Joint estimation and decoding of space-time trellis codes

  • Authors:
  • Jianqiu Zhang;Petar M. Djurić

  • Affiliations:
  • Department of Electrical and Computer Engineering, State University of New York at Stony Brook, Stony Brook, NY;Department of Electrical and Computer Engineering, State University of New York at Stony Brook, Stony Brook, NY

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2002

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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.