Hidden Markov Model for target tracking with UWB radar systems
Hidden Markov Model for target tracking with UWB radar systems
复制标题
使用 UWB 雷达系统进行目标跟踪的隐马尔可夫模型
DOI：
10.1109/pimrc.2009.5450337
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
P. Rapajic
中科院分区：
文献类型：
--
作者：
Y. Nijsure;Yifan Chen;C. Litchfield;P. Rapajic
在本文中，我们展示了隐马尔可夫模型（HMM）在超宽带雷达网络定位和跟踪中的应用。为了提高定位能力，利用基于Voronoi区域的方法形成HMM，用于移动目标的检测和跟踪。HMM定位所用的观测值来自于接收信号的功率延迟分布。在超宽带系统中，使用整个功率延迟曲线而不是仅使用总功率，可以达到更高的定位精度。这是由于功率延迟配置文件是功率以及到达时间的度量。仿真结果表明，在信噪比（SNR）的中间值存在路径损耗时，定位的性能增益比最大似然估计高7dB。
In this paper we demonstrate the application of Hidden Markov Models (HMM) for localization and tracking in ultra wide band (UWB) radar networks. To improve localization, a Voronoi region based approach is utilized to form a HMM for detection and tracking of mobile target. The observations used for the HMM localization are obtained from the power delay profile of the received signals. In UWB systems the use of entire power delay profiles instead of the total power only, allows to reach higher localization accuracy. This is due to the power delay profile being a measure of the power as well as the time of arrival. Simulation results suggest a performance gain of 7dB over the maximum likelihood estimation for localization in presence of path loss at intermediate values of signal to noise ratio (SNR).
DOI：
10.1109/tpami.1984.4767596
发表时间：
1984-01-01
影响因子：
23.6
作者：
GEMAN, S;GEMAN, D
通讯作者：
GEMAN, D