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 journalArticlepeer-review

14 Scopus citations


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 languageEnglish (US)
Pages (from-to)743-747
Number of pages5
JournalIEEE Transactions on Communications
Issue number5
StatePublished - 2000

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


Dive into the research topics of 'Reduced-rank array processing for wireless communications with applications to IS-54/IS-136'. Together they form a unique fingerprint.

Cite this