一种新的跳频信号参数估计方法

A New Method of Frequency Hopping Signal Parameter Estimation

跳频信号(MFSK)已应用于多种雷达中,针对此类信号的参数估计问题提出了一种基于重排小波尺度谱(Rearrangement Wavelet Scale Spectrum,RWSS)和图像处理联合估计的方法。该方法首先通过积累RWSS的时间估计信号的各个频点及编码个数,利用各频点的范围剪切时频图像并进行整形;然后利用图像处理的闭运算将断裂的时频脊线连接起来;最后对时频脊线进行再次修正并搜索最短连通区域的长度估计跳周期。仿真表明,该方法能在低信噪比下精确估计信号参数。

Frequency hopping signal（ MFSK） is applied in many kinds of radars. Aiming at parameter estimation problem of this kind of signal,a method is put forward based on the rearrangement wavelet scale spectrum（ RWSS） and image processing methods. Firstly,the time of RWSS is accumulated to estimate each frequency point and code number of MFSK,and the scope of each frequency point is used to shear time-frequency image. Then,the closing operation of image processing algorithm is used to connect the discontinuous time-frequency ridge line. Finally,the frequency ridge line is modified again and the shortest length of connectedness is searched as the jump period of MFSK. Simulation shows that this method can precisely estimate parameters of signal in low SNR.