CMA-based adaptive antenna array digital beamforming with reduced complexity

Reducing the computational complexity as well as convergence time is the main task of adaptive antenna array processing. This article proposes an improved algorithm for estimating the weights of adaptive array elements based on Constant Modulus Algorithm (CMA). In this new type of algorithm, those weights that have higher effect on the radiation pattern will be estimated and antenna pattern will be adjusted by changing these weights. In this research, 3 new algorithms are proposed. By simulating these algorithms and comparing them with conventional full weight CMA, finally new algorithm that has a reduced complexity and an acceptable performance at different signal to noise ratios (SNRs) is extracted. Three cases have been simulated, pure noisy channel, channel with one interference signal and channel with two interference signals. According to the simulation results, appropriate algorithm is based on weighting the half number of array elements and updating all weights between two consecutive time to avoid error propagation.