Enhanced anti-jamming capability for cyclostationary algorithms in weak signal environments

Aiming at the cyclostationary property of most communication signals, two cyclostationary algorithms are analyzed in detail, which are obtained by using the Lagrange multiplier method based on different combinations of optimization objectives and constraints, and a novel adaptive implementation method called forgetting factor method is proposed to improve the anti-jamming capability in weak signal environments. These algorithms have a computational complexity of O(n²) complex multiplications and can avoid the computationally expensive eigenvalue decomposition or singular value decomposition problem. The results based on computer simulation show that the output SINR and beam patterns using the proposed method are better.