医疗卫生装备2017，Vol.38Issue(7)：1-5,5.DOI:10.7687/j.issn1003-8868.2017.07.001
基于像素分割算法的超宽谱生物雷达目标识别定位技术研究
Research on targets distinguishing and locating technique via UWB bioradar based on pixel segmentation algorithm
摘要
Abstract
Objective To explore the feasibility and applicable conditions of one-dimensional distance distinction combining pixel segmentation algorithm in multi-target recognition and identification of multi-channel ultra wide-band bioradar.Methods The signals the radar received were decomposed,reconstructed and filtered,and one-dimensional distance distinction algorithm was applied to achieving multi-target distance discrimination,then multi-target two-dimensional positioning was achieved based on the principle of angle determination applying pixel segmentation algorithm.Finally,a target positioning experiment was executed by collecting 10 volunteers using the method above.Results The experiment indicated that pixel segmentation algorithm gained advantages when used for positioning a single target while disadvantages for multi target.Concluslon It's proved that it's feasible to locate three or less targets with one-dimensional distance distinction as well as two-dimensional locating based on pixel segmentation algorithm.Positioning accuracies are different in case of numbers of targets.关键词
超宽谱/生物雷达/一维距离区分/像素分割Key words
UWB/bioradar/one-dimensional distance distinction/pixel segmentation分类
医药卫生引用本文复制引用
马洋洋,于霄,吕昊,李钊,梁福来,薛惠君,张华,张杨..基于像素分割算法的超宽谱生物雷达目标识别定位技术研究[J].医疗卫生装备,2017,38(7):1-5,5.基金项目
国家科技支撑计划(2014BAK12B02) （2014BAK12B02）
国家自然科学基金(61327805) （61327805）
第四军医大学军事医学人才资助课题 （）
