Active sonar detection in multipath: A New bispectral analysis approach

Tague, J.A.; Pike, Cameron; Sullivan, Edmund J.

doi:10.1007/bf01183741

Cited by 11 publications

(4 citation statements)

References 8 publications

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“…As the result of the second Fourier transform of the thirdorder cumulant, the bispectrum retains the advantages of the third-order cumulant in suppressing Gaussian noise, retaining phase information, extracting non-Gaussian information, and identifying nonlinear signals. The underwater background noise is usually a composite signal close to the Gaussian random field [21], and its bispectrum is basically close to zero according to the high-order cumulant property [22], [23].…”

Section: ) Third-order Cumulants and Bispectrummentioning

confidence: 99%

“…Target Signal (Non-Gaussian Signal) In that field of third-order cumulant correlation estimation, bispectral features are commonly used for the detection and identification of ship radiate underwater acoustic noise and underwater acoustic transient signals according to characteristics of the non-Gaussian test of the third-order detector [18], [22], [24]- [30], [37]. [20], [31], [32] simultaneously carried out PDF modeling and analysis on the ship radiation underwater acoustic noise and the underwater acoustic transient signal by using frequency spectrum and bispectrum.…”

Section: Non-gaussian Detectionmentioning

confidence: 99%

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High-Order Domain Feature Extraction Technology for Ocean Acoustic Observation Signals: A Review

et al. 2023

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For the acquisition of ocean observation information, the underwater acoustic signal is the only known medium that can propagate over long distances in water. However, the underwater acoustic field environment is highly time-varying and spatially variable, and ocean acoustic observation signals are mixed Gaussian, non-cooperative, and nonlinear. Therefore, feature extraction of underwater target signals has been a challenging research direction. The high-order domain feature extraction method of ocean acoustic observation signal is widely used because of its advantages of anti-Gaussian background noise and preservation of signal phase information. Firstly, this paper analyzes three aspects, including the characteristics of ocean acoustic observation signals, the limitations of second-order domain processing methods, and advantages of high-order domain processing methods. Then, this paper focuses on theoretical advantages and application areas of signal high-order domain feature extraction technology. The technical development and application performance of common feature extraction technology in the field of ocean acoustic observation signal processing by higher-order domain methods in recent years are analyzed in the paper, and the challenges and future trends of higher-order domain feature extraction technology in marine acoustic observation signal processing are discussed in the context of recent studies.

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Section: ) Third-order Cumulants and Bispectrummentioning

confidence: 99%

Section: Non-gaussian Detectionmentioning

confidence: 99%

High-Order Domain Feature Extraction Technology for Ocean Acoustic Observation Signals: A Review

et al. 2023

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“…However, for a distorted target echo, which undergoes two-way propagation and reflection by the target in shallow water, the conventional matched filter cannot achieve the promised full processing gain. Consequently, more robust active sonar detectors are needed [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Robust Active Sonar Detection in Frequency and Time Dispersive Channels Using Matching Envelope Spectrum of Multi-Pulse LFM Signals

Yao

Fang

et al. 2020

IEEE Access

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For detecting the target echoes undergoing distortion in frequency and time dispersive channels, a novel robust active sonar detector is proposed. The proposed active detector firstly extracts the matching envelope (ME) of the multi-pulse linear frequency modulation (LFM) signals, and then the peaks of the matching envelope spectrum (MES) contained in the designed grid searching windows are detected. The grid searching windows are designed based on the theoretical analysis of the features of the MES. Lastly, the detector utilizes the detected peaks to make a judgement for determining whether there are target echoes existing in the received signal. In addition, the proposed detector can be applied to detect the multipulse single frequency target echoes. The proposed active detector shows a more stable performance in the frequency and time dispersive channels, compared to several classical methods, including the replica correlation (RC), the segmented RC (SRC), and the RC integration (RCI) detectors. Simulation results validate the improved performance of the active detector, showing a gain of 0.5-4 dB compared with more standard state-of-the-art detectors. Experimental results based on sea trial data have also verified the validity and feasibility of the proposed active detector. INDEX TERMS Active sonar detection, fast-fading distortion (FFD), matched filter, matching envelope spectrum (MES), time-spreading distortion (TSD)

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“…Higher order techniques show promise in applications for stationary signals and also for short-time transients where only a single occurrence of a signal may be available for detection ͑Dwyer, 1984; Hinich and Wilson, 1990;Kletter and Messer, 1990;Sangfelt and Persson, 1993;Delaney, 1994;Tague et al, 1994;Baugh and Hardwicke, 1994;Nuttall, 1994͒. The latter case, for correlation detectors, has been investigated in previous papers by the authors using both computer simulations ͑Pflug et al., 1992b, 1994b͒ and more recently for unknown source detection, using theoretical performance predictions for the case of uncorrelated noise ͑Pflug et al, 1995b͒.…”

Section: Introductionmentioning

confidence: 99%

Known source detection predictions for higher order correlators

Pflug

Ioup

1998

The Journal of the Acoustical Society of America

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The problem addressed in this paper is whether higher order correlation detectors can perform better in white noise than the cross correlation detector for the detection of a known transient source signal, if additional receiver information is included in the higher order correlations. While the cross correlation is the optimal linear detector for white noise, additional receiver information in the higher order correlations makes them nonlinear. In this paper, formulas that predict the performance of higher order correlation detectors of energy signals are derived for a known source signal. Given the first through fourth order signal moments and the noise variance, the formulas predict the SNR for which the detectors achieve a probability of detection of 0.5 for any level of false alarm, when noise at each receiver is independent and identically distributed. Results show that the performance of the cross correlation, bicorrelation, and tricorrelation detectors are proportional to the second, fourth, and sixth roots of the sampling interval, respectively, but do not depend on the observation time. Also, the SNR gains of the higher order correlation detectors relative to the cross correlation detector improve with decreasing probability of false alarm. The source signal may be repeated in higher order correlations, and gain formulas are derived for these cases as well. Computer simulations with several test signals are compared to the performance predictions of the formulas. The breakdown of the assumptions for signals with too few sample points is discussed, as are limitations on the design of signals for improved higher order gain. Results indicate that in white noise it is difficult for the higher order correlation detectors in a straightforward application to achieve better performance than the cross correlation. ͓S0001-4966͑98͒01805-0͔

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Active sonar detection in multipath: A New bispectral analysis approach

Cited by 11 publications

References 8 publications

High-Order Domain Feature Extraction Technology for Ocean Acoustic Observation Signals: A Review

High-Order Domain Feature Extraction Technology for Ocean Acoustic Observation Signals: A Review

Robust Active Sonar Detection in Frequency and Time Dispersive Channels Using Matching Envelope Spectrum of Multi-Pulse LFM Signals

Known source detection predictions for higher order correlators

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