MIMO fingerprinting-based particle filter for mobile positioning systems
- Resource Type
- Conference
- Authors
- Chuang, Mu-Hsuan; Lo, Yi-Hao; Wu, Bo-Yi; Huang, Yuan-Hao
- Source
- 2013 International Symposium onVLSI Design, Automation, and Test (VLSI-DAT) VLSI Design, Automation, and Test (VLSI-DAT), 2013 International Symposium on. :1-4 Apr, 2013
- Subject
- Computing and Processing
Components, Circuits, Devices and Systems
Hardware
Mobile communication
Accuracy
Systematics
Computer architecture
Algorithm design and analysis
MIMO
- Language
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.