Multirate systems and filter banks
Multirate systems and filter banks
Minimum redundancy for ISI free FIR filterbank transceivers
IEEE Transactions on Signal Processing
Redundant filterbank precoders and equalizers. I. Unification andoptimal designs
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Max-SINR ISI/ICI-Shaping Multicarrier Communication Over the Doubly Dispersive Channel
IEEE Transactions on Signal Processing
Low-complexity equalization of OFDM in doubly selective channels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Fast techniques for computing finite-length MIMO MMSE decision feedback equalizers
IEEE Transactions on Signal Processing
Iterative channel estimation for turbo equalization of time-varying frequency-selective channels
IEEE Transactions on Wireless Communications
Iterative interference cancellation and channel estimation for mobile OFDM
IEEE Transactions on Wireless Communications
ICI mitigation for pilot-aided OFDM mobile systems
IEEE Transactions on Wireless Communications
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High Doppler effects resulting from fast time varying dispersive channels give rise to the so-called intercarrier interference, whose accurate modeling for data recovery is paramount. We present a novel turbo estimation scheme based on a known linearized model of the time varying channel via its derivatives. The derivatives estimation is adaptive, in the sense that at each turbo estimation it incorporates information on previously estimated parameters. This is combined with a decision-directed scheme implemented at bit level with soft decision. We show that any pilot based scheme that is able to induce a Toeplitz structure in the channel correlation matrix, can make use of an existing class of so-called superfast algorithms for minimum mean-square error (MMSE) channel estimation. Given a structure for the vector of pilots and an upper bound for the channel delay spread, say N, we show that it is only necessary to store 2N coefficients per pilot structure in order to recover the entire channel parameters. We bring attention to the fact that either for static or slowly varying channels, any Toeplitz-like model can yield a superfast equalization method as well, and show how fast order recursive algorithms can be combined to a superfast receiver structure, in order to yield both efficient equalizer computation and equalization.