公开(公告)号：WO2003105429A1

公开(公告)日：2003-12-18

申请号：PCT/US2003/017893

申请日：2003-06-05

Applicant: QUALCOMM, INCORPORATED

Inventor： ABRISHAMKAR, Farrokh ,  BUTLER, Brian K. ,  MOHSENI, Mohammad, Jafar ,  KREUTZ-DELGADO, Kenneth

IPC: H04L25/02

CPC classification number: H04B1/7101 ,  H04B2201/70701 ,  H04L25/03076

Abstract: 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 maximum likelihood parameter estimation and generates state estimates using the Kalman filter. The calculating and generating are iteratively performed to train the Kalman filter for real-time operation.

Abstract translation: 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，该过程使用最大似然参数估计来计算参数，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。

公开(公告)号：WO2004082166A1

公开(公告)日：2004-09-23

申请号：PCT/US2004/007681

申请日：2004-03-11

Applicant: QUALCOMM INCORPORATED ,  ABRISHAMKAR, Farrokh ,  ARIYUR, Kartik, B. ,  KREUTZ-DELGADO, Kenneth

Inventor： ABRISHAMKAR, Farrokh ,  ARIYUR, Kartik, B. ,  KREUTZ-DELGADO, Kenneth

IPC: H04B1/707

CPC classification number: H04B1/707

Abstract: 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 front­end processing and despreading component for estimating an original pilot signal using a pilot estimator that includes more than one filter and that includes a switching method for using the more than one filter. The switching method uses a prediction error. 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.

Abstract translation: 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，用于使用包括多于一个滤波器的导频估计器来估计原始导频信号，并且包括使用多于一个的滤波器的切换方法。 切换方法使用预测误差。 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。

公开(公告)号：WO2003105376A3

公开(公告)日：2003-12-18

申请号：PCT/US2003/017894

申请日：2003-06-05

Applicant: QUALCOMM, INCORPORATED

Inventor： ABRISHAMKAR, Farrokh ,  KREUTZ-DELGADO, Kenneth

IPC: H04B1/707

Abstract: 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 Kalman filter to produce a pilot estimate. 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. 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(公告)号：WO2003105363A2

公开(公告)日：2003-12-18

申请号：PCT/US2003/017892

申请日：2003-06-05

Applicant: QUALCOMM, INCORPORATED

Inventor： ABRISHAMKAR, Farrokh ,  KREUTZ-DELGADO, Kenneth

IPC: H04B1/707

CPC classification number: H04B1/7101 ,  H04B2201/70701

Abstract: 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 pseudo linear regression and generates state estimates using the Kalman filter. The calculating and generating are iteratively performed to train the Kalman filter for real-time operation.

Abstract translation: 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伪线性回归计算参数，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。

公开(公告)号：WO2012122037A1

公开(公告)日：2012-09-13

申请号：PCT/US2012/027550

申请日：2012-03-02

Applicant: QUALCOMM Incorporated ,  ABRISHAMKAR, Farrokh ,  MOTAMED, Mariam ,  YAZDAN PANAH, Ali ,  SUBRAHMANYA, Parvathanathan ,  FARAJIDANA, Amir ,  KRITHIVASAN, Dinesh ,  KREUTZ-DELGADO, Kenneth

Inventor： ABRISHAMKAR, Farrokh ,  MOTAMED, Mariam ,  YAZDAN PANAH, Ali ,  SUBRAHMANYA, Parvathanathan ,  FARAJIDANA, Amir ,  KRITHIVASAN, Dinesh ,  KREUTZ-DELGADO, Kenneth

IPC: H04L25/02

CPC classification number: H04L25/0204 ,  H04L25/0228 ,  H04L25/0242

Abstract: Certain aspects of the present disclosure propose a method for estimating a channel utilizing Sparse Bayesian Learning (SBL) algorithm. The proposed method employs a Basis expansion (e.g., polynomial) channel model, and iteratively performs SBL algorithm to adjust parameters of the channel model.

Abstract translation: 本公开的某些方面提出了一种利用稀疏贝叶斯学习（SBL）算法来估计信道的方法。 所提出的方法采用基础扩展（例如，多项式）信道模型，并且迭代地执行SBL算法来调整信道模型的参数。

公开(公告)号：WO2004038947A1

公开(公告)日：2004-05-06

申请号：PCT/US2003/033659

申请日：2003-10-22

Applicant: QUALCOMM, INCORPORATED

Inventor： ABRISHAMKAR, Farrokh ,  KREUTZ-DELGADO, Kenneth

IPC: H04B1/707

CPC classification number: H04B1/707 ,  H03H21/003 ,  H04B2201/70701

Abstract: 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.

Abstract translation: 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。

公开(公告)号：WO2003105376A2

公开(公告)日：2003-12-18

申请号：PCT/US2003/017894

申请日：2003-06-05

Applicant: QUALCOMM, INCORPORATED

Inventor： ABRISHAMKAR, Farrokh ,  KREUTZ-DELGADO, Kenneth

IPC: H04B17/07

CPC classification number: H04B1/7101 ,  H04B2201/70701

Abstract: 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.

Abstract translation: 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。

公开(公告)号：WO2003105363A3

公开(公告)日：2003-12-18

申请号：PCT/US2003/017892

申请日：2003-06-05

Applicant: QUALCOMM, INCORPORATED

Inventor： ABRISHAMKAR, Farrokh ,  KREUTZ-DELGADO, Kenneth

IPC: H04B1/707

Abstract: 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 pseudo linear regression and generates state estimates using the Kalman filter. The calculating and generating are iteratively performed to train the Kalman filter for real-time operation.