Adaptive MMSE Equalizer Based On CSLMS For Blind Fractional Spaced CMA Channel Equalization

K.KISHAN, RAO and R. NIRMALA, DEVI (2015) Adaptive MMSE Equalizer Based On CSLMS For Blind Fractional Spaced CMA Channel Equalization. In: Third International Conference on Advances In Computing, Control And Networking - ACCN 2015, 28-29 December, 2015, Bangkok, Thailand.

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Abstract

The adaptive algorithm has been broadly used in the digital signal processing like channel estimation, channel equalization, noise cancellation, and so on. One of the most significant adaptive algorithms is the NLMS algorithm .This paper discuss about several objective optimization approaches to fast blind channel equalization. Different filter structures are presented to nullify the diverse form of noises. In this paper the proposed algorithm constrained stability least mean square (CSLMS) algorithm has distinct feature of minimizing mean square error (MSE) effectively. Different adaptive filter methods are proposed and finally CSLMS based adaptive filter algorithm is found to be the best in performance in terms of signal to noise ratio(SNR) and mean square error without increasing the computational complexity.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Least mean square (LMS), Normalized Least mean square (NLMS), Constant modulus algorithm (CMA), constrained stability least mean square (CSLMS).
Depositing User: Mr. John Steve
Date Deposited: 29 Mar 2019 10:38
Last Modified: 29 Mar 2019 10:38
URI: http://publications.theired.org/id/eprint/1041

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