2019Unpublished venueRequires access

Transmitted Sequence Influence to Sonar Target Detection using Compressive Sensing

Isidora Stanković, Jitendra Singh Sewada, Matt Geen, Cornel Ioana, Miloš Daković, Jérôme Mars

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Abstract

In this paper, the detection of targets in real sonar signals by transmitting various sequences is considered. In sonar systems, only the basic forms of signals were considered for transmission. The challenge of target detection under real data will be analyzed by transmitting two sequences, Alltop and Bjorck. Also, the goal is to detect and reconstruct targets by using a simple yet effective compressive sensing algorithm. Then the amplitude and the range will be calculated. The results of will be compared to the two traditionally used chirp signal, and also to the matched filter as one of the most important tools for signal detection.

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What this paper is about

In this paper, the detection of targets in real sonar signals by transmitting various sequences is considered. In sonar systems, only the basic forms of signals were considered for transmission. The challenge of target detection under real data will be analyzed by transmitting two sequences, Alltop and Bjorck. Also, the goal is to detect and reconstruct targets by using a simple yet effective compressive sensing algorithm. Then the amplitude and the range will be calculated. The results of will be compared to the two traditionally used chirp signal, and also to the matched filter as one of the most important tools for signal detection.

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Method / approach

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Available abstract

In this paper, the detection of targets in real sonar signals by transmitting various sequences is considered. In sonar systems, only the basic forms of signals were considered for transmission. The challenge of target detection under real data will be analyzed by transmitting two sequences, Alltop and Bjorck. Also, the goal is to detect and reconstruct targets by using a simple yet effective compressive sensing algorithm. Then the amplitude and the range will be calculated. The results of will be compared to the two traditionally used chirp signal, and also to the matched filter as one of the most important tools for signal detection.

Key concepts: Sonar, Compressed sensing, Chirp, Matched filter, Computer science, SIGNAL (programming language), Filter (signal processing), Detection theory

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