适用于稀疏多径信道的稀疏自适应常模盲均衡算法

doi:10.11959/j.issn.1000-436x.2017017

Abstract

Abstract:

In order to improve the convergence rate of the blind equalizer for sparse multipath channel,a novel blind equalization approach called l₀-norm constraint proportionate normalized least mean square constant algorithm was proposed for M-order phase-shift keying (MPSK) signal.Based on the constant modulus characteristics of MPSK signal and the sparse property of equalizer,a new blind equalization cost function with the l₀-norm penalty on the equalizer tap coefficients was firstly constructed.Then the update formula of the tap coefficients was derived according to the gradient descent algorithm.Moreover,the iteration step was updated by drawing upon the normalized proportionate factor.The algorithm not only assigned step sizes proportionate to the magnitude of the current individual tap weights,but also attracted the inactive taps to zero adaptively.Theoretical analysis and simulation results show that the proposed algorithm outperforms the existing blind equalization algorithms for sparse channel in reducing ISI and improving convergence rate.

Key words: sparse multipath channel, fast convergence blind equalization, l₀-norm penalty, proportionate factor

CLC Number:

TN911.5

Si-yang MA,Hua PENG,Bin WANG. Sparse adaptive constant blind equalization algorithm for sparse multipath channel[J]. Journal on Communications, 2017, 38(1): 149-157.

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References 16

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算法	SNR=30 dB	SNR=15 dB
LMS-CMA	μ =0.4	μ =0.2
LMS-SCMA	μ =0.4，稀疏化处理门限0.01	μ =0.2，稀疏化处理门限0.01
l _p-LMS-CMA	μ =0.4	μ =0.2
l ₀-IPNLMS-CMA	μ =0.4,γ=0.001,η=25,δ=0.01,ε=0.01,κ=0.01	μ =0.2,γ=0.001,η=25,δ=0.01,ε=0.01,κ=0.01

Sparse adaptive constant blind equalization algorithm for sparse multipath channel

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