A LOW-COMPLEXITY KALMAN FILTER CHANNEL ESTIMATOR FOR ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING SYSTEM

摘要

PURPOSE: A Kalman filter channel estimation method having low complexity in an OFDM-based system is provided to efficiently estimate a channel with a Kalman filter in a system having an inferior channel environment, and the limited power and size of a device. CONSTITUTION: Channel estimation is performed in a least-squares method according to a RS(Reference Signal) location(S10). An autoregressive model is established(S20). Error covariance propagation is performed(S30). Kalman gain is produced(S40). A channel estimation value is updated(S50). An interpolation method is performed(S60). A channel is compensated(S70). Error covariance is updated(S80).