基于像素向量消除的穿墙雷达杂波抑制算法

Clutter suppression algorithm based on pixel vector elimination in through-the-wall radar

常见的回波域算法在处理穿墙成像中的杂波抑制问题时,杂波滤除不够彻底,致使信杂比和目标准确性较低,严重影响目标检测与识别等后续处理。为解决这一问题,从图像域中寻找杂波像素和目标像素的区分特征,以离散系数实现对像素向量离散程度的定量化,以图像强度和剩余像素均值构建杂波抑制的评价体系,通过主杂波抑制和目标聚焦依次消除离散系数较大的杂波像素向量和背景像素向量,从而得到最终成像结果。仿真结果表明,所提算法具有良好的有效性和鲁棒性,能显著提升信杂比,使目标成像清晰准确。

When the common echo domain algorithms are used to suppress clutter in through-the-wall imaging, the clutter filtering is not thorough enough, resulting in the low signal to clutter ratio and target accuracy, which seriously affects the subsequent processing of target detection and recognition. To solve this problem, the distinguishing features of clutter pixels and target pixels are found in the image domain, and their discrete degree is quantified by coefficient of variation. The evaluation system of clutter suppression is constructed by image intensity and residual pixel mean. The clutter and the background pixel vectors with larger coefficient of variation are eliminated successively by main clutter suppression and target focusing, so as to obtain the final imaging result. Simulation results show that the proposed algorithm has good effectiveness and robustness, can significantly enhance the signal to clutter ratio, and make target imaging clear and accurate.