Two Forty Phase Code Design with Good Discrimination Factor

Sequences with good discrimination factor are useful for radar and communication applications. In this paper Two Forty Phase sequences are synthesized using Modified Genetic Algorithm (MGA). Modified Genetic Algorithm is used as a statistical technique for obtaining approximate solutions to combinatorial optimization problems. This 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. The synthesized sequences have discrimination factor better than well-known Frank codes. The synthesized sequences also have complex signal structure which is difficult to detect and analyze by enemy electronics support measure.