中文摘要：

基于模糊逻辑和无偏最小方差估计（UMVE）算法提出一种新的分布式CFAR系统（分布式模糊UMVE），系统中每个UMVE-CFAR检测器根据参考单元计算出映射到虚警空间的隶属函数值，并传给融合中心，融合中心根据这些值采用模糊融合准则进行判决．仿真结果表明，分布式模糊UMVE在均匀背景和非均匀背景下具有比分布式模糊OS更好的检测性能，同时，模糊算术积融合比二元“与”融合和“或”融合提供更好的检测性能。该研究成果可应用于警戒雷达系统。

英文摘要：

A new type of distributed CFAR scheme （distributed fuzzy UMVE） based on fuzzy logic and Unbiased Minimum- Variance Estimation （UMVE） algorithm was proposed. In this scheme, each UMVE-CFAR detector computed the membership function value mapping to the false alarm space from the samples of reference cells, and transmitted it to the fusion center. These values were combined to make a decision according to fuzzy fusion rules. Simulation results show that the detection performance of the distributed fuzzy UMVE-CFAR is better than that of the distributed fuzzy OS-CFAR both in homogenous environments and in nonhomogenous environments, and fuzzy algebraic product fusion provides better detection performance than binary ＇or＇ fusion and binary ＇and＇ fusion. This scheme can be used in earlywaming radar system.