Forty-Eight phase code design with good Merit Factor

Author

Singh, S.P. ; Rao, S.B. ; Rao, E.N.V.P.C. ; Choudhery, S.

Author_Institution

ECE Dept., MGIT, Hyderabad, India

fYear

2012

fDate

18-20 Dec. 2012

Firstpage

1

Lastpage

4

Abstract

A Modified Genetic Algorithm (MGA) is used as a statistical technique for obtaining approximate solutions to combinatorial optimization problems. MGA algorithm combines the good methodologies of the two algorithms like global minimum converging property of Genetic Algorithm (GA) and fast convergence rate of Hamming scan algorithm. In this paper MGA is used to synthesize Forty-Eight phase sequences with good Merit Factor. The synthesized sequences have complex signal structure and very difficult to detect and analyze by an enemy´s Electronic Support Measures (ESMs).

Keywords

approximation theory; genetic algorithms; phase coding; statistical analysis; Hamming scan algorithm; MGA; approximation solution; combinatorial optimization problem; electronic support measure; forty-eight phase sequence; merit factor; minimum converging property; modified genetic algorithm; phase code design; statistical technique; Autocorrelation; Genetic algorithm; Hamming scan; Polyphase codes; Radar signal;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4673-1342-1

Type

conf

DOI

10.1109/ICCIC.2012.6510202

Filename

6510202