Six Phase Optimal Sequence Design for Mimo Radar

Authors

  • Mr. J. Pandu

  • Dr. C.D.Naidu

  • Dr. N.Balaji

Keywords:

ant colony optimization, artificial bee colony algorithm (ABC), mimo, decentralized radar networks (DRNs, particle swarm optimization (PSO)

Abstract

Radar applications desire a set of sequences with discretely peaky autocorrelation and pair_wise cross correlation Invade such sequences is a combinal problem If the autocorrelation and cross correlation are convenient in the a periodic sense then there are hardly any theoretical aids available thus the problem of signal design referred to above is a defying problem for which many global optimization algorithms like ant colony optimization artificial bee colony ABC algorithm and particle swarm optimization algorithm were reported in the literature The paper intent at gadget of an efficient optimization algorithm is design to find an optimal pulse compression code useful for radar applications The proposed optimization algorithm particle swarm optimization algorithm for identifying the optimal pulse compression codes and it is a real-time signal processing solution which identifies optimal sequences

How to Cite

Mr. J. Pandu, Dr. C.D.Naidu, & Dr. N.Balaji. (2017). Six Phase Optimal Sequence Design for Mimo Radar. Global Journals of Research in Engineering, 17(F3), 55–61. Retrieved from https://engineeringresearch.org/index.php/GJRE/article/view/1591

Six Phase Optimal  Sequence Design for Mimo Radar

Published

2017-03-15