An Underwater Acoustic Blind Channel Estimation Algorithm Based on AR Models
Xin Zhang · Communications technology · 2007
This paper proposes an AR model-based underwater acoustic communication system. The Levinson-Durbin recursion algorithm, which is based on autocorrelation matrix of output sequence in the underwater communication system,can be applied to estimate the channel function and recover the original communication signal. Compared with high order statistics approaches this method has less complexity and is more suitable for high speed communication channel estimation. Simulation results of underwater acoustic channel estimation indicate that the algorithm has a high estimation accuracy.