Huawei Technologies Co., Limited

Xiangming Kong

Kin Nang Lau

Hufei Zhu

Xiongbin Rao

An Ling Liu

Embodiments of the present invention provide a signal processing method and a base station. By using respective sparse characteristics of a user signal and an interference signal, the user signal and the interference signal are iteratively recovered, that is, the interference signal is first fastened, and the user signal is recovered; and then the user signal is fastened, and the interference signal is recovered. In this way, an iteration cycle is repeated until the recovered user signal and the recovered interference signal meet a preset condition, thereby effectively improving interference cancellation performance, achieving relatively good interference suppression.

Signal processing method and base station

The present invention provides a channel measurement method, a channel measurement apparatus, user equipment. A wireless communications system includes a channel measurement apparatus and at least two user equipments. The method includes: sending, by the channel measurement apparatus, an antenna domain training sequence to the at least two user equipments; receiving, by the channel measurement apparatus, channel response measurement sequences sent by the at least two user equipments, where the channel response measurement sequences are sequences that are obtained after the antenna domain training sequence passes through channels and that are received by the at least two user equipments; and performing, by the channel measurement apparatus, joint processing on the received channel response measurement sequences of the at least two user equipments to obtain downlink channel state information CSIT.

Channel measurement method, channel measurement apparatus, user equipment, and system

The present invention relates to a compressive sensing-based signal processing method and apparatus. The method includes: determining distribution, of signal components of an input signal on which frequency mixing has been performed, in a baseband spectrum according to spectral distribution of the input signal; dividing the baseband spectrum according to different signal aliasing patterns formed by the distribution of the signal components, to form multiple frequency bands; determining lowest sampling frequency of the input signal according to the signal aliasing patterns in the frequency bands, and performing sampling on the input signal at sampling frequency greater than the lowest sampling frequency, to obtain a sampled signal; and separately restoring a corresponding signal component in each frequency band of the multiple frequency bands according to the sampled signal, and splicing the signal components restored in the frequency bands, to complete restoration of the input signal.

Compressive sensing-based signal processing method and apparatus

The present invention discloses a multiband signal processing apparatus and method. The apparatus includes a multi-tone local oscillator signal generating unit and a multi-tone local oscillator signal transmission channel, where the multi-tone local oscillator signal transmission channel includes a band-pass filter and a frequency mixer. The multi-tone local oscillator signal generating unit is configured to generate a multi-tone local oscillator signal according to frequency response information of at least one device included in the multi-tone local oscillator signal transmission channel; the band-pass filter is configured to filter the received multi-tone local oscillator signal to obtain a filtered multi-tone local oscillator signal; and the frequency mixer is configured to perform frequency mixing on the multiband signal and the received multi-tone local oscillator signal.

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Shenzhen, China

Xiangming Kong