Shihab Jimaa* and Kok Keong Chai Pages 85 - 91 ( 7 )
Background & Objective: Underwater acoustic channels suffer from multipath, attenuation, noise, frequency selectivity and Doppler effect. Finding efficient methods to communicate over such very poor quality and high latency channels has been a challenge. A multipath underwater acoustic channel can be seen as a sparse system, whose impulse response contains many zeroes and very few large coefficients. The underwater digital communication research studies and experiments have been developing over the last three decades leading to achievements and improvements since it started. This field of communications would support so many sectors such as defense, marine research, marine commercial operations, oceanography, and the offshore oil industry.
Conclusion: This paper provides a thorough overview of the latest research in the area of sparse underwater wireless channels’ estimation and also presents brief proposals for future research directions to enhance the accuracy of the underwater channel estimation.
Compressive sensing, ℓ0-LS algorithm, sparsity, underwater channel estimation, doppler, sparse system.
ECE Department, Khalifa University of Science and Technology, Abu-Dhabi, School of EECS, Queen Mary University of London, London