MIMO Fingerprinting-Based Particle Filter for Mobile Positioning Systems

被引：0

作者：

Chuang, Mu-Hsuan ^{[1
]}

Lo, Yi-Hao ^{[1
]}

Wu, Bo-Yi ^{[1
]}

Huang, Yuan-Hao ^{[1
]}

机构：

[1] Natl Tsing Hua Univ, Inst Commun Engn, Hsinchu, Taiwan

来源：

2013 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION, AND TEST (VLSI-DAT) | 2013年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a particle filter processor for mobile positioning systems. The proposed particle filter employs a selective sampling scheme to reduce the required iteration of particle filtering and improve positioning accuracy. Moreover, a threshold IMH resampling algorithm is also proposed to enhance the hardware utilization rate and processing latency. This study also designs and implements the particle filering processor with a flexible particle number and sampling threshold according different channel conditions. The proposed threshold IMH resampling not only improves the hardware utilization to more than 95% but also reduces the processing latency of the conventional IMH resampling algorithm. The chip implementation results show that the particle filter, when deployed in base-station, can track the location of 100 mobile users at 180 km/hr speed with less than 10-meter root-mean-square (RMS) error.

引用

页数：4

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