基于D-S证据理论的机载雷达模糊识别方法

针对机载雷达信号的复杂性和模糊性等特点,提出一种D-S(登普斯特-谢弗)证据理论和模糊理论组合应用的方法用于对机载雷达的识别。通过对信号的积累和对信任度(模糊隶属度)的重新分配,有效地解决了机载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。仿真实验和正确识别率的统计结果验证了这种方法十分有效。

Fuzzy Recognition of Airborne Radar Based on D-S Evidence Theory

Facing the complexity and fuzziness of the airborne radar signals, this paper presents a method which applies the combination of Dempster-Shafer evidence theory and fuzzy theory in recognizing airborne radar signals. The method solves the problem of indeterminacy and how to utilize the temporal redundancy of radar signals effectively by means of accumulating and redistributing the subordinate function, and improves the exactness of signals recognition. The simulation and its statistic data show that the method is very effective.