摘要
提出了一种基于排序时频特性的雷达脉内调制信号识别算法。该算法可分为三步:首先,通过检验信号时频曲线的互易回归特性,识别出线性调频信号;然后,通过检验信号时频RANKIT图的正态性,识别出常规信号;最后,检验信号平方后时频RANKIT图的正态性,用以区分二相编码与四相编码信号。仿真结果表明,该算法无需接收信号的任何先验知识,在较低信噪比条件下可实现对常用雷达脉内调制方式的有效识别。
An intrapulse modulation recognition method is proposed based on the properties of the ordered time frequency curve（TFC）. The algorithm is divided into three steps： firstly, linear frequency modulation（LFM） signals can be recognized by testing of the character of the alternative regression for the TFC; and then, the nor- real signals can be identified by the normality test of the RANKIT of others modulation signals; thirdly, the bi- nary phase shift keying（BPSK） signals and quadrate phase shift keying（QPSK） signals can be classified by the normality test of the RANKIT of the squared signals. Simulation results show that the proposed method is effec- tive to recognize the common intrapulse modulation type signals at a lower signal - to - noise ratio（SNR） without a priori knowledge.
出处
《电讯技术》
北大核心
2012年第7期1096-1101,共6页
Telecommunication Engineering
基金
江苏省自然科学基金资助项目(BK2011837)~~
关键词
雷达信号
脉内调制
时频特性
线性回归
radar signal
intrapulse modulation
time - frequency curve
linear regression
