针对这一问题,提出基于时频域特征融合的IR-UWB穿墙雷达人体行为识别算法。首先, 通过杂波抑制及距离补偿方法获取高信噪比的人体行为距离像。其次, 基于距离像提取目标时域特征, 与频域特征进行融合, 构建数据集。最后, 基于支持向量机(support...
Finally, human behavior is identified based on support vector machine (SVM) algorithm Experimental results show that the proposed algorithm can achieve 95% accuracy for human behavior recognition with IR-UWB through wall radar.杨德贵许道峰Systems Engineering & Electronics...