Abstract：Objective To study the effective method for detecting multiple human targets under the shadowing condition. Methods
A wavelet entropy recognition algorithm was proposed. The distribution complexity of energy at different scales after wavelet
decomposition was analyzed, so that human targets and clutter in the radar detection region could be distinguished. Results The
measured data showed that the traditional method as adaptive spectral line enhancement and energy accumulation could only detect
the target who was near to radar antenna, and the wavelet entropy could not only detect the target next to radar but also identify the
target who was far from radar antenna. Conclusion The wavelet entropy algorithm can effectively improve the recognition accuracy
of multiple human targets.
薛慧君，刘淼，祁富贵，王鹏飞，史刚，张自启，王健琪. 遮蔽情况下多人体目标的探测和识别研究[J]. 中国医疗设备, 2018, 33(10): 32-35.
XUE Huijun, LIU Miao, QI Fugui, WANG Pengfei, SHI Gang, ZHANG Ziqi, WANG Jianqi. Detection and Identification for Multiple Human Targets Under Shadowing Condition. China Medical Devices, 2018, 33(10): 32-35.
