摘要
信号识别是侦察系统信号处理的目的,是整个雷达对抗信号处理中关键性的一个环节。为解决雷达信号的智能识别问题,研究了将粗糙集和模糊模式识别法紧密结合的雷达信号识别模型,即先用粗糙集属性重要性定义了雷达信号各特征参数的识别权重,再结合模糊模式识别的方法对雷达信号进行匹配识别。该方法既充分运用了原始数据又体现出雷达信号自身的特点,通过实例验证并分析了此法的实用性和有效性。
The purpose of reconnaissance system＇ s information processing is signal recognition, which is also a key step in whole process of radar countermeasure information processing. In order to solve the problem of radar signal＇ s intelligent recognition, a radar signal recognition method which combines rough set closely with fuzzy pattern recognition is studied. Firstly, the recognition weight of each feature parameters in radar signal is defined with attribute importance of rough set theory, then radar signals are matching recognised in combination with the method of fuzzy pattern recognition. This method makes full use of the original data as welt as embodies the signal＇ s characteristic itself. The simulation experiment and its results validate and show that the method is applicable and effective.
出处
《计算机应用与软件》
CSCD
2009年第1期25-27,共3页
Computer Applications and Software
基金
国家863-707课题(2005AA775020)。
关键词
粗糙集
权值
特征参数
隶属度
Rough set Weight Feature parameter Grade of membership
