A Mode Switching q-noise Constrained LMS-based Generalized Sidelobe Canceller

The traditional q-derivative method has the advantage of fast convergence, it also has a wide optimization space for various beamforming algorithms. In this paper, based on the generalized sidelobe canceller (GSC) beamforming algorithm, the q-derivative method is optimized by mode transformation, which further improves the convergence speed of the algorithm. Meanwhile, the stability of the algorithm is guaranteed. Therefore, the algorithm can greatly reduce the computation amount by reducing the number of iterations, which provides the possibility for application in practice. The simulation results show that the algorithm has excellent convergence speed and good stability.