DocumentCode :
2165935
Title :
Distributed LCMV beamforming in wireless sensor networks with node-specific desired signals
Author :
Bertrand, Alexander ; Moonen, Marc
Author_Institution :
Katholieke Universiteit Leuven - Dept. ESAT, Kasteelpark Arenberg 10, B-3001, Belgium
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
2668
Lastpage :
2671
Abstract :
We consider distributed linearly constrained minimum variance (LCMV) beamforming in a wireless sensor network. Each node computes an LCMV beamformer with node-specific constraints, based on all sensor signals available in the network. A node has a local sensor array, and compresses its sensor signals to a signal with fewer channels, which is then shared with other nodes in the network. The compression rate depends inversely on the total number of linear constraints. Even though a significant compression is obtained, each node is able to generate the same outputs as a centralized LCMV beamformer, as if all sensor signals are available to every node. Since the distributed LCMV algorithm exploits a similar parametrization as previously developed distributed unconstrained MMSE signal estimation algorithms, it has similar dynamics and convergence properties. We provide simulation results to demonstrate the optimality and convergence of the algorithm.
Keywords :
Array signal processing; Wireless sensor networks; beamforming; distributed estimation; random arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague, Czech Republic
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5947034
Filename :
5947034
Link To Document :
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