一种新的雷达辐射源识别算法

针对雷达信号环境,运用综合分析的方法,提出了一种新的基于模糊综合评判的雷达辐射源识别算法。该算法通过构造模糊评判矩阵并进行合成运算来计算表示辐射源相关程度的模糊集,然后按照最大隶属度原则进行判决,同时给出了相应的多义性处理方法。最后通过仿真将它与经典的统计模式识别方法进行了比较。仿真结果表明,所提出的识别方法性能明显优于统计模式识别方法,用于雷达辐射源识别是有效的。

A Novel Radar Emitter Recognition Algorithm

Fuzzy comprehensive evaluation can give an estimate to things affected by multi-|factor as a whole. Aimed at radar practical reconnaissance environment, this paper presents a new radar emitter recognition algorithm based on fuzzy comprehensive evaluation by using the synthetic analysis method in modern mathematics. This recognition algorithm calculates the fuzzy set, which denotes the degree of similarity of two emitters by constructing fuzzy evaluation matrix and resultant operation. Then, maximum membership function criterion is selected for decision-|making. Moreover, multivocal processing is given. At last, the algorithm is compared with classical statistical pattern recognition through simulation. The simulation results show that the performance of fuzzy comprehensive evaluation algorithm is much better than that of the classical method. The new approach is approved to be effective and feasible to radar emitter recognition.