中文摘要：

研究Pearson分布杂波背景下基于模糊积累的距离扩展目标检测方法性能。推导出将观测值映射到虚警空间的隶属函数,分析了模糊代数积、模糊代数和两种积累方法的性能,并与二进制积累方法进行了比较。仿真结果表明Pd=0.5时模糊代数和积累、模糊代数积积累较二进制积累方法可分别获得广义信杂比约10dB和6dB的性能改善。

英文摘要：

The performance of the detection scheme of range-extended target was studied based on fuzzy integration under Pearson distribution clutter.The membership function which maps the observation set to a false alarm space corresponding to the false alarm rate was deduced,the performances of the fuzzy algebraic sum integrator and the fuzzy algebraic product integrator were analyzed and compared with the binary integrator.The simulation results show that the fuzzy algebraic sum integrator and the fuzzy algebraic product integrator render about 10dB and 6dB improvement of GSNR over the binary integrator respectively when the probability of detection is equal to 0.5.