公开(公告)号：US20160072543A1

公开(公告)日：2016-03-10

申请号：US14849532

申请日：2015-09-09

Applicant: QUALCOMM Incorporated

Inventor： Farrokh Abrishamkar ,  Sheng-Yuan Tu ,  Parisa Cheraghi ,  lnsung Kang ,  Jeremy Stein

IPC: H04B1/40 ,  H04B15/00

CPC classification number: H04B1/40 ,  H04B1/123 ,  H04B1/525 ,  H04B15/00

Abstract: The various embodiments include methods and apparatuses for canceling nonlinear interference during concurrent communication of multi-technology wireless communication devices. Nonlinear interference may be estimated using a multi-layer perceptron neural network with Hammerstein structure by dividing an aggressor signal into real and imaginary components, augmenting the components by weight factors, executing a linear combination of the augmented components, and executing a nonlinear sigmoid function for the combined components at a hidden layer of multi-layer perceptron neural network to produce a hidden layer output signal. At an output layer, hidden layer output signals may be augmented by weight factors, and the augmented hidden layer output signals may be linearly combined to produce real and imaginary components of an estimated jammer signal. A linear filter function may be executed for the components of the jammer signal, and to produce a nonlinear interference estimate used to cancel the nonlinear interference of a victim signal.

Abstract translation: 各种实施例包括用于在多技术无线通信设备的并发通信期间消除非线性干扰的方法和装置。 可以使用具有Hammerstein结构的多层感知器神经网络来估计非线性干扰，通过将侵略者信号划分成实部和虚部，通过权重因子增加分量，执行增强分量的线性组合，以及执行非线性Sigmoid函数 组合成分在隐层多层感知神经网络中产生隐层输出信号。 在输出层，可以通过加权因子来增加隐层输出信号，并且增强的隐层输出信号可以被线性组合以产生估计的干扰信号的实部和虚部。 可以对干扰信号的分量执行线性滤波器功能，并且产生用于消除受害信号的非线性干扰的非线性干扰估计。