DocumentCode
3232993
Title
Target tracking with quantized communication
Author
Peng Huanxin ; Wang Wenkai
Author_Institution
Sch. of Mech. Eng., Nanjing Inst. of Ind. Technol., Nanjing, China
fYear
2012
fDate
18-20 Sept. 2012
Firstpage
1
Lastpage
4
Abstract
In the paper, we address the problem of target tracking with quantized communication. While the probabilistic distribution function of the measurement is unknown, in order to simplify the calculations of target tracking system and improve the accuracy of estimation, we propose a Kalman filter under uniformly probabilistic quantization, and analyze the performance of the probabilistic quantization Kalman filter. Simulations results are provided to verify the performance of the target tracking system under uniformly probabilistic quantization.
Keywords
Kalman filters; probability; quantum communication; target tracking; Kalman filter; probabilistic distribution function; probabilistic quantization Kalman filter; quantized communication; target tracking system; uniformly probabilistic quantization; Accuracy; Estimation; Kalman filters; Noise; Probabilistic logic; Quantization (signal); Target tracking; Kalman filter; probabilistic quantization; quantization communication; target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location
Wuhan
Print_ISBN
978-1-4577-1599-0
Type
conf
DOI
10.1109/PEAM.2012.6612465
Filename
6612465
Link To Document