Research on targets distinguishing and locating technique via UWB bioradar based on pixel segmentation algorithm
10.7687/j.issn1003-8868.2017.07.001
- VernacularTitle: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
- Author:
yang Yang MA
1
;
Xiao YU
;
Hao LYU
;
Zhao LI
;
lai Fu LIANG
;
jun Hui XUE
;
Hua ZHANG
;
Yang ZHANG
Author Information
1. 第四军医大学生物医学工程学院
- Keywords:
UWB;
bioradar;
one-dimensional distance distinction;
pixel segmentation
- From:
Chinese Medical Equipment Journal
2017;38(7):1-5
- CountryChina
- Language:Chinese
-
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.
