| Summary: | This paper proposes a hybrid channel estimation (CE) method for orthogonal frequency division multiplexing technique for use in long-term evolution technology with application suitable for highly mobile devices, such as in passenger trains. This method, termed hybrid linear (HL) estimator, combines three different CE algorithms, namely, blocked-based least square (B-LS), fast fading-based LS (FF-LS), and linear minimum mean square error (LMMSE) estimators. This proposed estimation adaptively employs a given algorithm based on the mobility condition of the receiver. The computational complexity of HL estimator is reduced nearly to the half compared with LMMSE. The performance of proposed estimator is compared with the B-LS and FF-LS in terms of throughput and mean square error (MSE). Results show that the HL performs better than the B-LS and FF-LS in both MSE and throughput. The proposed method offers a good bit-error-rate for different velocities
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