A Novel Channel Estimation Algorithm for Underwater Acoustic Systems

Lei Lei Wu; Nai Ping Cheng

doi:10.4028/www.scientific.net/AMM.416-417.1309

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 416-417A Novel Channel Estimation Algorithm for...

A Novel Channel Estimation Algorithm for Underwater Acoustic Systems

Abstract:

To decrease the computational complexity and improve the performance of channel estimation for underwater acoustic (UWA) sparse multipath channels, a sparse least square (SLS) channel estimation algorithm is proposed. The proposed algorithm combines advantages of both generalized akaike information criterion (GAIC) estimation and estimation using effective order of channel impulse response (CIR). Known pilot data is used to estimate effective order of CIR and then the position of taps of CIR is estimated. In order to adapt to the environment with low SNR and reduce the dimension of signal space, adaptive threshold is also used. Simulation results indicate that the proposed method has good performance of channel estimation and low complexity.

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Periodical:

Applied Mechanics and Materials (Volumes 416-417)

Pages:

1309-1313

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.416-417.1309

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Online since:

September 2013

Authors:

Lei Lei Wu, Nai Ping Cheng

Keywords:

Channel Estimation Algorithm, Generalized Akaike Information Criterion (GAIC), Sparse Channel, Underwater Acoustic (UWA)

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