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Target tracking using quantized innovations in wireless sensor networks

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3 Author(s)
Yang Weng ; Sch. of Math., Sichuan Univ., Chengdu, China ; Yonghong Zhao ; Bin Zhao

Local data quantization/compression is a necessity due to the bandwidth constraint of wireless sensor networks. A target tracking method that uses quantized innovations is proposed for wireless sensor networks. The posterior Cramer-Rao lower bound (PCRLB) for quantized innovations is derived. The simulation results show that the proposed method can reach the PCRLB even with the high level process noise.

Published in:

Computer Science and Education (ICCSE), 2010 5th International Conference on

Date of Conference:

24-27 Aug. 2010