期刊
SIGNAL PROCESSING
卷 143, 期 -, 页码 292-297出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2017.09.006
关键词
Antenna deployment; Convergence criterion; Multistatic radar; MOPSO; Interval distance
资金
- Chang Jiang Scholars Program
- National Natural Science Foundation of China [61501083]
- Fundamental Research Funds of Central Universities [ZYGX2015KYQD056, ZYGX2014Z005]
In this paper, considering multiple regions for interference simultaneously, an optimal antenna deployment problem for distributed multistatic radar is investigated. The optimal antenna deployment problem is solved by proposing an antenna deployment method based on Multi-Objective Particle Swarm Optimization (MOPSO). Firstly, we construct a multi-objective optimization problem for multistatic radar antenna deployment by choosing the interference power densities of different regions as objective functions. Then, to obtain the optimal deployment result without wasting time and computational resources, an iteration convergence criterion based on interval distance is proposed. The iteration convergence criterion can be used to stop the MOPSO optimization process efficiently when the optimal antenna deployment algorithm reaches the desired convergence level. Finally, numerical results are provided to verify the validity of the proposed algorithm. (C) 2017 Elsevier B.V. All rights reserved.
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