Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
OFDM for Wireless Multimedia Communications
OFDM for Wireless Multimedia Communications
Microwave Mobile Communications
Microwave Mobile Communications
A comparison of pilot-aided channel estimation methods for OFDMsystems
IEEE Transactions on Signal Processing
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
Transmission techniques for digital terrestrial TV broadcasting
IEEE Communications Magazine
Karhunen-Loeve expansion of the WSSUS channel output and its application to efficient simulation
IEEE Journal on Selected Areas in Communications
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Signal Processing
Iterative Decomposed OFDM Channel Estimation Algorithm Over Highly Mobile Channels
Wireless Personal Communications: An International Journal
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This paper first proposes a computationally efficient, pilot-aided linear minimum mean square error (MMSE) batch channel estimation algorithm for OFDM systems in unknown wireless fading channels. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and finds MMSE estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion, no matrix inversion is required in the proposed MMSE estimator. Moreover, optimal rank reduction is achieved by exploiting the optimal truncation property of the KL expansion resulting in a smaller computational load on the estimation algorithm. The performance of the proposed approach is studied through analytical and experimental results. We then consider the stochastic Cramér-Rao bound and derive the closed-form expression for the random KL coefficients and consequently exploit the performance of the MMSE channel estimator based on the evaluation of minimum Bayesian MSE. We also analyze the effect of a modelling mismatch on the estimator performance. To further reduce the complexity, we extend the batch linear MMSE to the sequential linear MMSE estimator. With the fast convergence property and the simple structure, the sequential linear MMSE estimator provides an attractive alternative to the implementation of channel estimator.