| 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RA
NKIT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。 |
| 关键词: 雷达信号 脉内调制 时频特性 线性回归 |
| DOI： |
|
| 基金项目:江苏省自然科学基金资助项目（BK2011837） |
|
| Intrapulse modulation recognition of radar signals based on ordered time-frequency curve |
| YU Bao-ming,HU Guo-bing |
| () |
| Abstract: |
| An intrapulse modulation recognition method is proposed based on the properties
of the ordered time frequency curve(TFC). The algorithm is divided into three st
eps: firstly, linear frequency modulation(LFM) signals can be recognized by test
ing of the character of the alternative regression for the TFC; and then, the no
rmal signals can be identified by the normality test of the RANKIT of others mod
ulation signals; thirdly, the binary phase shift keying(BPSK) signals and quadra
te phase shift keying(QPSK) signals can be classified by the normality test of t
he RANKIT of the squared signals. Simulation results show that the proposed meth
od is effective to recognize the common intrapulse modulation type signals at a
lower signal-to-noise ratio(SNR) without a priori knowledge. |
| Key words: radar signal intrapulse modulation time-frequency curv
e linear regression |
