Sensor placement of multistatic radar system by using genetic algorithm

Lei, Pengzheng; Huang, Xiaotao; Wang, Jian; Ma, Xingkong

doi:10.1109/igarss.2012.6352544

Cited by 8 publications

(1 citation statement)

References 11 publications

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“…George and DelBalzo () and Tharmarasa, Kirubarajan, and Lang () utilize a genetic algorithm to maximize area coverage and tracking performance of a multistatic sonar network. Similarly, Lei, Huang, Wang, and Ma () employ a genetic algorithm to determine optimal sensor placement for multistatic radar devices to detect moving targets.…”

Section: Related Workmentioning

confidence: 99%

Bistatic sonobuoy deployment strategies for detecting stationary and mobile underwater targets

Karataş

Craparo

Akman

2018

Naval Research Logistics

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The problem of determining effective allocation schemes of underwater sensors for surveillance, search, detection, and tracking purposes is a fundamental research area in military operations research. Among the various sensor types, multistatic sonobuoy systems are a promising development in submerged target detection systems. These systems consist of sources (active sensors) and receivers (passive sensors), which need not be collocated. A multistatic sonobuoy system consisting of a single source and receiver is called a bistatic system. The sensing zone of this fundamental system is defined by Cassini ovals. The unique properties and unusual geometrical profile of these ovals distinguish the bistatic sensor allocation problem from conventional sonar placement problems. This study is aimed at supporting decision makers in making the best use of bistatic sonobuoys to detect stationary and mobile targets transiting through an area of interest. We use integral geometry and geometric probability concepts to derive analytic expressions for the optimal source and receiver separation distances to maximize the detection probability of a submerged target. We corroborate our analytic results using Monte Carlo simulation. Our approach constitutes a valuable "back of the envelope" method for the important and difficult problem of analyzing bistatic sonar performance.

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Section: Related Workmentioning

confidence: 99%