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公开(公告)号：US08912951B2
公开(公告)日：2014-12-16
申请号：US13648091
申请日：2012-10-09
Applicant: Raytheon Company
Inventor： Timothy Campbell , Theagenis J. Abatzoglou
CPC classification number: G01S7/292 , G01S13/526
Abstract: A system and method for discrimination and identification of a target including: receiving a radar return signal including target information and clutter information; determining a two-fold forward or forward-backward data matrix from the received signal, using a multi-dimensional folding (MDF) process; computing singular values of the two-fold forward or forward-backward data matrix; using the computed singular values to determine a noise power level of the radar return signal; determining the number of scatterers in the radar return signal according to a predetermined threshold value above the noise power; estimating complex Doppler and azimuth frequencies of each scatterer from the determined number of scatterers using the MDF process; determining dispersive scatterers and non-dispersive scatterers using the estimated Doppler and azimuth complex frequencies of each scatterer; and distinguishing the target information from the clutter information, according to the determined dispersive scatterers and non-dispersive scatterers.
Abstract translation: 一种用于辨别和识别目标的系统和方法，包括：接收包括目标信息和杂波信息的雷达返回信号; 使用多维折叠（MDF）处理从接收到的信号确定二倍前向或前向数据矩阵; 计算双向前向或前向 - 后向数据矩阵的奇异值; 使用计算的奇异值来确定雷达返回信号的噪声功率电平; 根据高于噪声功率的预定阈值确定雷达返回信号中散射体的数量; 使用MDF过程从确定的散射体数量估计每个散射体的复数多普勒和方位角频率; 使用估计的每个散射体的多普勒和方位复合频率来确定色散散射体和非分散散射体; 并根据确定的散射散射体和非分散散射体将目标信息与杂波信息区分开来。
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公开(公告)号：US20140218231A1
公开(公告)日：2014-08-07
申请号：US13688543
申请日：2012-11-29
Applicant: Raytheon Company
Inventor： Theagenis J. Abatzoglou , Johan E. Gonzalez , Joel K. McWilliams , Raymond Samaniego , Mark B. Yeary , Enrique A. Santiago
Abstract: A synthetic aperture radar imaging method that combines each radar return pulse with a sinusoid to reduce the radar return pulses to a baseband frequency and deskew each radar return pulse. It includes determining a maximum likelihood estimate (MLE) of residual motion parameters for a dominant scatterer on the ground relative to the airborne radar and correcting for errors in inertial navigation system measurements based on the MLE residual motion parameters. It includes convolving each radar return pulse with its corresponding radar transmission pulse to generate a range compressed image for each radar return pulse and generating a sub-band range profile image for each radar return pulse and its corresponding radar transmission pulse based on the corresponding range compressed image that has been corrected for residual motion. Performing bandwidth extrapolation on each sub-band and subsequently combining the three bands to produce an enhanced resolution image without grating lobes.
Abstract translation: 一种合成孔径雷达成像方法，将每个雷达返回脉冲与正弦波相结合，以将雷达返回脉冲降低到基带频率，并对每个雷达返回脉冲进行去偏移。 它包括确定相对于机载雷达的地面上主要散射体的残余运动参数的最大似然估计（MLE），并且基于MLE残余运动参数校正惯性导航系统测量中的误差。 它包括将每个雷达返回脉冲及其相应的雷达传输脉冲进行卷积，以产生每个雷达返回脉冲的范围压缩图像，并根据对应的压缩范围生成每个雷达返回脉冲及其对应的雷达传输脉冲的子带范围轮廓图像 残留运动已被校正的图像。 在每个子带上执行带宽外推，随后组合三个频带以产生不带光栅的增强分辨率图像。
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公开(公告)号：US09103918B2
公开(公告)日：2015-08-11
申请号：US13688543
申请日：2012-11-29
Applicant: RAYTHEON COMPANY
Inventor： Theagenis J. Abatzoglou , Johan E. Gonzalez , Joel K. McWilliams , Raymond Samaniego , Mark B. Yeary , Enrique A. Santiago
Abstract: A synthetic aperture radar imaging method that combines each radar return pulse with a sinusoid to reduce the radar return pulses to a baseband frequency and deskew each radar return pulse. It includes determining a maximum likelihood estimate (MLE) of residual motion parameters for a dominant scatterer on the ground relative to the airborne radar and correcting for errors in inertial navigation system measurements based on the MLE residual motion parameters. It includes convolving each radar return pulse with its corresponding radar transmission pulse to generate a range compressed image for each radar return pulse and generating a sub-band range profile image for each radar return pulse and its corresponding radar transmission pulse based on the corresponding range compressed image that has been corrected for residual motion. Performing bandwidth extrapolation on each sub-band and subsequently combining the three bands to produce an enhanced resolution image without grating lobes.
