摘要
在弹道导弹防御目标识别问题的研究中,中段形成的群目标严重影响导弹防御系统的作战效能。为了解决弹道中段群目标分布密集、相互干扰而难以识别的问题,提出了一种采用Gabor-GSWD变换的群目标信号分离与重构方法。在构建群目标回波模型的基础上,利用平均幅度差函数法(AMDF)处理群目标回波信号,得到子目标的微动周期。并以子目标的微动周期为观测时间间隔,对目标进行多次观测,经累加处理后,利用Gabor变换得到该子目标的时频支撑域,并利用得到的时频支撑域对原始信号的广义S变换(GSWD)进行滤波,从而分离出了子目标的时频信息。最后,利用逆S变换还原出子目标的信号分量,从而实现了子目标回波信号的重构。仿真结果证明了改进方法是有效和可行的。
During the study of target identification in ballistic missile defense, the group-target formed in midcourse seriously impacts on the operation effectiveness. To solve the problems of difficult identification due to intensive distribution and mutual interference in group-target, an algorithm of group-target signal separation and reconstruction was proposed based on Gabor-GSWD. On the basis of building the model of group-target echo, the micro- motion period of sub-target was obtained by processing group-target echo with AMDF. The time-frequency support region of the sub-target was obtained after transforming the echo added by observing for several times in a period in- terval in Gabor. Then the time-frequency information was separated by filtering the GSWD of original signal with the time-frequency support region. Finally, the signal component was restored by the adverse S transform. Thus the re- construction of the sub-target echo signal was achieved. Simulation results validate the effectiveness and practicability of the proposed algorithm.
出处
《计算机仿真》
CSCD
北大核心
2016年第1期42-46,共5页
Computer Simulation
基金
国家自然科学基金资助项目(61372166)
陕西省自然科学基础研究计划资助项目(2014JM8308)
关键词
群目标
微动
分离与重构中国
Group-target
Micro-motion
Separation and reconstruction
