Compressed Sensing for Sparse Underwater Channel Estimation: Some Practical Considerations

Sushil Subramanian

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Compressed Sensing for Sparse Underwater Channel Estimation: Some Practical Considerations

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arxiv 1002.2677 v1 pith:IZB3CKC5 submitted 2010-02-13 stat.AP cs.ITmath.IT

Sushil Subramanian This is my paper · ORCID

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keywords channelestimationsparsecompressedsensingsomeunderwateralgorithm

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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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