Concurrent Blind Channel Equalization in Impulsive Noise Environments

LI Sen; WANG Yan; LIN Bin

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Article Navigation > Chinese Journal of Electronics > 2013 > 22(4): 741-746

LI Sen, WANG Yan, LIN Bin, “Concurrent Blind Channel Equalization in Impulsive Noise Environments,” Chinese Journal of Electronics, vol. 22, no. 4, pp. 741-746, 2013,

Citation:

LI Sen, WANG Yan, LIN Bin, “Concurrent Blind Channel Equalization in Impulsive Noise Environments,” Chinese Journal of Electronics, vol. 22, no. 4, pp. 741-746, 2013,

LI Sen, WANG Yan, LIN Bin, “Concurrent Blind Channel Equalization in Impulsive Noise Environments,” Chinese Journal of Electronics, vol. 22, no. 4, pp. 741-746, 2013,

Citation:

LI Sen, WANG Yan, LIN Bin, “Concurrent Blind Channel Equalization in Impulsive Noise Environments,” Chinese Journal of Electronics, vol. 22, no. 4, pp. 741-746, 2013,

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Concurrent Blind Channel Equalization in Impulsive Noise Environments

College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China

Funds: This work is supported in part by the National Natural Science Foundation of China (No.61171175, No.61001090) and the Fundamental Research Funds for the Central Universities (No.2011QN116).

More Information

Corresponding author: LI Sen, WANG Yan
Received Date: 2012-04-01
Rev Recd Date: 2012-11-01
Publish Date: 2013-09-25

Abstract

Abstract

In some communication systems the transmitted signal is contaminated by impulsive noise with a non-Gaussian distribution. Non-Gaussian noise caused significant performance degradation to communication receivers. The new constant modulus blind equalizer based on Fractional lower-order statistics of the equalizer input, which is defined as FLOS_CMA, is able to mitigate impulsive channel noise while restoring the constant modulus character of the transmitted communication signal. However, like the Constant modulus algorithm (CMA), the steady-state Mean square error (MSE) of the FLOS_CMA algorithm may not be sufficient low for the system to obtain adequate performance. This paper proposes a concurrent equalizer, in which a Decision-directed least mean p norm (DD_LMP) equalizer operates cooperatively with a FLOS_CMA equalizer, controlled through a non-linear link. Simulation results using M-QAM and 8-PSK signaling have shown that besides the capability of compensating the phase offset, the proposed concurrent FLOS_CMA and DD_LMP blind equalizer has faster convergence rate and lower steady-state MSE than the FLOS_CMA approach.
- Alpha-stable distribution,
- Fractional lower-order statistics,
- Least mean p norm,
- Constant modulus algorithm,
- Concurrent equalizer

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References(17)

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