Genetic algorithm based MVDR beam formation for adaptive nulling

Minimum variance distortionless response (MVDR) beam former is a spectral estimation technique where the power of signal in desired direction is maintained and the variance (power) in unwanted direction is minimized. MVDR beam former is generally used in adaptive arrays for adaptive nulling of jammer/interference. Generally in adaptive arrays QR decomposition is used for least square minimization of error, as it has less computational complexity and very fast convergence rate, In this paper we propose, the application of genetic algorithm concepts for (GA) for least square minimization in adaptive arrays. We show that the proposed algorithm is very efficient computationally compared to other algorithms available. The proposed algorithm based only on binary operations.