2017 |
Volume 1 |
Issue Issue 1
Opposition Based Genetic Algorithm for Optimizing Pilot Pattern for MIMO-OFDM Systems
1.
L. Swetha Rani
– Asst. Prof., Dept. Of Ece, Amc Engineering College, Bengaluru, Karnataka, India.
2.
Suraiya Tarannum
– Asst. Prof., Dept. Of Ece, Amc Engineering College, Bengaluru, Karnataka, India.
Received
22-Aug-2017
|
Accepted
-
|
Published
22-Aug-2017
|
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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