Joint Channel Estimation and Detection of High Rate CCK Signaling in Underwater Communications

Complementary code keying (CCK) is a high rate spread spectrum coded modulation designed for frequency selective channels. CCK has been shown as an effective signaling technology in underwater communications. To improve the performance of CCK receivers, this work presents a joint channel estimation and detection receiver based on a Markov Chain Monte Carlo (MCMC) approach. We simplify the receiver complexity by introducing a reduced state detector based on the concept of set partitioning for the CCK modulation and incorporated with the MCMC channel estimation mechanism. The proposed method demonstrates significant performance gain at modest computational complexity over several existing receiver algorithms.

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