Phase-only direct data domain adaptive processing algorithm using hybrid genetic algorithms

A phase-only adaptive processing based on direct data domain using hybrid genetic algorithms is presented. Considering practical application of the complex weight requires complex hardware system, the new algorithm phase-only adaptive processing based on direct data domain is presented to reduce the complexity requirement of system implementation. Then a hybrid genetic algorithms combined genetic algorithm with local search algorithm is used to solve the phase-only adaptive weights. Experimental results show that the phase-only weights solved by a hybrid genetic algorithm not only form deep null in the direction of interferences, but also estimate the magnitude of the target signal accurately. The proposed algorithm achieves the purpose of interference suppression and detecting targets, as well as reduces the complexity of hardware implementation of the system greatly for engineer implement easily.