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Deployment Optimization Method of Multistatic Radar for Constructing Circular Barrier Coverage
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513046/ https://www.ncbi.nlm.nih.gov/pubmed/34640891 http://dx.doi.org/10.3390/s21196573 |
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author | Li, Hai-Peng Feng, Da-Zheng Chen, Shao-Feng Zhou, Ya-Peng |
author_facet | Li, Hai-Peng Feng, Da-Zheng Chen, Shao-Feng Zhou, Ya-Peng |
author_sort | Li, Hai-Peng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8513046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85130462021-10-14 Deployment Optimization Method of Multistatic Radar for Constructing Circular Barrier Coverage Li, Hai-Peng Feng, Da-Zheng Chen, Shao-Feng Zhou, Ya-Peng Sensors (Basel) Article 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. MDPI 2021-09-30 /pmc/articles/PMC8513046/ /pubmed/34640891 http://dx.doi.org/10.3390/s21196573 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Hai-Peng Feng, Da-Zheng Chen, Shao-Feng Zhou, Ya-Peng Deployment Optimization Method of Multistatic Radar for Constructing Circular Barrier Coverage |
title | Deployment Optimization Method of Multistatic Radar for Constructing Circular Barrier Coverage |
title_full | Deployment Optimization Method of Multistatic Radar for Constructing Circular Barrier Coverage |
title_fullStr | Deployment Optimization Method of Multistatic Radar for Constructing Circular Barrier Coverage |
title_full_unstemmed | Deployment Optimization Method of Multistatic Radar for Constructing Circular Barrier Coverage |
title_short | Deployment Optimization Method of Multistatic Radar for Constructing Circular Barrier Coverage |
title_sort | deployment optimization method of multistatic radar for constructing circular barrier coverage |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513046/ https://www.ncbi.nlm.nih.gov/pubmed/34640891 http://dx.doi.org/10.3390/s21196573 |
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