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Communication Dans Un Congrès Année : 2006

Maximum likehood sequence estimation based on periodic time-varying trellis for LPTVMA systems

Résumé

In this paper we show how Maximum Likelihood Sequence Estimation (MLSE) can be implemented in a Linear Periodic Time-VaryingMultiple Access (LPTVMA) system. Assuming quasi-synchronous users, LPTVMA systems can be considered as Multi User Interference (MUI) free systems. Hence LPTVMA systems can be equalized. In multipath channels the equalization step uses a Zero Padding (ZP) technique. The equivalent channel to equalize is a zero-pad channel. For such zero-pad channels the MLSE can be efficiently implemented by using a parallel trellis Viterbi algorithm. The complexity of the MLSE can be further reduced because the padding zeros have known positions in the received signal. The proposed MLSE uses a periodic time-varying trellis. Thus the number of states of the MLSE can be reduced. The performances of LPTVMA systems using the proposed MLSE are evaluated by simulations.

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Dates et versions

hal-04090324 , version 1 (05-05-2023)

Identifiants

  • HAL Id : hal-04090324 , version 1
  • OATAO : 2679

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Bogdan Cristea, Daniel Roviras, Benoît Escrig. Maximum likehood sequence estimation based on periodic time-varying trellis for LPTVMA systems. 14th European Signal Processing Conference (EUSIPCO 2006), Sep 2006, Florence, Italy. pp.1-5. ⟨hal-04090324⟩
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