Joint RLS and LMS adaptive equalization for indoor wireless communications under staircase environments

In this paper, a novel joint recursive least square (RLS) and least mean square (LMS) adaptive equalization algorithm for indoor, short range wireless communications under staircase environment is proposed. In this algorithm, the RLS is initially used to realize the fast convergence. Then, the LMS is adapted to rapidly optimize the receiving signals. Once the imbalance of the equalizer or severe channel deterioration is captured, RLS algorithm is triggered again to recover balance. It is seen that the proposed algorithm can bring more than 9dB equalization gain to the 2.6GHz-band indoor wireless communication under staircase environment. Finally, the proposed joint algorithm is also verified to be runtime saving and have a good effect on the phase shift correction.