Signal Processing Advances in Wireless and Mobile Communications, Volume 2: Trends in Single- And Multi-User Systems
Microwave Mobile Communications
Microwave Mobile Communications
A least-squares approach to blind channel identification
IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
On-line blind multichannel equalization based on mutually referenced filters
IEEE Transactions on Signal Processing
Direct blind equalizers of multiple FIR channels: a deterministicapproach
IEEE Transactions on Signal Processing
Blind identification of time-varying channels using multistep linear predictors
IEEE Transactions on Signal Processing
Optimal training for block transmissions over doubly selective wireless fading channels
IEEE Transactions on Signal Processing
Deterministic approaches for blind equalization of time-varyingchannels with antenna arrays
IEEE Transactions on Signal Processing
Time-varying FIR equalization for doubly selective channels
IEEE Transactions on Wireless Communications
A subspace algorithm for certain blind identification problems
IEEE Transactions on Information Theory
Blind multiuser detection: a subspace approach
IEEE Transactions on Information Theory
Maximum-diversity transmissions over doubly selective wireless channels
IEEE Transactions on Information Theory
Orthogonal multiple access over time- and frequency-selective channels
IEEE Transactions on Information Theory
IEEE Transactions on Wireless Communications
Doubly selective channel estimation using exponential basis models and subblock tracking
IEEE Transactions on Signal Processing
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We propose channel estimation and direct equalization techniques for transmission over doubly selective channels. The doubly selective channel is approximated using the basis expansion model (BEM). Linear and decision feedback equalizers implemented by time-varying finite impulse response (FIR) filtersmay then be used to equalize the doubly selective channel, where the time-varying FIR filters are designed according to the BEM. In this sense, the equalizer BEM coefficients are obtained either based on channel estimation or directly. The proposed channel estimation and direct equalization techniques range from pilot-symbol-assisted-modulation- (PSAM-) based techniques to blind and semiblind techniques. In PSAM techniques, pilot symbols are utilized to estimate the channel or directly obtain the equalizer coefficients. The training overhead can be completely eliminated by using blind techniques or reduced by combining training-based techniques with blind techniques resulting in semiblind techniques. Numerical results are conducted to verify the different proposed channel estimation and direct equalization techniques.