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Proceedings Paper

Implementation of adaptive beamforming algorithms on parallel processing DSP networks
Author(s): Sati Banerjee; Paul M. Chau
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Paper Abstract

In this paper we address the problem of implementing a Least Squares problem, like that arising in the adaptive beamforming case, on a multiprocessor network comprising of general purpose DSP processors. Although optimal array processors have been proposed for this problem, an implementation on a generalized network is a flexible and more modular and reconfigurable solution, suited for a highly dynamic environment with changing applications and problem sizes. The parallelization issues have been explored and a scheme for an efficient implementation has been described.

Paper Details

Date Published: 30 November 1992
PDF: 12 pages
Proc. SPIE 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III, (30 November 1992); doi: 10.1117/12.130919
Show Author Affiliations
Sati Banerjee, Univ. of California/San Diego (United States)
Paul M. Chau, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 1770:
Advanced Signal Processing Algorithms, Architectures, and Implementations III
Franklin T. Luk, Editor(s)

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