DIGITAL PREDISTORTION PROCESSING METHOD AND APPARATUS

    公开(公告)号:US20190280730A1

    公开(公告)日:2019-09-12

    申请号:US16424500

    申请日:2019-05-29

    Abstract: This application relates to the field of communications technologies, and in particular, to a digital predistortion processing method and apparatus. This application provides a digital predistortion processing method and apparatus. Digital predistortion processing of a multichannel power amplifier is supported through deprecoding processing by using one feedback link and one digital predistortion processor. In addition, after being amplified by a power amplifier, a precoded signal is fed back to the feedback link for predistortion parameter calculation, to improve quality of a transmit signal. The digital predistortion processing method and apparatus that are provided in embodiments of this application are intended to improve output linearity and efficiency of a multi-transmit-channel power amplifier while reducing implementation costs and complexity of a transmit device, and further improve overall system performance.

    METHOD FOR DETERMINING CALIBRATION PARAMETER OF ZERO INTERMEDIATE FREQUENCY RADIO RECEIVER, AND ZERO INTERMEDIATE FREQUENCY RADIO RECEIVER

    公开(公告)号:US20180294900A1

    公开(公告)日:2018-10-11

    申请号:US16009571

    申请日:2018-06-15

    CPC classification number: H04B17/21 H04B1/0071 H04L27/38

    Abstract: A method for determining a calibration parameter of a zero intermediate frequency radio receiver, and a zero intermediate frequency radio receiver are provided. The method includes: obtaining a plurality of sub-band training signals, where a sum of the plurality of sub-band training signals is a fullband training signal; determining a sub-band calibration parameter corresponding to each of the plurality of sub-band training signals; determining a fullband calibration signal according to the plurality of sub-band training signals and the sub-band calibration parameter corresponding to each of the plurality of sub-band training signals; and performing coefficient fitting on the fullband training signal and the fullband calibration signal, to determine a fullband calibration parameter. Because sub-band calibration parameters are obtained according to a plurality of different sub-band training signals, aliasing between an image signal and a training signal is reduced. Therefore, a speed and precision of determining a calibration parameter can be improved.

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