论文部分内容阅读
利用LOG-CFAR(对数—恒虚警率)电路抑制海杂波,即便散射值不固定,也可知道杂波的存在.进一步抑制这种杂波的方法之一,是利用图象识别的方法.该方法设1×m=N个识别单元,根据该单元上的信号分布来识别目标与杂波。本文就这种方法,在以单元上连续出现信号为目标的前提下,进行了工作原理分析,从理论上求出了杂波抑制率、阈值改善量以及对应雷达常数的条件等。其次,就海杂波的实际视频信号应用图象识别的方法,与理论特性进行了比较探讨。
Suppression of sea clutter using the LOG-CFAR (Log-CFAR) circuit means that clutter is known even if the scattering value is not fixed. One of the ways to further suppress this clutter is to use image recognition The method sets 1 × m = N identification units and identifies the target and clutter according to the signal distribution on the unit. In this paper, the working principle is analyzed under the premise of continuous signals on the unit, and the clutter rejection rate, threshold improvement and corresponding radar constant conditions are theoretically obtained. Secondly, the method of image recognition is applied to the actual video signal of sea clutter, which is compared with the theoretical characteristics.