基于双谱二维特征相像系数的雷达信号分选

Sorting radar signal based on the resemblance coefficient of bispectrum two dimensions characteristic

针对现有方法分选准确率不高和对噪声敏感的问题,应用双谱二维特征相像系数实现了低信噪比下未知复杂雷达信号的高准确率分选。对接收到的信号首先提取双谱幅度谱,并将其简化为二维特征,然后构造一矩形脉冲序列与一三角形脉冲序列,分别求二维特征与两个脉冲序列的相像系数,最后将求取的相像系数作为分选的特征参数。由于不同信号的双谱区别大且对高斯噪声不敏感,因此,转换后的相像系数可分性强、稳定度高,仿真验证了新方法的优越性,在信噪比为10 dB时,分选准确率最低为90%。

Common method have low sorting rates and is sensitive to the signal noise ratio （SNR）, resemblance coefficient of bispectrum two dimensions characteristic is applied to sort unknown complicated radar signal, so that high sorting rate can be got. The bispectrum of received signal is extracted, and it is predigested to two dimensions characteristic. A rectangle pulse sequence and triangle pulse sequence are constructed, then the resemblance coefficient of two dimensions characteristic with rectangle pulse sequence and triangle pulse sequence are gained, and they are used as the sorting parameters. For the bispectrum of different signal is distinguishing and it is not sensitive to SNR, the resemblance coefficient is divisible and steady, the advantage of this new method is validated by simulation results, and the sorting rate is not less than 90% at SNR of 10 dB.