Reduced-rank signature-receiver adaptation

Yakun Sun*, Michael L. Honig

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Interference in code-division multiple access (CDMA) and multi-antenna systems can be avoided by choosing a signature (in space and/or time), which lies in the direction of least interference plus noise. If the interference statistics are unknown a priori, then the signature can be adaptively estimated with a training sequence. We present an iterative scheme for joint signature-receiver adaptation with an adaptive reduced-rank Multi-Stage Wiener Filter (MSWF) at the receiver. We establish convergence of the iterative signature-receiver optimization scheme for a single user with fixed interference, and show that the limiting performance for any filter rank D ≥ 2 is the same as that obtained with a full-rank receiver. To reduce feedback requirements, we also consider joint signature-receiver adaptation with a reduced-rank signature, which is confined to a randomly chosen subspace. Numerical results are presented for both single- and multi-user (group) adaptation, which show that reduced-rank signature-receiver estimation can achieve near-optimal performance with relatively little training and low complexity.

Original languageEnglish (US)
Article number1705951
Pages (from-to)2896-2902
Number of pages7
JournalIEEE Transactions on Wireless Communications
Volume5
Issue number10
DOIs
StatePublished - Oct 2006

Keywords

  • Adaptive receiver
  • CDMA
  • Interference avoidance
  • Reduced-rank
  • Signature optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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