Location Detection and Tracking of Moving Targets by a 2D IR-UWB Radar System

Sensors

Van-Han Nguyen¹  Jae-Young Pyun¹  Kourosh Khoshelham² 

[1] Department of Information and Communication Engineering, Chosun University, 375 Susuk-Dong, Dong-gu, Gwangju 501-759, Korea; E-Mail:;Department of Information and Communication Engineering, Chosun University, 375 Susuk-Dong, Dong-gu, Gwangju 501-759, Korea; E-Mail

关键词: ultra-wide band;    localization;    tracking;    Kalman filter;    extended Kalman filter;    unscented Kalman filter;   

DOI  :  10.3390/s150306740

来源: mdpi

【 摘 要 】

In indoor environments, the Global Positioning System (GPS) and long-range tracking radar systems are not optimal, because of signal propagation limitations in the indoor environment. In recent years, the use of ultra-wide band (UWB) technology has become a possible solution for object detection, localization and tracking in indoor environments, because of its high range resolution, compact size and low cost. This paper presents improved target detection and tracking techniques for moving objects with impulse-radio UWB (IR-UWB) radar in a short-range indoor area. This is achieved through signal-processing steps, such as clutter reduction, target detection, target localization and tracking. In this paper, we introduce a new combination consisting of our proposed signal-processing procedures. In the clutter-reduction step, a filtering method that uses a Kalman filter (KF) is proposed. Then, in the target detection step, a modification of the conventional CLEAN algorithm which is used to estimate the impulse response from observation region is applied for the advanced elimination of false alarms. Then, the output is fed into the target localization and tracking step, in which the target location and trajectory are determined and tracked by using unscented KF in two-dimensional coordinates. In each step, the proposed methods are compared to conventional methods to demonstrate the differences in performance. The experiments are carried out using actual IR-UWB radar under different scenarios. The results verify that the proposed methods can improve the probability and efficiency of target detection and tracking.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.