Performance analysis of MC-CDMA channel estimation method using Kalman filter

This paper proposes the accurate MC-CDMA channel estimation method using Kalman filter with the colored driving source. The algorithm aim to achieve good performance from (i) a state equation composed of the channel gain and pilot signal, and (ii) an observation equation composed of the pilot signal, the channel gain, and the additive noise. The distinctive features of the proposed method are that (1) the channel estimation does not depend on the parameters of AR (auto-regressive) system, and (2) the maximum Doppler frequency is unknown, while conventional method utilizes AR parameters and known maximum Doppler frequency. Effectiveness of the proposed method are shown by computer simulation.