Genetic algorithm optimization for ultra wideband impulse radio to mitigate multi-band jam interference

Abstract

Ultra wideband impulse radio usually operates in the presence of jam distributed in multiple discontinuous bands, which make it critical for system designer to optimize system parameters aiming to mitigate the multi-band jam interference power. The optimization problem is formulated, which belongs to the class of nonlinear combinational optimization, therefore it is difficult for conventional programming methods to find the global optimum. The genetic algorithm is implemented to solve the problem, where possible system parameters are represented as chromosomes on which genetic operators are repeatedly applied to find better solutions. Experiment results demonstrate the genetic algorithm can effectively find out the optimal system parameters to reduce the multi-band jam interference power.