Optimal Bayesian resampling for OFDM signaling over multi-scale multi-lag channels

  • Authors:
  • Sajjad Beygi;Srinivas Yerramalli;Urbashi Mitra

  • Affiliations:
  • University of Southern California;University of Southern California;University of Southern California

  • Venue:
  • Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems
  • Year:
  • 2012

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Abstract

Underwater acoustic (UWA) communication channels suffer from long delay spreads and significant Doppler effects. Such channels are also ultrawideband in nature. Thus, the typical UWA distortion can be well-described by a multi-scale multi-lag (MSML) channel model. Many UWA communication systems employ resampling by a single-scale at the front-end to compensate for the scale effects of UWA channels. In this paper, the optimal resampling factor for OFDM signaling over MSML channels is investigated from a Bayesian perspective. The resampling factor is selected to minimize the inter-carrier interference resulting from the MSML channel. The exact interference power is computed, but is intractable for optimization, thus an upper bound is employed for optimization. Numerical results verify the tightness of the bound and the Bayesian approach is compared to deterministic methods previously derived for resampling in MSML channels.