2017•Unpublished venueRequires access

Active sonar reverberation suppression based on beam space data normalization

Jun Wang, Chao Wang, Tao Cheng

Open publisher page 1 citations

Abstract

Reverberation is the main interference in active sonar detection, due to its special properties, reverberation suppression is a difficult problem in active sonar signal processing. In this paper, the method of reverberation suppression is studied, and a new method based on the normalization of the beam space data is proposed. The basic idea of this method is to normalize the time waveform of the beam space, and then carry out the subsequent matched filtering and port-starboard discrimination. This method can reduce CFAR detection probability under reverberation background, remove the interference of own ship, and does not affect the performance of the subsequent signal processing, compared with the method of normalization after matched filtering, this algorithm has low false alarm probability and engineering practicability, Shallow sea experimental data of active towed array show that the method is effective.

About this research paper

What this paper is about

Reverberation is the main interference in active sonar detection, due to its special properties, reverberation suppression is a difficult problem in active sonar signal processing. In this paper, the method of reverberation suppression is studied, and a new method based on the normalization of the beam space data is proposed. The basic idea of this method is to normalize the time waveform of the beam space, and then carry out the subsequent matched filtering and port-starboard discrimination. This method can reduce CFAR detection probability under reverberation background, remove the interference of own ship, and does not affect the performance of the subsequent signal processing, compared with the method of normalization after matched filtering, this algorithm has low false alarm probability and engineering practicability, Shallow sea experimental data of active towed array show that the method is effective.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Reverberation is the main interference in active sonar detection, due to its special properties, reverberation suppression is a difficult problem in active sonar signal processing. In this paper, the method of reverberation suppression is studied, and a new method based on the normalization of the beam space data is proposed. The basic idea of this method is to normalize the time waveform of the beam space, and then carry out the subsequent matched filtering and port-starboard discrimination. This method can reduce CFAR detection probability under reverberation background, remove the interference of own ship, and does not affect the performance of the subsequent signal processing, compared with the method of normalization after matched filtering, this algorithm has low false alarm probability and engineering practicability, Shallow sea experimental data of active towed array show that the method is effective.

Key concepts: Reverberation, Marine mammals and sonar, Normalization (sociology), Sonar, Sonar signal processing, Acoustics, Computer science, Waveform

Related papers

Back to paper searchBrowse research topicsOriginal source
Active sonar reverberation suppression based on beam space data normalization — Research Paper | ScholarLens