A linearized power method for adaptive beamforming in a multipath fading CDMA environment

Sungsoo Ahn; Seungwon Choi; Tapan K. Sarkar

doi:10.1002/mop.10034

A linearized power method for adaptive beamforming in a multipath fading CDMA environment

Sungsoo Ahn, Seungwon Choi, Tapan K. Sarkar

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

This paper discusses an adaptive procedure of a simplified power method for computing the eigenvector corresponding to the largest eigenvalue of an autocovariance matrix. The objective is to generate a suboptimal weight vector for an adaptive array operating in a multipath fading CDMA (code-division multiple access) channel. The total computational load of the proposed procedure is about O(4N), including an autocovariance matrix update, where N is the number of weights. The performance of the proposed array system is shown in terms of the BER (bit-error rate) and tile allowable capacity, in a modeled IS-95 CDMA signal environment.

Original language	English (US)
Pages (from-to)	361-365
Number of pages	5
Journal	Microwave and Optical Technology Letters
Volume	31
Issue number	5
DOIs	https://doi.org/10.1002/mop.10034
State	Published - Dec 5 2001

Keywords

Adaptive array
Linearized procedure
Maximum eigenvalue
Power method

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Condensed Matter Physics
Electrical and Electronic Engineering

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10.1002/mop.10034

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abstract = "This paper discusses an adaptive procedure of a simplified power method for computing the eigenvector corresponding to the largest eigenvalue of an autocovariance matrix. The objective is to generate a suboptimal weight vector for an adaptive array operating in a multipath fading CDMA (code-division multiple access) channel. The total computational load of the proposed procedure is about O(4N), including an autocovariance matrix update, where N is the number of weights. The performance of the proposed array system is shown in terms of the BER (bit-error rate) and tile allowable capacity, in a modeled IS-95 CDMA signal environment.",

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N2 - This paper discusses an adaptive procedure of a simplified power method for computing the eigenvector corresponding to the largest eigenvalue of an autocovariance matrix. The objective is to generate a suboptimal weight vector for an adaptive array operating in a multipath fading CDMA (code-division multiple access) channel. The total computational load of the proposed procedure is about O(4N), including an autocovariance matrix update, where N is the number of weights. The performance of the proposed array system is shown in terms of the BER (bit-error rate) and tile allowable capacity, in a modeled IS-95 CDMA signal environment.

AB - This paper discusses an adaptive procedure of a simplified power method for computing the eigenvector corresponding to the largest eigenvalue of an autocovariance matrix. The objective is to generate a suboptimal weight vector for an adaptive array operating in a multipath fading CDMA (code-division multiple access) channel. The total computational load of the proposed procedure is about O(4N), including an autocovariance matrix update, where N is the number of weights. The performance of the proposed array system is shown in terms of the BER (bit-error rate) and tile allowable capacity, in a modeled IS-95 CDMA signal environment.

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KW - Linearized procedure

KW - Maximum eigenvalue

KW - Power method

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A linearized power method for adaptive beamforming in a multipath fading CDMA environment

Abstract

Keywords

ASJC Scopus subject areas

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