Title :
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
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;
Conference_Titel :
Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-1342-1
DOI :
10.1109/ICCIC.2012.6510202
