Imec

Panasonic Corporation

Katholieke Universiteit Leuven

Andre Bourdoux

Kiyotaka Kobayashi

Hidekuni Yomo

Wim Van Thillo

Nadia Khaled

A circuit for adaptive feedback equalization is disclosed. In one aspect, the circuit includes a frequency-domain feedforward filtering section and a feedback filtering section, a slicer to slice a block of equalized symbols, a summing module for summing outputs of the filtering sections thereby yielding the block of equalized symbols. First and second updating modules provide coefficient updates to the filtering sections. The updating modules are fed with a frequency-domain converted block of error signals indicating the difference between the block of equalized symbols at the slicer input and the block of sliced symbols at the slicer output and for computing updates using the frequency-domain converted block of error signals. A time-domain compensation module receives a time-domain version of the updated filter coefficients of the feedback filtering section and symbols of the block of sliced symbols. It adds a feedback error compensation signal to the block of equalized symbols.

Frequency-domain adaptive feedback equalizer

Embodiments of the present invention relate to methods and systems of transmitting data signals from at least one transmitting terminal with a spatial diversity capability to at least two receiving user terminals, each provided with spatial diversity receiving device. The methods and systems are useful, for example, in communication between terminals, e.g., wireless communication. In certain embodiments, transmission can be between a base station and two or more user terminals, wherein the base station and user terminals are each equipped with more than one antenna.

Method and apparatus for multi-user multi-input multi-output transmission

A method for frequency domain equalization of a cyclic CPM signal received via a channel is disclosed. In one aspect, the method includes representing the received cyclic CPM signal as a matrix model comprising a channel matrix representing influence of the channel, separate from a Laurent pulse matrix and a pseudocoefficient matrix respectively representing Laurent pulses and pseudocoefficients determined by Laurent decomposition of the received cyclic CPM signal. The method may further include applying a channel equalizer on the separate channel matrix and after the equalization. It may further include demodulating the received cyclic CPM signal by the matrix model, the demodulation exploiting known correlation properties of the Laurent pulses and the pseudocoefficients.

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Esneux, Belgium

Andre Bourdoux