A hybrid probabilistic data association-sphere decoding detector for multiple-input-multiple-output systems

Georgios Latsoudas, Nicholas D. Sidiropoulos

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

A hybrid probabilistic data association (PDA)-sphere decoding (SD) algorithm is proposed for signal detection in multiple-input-multiple-output (MIMO) systems. The key idea is to reduce the dimension of the problem solved via SD by first running a single stage of the PDA to fix symbols that can be decoded with high reliability. Simulations under a multiple antenna Rayleigh fading scenario show that this two-step algorithm attains a considerably better performance-complexity tradeoff than SD and PDA for low to moderate signal-to-noise ratio (SNR) or higher problem dimensions.

Original languageEnglish (US)
Pages (from-to)309-312
Number of pages4
JournalIEEE Signal Processing Letters
Volume12
Issue number4
DOIs
StatePublished - Apr 2005

Bibliographical note

Funding Information:
Manuscript received July 28, 2004; revised October 28, 2004. This work was supported in part by the U.S. ARO under ERO Contract N62558-03-C-0012 and by the EU under U-BROAD STREP 506790S. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Yiteng (Arden) Huang.

Keywords

  • Integer least squares
  • Multiple-input-multiple-output (MIMO) decoding
  • Probabilistic data association (PDA)
  • Sphere decoder

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