Synthesis of binary sequences with good auto- and crosscorrelation properties by GA

In this letter we employ a genetic algorithm (GA) to synthesize binary sequences with good autocorrelation and crosscorrelation properties. The feasibility and robustness of this method are proved by the sequences obtained in simulation, which are better in auto- and crosscorrelation properties than those previously reported.