A tree structure algorithm for joint blind channel estimation and signal detection for downlink MIMO DS-CDMA systems

  • Yung Yi Wang*
  • , Jiunn Tsair Chen
  • , Ying Lu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes two space-time joint channel parameter estimation and signal detection algorithms for downlink DS-CDMA systems with multiple-input-multiple-output (MIMO) wireless multipath fading channels. The proposed algorithms initially use the space-time MUSIC to estimate the DOA-delays of the multipath channel. Based on these estimated DOA-delays, a space-time channel decoupler is developed to decompose the multipath downlink channel into a set of independent parallel subchannels. The fading amplitudes of the multipath can then be estimated from the eigen space of the output of the space-time channel decoupler. With these estimated channel parameters, signal detection is carried out by a maximal ratio combiner on a pathwise basis. Computer simulations show that the proposed algorithms outperform the conventional space-time RAKE receiver while having the similar performance compared with the space-time minimum mean square error receiver.

Original languageEnglish
Title of host publicationProceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005
Pages359-362
Number of pages4
DOIs
StatePublished - 2005
Externally publishedYes
Event8th International Symposium on Signal Processing and its Applications, ISSPA 2005 - Sydney, Australia
Duration: 28 08 200531 08 2005

Publication series

NameProceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005
Volume1

Conference

Conference8th International Symposium on Signal Processing and its Applications, ISSPA 2005
Country/TerritoryAustralia
CitySydney
Period28/08/0531/08/05

Keywords

  • Channel parameter estimation
  • DS-CDMA
  • MUSIC
  • Signal detection

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