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access icon free Clutter-suppressing performance estimation methods of active sonar waveform based on reverberation statistical models in littoral environment

© The Institution of Engineering and Technology
Received 23/02/2017, Accepted 06/08/2017, Revised 06/07/2017, Published 09/08/2017

Detecting low-speed quiet targets such as divers and underwater-unmanned-vehicles in littoral environment by using active sonar is becoming increasingly attractive. When using a Doppler insensitive pulsed linearly frequency modulated signal, the high-level clutters which might arise from underwater physical scatterers will lead to excessive false alarm rates and limit the detection performance. However, Doppler sensitive waveforms such as binary phase shift keying have the capability of filtering clutters and degrading false alarms. Thus, the question how to estimate the clutter-suppressing performance of waveforms is essential for sonar system design. In this study, the clutter-rejecting principle of waveform is theoretically introduced firstly. Then, based on the reverberation statistical features, this study proposes two methods, the Doppler-statistic method and envelope-statistic method, separately, to estimate and evaluate the clutter suppressing performance of waveforms. Finally, the methods are verified by lake experiments. It is proved that the first method has the capacity of calculating the confidence probability of suppressing clutters by a waveform, and through the second method, the clutter rejecting performance of waveforms can be evaluated and verified. The methods can be used for selecting and designing waveforms to reduce false alarms and improve detection performance.

Inspec keywords: statistical analysis; reverberation; pulse frequency modulation; probability; sonar detection; Doppler shift; object detection; clutter; sonar signal processing

Other keywords: clutter-rejecting principle; Doppler insensitive pulsed linearly frequency modulated signal; Doppler-statistic method; envelope-statistic method; active sonar waveform; reverberation statistical features; detection performance; confidence probability; reverberation statistical models; clutter filtering; low-speed quiet target detection; false alarm degradation; binary phase shift keying; clutter-suppressing performance estimation methods; littoral environment; underwater physical scatterers; sonar system design; false alarm rates; Doppler sensitive waveforms; high-level clutters

Subjects: Other topics in statistics; Sonar and acoustic radar; Signal detection

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