穿墙雷达回波成分复杂,往往同时存在着目标信号、噪声、杂波、RFI干扰等各种成分。针对回波中目标信号与其他信号的分布特点,提出一种利用时域二维数据进行幅度加权的目标信号增强方法并给出两种具体实现算法。该方法基于十字型滑动窗口处理思想,利用每组滑窗对应的快、慢时间域二维数据计算加权系数,并对快、慢时间域交叠处的回波数据进行幅度加权处理,通过对全部回波数据的滑窗加权遍历,提高目标信噪比和信杂比。理论分析和仿真结果表明,当快时间域和慢时间域上的回波信号与杂波、噪声功率比之和高于OdB时,所提方法仅需一到两次加权处理即可有效增强目标信号。将新方法应用于穿墙雷达实测数据中,有效抑制了近距离处耦合干扰剩余的不利影响,增强了目标信号幅度,有利于后续目标检测及特征提取。
There is not only target echo but also noise, clutter, and radio frequency interference (RFI) within through the wall radar echoes. A novel target echo enhancement method with amplitude weighting strategy along two-dimensional time domain data is proposed and two realization algorithms are carried out. Based on cross-shape sliding window process- ing, the method utilizes both fast and slow time domain echo within the sliding window to calculate weighted coefficients, and adjusts amplitude of overlap data between fast and slow time domain in order to improve the signal to noise ratio (SNR) and the signal to clutter ratio (SCR). Theoretical analysis and simulation results indicate that the method can enhance tar- get echo effectively with just once or twice weighting processing when the sum of between echo signal to clutter and noise ra- tio (SCNR) in fast time domain and that in slow time domain is above 0dB. Experimental results indicate that the method can decrease residual coupling, enhance amplitude of target echo, and be helpful to target detection and signature extraction.