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提出了一种将 D- S证据理论与模糊理论组合应用的方法用于雷达信号的识别 ,通过对信号的积累和对信任度 (模糊隶属度 )的重新分配 ,有效地解决了雷达信号的不确定性问题以及如何利用信号在时间上的冗余信息问题 ,提高了信号的正确识别率。并用仿真实验和正确识别率的统计结果验证了这种方法的适用性。
A method combining the application of D-S evidence theory and fuzzy theory is proposed for the radar signal identification. By the signal accumulation and the re-distribution of trust (fuzzy membership), the radar signal is effectively solved. Deterministic problems and how to make use of the redundant information of the signal in time improve the correct recognition rate of the signal. The applicability of this method is verified by the statistical results of simulation experiments and correct recognition rate.