Discrete Random Signals and Statistical Signal Processing
Discrete Random Signals and Statistical Signal Processing
Error Control Coding, Second Edition
Error Control Coding, Second Edition
Wireless Communications
Turbo equalization with channel prediction and iterative channel estimation
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
IEEE Transactions on Communications
Soft input channel estimation for turbo equalization
IEEE Transactions on Signal Processing - Part I
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
Predictive downlink beamforming for wideband CDMA over Rayleigh-fading channels
IEEE Transactions on Wireless Communications
An improved block equalization scheme for uncertain channel estimation
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Improved BDFE Using A Priori Information for Turbo Equalization
IEEE Transactions on Wireless Communications
Serial concatenation of interleaved codes: performance analysis, design, and iterative decoding
IEEE Transactions on Information Theory
Turbo equalization: adaptive equalization and channel decoding jointly optimized
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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Turbo equalization that cooperates with channel prediction and iterative channel estimation is investigated for mobile wireless communications. Frames of information bits are encoded, interleaved, and mapped to symbols for transmission over time-varying frequency-selective fading channels. At the receiver, the Turbo equalizer consists of a maximum a posteriori probability equalizer/demapper and a soft-input soft-output maximum a posteriori probability decoder. With initial channel estimates and sparse pilot insertion across a number of frames, the receiver predicts the channel of the current frame. The effect of error propagation of channel prediction is mitigated by the de-interleaver that is embedded in the Turbo equalizer. The predicted and interpolated channel is refined through a channel estimator that uses the soft estimates of data symbols at each Turbo iteration. Due to the bandlimiting feature of channel variation, the channel estimation error can be smoothed by low-pass filters that follow the channel estimator. Simulation results show that incorporating Turbo equalization with channel prediction and iterative channel estimation can combat time- and frequency-selective fading and improve reception performance.