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Multistatic radar analysis based on ambiguity function and Cramér-Rao lower bounds

Multistatic radar analysis based on ambiguity function and Cramér-Rao lower bounds
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摘要 The primary goal of this work is to characterize the impact of weighting selection strategy and multistatic geometry on the multistatic radar performance.With the relationship between the multistatic ambiguity function(AF) and the multistatic Cramér-Rao lower bound(CRLB),the problem of calculating the multistatic AF and the multistatic CRLB as a performance metric for multistatic radar system is studied.Exactly,based on the proper selection of the system parameters,the multistatic radar performance can be significantly improved.The simulation results illustrate that the multistatic AF and the multistatic CRLB can serve as guidelines for future multistatic fusion rule development and multistatic radars deployment. The primary goal of this work is to characterize the impact of weighting selection strategy and multistatic geometry on the multistatic radar performance. With the relationship between the multistatic ambiguity function (AF) and the multistatie Cram6r-Rao lower bound (CRLB), the problem of calculating the multistatic AF and the multistatic CRLB as a performance metric for multistatic radar system is studied. Exactly, based on the proper selection of the system parameters, the multistatic radar performance can be significantly improved. The simulation results illustrate that the multistatic AF and the multistatic CRLB can serve as guidelines for future multistatic fusion rule development and multistatic radars deployment.
出处 《Journal of Central South University》 SCIE EI CAS 2014年第8期3092-3097,共6页 中南大学学报(英文版)
基金 Project(61271441)supported by the National Natural Science Foundation of China Project(NCET-10-0895)supported by the Program for New Century Excellent Talents in Universities of China
关键词 多基地雷达系统 模糊函数 下界 分析基 CRLB 雷达性能 选择策略 性能度量 ambiguity function (AF) Cram6r-Rao lower bound (CRLB) multistatic radar
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参考文献18

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