@inproceedings{932c0c44a5954a55829e69a4ebc9752e,
title = "Adaptive non-myopic quantizer design for target tracking in wireless sensor networks",
abstract = "In this paper, we investigate the problem of non-myopic (multi-step ahead) quantizer design for target tracking using a wireless sensor network. Adopting the alternative conditional posterior Cram{\'e}r-Rao lower bound (A-CPCRLB) as the optimization metric, we theoretically show that this problem can be temporally decomposed over a certain time window. Based on sequential Monte-Carlo methods for tracking, i.e., particle filters, we design the local quantizer adaptively by solving a particle-based non-linear optimization problem which is well suited for the use of interior-point algorithm and easily embedded in the filtering process. Simulation results are provided to illustrate the effectiveness of our proposed approach.",
author = "Sijia Liu and Engin Masazade and Xiaojing Shen and Varshney, {Pramod K.}",
year = "2013",
doi = "10.1109/ACSSC.2013.6810460",
language = "English (US)",
isbn = "9781479923908",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "1085--1089",
booktitle = "Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers",
address = "United States",
note = "2013 47th Asilomar Conference on Signals, Systems and Computers ; Conference date: 03-11-2013 Through 06-11-2013",
}