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    • 61. 发明申请
    • METHODS AND SYSTEMS FOR MULTI-MODEL RADIAL BASIS FUNCTION NEURAL NETWORK BASED NON-LINEAR INTERFERENCE MANAGEMENT IN MULTI-TECHNOLOGY COMMUNICATION DEVICES
    • 用于多模式径向基函数的方法和系统基于神经网络的多技术通信设备中的非线性干扰管理
    • WO2016040617A1
    • 2016-03-17
    • PCT/US2015/049403
    • 2015-09-10
    • QUALCOMM INCORPORATED
    • TU, Sheng-YuanABRISHAMKAR, FarrokhKANG, Insung
    • H04B1/525G05B13/02
    • G06N3/08H04B1/123H04J11/005
    • 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-model radial basis function neural network with Hammerstein structure by executing a radial basis function on aggressor signals at a hidden layer of the radial basis function neural network with Hammerstein structure to obtain hidden layer outputs, augmenting aggressor signal(s) by weight factors, infusing the hidden layer outputs by infusion factors, and, executing a linear combination of the augmented output, at an intermediate layer to produce a combined hidden layer outputs. At an output layer, a linear filter function may be executed on the hidden layer outputs to produce an estimated nonlinear interference used to cancel the nonlinear interference of a victim signal.
    • 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结构的多模式径向基函数神经网络来估计非线性干扰,通过在具有Hammerstein结构的径向基函数神经网络的隐层处对侵略者信号执行径向基函数以获得隐层输出,增强侵略者信号 (以重量计),通过输注因子输入隐层输出,以及在中间层处执行增强输出的线性组合以产生组合隐层输出。 在输出层,可以在隐层输出上执行线性滤波函数,以产生用于消除受害信号的非线性干扰的估计的非线性干扰。
    • 63. 发明申请
    • METHOD AND APPARATUS FOR PILOT ESTIMATION USING PREDICTION ERROR METHOD
    • 使用预测误差方法的引导估计的方法和装置
    • WO2004038947A1
    • 2004-05-06
    • PCT/US2003/033659
    • 2003-10-22
    • QUALCOMM, INCORPORATED
    • ABRISHAMKAR, FarrokhKREUTZ-DELGADO, Kenneth
    • H04B1/707
    • H04B1/707H03H21/003H04B2201/70701
    • A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver (508) and a front-end processing and despreading component (510) in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component (514) is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a pilot estimator that includes a Kalman filter to produce a pilot estimate. The Kalman filter is determined through use of a prediction error method based on an innovations representation of the original pilot signal. A demodulation component (518) is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols.
    • 公开了一种在无线通信系统中用于提供估计的导频信号的系统。 该系统包括与接收机进行电子通信以解扩CDMA信号的接收器(508)和前端处理和解扩部件(510)。 导频估计部件(514)与前端处理和解扩部件电子通信,用于使用包括卡尔曼滤波器的导频估计器来估计原始导频信号以产生导频估计。 通过使用基于原始导频信号的创新表示的预测误差方法来确定卡尔曼滤波器。 解调部件(518)与导频估计部件和用于提供解调数据符号的前端处理和解扩部件电子通信。
    • 64. 发明申请
    • METHOD AND APPARATUS FOR PILOT ESTIMATION USING A PREDICTION ERROR METHOD WITH A KALMAN FILTER AND A GAUSS-NEWTON ALGORITHM
    • 使用KALMAN滤波器和GAUSS-NEWTON算法的预测误差方法的引导估计的方法和装置
    • WO2003105376A2
    • 2003-12-18
    • PCT/US2003/017894
    • 2003-06-05
    • QUALCOMM, INCORPORATED
    • ABRISHAMKAR, FarrokhKREUTZ-DELGADO, Kenneth
    • H04B17/07
    • H04B1/7101H04B2201/70701
    • A system is disclosed for use in a wireless communication system to provide an estimated pilot signal. The system includes a receiver and a front-end processing and despreading component in electronic communication with the receiver for despreading a CDMA signal. A pilot estimation component is in electronic communication with the front-end processing and despreading component for estimating an original pilot signal using a Kalman filter to produce a pilot estimate. A demodulation component is in electronic communication with the pilot estimation component and the front-end processing and despreading component for providing demodulated data symbols. The Kalman filter is configured by an offline system identification process that calculates parameters using a prediction error method and a Gauss-Newton algorithm and generates state estimates using the Kalman filter. The calculating and generating are iteratively performed to train the Kalman filter for real-time operation.
    • 公开了一种在无线通信系统中用于提供估计的导频信号的系统。 该系统包括接收机和与接收机进行电子通信的前端处理和解扩部件,用于解扩CDMA信号。 导频估计部件与前端处理和解扩部件进行电子通信,用于使用卡尔曼滤波器估计原始导频信号以产生导频估计。 解调部件与导频估计部件以及用于提供解调数据符号的前端处理和解扩部件进行电子通信。 卡尔曼滤波器由离线系统识别过程配置,该过程使用预测误差法和高斯 - 牛顿算法计算参数,并使用卡尔曼滤波器生成状态估计。 迭代执行计算和生成以训练卡尔曼滤波器进行实时操作。