KALMAN FILTER FOR CHANNEL ESTIMATION IN OFDM SYSTEMS

摘要

A scalar Kalman filter is applied for a Least-Square estimated value Hs at s. The filter has an input for receiving Hs, a filter equation and an out for the corrected estimated value Hsk for the kth variable. The filter equation is Hsk=KgainSn[k] wherein: correction Sn[k]=S+Kn(Hs-S); prediction of the correction S=KaSn[k]; Kalman filter gain Kn=P/(1+P); minimum predication MSE P=Ka2Pn[k]+Kb; minimum MSE Pn[k]=P (1-Kn); and Ka, Kgain and Kb are constants.