On the achievable sum rate of multiterminal source coding for a correlated Gaussian vector source

In wireless sensor networks, many monitoring problems can be cast in the form of distributed estimation. If the data links from the sensor nodes to the fusion center have limited capacity, there is a tradeoff between estimation precision and transmission rate. This kind of decentralized estimation s...

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Vydáno v:2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) s. 2665 - 2668
Hlavní autoři: Jie Chen, Swindlehurst, A. L.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.03.2012
Témata:
Abstracts
CEO problems
distributed estimation
Indexes
Indirect multiterminal source coding
rate distortion theory
Wireless communication
Wireless sensor networks
ISBN:1467300454, 9781467300452
ISSN:1520-6149
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Shrnutí:In wireless sensor networks, many monitoring problems can be cast in the form of distributed estimation. If the data links from the sensor nodes to the fusion center have limited capacity, there is a tradeoff between estimation precision and transmission rate. This kind of decentralized estimation system is equivalent to the so-called indirect multiterminal source coding problem, and the Berger-Tung inner bound is the best known achievable rate region boundary. In this paper, we attempt to evaluate the Berger-Tung sum rate for a vector source with correlated components. First we formulate the sum rate as a nonconvex optimization problem with a distortion constraint. Then we propose a method to find an approximate solution. Numerical experiments show the approximate solution is accurate if the required distortion level is relatively small. Its appropriateness is also verified by simulation results based on practical quantizer design.
ISBN:1467300454
9781467300452
ISSN:1520-6149
DOI:10.1109/ICASSP.2012.6288465