摘要
从复杂度、可分性和正确识别率对噪声的灵敏性三个方面建立雷达辐射源信号特征评价指标体系,建立运用基于实数编码加速遗传算法的投影寻踪模型获取各指标的权重,基于模糊物元分析法计算与标准模糊物元之间的欧氏贴近度,实现对信号特征综合评价的一般模型。通过实验仿真分析,此模型兼顾客观实际和主观偏好,可以较为全面和准确地评价信号特征的性能,从而为弥补传统五参数的不足添加新的特征提供理论依据。
This paper established a radar emitter characteristics evaluation index system in consideration of complexity, separability and sensitivity about the correct recognition rate to the noise. It obtained the weight matrix of indexes by PPC technique based on RAGA. Based on fuzzy matter-element analysis, calculated the Euclid approach degree to standard fuzzy matter-element. By simulation and analysis, this model takes into account both the objective reality and subjective preferences, and can evaluate the performance of characteristics parameters roundly and accurately, provides a theoretical basis for compensating for the lack of the traditional five-parameters and adding new characteristics parameters.
出处
《计算机应用研究》
CSCD
北大核心
2012年第8期2912-2914,2947,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(60971103)
关键词
投影寻踪
多指标评价模型
欧氏贴近度
雷达辐射源信号
projection pursuit
multi-objective evaluating model
Euchd approach degree
radar emitter signal