多基地雷达自适应CFAR检测融合算法

文章针对多基地雷达的目标RCS在入射角分布起伏较大的问题，提出了基于目标入射角RCS分布未知的检测融合方法。由于目标RCS在入射电波观测角的起伏较大且未知，导致局部雷达站接收目标回波SNR（信噪比）无法确定，无法应用传统的贝叶斯方法获得最佳的融合检测性能。该方法是一种基于无信噪比信息的检测融合算法，通过传输其他雷达站接收信号的检验统计量来完成全局的CFAR检测。并且根据该方法设计了一种自适应门限的检测方法，其中本地雷达站的检测门限是基于其他雷达站接收信号的检验统计量生成。仿真结果表明，该检验方法的综合检测性能接近信噪比已知的融合检测性能。 

An Adaptive Fusion Algorithm of CFAR Detection for Multisite Radar

Focusing on the target RCS fluctuating sharply in incident angle, this paper proposes a CFAR Detection Algorithm for Multisite Radar with unknown target SNR Information. Because target’s RCS is fluctuating and unknown sharp in incident angle, we cannot apply conservation Bayes fusion detection method directly because of unknown SNR of any radars’ receive signal. This method is a fusion way which finish the total CFAR detection by the test statistic of each radar’s receiving signal without SNR information. Then we design a detection method with adaptive threshold that is gained by other radar’s receiving signal test statistic. Simulation results illustrate that a detection performance closing the known SNR information is obtained by the proposed algorithm.