DocumentCode
2453090
Title
Target tracking using quantized innovations in wireless sensor networks
Author
Weng, Yang ; Zhao, Yonghong ; Zhao, Bin
Author_Institution
Sch. of Math., Sichuan Univ., Chengdu, China
fYear
2010
fDate
24-27 Aug. 2010
Firstpage
69
Lastpage
74
Abstract
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.
Keywords
data compression; target tracking; wireless sensor networks; local data compression; local data quantization; posterior Cramer-Rao lower bound; target tracking; wireless sensor networks; Kalman filters; Noise; Quantization; Sensors; Target tracking; Technological innovation; Wireless sensor networks; Target tracking; posterior Cramer-Rao bounds; quantized innovation; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location
Hefei
Print_ISBN
978-1-4244-6002-1
Type
conf
DOI
10.1109/ICCSE.2010.5593671
Filename
5593671
Link To Document