MVDR Beamformer with Subband Peak Energy Detector for Detection and Tracking of Fast Moving Underwater Targets Using Towed Array Sonars

George, Jomon; Amudha, J.; Santhanakrishnan, T.

doi:10.3813/aaa.919302

Cited by 3 publications

(2 citation statements)

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“…Ma et al [7] introduced SPED method into underwater acoustic broadband sonar signal energy detection, and further proposed a beam domain detection. The experiment results show that its performance is limited by the resolutions of the original BTRs; Zheng et al [8] combined SPED and image processing technology to extract the target trajectory of the BTR, while they did not solve the problem that the weak target at the intersection of the trajectory is covered; Jomon et al [9] uses a combination of MVDR and SPED for detection and tracking of fast moving targets, and proposes an efficient parallel scheme; Luo et al [10] used median filtering and order truncation averaging methods to estimate the background noise, and further determine the threshold value for peak judgment in the SPED algorithm, which can reduce the generation of false targets; Yang [11,12] used deconvolution algorithm in the underwater acoustic post-processing part, the main idea is to improve the quality of BTRs by computing its deconvolution with a point spread function (PSF); Zhao et al [13] also applied the deconvolution algorithm to SPED to reduce the generation of many false targets on traditional spatial spectral estimation methods; Zhang et al [14] proposed expanded-SPED algorithm improve cross-azimuth detection of weak targets under strong interference. Wang et al [15] proposed a target localization algorithm based on 2-D SPED, which can achieve higher localization accuracy compared with bearing-only target localization.…”

Section: Introductionmentioning

confidence: 99%

Weak Underwater Acoustic Target Detection and Enhancement with BM-SEED Algorithm

Yin

Wang

et al. 2023

JMSE

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Bearing time record (BTR) is widely used in the field of passive sonar information processing for target detecting and tracking. One of its challenges is to obtain high-resolution beamforming power spectral to facilitate the directions estimating of arrivals, namely DOA estimating. This paper proposes a new algorithm framework Block Matching - Subband Extrema Energy Detection (BM-SEED) to supplement the resolution and enhance the weak targets of BTRs. It extracts the peak features of target trajectories within the conventional beamforming (CBF)-based BTRs by using an improved sub-band peak energy detection (SPED) algorithm, and then enhances the weak targets and suppresses the false-alarm targets through time-spatial autocorrelation analysis. Simulations and sea-trial data evaluations demonstrate that the method of this paper can enhance weak targets, eliminate the interferences of false targets and improve the resolution of BTR targets to 1 degree under −20 dB.

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Section: Introductionmentioning

confidence: 99%

Weak Underwater Acoustic Target Detection and Enhancement with BM-SEED Algorithm

Yin

Wang

et al. 2023

JMSE

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“…Although SPED can improve the direction resolution and provide better detection ability in real acoustic environments, SPED is still affected by its high sidelobe levels, and it generates false alarms [26]. To improve the performance of SPED, one can resort to upgrading the algorithms of energy detection or reducing the sidelobe levels of the beamformed output [27,28].…”

Section: Introductionmentioning

confidence: 99%

Spatial Spectral Enhancement of Broadband Signals in a Towed Array Using Deconvolved Subband Peak Energy Detection

et al. 2022

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Conventional energy detection is a robust method that is usually applied to underwater broadband acoustic signal processing for towed arrays. Due to its low resolution, the weak target detection performance of conventional energy detection is severely degraded in shallow sea environments with strong acoustical reverberation. Subband peak energy detection is an effective method to improve the display resolution of conventional energy detection. However, subband peak energy detection produces false alarms due to the presence of high sidelobe levels. In order to improve the underwater target detection performance, a deconvolved subband peak energy detection method for towed arrays is proposed in this paper. Compared with conventional beamforming, minimum-variance distortionless response with forward–backward averaging and diagonal loading algorithm and subband peak energy detection, the proposed method could robustly provide higher-resolution results and suppress the fake peaks induced by subband peak energy detection. The performance of the proposed method was evaluated with simulation results, and the sea experimental data processing results show that the proposed method is effective in engineering applications.

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Detection of Underwater Targets in the Ocean Through Non-Acoustic Methods

Naresh

Santhanakrishnan

Mathew

2021

2021 International Symposium on Ocean Technology (SYMPOL)

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MVDR Beamformer with Subband Peak Energy Detector for Detection and Tracking of Fast Moving Underwater Targets Using Towed Array Sonars

Cited by 3 publications

References 0 publications

Weak Underwater Acoustic Target Detection and Enhancement with BM-SEED Algorithm

Weak Underwater Acoustic Target Detection and Enhancement with BM-SEED Algorithm

Spatial Spectral Enhancement of Broadband Signals in a Towed Array Using Deconvolved Subband Peak Energy Detection

Detection of Underwater Targets in the Ocean Through Non-Acoustic Methods

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