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Sparse-representation algorithms for blind estimation of acoustic-multipath channels
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View: Figures


Image of FIG. 1.
FIG. 1.

The SIMO system model.

Image of FIG. 2.
FIG. 2.

(Color online) Simulation setup and acoustic ray paths of a shallow water multipath environment.

Image of FIG. 3.
FIG. 3.

Impulse responses of two underwater acoustic channels and blind estimates of the BP, OMP, MP, subspace, and LS methods. The left side shows the results of channel 1 while the right side displays those of channel 2.

Image of FIG. 4.
FIG. 4.

(Color online) Correlation coefficients versus SNR.

Image of FIG. 5.
FIG. 5.

(Color online) Correlation coefficients versus transmitted signal length.

Image of FIG. 6.
FIG. 6.

Top view of the simulated room used to evaluate the performance of the blind multichannel identification algorithm.

Image of FIG. 7.
FIG. 7.

Comparison of room impulse responses between true acoustic channels and their estimates obtained by the BP. The three figures on the left side are the true responses of the three channels while the right side displays the estimated results.


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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Sparse-representation algorithms for blind estimation of acoustic-multipath channels