Threshold-based sparse channel estimation for Long-Range OFDM underwater acoustic system

Xiaolin Shi, Yixin Yang

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a convolutional-coded orthogonal frequency division multiplexing (OFDM) system designed for the long-range underwater acoustic channel with its attendant sparse multipath channels and Doppler effects. Based on the carrier frequency offset (CFO) compensation, a threshold-based sparse channel estimation algorithm is proposed by maximizing the probability of distinguishing between taps with significant and small energy. Simulation results demonstrate that the proposed sparse channel estimation is better than existing ones. OFDM receiver performance is further evaluated through simulations.

Original languageEnglish
Pages (from-to)2663-2670
Number of pages8
JournalICIC Express Letters
Volume8
Issue number9
StatePublished - Sep 2014

Keywords

  • OFDM
  • Sparse channel estimation
  • Underwater acoustic communications

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