A Recursive Approach of Combined Optimization to Sequence Detection of SIMO Channels
Zhiyong Zhang · Journal of Nanjing Institute of Posts and Telecommunications · 2005
Conventional blind equalization algorithms are based on high-order statistics or on the over-sampled channel output, but these algorithms couldn't be practically applied in time-varying environment. Different from present adaptive equalization algorithms based on LMS and RLS, this paper proposes a new recursive algorithm of combined optimization to blindly detect the sequence of single-input multiple-output (SIMO) channels. This algorithm is based on the information of finite alphabet. Simulation results show that this approach delivers rapid convergence and low steady-state error.