10 dB | ||||
---|---|---|---|---|---|---|
134 Hz | 146 Hz | 158 Hz | 134 Hz | 146 Hz | 158 Hz | |
CPSCI/dB | −6.902 | −8.037 | −12.865 | −9.707 | −12.515 | −11.155 |
CPSII/dB | −6.297 | −8.406 | −11.055 | −6.262 | −8.168 | −11.165 |
CCPSCI/dB | −6.571 | −6.455 | −8.275 | −6.331 | −7.423 | −9.267 |
Algorithm | 199 Hz | 212 Hz | 225 Hz | 238 Hz | 251 Hz | 262 Hz | 282 Hz | 301 Hz |
---|---|---|---|---|---|---|---|---|
CPSCI/dB | −4.378 | −4.378 | −6.545 | −10.885 | −2.201 | −8.716 | −6.535 | −2.185 |
CPSII/dB | −4.374 | −4.378 | −6.546 | −8.711 | −0.032 | −13.055 | −4.371 | −2.182 |
CCPSCI/dB | −0.033 | −0.041 | −2.222 | −6.568 | −0.027 | −4.381 | −0.035 | −0.007 |
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Guo, W.; Piao, S.; Guo, J.; Lei, Y.; Iqbal, K. Passive Detection of Ship-Radiated Acoustic Signal Using Coherent Integration of Cross-Power Spectrum with Doppler and Time Delay Compensations. Sensors 2020, 20, 1767. https://doi.org/10.3390/s20061767
Guo W, Piao S, Guo J, Lei Y, Iqbal K. Passive Detection of Ship-Radiated Acoustic Signal Using Coherent Integration of Cross-Power Spectrum with Doppler and Time Delay Compensations. Sensors. 2020; 20(6):1767. https://doi.org/10.3390/s20061767
Chicago/Turabian StyleGuo, Wei, Shengchun Piao, Junyuan Guo, Yahui Lei, and Kashif Iqbal. 2020. "Passive Detection of Ship-Radiated Acoustic Signal Using Coherent Integration of Cross-Power Spectrum with Doppler and Time Delay Compensations" Sensors 20, no. 6: 1767. https://doi.org/10.3390/s20061767
APA StyleGuo, W., Piao, S., Guo, J., Lei, Y., & Iqbal, K. (2020). Passive Detection of Ship-Radiated Acoustic Signal Using Coherent Integration of Cross-Power Spectrum with Doppler and Time Delay Compensations. Sensors, 20(6), 1767. https://doi.org/10.3390/s20061767