Intel Corporation

Evgeny Bakin

Andrey Mikhailovich Turlikov

Evgeny Pustovalov

Grigory Sergeevich Evseev

A mobile communication device to equalize a Doppler shifted received signal according to one embodiment is configured to: extract one or more pilot signals from a segment of the received signal; perform Minimum Mean Square Error (MMSE) filtering on the extracted pilot signals, wherein the filter provides estimated pilot signal impulse responses; estimate the amplitudes of one or more path components of the estimated pilot signal impulse responses; estimate the phases of one or more path components of the estimated pilot signal impulse responses; and combine the estimated amplitudes and the estimated phases of the path components of the pilot signal impulse responses, wherein the combination provides an estimated channel impulse response.

Receiver with Doppler tolerant equalization

Some demonstrative embodiments include devices, systems and/or methods of equalizing received wireless communication signals. For example, a device may include a pre-decoding equalizer to determine a plurality of filter weights by applying both a blind-equalization and a least-mean-squares (LMS) equalization to a wireless communication signal received over a wireless communication channel; a channel estimator to estimate a channel frequency response of the channel based on the filtering weights; and a turbo-equalization scheme including a decoder to decode the wireless communication signal and a turbo equalizer to equalize the decoded wireless communication signal using the estimated channel frequency response.

Frequency domain equalization for wireless communication

Methods and systems to configure a receiver based on a channel condition. A system may be implemented to estimate a channel based on PN sequences in a received signal, concurrently equalize a frequency domain representation of the signal with multiple blind adaptive equalizers, and evaluate results of the equalizations to select coefficients of one of the equalizers for further processing. A first equalizer may implement a constant-step-size (CSS) algorithm for a static channel. A second equalizer may implement a variable-step-size (VSS) algorithm for a dynamic channel. Static and dynamic channels may be distinguished based on convergence/divergence of the equalizers, which may be determined from a mean square error estimated from PN sequences in results of the blind equalizations. Subsequent processing may include linear and/or directed-decision equalization, channel estimation, and turbo equalization, which may be performed in the frequency domain, and which may be configurable based on the channel condition.

Growing community of inventors

Saint-Petersburg, Russia

Evgeny Bakin