DocumentCode :
2809861
Title :
An efficient and low-complexity through wall moving target tracking algorithm by UWB radar
Author :
Tan, Kai ; Wu, Shiyou ; Chen, Jie ; Liu, Xiaojun ; Fang, Guangyou
Author_Institution :
Inst. of Electron., Key Lab. of Electromagn. Radiat. & Sensing Technol. of Chinese Acad. of Sci., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
fYear :
2012
fDate :
4-8 June 2012
Firstpage :
966
Lastpage :
971
Abstract :
Efficient detection and tracking of moving target hidden by walls is of interest for rescue, surveillance and security operations. However, in the process of real-time tracking, there are usually some wrong target locations - noise points in the tracking trajectory. This paper gives a short overview of the complete tracking process with all required phases of radar signal processing. Then the paper focus on the tracking phase and a threshold filter for real-time measurement with low computational complexity is introduced for target tracking. It will be shown by some real data acquired from UWB radar that the use of this new filter can efficiently remove the noise points therefore provide good smoothing of the target trajectory.
Keywords :
filtering theory; object detection; radar detection; radar signal processing; radar tracking; remote sensing by radar; ultra wideband radar; UWB radar; computational complexity; low-complexity through wall moving target tracking algorithm; moving target detection; noise points; radar signal processing; real-time measurement; real-time tracking; rescue operation; security operation; surveillance operation; target location; threshold filter; tracking phase; tracking process; tracking trajectory; Noise; Radar tracking; Target tracking; Trajectory; Ultra wideband radar; Wiener filters; UWB radar; moving target tracking; radar signal processing; through wall measurement; tracking filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ground Penetrating Radar (GPR), 2012 14th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2662-9
Type :
conf
DOI :
10.1109/ICGPR.2012.6255003
Filename :
6255003
Link To Document :
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