subtracting linear impairments for non-linear impairment digital pre-distortion error signal
    1.
    发明申请
    subtracting linear impairments for non-linear impairment digital pre-distortion error signal 有权
    减去非线性损伤数字预失真误差信号的线性损伤

    公开(公告)号:US20150236730A1

    公开(公告)日:2015-08-20

    申请号:US14185888

    申请日:2014-02-20

    CPC classification number: H04B1/0475 H03F1/3241 H04B2001/0425

    Abstract: Example embodiment of the systems and methods of linear impairment modeling to improve digital pre-distortion adaptation performance includes a DPD module that is modified during each sample by a DPD adaptation engine. A linear impairment modeling module separates the linear and non-linear errors introduced in the power amplifier. The linear impairment model is adjusted during each sample using inputs from the input signal and from a FB post processing module. The linear impairment modeling module removes the linear errors such that the DPD adaptation engine only adapts the DPD module based on the non-linear errors. This increases system stability and allows for the correction of IQ imbalance inside the linear impairment modeling, simplifying the feedback post-processing.

    Abstract translation: 用于改善数字预失真适应性能的线性损伤建模的系统和方法的示例性实施例包括在DPD适配引擎的每个采样期间修改的DPD模块。 线性损伤建模模块分离功率放大器中引入的线性和非线性误差。 在每个采样中使用输入信号和FB后处理模块的输入调整线性损伤模型。 线性损伤建模模块消除线性误差,使得DPD自适应引擎仅基于非线性误差来适应DPD模块。 这增加了系统稳定性,并允许在线性损伤建模中对IQ不平衡进行校正,从而简化了反馈后处理。

    Subtracting linear impairments for non-linear impairment digital pre-distortion error signal
    4.
    发明授权
    Subtracting linear impairments for non-linear impairment digital pre-distortion error signal 有权
    减去非线性损伤数字预失真误差信号的线性损伤

    公开(公告)号:US09136887B2

    公开(公告)日:2015-09-15

    申请号:US14185888

    申请日:2014-02-20

    CPC classification number: H04B1/0475 H03F1/3241 H04B2001/0425

    Abstract: Example embodiment of the systems and methods of linear impairment modeling to improve digital pre-distortion adaptation performance includes a DPD module that is modified during each sample by a DPD adaptation engine. A linear impairment modeling module separates the linear and non-linear errors introduced in the power amplifier. The linear impairment model is adjusted during each sample using inputs from the input signal and from a FB post processing module. The linear impairment modeling module removes the linear errors such that the DPD adaptation engine only adapts the DPD module based on the non-linear errors. This increases system stability and allows for the correction of IQ imbalance inside the linear impairment modeling, simplifying the feedback post-processing.

    Abstract translation: 用于改善数字预失真适应性能的线性损伤建模的系统和方法的示例性实施例包括在DPD适配引擎的每个采样期间修改的DPD模块。 线性损伤建模模块分离功率放大器中引入的线性和非线性误差。 在每个采样中使用输入信号和FB后处理模块的输入调整线性损伤模型。 线性损伤建模模块消除线性误差,使得DPD自适应引擎仅基于非线性误差来适应DPD模块。 这增加了系统稳定性,并允许在线性损伤建模中对IQ不平衡进行校正,从而简化了反馈后处理。

    Dynamic determination of volterra kernels for digital pre-distortion
    6.
    发明授权
    Dynamic determination of volterra kernels for digital pre-distortion 有权
    用于数字预失真的Volterra内核的动态确定

    公开(公告)号:US08804872B1

    公开(公告)日:2014-08-12

    申请号:US13752577

    申请日:2013-01-29

    CPC classification number: H04L27/368

    Abstract: A method of dynamically calculating and updating the Volterra kernels used by the Digital Pre Distortion engine based on output power, input signal bandwidth, multicarrier configuration, frequency response and power amplifier temperature. A dominant Volterra kernels searching DSP engine based on innovation bases with minimum RMS error selection is implemented to continuously update the Volterra kernels set used in DPD to model the power amplifier non linear behaviors.

    Abstract translation: 一种基于输出功率,输入信号带宽,多载波配置,频率响应和功率放大器温度动态计算和更新数字预失真引擎使用的Volterra内核的方法。 基于具有最小RMS误差选择的创新基础的主导Volterra内核搜索DSP引擎实现了持续更新DPD中使用的Volterra内核集,以对功率放大器的非线性行为进行建模。

    Dynamic Determination of Volterra Kernels for Digital Pre-Distortion
    7.
    发明申请
    Dynamic Determination of Volterra Kernels for Digital Pre-Distortion 有权
    用于数字预失真的Volterra内核的动态确定

    公开(公告)号:US20140211882A1

    公开(公告)日:2014-07-31

    申请号:US13752577

    申请日:2013-01-29

    CPC classification number: H04L27/368

    Abstract: A method of dynamically calculating and updating the Volterra kernels used by the Digital Pre Distortion engine based on output power, input signal bandwidth, multicarrier configuration, frequency response and power amplifier temperature. A dominant Volterra kernels searching DSP engine based on innovation bases with minimum RMS error selection is implemented to continuously update the Volterra kernels set used in DPD to model the power amplifier non linear behaviours.

    Abstract translation: 一种基于输出功率,输入信号带宽,多载波配置,频率响应和功率放大器温度动态计算和更新数字预失真引擎使用的Volterra内核的方法。 基于具有最小RMS误差选择的创新基础的主导Volterra内核搜索DSP引擎实现了持续更新DPD中使用的Volterra内核集,以对功率放大器的非线性行为进行建模。

Patent Agency Ranking