Robust Adaptive Auto Regressive Weighted Constant Modulus Algorithm for Blind Equalization in MIMO-OFDM system

  • S. P. Girija, Rameshwar Rao

Abstract

Impulse noise is a major performance degrading factor, as it impairs the communication systems, such as mobile radio system, digital subscriber line system, and power line. Various Constant Modulus algorithms(CMA) were introduced to reduce the average of constant modulus error between the constant modulus and the equalizer output power in the impulsive noise environment. However, the existing blind learning methods generate large mis-adjustment and slow convergence rate in the impulse noise of Multiple Input Multiple Output (MIMO) system. To solve the impulse noise problem, the blind equalization method named Robust Adaptive Autoregressive weighted constant modulus algorithm (RAAWCMA) is introduced in this research work for MIMO system. Due to the feasibility and simplicity of stable convergence property, the proposed Robust Adaptive Autoregressive weighted constant modulus algorithm for blind equalization is utilized to solve the complexity of impulse noise in MIMO system. The proposed blind equalization method increases the performance of equalization by adjusting the weight vector based on the samples of output error. Moreover, the maximum average value obtained by the proposed algorithm is revealed based on the evaluation metrics, like Bit Error Rate, Symbol Error Rate, and Mean Square Error which acquire the values of 0.0005, 0.0005, and 0.0001 with the Rayleigh channel, and 0.0004, 0.0004, and 0.0001 with the Rician channel using six antennas.

Published
2020-01-31
How to Cite
Rameshwar Rao, S. P. G. (2020). Robust Adaptive Auto Regressive Weighted Constant Modulus Algorithm for Blind Equalization in MIMO-OFDM system. International Journal of Advanced Science and Technology, 29(3), 610 - 624. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/4132
Section
Articles