Real-time algorithm for adaptive beamforming using cyclic signals
Resource
Antennas and Propagation Society International Symposium, 1995. AP-S. Digest
Journal
Antennas and Propagation Society International Symposium, 1995. AP-S
Pages
-
Date Issued
1995-06
Date
1995-06
Author(s)
Yu, Shiann-Jeng
DOI
N/A
Abstract
Adaptive beamforming using signal cyclostationarity can preserve the desired signal and cancel the interferers without prior information of the steering vector. We consider the Cross-SCORE processor which is one of this class of beamformers and uses time-consuming eigenvalue decomposition (EVD) to compute the weight vectors. Thus, this processor is not suitable for real-time processing. We apply a modular Gram-Schmidt orthogonalization (GSO) structure in conjunction with a power normalization scheme to the Cross-SCORE processor and propose a LMS based adaptive algorithm to update the weight vectors. Due to the pipeline and parallel properties of the modular GSO structure, our approach is very suitable for real-time processing and the required computing time for the array to process an output is O(N), where N is the number of array elements.
SDGs
Type
journal article
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