Reduced-rank array processing for wireless communications with applications to IS-54/IS-136

A. M. Haimovich; A. Shah; X. Wu

doi:10.1109/26.843183

Reduced-rank array processing for wireless communications with applications to IS-54/IS-136

A. M. Haimovich, A. Shah, X. Wu

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

14 Scopus citations

Abstract

We study the application of the eigencanceler, a reduced rank method based on the eigendecomposition of the estimated covariance matrix, to the wireless communication problem. Simple closed-form bounds are obtained for the bit-error rate of binary phase-shift keying modulation in the presence of cochannel interference in systems using sample matrix inversion (SMI) and the eigencanceler. The application of SMI and the eigencanceler to a flat fading time-division multiple-access system is studied in the context of the IS-54/IS-136 standard. It is shown that adaptive antennas in conjunction with reduced-rank processing can be used to increase capacity of such systems by reducing the frequency reuse factor from 7 to 1.

Original language	English (US)
Pages (from-to)	743-747
Number of pages	5
Journal	IEEE Transactions on Communications
Volume	48
Issue number	5
DOIs	https://doi.org/10.1109/26.843183
State	Published - 2000

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/26.843183

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abstract = "We study the application of the eigencanceler, a reduced rank method based on the eigendecomposition of the estimated covariance matrix, to the wireless communication problem. Simple closed-form bounds are obtained for the bit-error rate of binary phase-shift keying modulation in the presence of cochannel interference in systems using sample matrix inversion (SMI) and the eigencanceler. The application of SMI and the eigencanceler to a flat fading time-division multiple-access system is studied in the context of the IS-54/IS-136 standard. It is shown that adaptive antennas in conjunction with reduced-rank processing can be used to increase capacity of such systems by reducing the frequency reuse factor from 7 to 1.",

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AB - We study the application of the eigencanceler, a reduced rank method based on the eigendecomposition of the estimated covariance matrix, to the wireless communication problem. Simple closed-form bounds are obtained for the bit-error rate of binary phase-shift keying modulation in the presence of cochannel interference in systems using sample matrix inversion (SMI) and the eigencanceler. The application of SMI and the eigencanceler to a flat fading time-division multiple-access system is studied in the context of the IS-54/IS-136 standard. It is shown that adaptive antennas in conjunction with reduced-rank processing can be used to increase capacity of such systems by reducing the frequency reuse factor from 7 to 1.

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Reduced-rank array processing for wireless communications with applications to IS-54/IS-136

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