Design of robust communication systems using genetic algorithms

  • Authors:

  • Chien-Min Ou;Wen-Jyi Hwang;Hung-Chuan Yung

  • Affiliations:

  • Department of Electronics Engineering, Ching Yun University, Chungli, Taiwan, ROC;Graduate Institute of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan, ROC;Department of Electronics Engineering, Ching Yun University, Chungli, Taiwan, ROC

  • Venue:
  • EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a novel genetic algorithm for jointly optimizing source and channel codes. The algorithm uses a channel-optimized vector quantizer for the source code, and a rate-punctured convolutional code for the channel code. The genetic algorithm enhances the robustness of the rate-distortion performance of the channel-optimized vector quantizer, and reduces the computational time for finding the best rate-punctured convolutional code. Numerical results show that the algorithm attains near optimal performance while having low computational complexity.