L0 Norm Based Affine Projection Sign Algorithm for Sparse Underwater Acoustic Channel Estimation under Symmetric Α-stable Noise
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چکیده
A new framework is proposed for deriving adaptive algorithms for sparse channel estimation under the presence of Symmetric α-Stable (SαS) noise. The algorithmic framework employs the natural gradient and incorporates both the Lp norm of the channel prediction error and the L0 norm of the complex-valued channel taps. Based on this framework, a novel affine projection sign algorithm is derived and compared against the improved proportionate affine projection sign algorithm (IPAPSA) by estimating an experimental underwater acoustic (UWA) channel under the presence of simulated SαS noise. Enhanced convergence rate and tracking performance is demonstrated at the expense of a slight increase in computational complexity.
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تاریخ انتشار 2012