摘要
针对机载预警雷达当杂波背景中出现多个目标或者强干扰时,一般的CA-CFAR检测器和OS-CFAR检测器的检测性能严重下降问题,提出了一种二维情况下的自适应单元平均恒虚警检测方法(2D-ACA-CFAR).它是通过把超过删除阈值的强干扰从采样集合中删除掉,然后进行CA-CFAR检测.仿真结果表明这种方法在多干扰、强干扰的情况下具有良好的检测性能.
The detective performance of routine CA-CFAR and OS-CFAR detector declines badly when the AEW radar operating in the circumstances of multi-object and strong interference occurred in the clutter background. A method of two-dimensional adaptive cell average CFAR （2D-ACA-CFAR） was proposed. By this method, the strong interference beyond delete-threshold was eliminated, and then the CA-CFAR detection was carried out. The result of simulation shows that it has good detective performance under the circumstances of multi-interference and strong interference.
出处
《空军雷达学院学报》
2006年第1期18-20,24,共4页
Journal of Air Force Radar Academy
关键词
恒虚警率检测
自适应处理
多杂波环境
constant false alarm rate （CFAR）
adaptive processing
multi-interference circumstance
