基于信息熵估计的生物雷达弱周期信号识别技术研究  

Entropy-Based Algorithm for Weak Periodic Signal Recognition Using Bio-radar

作　　者：薛慧君[1] 张杨[1] 吕昊[1] 焦腾[1] 于霄[1] 王健琪[1] 

机构地区：[1]第四军医大学生物医学工程学院,陕西西安710032

出　　处：《中国医疗设备》2017年第1期22-25,共4页China Medical Devices

基　　金：国家科技支撑计划课题(2014BAK12B02);国家自然科学基金(61327805)

摘　　要：超宽带雷达近程探测人体目标多应用于特殊场合。使用单通道超宽带生物雷达穿墙探测多个静态人体目标,由于电磁波传输过程中能量衰减,目标之间和雷达天线相互位置的影响,距离雷达天线较近的人体目标能够被准确识别,而距离雷达天线较远的人体目标很难被准确识别。本文提出信息熵识别算法,通过计算不同距离点信号的频率复杂度,来确定被探测人体目标距离。实测数据结果显示本文所提出的方法有效提高多目标识别的准确率,进而提高了生物雷达的探测效率。Ultra Wide Band（UWB）radar technologies for short-range detecting human targets are widely used in some special situations. Through wall detecting multi-stationary human targets via UWB radar, it is shown that the target located nearby the radar antennas is very often visible. Because of the attenuation of electromagnetic wave energy and mutual positions of the targets and radar antennas, the other targets far from radar antennas could be detected with less reliability. A novel method based on entropy is proposed, calculating the signal frequency complexity of different distances to confirm the range of detecting targets. Experimental data demonstrate that the proposed algorithm can improve the accuracy of multi-target detection effectively, and make further effort to improve the bio-radar detection efficiency.

关 键 词：超宽带生物雷达 多目标 信息熵 信号识别 生命探测 

分 类 号：TN957.51[电子电信—信号与信息处理]