The Algorithm of Blind MLSE Based on Newton Gradient
Xing Chen · Journal of Taiyuan University of Technology · 2008
The algorithm of blind MLSE based on Newton gradient is an efficient algorithm tracing fast time-varying channel.Because the convergence speed of LMS algorithm is slow,so blind MLSE based on Newton gradient algorithm is proposed.Newton gradient algorithm ——a new correlation function adaptive filtering algorithm is proposed by replacing the previous gradient estimation with the current gradient estimation and using the matrix inversion lemma.It is analyzed the principle of blind MLSE based on Newton gradient algorithm in this paper.The simulation results and the theoretical analysis show the improved performance of the convergence speed compared with LMS blind MLSE algorithm.