Approximate ML serial detector based on Tomlinson-Harashima pre-equalization

Linyang Song, Rodrigo C. de Lamare, Are Hjorungnes, Manav R. Bhatnagar, Alister G. Burr

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a novel and simple approximate maximum likelihood detector (A-ML-D) for single input and single output (SISO) systems over frequency-selective fading channels based on Tomlinson-Harashima pre-equalizer. fly assuming full channel state information (CSI) at the transmitter side, the pre-equalizer can remove some inter-symbol interference (ISI) at the transmitter. At the receiver, we implement a Gaussian approximation, a pre-whitening filter and a matched filter to realize a set of parallel SISO schemes, and thus, facilitate single symbol detection. The proposed scheme can obtain full multi-path diversity and achieve near-optimal performance with a complexity lower than linear MMSE and MMSE-DFE. Analytical symbol error rate (SER) is derived to further justify the proposed detector.

Original languageEnglish
Pages (from-to)1301-1305
Number of pages5
Journal2008 IEEE 67TH VEHICULAR TECHNOLOGY CONFERENCE-SPRING, VOLS 1-7
Publication statusPublished - 2008

Keywords

  • INTERSYMBOL INTERFERENCE
  • CHANNELS
  • SYSTEMS

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