Joint Detection Algorithm Based on Klman Filter
Sun Ye-gong · Information Security and Communications Privacy · 2010
There are many effective joint detection alorithms involved in the TD-SCDMA system.The conventional Kalman filterbased joint detection is mainly used in practical communication systems with inexact noise model.However,when the input white noise is far larger than the estimated,and with the increase of iterations number,the conventional Kalman filter joint detection algorithm would give rise to divergence problem,thus resulting in poor performance.To address this flaw,some modification on the noise model could realize fast convergence of the conventional Kalman filter joint detection,and thus suppress the divergence.