Compressed Sensing for Sparse Underwater Channel Estimation: Some Practical Considerations

2010/02/13 by Subramanian, Sushil
#Applications (stat.AP) #FOS: Computer and information sciences #Information Theory (cs.IT)

paper · doi:10.48550/arxiv.1002.2677

Abstract

We examine the use of a structured thresholding algorithm for sparse underwater channel estimation using compressed sensing. This method shows some improvements over standard algorithms for sparse channel estimation such as matching pursuit, iterative detection and least squares.

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