EM-based channel estimation algorithms for OFDM
EURASIP Journal on Applied Signal Processing
A Joint OFDM Channel Estimation and ICI Cancellation for Double Selective Channels
Wireless Personal Communications: An International Journal
A Novel Technique for Channel Estimation and Equalization for High Mobility OFDM Systems
Wireless Personal Communications: An International Journal
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
Minimum mean squared error equalization using a priori information
IEEE Transactions on Signal Processing
Low-Complexity Block Turbo Equalization for OFDM Systems in Time-Varying Channels
IEEE Transactions on Signal Processing
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In time varying channels, symbol recovery for single carrier cyclic prefix (SCCP) systems becomes complicated, because the orthogonality of channel frequency response (CFR) matrix is destroyed. In response, we propose a block turbo equalization algorithm in the time domain for SCCP to cope with channel time variations. In particular, the band structure of the channel time response (CTR) matrix is exploited to reduce the computational complexity of matrix inversion. In order to use this equalization scheme, accurate channel state information (CSI) must be available. Accordingly, we present a doubly selective channel estimation method for SCCP block transmissions with the aid of a Karhunen-Loeve basis expansion model (KL-BEM). In this method, the channel estimates are firstly obtained by using the cyclic prefix (CP) of each block, and then further refined by employing an expectation maximization (EM) based iterative algorithm. Combining the iterative estimator with the proposed equalizer naturally results in a doubly iterative receiver, the performance of which is shown to come close to the performance with perfect CSI.