Tracking a time-varying number of targets with radio-frequency tomography

被引：0
作者：
Xiao H. [1 ]
Liu H. [1 ]
Xu J. [1 ]
Men A. [1 ]
机构：
[1] School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing
来源：
Transactions of Tianjin University | 2015年 / 21卷 / 4期
关键词：
multi-target tracking; particle filtering; radio-frequency tomography; random finite sets; tracking by detection; wireless sensor networks;
D O I：
10.1007/s12209-015-2506-9
中图分类号：
学科分类号：
摘要：
Abstract:Radio-frequency (RF) tomography is an emerging technology which derives targets location information by analyzing the changes of received signal strength (RSS) in wireless links. This paper presents and evaluates a novel RF tomography system which is capable of detecting and tracking a time-varying number of targets in a cluttered indoor environment. The system incorporates an observation model based on RSS attenuation histogram and a multi-target tracking-by-detection filtering approach based on probability hypothesis density (PHD) filter. In addition, the sequential Monte Carlo method is applied to implement the multi-target filtering. To evaluate the tracking system, the experiments involving up to 3 targets were performed within an obstructed indoor area of 70 m2. The experimental results indicate that the proposed tracking system is capable of tracking a time-varying number of targets. © 2015, Tianjin University and Springer-Verlag Berlin Heidelberg.
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收藏
页码：356 / 365
页数：9
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