摘要
针对弹道中段多目标回波信号分离的问题,提出了基于联合时频滤波的多目标信号分离算法。该算法先对多目标回波信号进行自相关处理和峰值提取,得到目标信号的周期,接着用该周期对回波信号的Gabor变换和PWVD变换结果进行分段,然后将各段时频图相乘,获得新的时频支撑域,最后用新的时频支撑域对回波信号进行时频滤波,克服了交叉项的干扰和时频聚集性不高的缺点,分离出了不同周期的目标信号。仿真结果证明了该方法的有效性和先进性。
In view of the problem of multi targets echo signal separation in the ballistic midcourse,the separation algorithm is put forward. Firstly,the signal period is got by the autocorrelation and peak extraction to the multi targets enho signal. Then using the period to cut the signal＇s Gabor and PWVD transform results into segments. Then the new time-frequency support region is got by the multiplication to the segments. Lastly,the differnet signals can be separated by filtering to the echo signal though the new time-frequency support domain. It overcomes the interference of the cross terms and the shortcoming of low time-frequency concentration. Simulation results validate the effectiveness and advance of the proposed algorithm.
出处
《火力与指挥控制》
CSCD
北大核心
2015年第7期12-15,共4页
Fire Control & Command Control
基金
国家自然科学基金资助项目(61372166)
关键词
微多普勒
联合时频滤波
信号分离
micro-doppler
joint time-frequency filtering
signal separation
作者简介
张栋（1990-），男，河北辛集人，硕士。研究方向：目标微多普勒信息提取研究。
