Proceedings ArticleDOI
Joint tracking and power level estimation of multiple targets using a proximity sensor network
Qiang Le,Lance M. Kaplan +1 more
- pp 1-8
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TLDR
This work studies the feasibility of using the joint multitarget particle filter to estimate the number of targets, and at the same time estimate the 5D target states including the positions, velocities and power levels.Abstract:
This work documents our investigation of multiple target tracking filters in proximity sensor networks when the target power levels are not known. The challenge is that when the targets are close, it is hard to determine if the sensor reports are the results of a loud target or multiple quiet targets. Given the binary measurements:1 for detection of targets and 0 for nondetection of targets, the works studies the feasibility of using the joint multitarget particle filter to estimate the number of targets, and at the same time estimate the 5D target states including the positions, velocities and power levels.read more
References
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