Reduced-rank array processing for wireless communications with applications to IS-54/IS-136
Document Type
Article
Publication Date
12-3-2000
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.
Identifier
0033704182 (Scopus)
Publication Title
IEEE Transactions on Communications
External Full Text Location
https://doi.org/10.1109/26.843183
ISSN
00906778
First Page
743
Last Page
747
Issue
5
Volume
48
Recommended Citation
Haimovich, A. M.; Shah, A.; and Wu, X., "Reduced-rank array processing for wireless communications with applications to IS-54/IS-136" (2000). Faculty Publications. 15429.
https://digitalcommons.njit.edu/fac_pubs/15429
