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Joint estimation and decoding of space-time trellis codes

  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

We explore the possibility of using an emerging tool in statistical signal processing, sequential importance sampling (SIS), for joint estimation and decoding of space-time trellis codes (STTC). First, we provide background on SIS, and then we discuss its application to space-time trellis code (STTC) systems. It is shown through simulations that SIS is suitable for joint estimation and decoding of STTC with time-varying flat-fading channels when phase ambiguity is avoided. We used a design criterion for STTCs and temporally correlated channels that combats phase ambiguity without pilot signaling. We have shown by simulations that the design is valid.

Original languageEnglish
Pages (from-to)305-315
Number of pages11
JournalEurasip Journal on Applied Signal Processing
Issue number3
DOIs
StatePublished - Mar 2002

Keywords

  • Design criterion
  • Kalman filtering
  • Phase ambiguity
  • Sequential importance sampling
  • Space-time coding

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