摘要
为提高多传感器分布式恒虚警(CFAR)检测的性能,基于模糊逻辑和自动删除单元平均(ACCA)算法提出一种新的多传感器分布式CFAR检测系统(分布式模糊ACCA).系统中每个模糊ACCA-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,然后传给融合中心,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ACCA-CFAR不但在均匀背景下具有较低的检测损失,而且在非均匀背景下具有更好的鲁棒性;同时模糊代数积融合比二元与融合和二元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。
In order to improve the performance of multiple-sensor distributed constant false alarm rate（CFAR）detection,a new distributed fuzzy ACCA-CFAR detection scheme based on fuzzy logic and automatic censoring cell averaging（ACCA）algorithm was proposed.In this scheme,each fuzzy ACCA-CFAR detector computes the membership function value mapping to the false alarm space from the samples of the reference cells and transmits it to the fusion center.The values are combined to derive a global decision with fuzzy fusion rules.The simulated results show that the distributed fuzzy ACCA-CFAR can provide low CFAR loss in homogeneous background and better robustness in the presence of interfering targets and clutter edge situation;furthermore fuzzy algebraic product operator provides better detection performance than binary ＇or＇ fusion and binary ＇and＇ fusion.This scheme can be applied advantageously to early warning radar system.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2010年第9期1274-1278,共5页
Acta Armamentarii
基金
国家自然科学基金资助项目(60802072)
关键词
雷达工程
分布式恒虚警
自动删除单元平均
模糊逻辑
隶属函数
radar engineering
distributed constant false alarm rate
automatic censoring cell averaging
fuzzy logic
membership function
