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Multistatic radar analysis based on ambiguity function and Cramér-Rao lower bounds
作者姓名:雷鹏正  黄晓涛
基金项目: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
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 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.

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
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