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Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing
 

Summary: Hindawi Publishing Corporation
EURASIP Journal on Advances in Signal Processing
Volume 2007, Article ID 68291, 9 pages
doi:10.1155/2007/68291
Research Article
Generalized Broadband Beamforming Using
a Modal Subspace Decomposition
Michael I. Y. Williams, Thushara D. Abhayapala, and Rodney A. Kennedy
Department of Information Engineering, Research School of Information Sciences and Engineering,
The Australian National University, Canberra, ACT 0200, Australia
Received 29 September 2005; Revised 29 March 2006; Accepted 1 April 2006
Recommended by Vincent Poor
We propose a new broadband beamformer design technique which produces an optimal receiver beam pattern for any set of
field measurements in space and time. The modal subspace decomposition (MSD) technique is based on projecting a desired
pattern into the subspace of patterns achievable by a particular set of space-time sampling positions. This projection is the
optimal achievable pattern in the sense that it minimizes the mean-squared error (MSE) between the desired and actual pat-
terns. The main advantage of the technique is versatility as it can be applied to both sparse and dense arrays, nonuniform
and asynchronous time sampling, and dynamic arrays where sensors can move throughout space. It can also be applied to any
beam pattern type, including frequency-invariant and spot pattern designs. A simple extension to the technique is presented
for oversampled arrays, which allows high-resolution beamforming whilst carefully controlling input energy and error sensitiv-

  

Source: Abhayapala, Thushara D. - Department of Information Engineering, Australian National University

 

Collections: Computer Technologies and Information Sciences