摘要
复杂体制雷达信号的全脉冲参数变化类型多样、参数交叠严重,使得利用全脉冲参数分选方法的正确率严重下降,但是其信号脉内特征参数相对稳定。在复杂体制雷达信号预分选的过程中,针对增批现象和正确率不高的问题,提出一种通过提取信号的脉内特征参数相像系数,联合较为稳定的脉间参数,利用改进的支持向量聚类算法,对复杂体制雷达信号进行预分选的方法。仿真结果表明,在对复杂体制雷达信号进行预分选时,所提方法有效地解决了信号增批问题,并提高了分选正确率。
The overall pulse parameters of complex system radar signals are varied and overlap seriously. The accuracy rate of the method using overall pulse parameter sorting is seriously decreased, but the intra pulse characteristic parameters are relatively stable. A method for pre-sorting radar signals in complex systems was proposed by extracting the phase coefficient of the intra-pulse characteristic parameters of the signal, combining the more stable inter-pulse parameters, and using the improved support vector clustering algorithm. Simulation results show that in the pre-sorting of complex system radar signals, the problem of increasing-batch can be solved effectively and the accuracy of sortingcan be improved.
作者
袁泽恒
田润澜
王晓峰
YUAN Zeheng;TIAN Runlan;WANG Xiaofeng(School of Aviation Operations and Services,Aviation University of Air Force,Changchun 130022,China)
出处
《电信科学》
2018年第9期97-104,共8页
Telecommunications Science
关键词
复杂体制雷达
信号预分选
脉内特征参数
改进支持向量聚类
complex system radar
signal pre-sorting
intra pulse characteristic parameter
improved support vector clustering