研究在线盲信号分离问题。将适定盲信号分离的RLS算法,推广到源信号个数未知的超定盲信号分离模型中,利用正交投影方法消除了超定盲信号分离RLS算法的冗余移动,设计出能够稳定收敛的超定盲信号分离RLS算法。仿真实验验证了算法的有效性和其收敛的稳定性。
The problem of blind source separation is addressed. The RLS algorithm for well-determined blind source separation is generalized to over-determined blind source separation. By canceling the redundant movement of the RLS algorithm for over-determined blind source separation, a new RLS algorithm for over-determined blind source separation which can converge stably is developed. Computer simulation results show the effectiveness and convergent stability of the proposed algorithm