Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix

Kim, Geunhwan; Lee, Seokjin

doi:10.1109/access.2021.3124509

Cited by 3 publications

(3 citation statements)

References 17 publications

(35 reference statements)

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“…The GSFM waveform introduced in [14] is a waveform originally developed to modify a sinusoidal frequency modulation (SFM) waveform to obtain thumbtack-ambiguity with a good range-Doppler resolution at the same time. Because the GSFM waveform can produce an orthogonal waveform by altering the parameters, it was used to design pulse train waveforms for HDCS systems in previous studies [14,28]. In this study, however, we would like to observe the tradeoff characteristic of the GSFM waveform according to its parameter ρ (parameter ρ will be covered in (4)).…”

Section: B Gsfm Waveform and Its Characteristicsmentioning

confidence: 99%

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Design of Generalized Sinusoidal Frequency Modulated Pulse Train Waveform to Improve Tracking Performance of High Duty Cycle Sonar Systems

et al. 2022

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High duty cycle sonar (HDCS) systems have a high potential for improving tracking performance compared to conventional pulsed active sonar systems, but their implementation has been challenging to achieve. This is because conventional studies had focused primarily on solving direct blast interference problems caused by continuous transmission and reception of pulse train waveforms. In this paper, we propose a design scheme for a generalized sinusoidal frequency modulated (GSFM) pulse train waveform to improve HDCS tracking performance. The proposed optimization scheme utilizes the trade-off relationship between detection performance in a reverberation environment and measurement uncertainty according to the parameter ρ of the GSFM waveform. The detection probability and measurement noise covariance matrix of the Kalman filter are calculated using the HCDS tracking framework, which reflects the designed GSFM pulse train waveform in the tracking process. The simulation using the HDCS tracking framework demonstrated that optimal tracking performance was obtained when the parameter ρ was 1.07.INDEX TERMS Generalized sinusoidal frequency modulated waveform, high-duty cycle sonar system, high duty cycle sonar tracking, pulse train waveform design, I. INTRODUCTIONO VER the past few decades, research on active sonar systems have mainly focused on the pulsed active sonar (PAS) system which transmits a short pulse-type waveform with a long waiting interval when considering its maximum detection range. Due to the long waiting interval, PAS systems suffer from a low target revisit rate (TRR), which leads to a lack of measurements. Consequently, it is difficult to suppress clutter in shallow water and obtain a high tracking performance for long-range moving targets [1,2,3].Recently, the hardware of modern sonar systems have been upgraded enabling a wider dynamic range, and thus solving the problem of saturation when signals with vastly different reception levels are received [3,4]. From a geometrical perspective, modern sonar technologies show a trend towards the operation of multiple platforms and long-range detection; therefore, research on bistatic systems or multistatic sonar systems that are operated with separate transmitters and receivers is being actively conducted [5,6,7,8]. Out of these research trends, a new concept of high duty cycle sonar (HDCS) system is emerging [

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Section: B Gsfm Waveform and Its Characteristicsmentioning

confidence: 99%

“…In this part, the received beam signal is synthesized by simulating reverberation environments of HDCS system. The received beam signal of reverberation can be expressed as [28,30]…”

Section: B Signal Synthesismentioning

confidence: 99%

Design of Generalized Sinusoidal Frequency Modulated Pulse Train Waveform to Improve Tracking Performance of High Duty Cycle Sonar Systems

et al. 2022

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“…Lee et al [22] proposed a reverberation suppression algorithm for continuous wave signals based on the NMF method. Kim et al [23,24] proposed two preprocessing methods that facilitate the application of NMF methods. Jia et al [25] proposed an NMF-based reverberation suppression method that uses matrix rotation for low-rank preprocessing.…”

Section: Introductionmentioning

confidence: 99%

Underwater Reverberation Suppression via Attention and Cepstrum Analysis-Guided Network

Hao

Wang

et al. 2023

JMSE

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Active sonar systems are one of the most commonly used acoustic devices for underwater equipment. They use observed signals, which mainly include target echo signals and reverberation, to detect, track, and locate underwater targets. Reverberation is the primary background interference for active sonar systems, especially in shallow sea environments. It is coupled with the target echo signal in both the time and frequency domain, which significantly complicates the extraction and analysis of the target echo signal. To combat the effect of reverberation, an attention and cepstrum analysis-guided network (ACANet) is proposed. The baseline system of the ACANet consists of a one-dimensional (1D) convolutional module and a reconstruction module. These are used to perform nonlinear mapping and to reconstruct clean spectrograms, respectively. Then, since most underwater targets contain multiple highlights, a cepstrum analysis module and a multi-head self-attention module are deployed before the baseline system to improve the reverberation suppression performance for multi-highlight targets. The systematic evaluation demonstrates that the proposed algorithm effectively suppresses the reverberation in observed signals and greatly preserves the highlight structure. Compared with NMF methods, the proposed ACANet no longer requires the target echo signal to be low-rank. Thus, it can better suppress the reverberation in multi-highlight observed signals. Furthermore, it demonstrates superior performance over NMF methods in the task of reverberation suppression for single-highlight observed signals. It creates favorable conditions for underwater platforms, such as unmanned underwater vehicles (UUVs), to carry out underwater target detection and tracking tasks.

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Underwater spectral line enhancement and transient interference suppression based on constrained non-negative matrix factorization

Jia,

2023

Applied Acoustics

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Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix

Cited by 3 publications

References 17 publications

Design of Generalized Sinusoidal Frequency Modulated Pulse Train Waveform to Improve Tracking Performance of High Duty Cycle Sonar Systems

Design of Generalized Sinusoidal Frequency Modulated Pulse Train Waveform to Improve Tracking Performance of High Duty Cycle Sonar Systems

Underwater Reverberation Suppression via Attention and Cepstrum Analysis-Guided Network

Underwater spectral line enhancement and transient interference suppression based on constrained non-negative matrix factorization

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