Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Wireless Communications Systems: Advanced Techniques for Signal Reception
Wireless Communications Systems: Advanced Techniques for Signal Reception
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
Multi-input multi-output fading channel tracking and equalizationusing Kalman estimation
IEEE Transactions on Signal Processing
Optimal training for block transmissions over doubly selective wireless fading channels
IEEE Transactions on Signal Processing
Time-Variant Channel Estimation Using Discrete Prolate Spheroidal Sequences
IEEE Transactions on Signal Processing
Iterative channel estimation for turbo equalization of time-varying frequency-selective channels
IEEE Transactions on Wireless Communications
Autoregressive modeling for fading channel simulation
IEEE Transactions on Wireless Communications
Improved bayesian MIMO channel tracking for wireless communications: incorporating a dynamical model
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
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We present a turbo (iterative) equalization receiver with fixed-lag nonlinear Kalman filtering for coded data transmission over doubly-selective channels. The proposed receiver exploits the complex exponential basis expansion model (CEBEM) for the overall channel variations, and an autoregressive (AR) model for the BEM coefficients. We extend an existing turbo equalization approach based on symbol-wise AR modeling of channels to channels based on BEM's. In the receiver an adaptive equalizer using nonlinear Kalman filters with delay is coupled with a soft-input soft-output (SISO) decoder to iteratively perform equalization and decoding. The adaptive equalizer jointly optimizes the estimates of the BEM coefficients and data symbols, thereby automatically accounting for correlation between data symbols and channel tap gains. An extrinsic information transfer (EXIT) chart analysis of the proposed approach is also presented. Simulation examples demonstrate that our CE-BEM-based approach significantly outperforms the existing symbol-wise AR model-based turbo equalizer.