SEQUENTIAL MONTE CARLO RADIO-FREQUENCY TOMOGRAPHIC TRACKING

被引：0
|
作者：
Li, Yunpeng [1 ]
Chen, Xi
Coates, Mark
Yang, Bo [1 ]
机构：
[1] Beijing Univ Posts & Telecom, Multimedia Technol Ctr, Beijing, Peoples R China
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年
关键词：
RF Tomography; On-line EM; Sequential Monte Carlo; Wireless Sensor Networks;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Radio Frequency (RF) tomographic tracking is the process of tracking moving targets by analyzing changes of attenuation in wireless transmissions. This paper presents a novel sequential Monte Carlo (SMC) method for RF tomographic tracking of a single target using a wireless sensor network. The algorithm incorporates on-line Expectation Maximization (EM) to estimate model parameters. Based on experimental measurements, we introduce a new measurement model for the attenuation caused by a target. We assess performance through numerical simulation and demonstrate that it significantly outperforms previous RF tomographic tracking procedures.
引用
收藏
页码：3976 / 3979
页数：4
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