Opposition Based Genetic Algorithm for Optimizing Pilot Pattern for MIMO-OFDM Systems
Published: 2017
Author(s) Name: L. Swetha Rani, Suraiya Tarannum |
Author(s) Affiliation: Asst. Prof., Dept. of ECE, AMC Engineering College, Bengaluru, Karnataka, India.
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Abstract
In this Paper, we propose an Opposition Based Learning-Cauchy Mutation (OBL-CM) Generic Algorithm (GA) for optimizing the Pilot Pattern for Sparse and Least Square Estimation (LSE) of Channel Estimation in MIMO-OFDM systems. Channel Estimation is carried out with the help of Bit Error Rate (BER) and corresponding values of Signal-to-Noise Ratio (SNR). It has been shown that substantial performance improvement can be achieved by using OBL-CM GA algorithm for Sparse Channel Estimation and also with LSE Estimation.
Keywords: Genetic Algorithm (GA), Least Square Estimation (LSE), Multi Input Multi Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM), Opposition Based Learning Cauchy Mutation (OBL-CM).
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