基于单基地生命探测雷达的多目标识别方法研究  

Research of multi-target identification method using mono-static life detection radar

作　　者：张杨 张洋 梁福来 李钊 吕昊 薛慧君 张华 王健琪 ZHANG Yang;ZHANG Yang;LIANG Fu-lai;LI Zhao;LYU Hao;XUE Hui-jun;ZHANG Hua;WANG Jian-qi(School of Biomedical Engineering,the Fourth Military Medical University,Xi＇an 710032,China;Southern Command Center for Disease Control and Prevention,Guangzhou 510507,China)

机构地区：[1]空军军医大学军事生物医学工程学系,西安710032 [2]南部战区疾病预防控制中心,广州510507

出　　处：《医疗卫生装备》2018年第11期1-4,9,共5页Chinese Medical Equipment Journal

基　　金：国家重点研发计划课题(2018YFC0810201);国家自然科学基金课题(61327805)

摘　　要：目的:解决单基地生命探测雷达在多目标探测识别时容易漏判的问题,以提高多目标识别准确率。方法:根据同一人体目标呼吸信号具有自身相关性的特点,采用以计算皮尔逊相关系数为主的信号处理和识别方法,对实验室条件下采集的多组多目标雷达回波信号进行处理和目标识别。结果:实验结果说明相比目前常用的基于能量谱的多目标探测识别算法,该方法降低了多目标的漏判率,提高了识别准确率。结论:预处理结合相关系数的多目标探测识别方法可以提高单基地雷达多目标一维距离向目标识别准确率,并可望为后续基于多基地雷达平台多目标二维定位算法的性能提升做出贡献。Objective To improve the accuracy rate of identification and solve the problem of missing alarm when detecting multi-target using mono-static life detection radar. Methods Considerations were taken on the self-correlation between the respiratory signals of one person, and then a signal processing and recognition method was put forward based on calculating Pearson correlation coefficient. Some multi-target radar signals sampled under laboratory conditions were processed and identified with the above method. Results The method had a lower multi-target misjudgement rate while higher accuracy rate when compared with the conventional multi-target detection method based on energy spectrum. Conclusion The accuracy rate of multi-targets identification can be improved by the method combining preprocessing and correlation coefficient. Also it will contribute to the performance progress of multi-targets 2-D localization by using multi-static radar system.

关 键 词：超宽谱 单基地 生命探测雷达 多目标 相关系数 

分 类 号：R318[医药卫生—生物医学工程] TN957.51[医药卫生—基础医学]