Evidence map›Paper›PMID 34640891›Full record

ArticleSensors (Basel, Switzerland)2021

Deployment Optimization Method of Multistatic Radar for Constructing Circular Barrier Coverage.

Hai-Peng Li, Da-Zheng Feng, Shao-Feng Chen, Ya-Peng Zhou

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hai-Peng LiNational Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China.
Da-Zheng FengNational Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China.
Shao-Feng ChenTeaching and Research Support Center, Engineering University of PAP, Xi'an 710086, China.
Ya-Peng ZhouXi'an Electronic Engineering Research Institute, Xi'an 710100, China.

Funding

National Natural Science Foundation of China 61971470
6 · The paper itself

Abstract

To construct circular barrier coverage (CBC) with multistatic radars, a deployment optimization method based on equipartition strategy is proposed in this paper. In the method, the whole circular area is divided into several sub-circles with equal width, and each sub-circle is blanketed by a sub-CBC that is built based on the multistatic radar deployment patterns. To determine the optimal deployment patterns for each sub-CBC, the optimization conditions are firstly studied. Then, to optimize the deployment of the whole circular area, a model based on minimum deployment cost is proposed, and the proposed model is divided into two sub-models to solve the optimization issue. In the inner model, it is assumed that the width of a sub-circle is given. Based on the optimization conditions of the deployment pattern, integer linear programming (ILP) and exhaustive method (EM) are jointly adopted to determine the types and numbers of deployment patterns. Moreover, a modified formula is introduced to calculate the maximum valid number of receivers in a pattern, thus narrowing the search scope of the EM. In the outer model, the width of a sub-circle is assumed to be a variable, and the EM is adopted to determine the minimum total deployment cost and the optimal deployment patterns on each sub-circle. Moreover, the improved formula is exploited to determine the range of width for a sub-circle barrier and reduce the search scope of the EM. Finally, simulations are conducted in different conditions to verify the effectiveness of the proposed method. The simulation results indicate that the proposed method can spend less deployment cost and deploy fewer transmitters than the state-of-the-artwork.

Indexed as

circular barrier coveragedeployment optimizationdeployment patternminimum deployment costmultistatic radar

Identifiers

PMID34640891
PMCPMC8513046

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