Improvement of BER using Pilot Insertion with SSS Algorithm in Sparse Channel Estimation

  • Suganya R Kingston Engineering College, Vellore
  • Kumutha D Kingston Engineering College
  • Amutha Prabha N SELECT, VIT, Vellore
DOI: https://doi.org/10.53555/eee.v2i6.198
Keywords: Cross Entropy Optimization (CEO), Stochastic Search Scheme (SSS), Compressed Sensing, Sparse Channel Estimation.

Abstract

This paper deals with the pilot placement problem for sparse channel estimation in OFDM systems. However, the selection of pilot tones significantly affects channel estimation performance. The need of optimal pilot placement for sparse channel estimation, in the sense of minimum mean-square error through an exhaustive search of all possible pilot placements is extremely computationally intensive. Reduction in computational complexity and simultaneously maximizing the accuracy of sparse channel estimation, the cross-entropy optimization is proposed to determine the optimal pilot placement by using Stochastic Search Scheme (SSS) algorithm. The simulated results can be obtained for cross entropy optimization method with stochastic search algorithm in channel estimation in OFDM systems.

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Author Biographies

Suganya R, Kingston Engineering College, Vellore

PG Scholar

Department of ECE,

Kumutha D, Kingston Engineering College

Ass. Professor

Department of ECE

Amutha Prabha N, SELECT, VIT, Vellore

Associate Professor

Published
2016-06-30
How to Cite
R, S., D, K., & N, A. P. (2016). Improvement of BER using Pilot Insertion with SSS Algorithm in Sparse Channel Estimation. IJRDO - Journal of Electrical And Electronics Engineering, 2(6), 01-07. https://doi.org/10.53555/eee.v2i6.198
Issue
Vol. 2 No. 6 (2016): IJRDO - Journal of Electrical And Electronics Engineering
Section
Articles

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