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

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 coc...

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Bibliographic Details
Published in:IEEE transactions on communications 2000-05, Vol.48 (5), p.743-747
Main Authors: Haimovich, A.M., Shah, A., Xiao Wu
Format: Article
Language:English
Subjects:
Adaptive arrays
Antennas
Array signal processing
Arrays
Binary systems
Bit error rate
Context
Covariance matrix
Exact solutions
Fading
Interchannel interference
Mathematical analysis
Modulation
Phase modulation
Phase shift keying
Wireless communication
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Summary: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.
ISSN:0090-6778
1558-0857
DOI:10.1109/26.843183