基于模糊函数相像系数的雷达辐射源信号分选

针对当前的雷达辐射源信号分选方法存在准确率不高和对噪声敏感的问题，提出一种新的分选算法，对接收到的信号求取其模糊函数，并将其简化为二维特征图，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，将求取的相像系数作为分选的特征参数.由于不同信号的模糊函数区别较大且受噪声的影响小，所以转换后的相像系数可分性强、稳定度高，大量的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%.

Radar emitter signal sorting based on resemblance coefficient of ambiguity function

Sorting rate of current methods is not high and they are sensitive to the signal noise ratio (SNR). To solve these problems, a novel sorting algorithm for radar emitter is proposed. The ambiguity function 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 are used as the sorting parameters. For ambiguity function 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 lowest sorting rate is 90% at SNR=10 dB.