Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/61906
Title: Broadband linearly constrained adaptive array processing with a preprocessed Gram-Schmidt algorithm
Authors: Ko, C.C. 
Keywords: adaptive algorithms
adaptive arrays
Array processing
Issue Date: Apr-1991
Source: Ko, C.C. (1991-04). Broadband linearly constrained adaptive array processing with a preprocessed Gram-Schmidt algorithm. Signal Processing 23 (1) : 15-25. ScholarBank@NUS Repository.
Abstract: This paper presents and investigates a new preprocessed Gram-Schmidt algorithm for broadband linearly constrained arrays using tapped delay line processing. It is proposed that before the conventional Gram-Schmidt scheme is employed to reject unwanted interferences, the element signals should first be transformed by using a simple preprocessor to satisfy the look direction constraint and to reduce the correlation due to finite bandwidth effects. With this preprocessing, the implementation complexity of the algorithm is reduced by a factor equal to the number of taps behind each array element. Furthermore, due to this size reduction, the new algorithm also becomes faster in its convergence behaviour. © 1991.
Source Title: Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/61906
ISSN: 01651684
Appears in Collections:Staff Publications

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