摘要
为了解决传统方法不能有效分选高密度复杂雷达信号,以及现有聚类方法达不到实时性要求的问题,提出一种利用雷达脉冲信号特征参数,基于改进的模糊聚类的雷达信号分选新方法。在改进的算法中,提出了距离加权系数的概念,依据信息熵使各参数的距离加权系数的确定更加合理化。采用追踪法计算等价模糊矩阵,并提取聚类后的脉冲序号,更具有实际意义。该方法同时提高了系统的实时性。仿真结果验证了算法的有效性。
To solve the problem that high-density and complex radar-signals can＇t he sorted by the traditional methods, and real-time requirement can＇t met by the existing clustering methods, a new method of sorting radar-signals based on modified fuzzy clustering using radar-pulse parameters was proposed. In the modified algorithm, the concept of distance weighted coefficient was brought forward, it is more reasonable to determine the distance weighted coefficients of the parameters based on information entropy. The equivalent fuzzy matrix was calculated with the tracking method and the serial number of the pulses was obtained, these have greater practical significance. At the same time, this method validates the real-time performance of the system. The simulation results show the effectiveness of the algorithm.
出处
《弹箭与制导学报》
CSCD
北大核心
2009年第5期278-282,共5页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
模糊聚类
雷达信号分选
信息熵
加权系数
追踪法
fuzzy clustering
sorting of radar-signals
information entropy
weighted coefficients
tracking method
