Multistatic radar analysis based on ambiguity function and Cramér-Rao lower bounds
来源期刊：中南大学学报(英文版)2014年第8期
论文作者：LEI Peng-zheng(雷鹏正) HUANG Xiao-tao(黄晓涛)
文章页码：3092 - 3097
Key words：ambiguity function (AF); Cramér-Rao lower bound (CRLB); multistatic radar
Abstract: 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.
LEI Peng-zheng(雷鹏正), HUANG Xiao-tao(黄晓涛)
(School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
Abstract: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.
Key words:ambiguity function (AF); Cramér-Rao lower bound (CRLB); multistatic radar
