摘要
针对常规杂波图构建易受异常值、运动目标污染且同时难以检测出低速目标及检测门限设置不直观等问题,提出一种改进的基于背景自适应(MCA)的杂波图算法。MCA杂波图对每个波位单独构建杂波图,并根据背景自适应选择遗忘因子,同时利用慢时间维均值进行杂波图均衡化。为有效检测出低速目标,提出跳帧t-n型MCA杂波图。实验结果表明,t-n型MCA杂波图能有效去除杂波、异常值等的影响,显著提高运动目标检测概率。
In view of the problems that the normal clutter map is easily polluted by abnormal values and moving targets,it is difficult to detect low-speed targets,and the detection threshold is not visually set,a modified context-based adaptive(MCA)clutter-map algorithm is proposed.The MCA clutter map builds the clutter map of every beam,then chooses the forgetting factor adaptively according to the context,and normalizes the clutter map with the slow-time mean.In addition,the t-n MCA clutter map is presented to detect the low-speed targets effectively.The simulation results show that the t-n MCA clutter map is effective in eliminating clutter and the influence of abnormal values to greatly improve the detection probability of moving targets.
作者
王志刚
王静娇
翟栋梁
洪畅
WANG Zhi-gang;WANG Jing-jiao;ZHAI Dong-liang;HONG Chang(No.8 Research Academy of CSSC, Nanjing 211153)
出处
《雷达与对抗》
2020年第2期26-30,共5页
Radar & ECM
关键词
雷达
杂波图
自适应
检测
radar
clutter map
adaptive
detection
