Abstract:

A novel blind adaptive beamforming algorithm is proposed based on uniform linear array using constant modulus feature and cubature Kalman filter (CKF). This algorithm transforms the cost function of the constant modulus algorithm (CMA) to a state space model, and cancels noise and suppresses interference using the CKF. System noise and measurement noise are processed adaptively without setting noise parameters, thus being applied to applications conveniently. A convergence factor is introduced to speed up the convergence of systems. Simulation results demonstrate its correctness and effectiveness.