Abstract translation: 一种合成孔径雷达成像方法，将每个雷达返回脉冲与正弦波相结合，以将雷达返回脉冲降低到基带频率，并对每个雷达返回脉冲进行去偏移。 它包括确定相对于机载雷达的地面上主要散射体的残余运动参数的最大似然估计（MLE），并且基于MLE残余运动参数校正惯性导航系统测量中的误差。 它包括将每个雷达返回脉冲及其相应的雷达传输脉冲进行卷积，以产生每个雷达返回脉冲的范围压缩图像，并根据对应的压缩范围生成每个雷达返回脉冲及其对应的雷达传输脉冲的子带范围轮廓图像 残留运动已被校正的图像。 在每个子带上执行带宽外推，随后组合三个频带以产生不带光栅的增强分辨率图像。
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Patent Agency Ranking
公开(公告)号：US10121224B2
公开(公告)日：2018-11-06
申请号：US15222002
申请日：2016-07-28
Applicant: Raytheon Company
Inventor： J. Kent Harbaugh , Michael W. Whitt , Theagenis J. Abatzoglou
Abstract: Embodiments of a device and a frequency data extrapolator are generally described herein. The frequency data extrapolator may receive input frequency data mapped to a two-dimensional frequency grid. As an example, the input frequency data may be based on return signals received, at a sensor of the device, in response to pulsed transmissions of the sensor in a physical environment. Regions of the frequency grid may be classified as high fidelity or low fidelity. A group of basis rectangles may be determined within the high fidelity regions. A column-wise extrapolation matrix and a row-wise extrapolation matrix may be determined based on the input frequency data of the basis rectangles. The input frequency data of the high fidelity regions may be extrapolated to replace the input frequency data of the low fidelity regions.
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公开(公告)号：US20180033119A1
公开(公告)日：2018-02-01
申请号：US15222002
申请日：2016-07-28
Applicant: Raytheon Company
Inventor： J. Kent Harbaugh , Michael W. Whitt , Theagenis J. Abatzoglou
CPC classification number: G06T3/4007 , G01S7/41 , G01S13/00 , G01S13/10 , H04L67/12
Abstract: Embodiments of a device and a frequency data extrapolator are generally described herein. The frequency data extrapolator may receive input frequency data mapped to a two-dimensional frequency grid. As an example, the input frequency data may be based on return signals received, at a sensor of the device, in response to pulsed transmissions of the sensor in a physical environment. Regions of the frequency grid may be classified as high fidelity or low fidelity. A group of basis rectangles may be determined within the high fidelity regions. A column-wise extrapolation matrix and a row-wise extrapolation matrix may be determined based on the input frequency data of the basis rectangles. The input frequency data of the high fidelity regions may be extrapolated to replace the input frequency data of the low fidelity regions.
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公开(公告)号：US09335409B2
公开(公告)日：2016-05-10
申请号：US13847764
申请日：2013-03-20
Applicant: RAYTHEON COMPANY
Inventor： Theagenis J. Abatzoglou , Johan E. Gonzalez
CPC classification number: G01S13/90 , G01S7/2955 , G01S13/582 , G01S13/589 , G01S2013/9058 , G01S2013/9064
Abstract: A bistatic synthetic aperture radar (SAR) imaging system and method include: combining each radar return pulse from airborne radar platforms with a sinusoid; deskewing each reduced radar return pulse; estimating motion parameters based on a maximum likelihood estimation (MLE); performing MLE motion correction to generate motion-corrected radar return pulses; acquiring position and velocity estimates of the airborne radar platforms and scattering locations; defining bistatic range and velocity vectors; defining new bistatic range and velocity vectors in a new set of orthogonal axes; projecting vector distance differences between the radar scattering locations along the new set of orthogonal axes to generate new range and velocity measurements along the new set of orthogonal axes; converting the new range and velocity measurements to map Doppler frequency into cross-range; and forming a bistatic SAR image in range and cross-range based on cross-range extent derived from the Doppler frequency mapping.
Abstract translation: 双向合成孔径雷达（SAR）成像系统和方法包括：将来自机载雷达平台的每个雷达回波脉冲与正弦波相结合; 每个减少雷达回波脉冲的去歪斜; 基于最大似然估计（MLE）估计运动参数; 执行MLE运动校正以产生运动校正的雷达返回脉冲; 获取机载雷达平台和散射位置的位置和速度估计; 定义双向范围和速度矢量; 在一组新的正交轴中定义新的双向范围和速度矢量; 沿着新的正交轴组在雷达散射位置之间投影向量距离差，以沿着新的正交轴组生成新的范围和速度测量值; 转换新的范围和速度测量，将多普勒频率映射到交叉范围; 并基于从多普勒频谱映射导出的跨距范围，在范围和交叉范围内形成双基SAR图像。
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公开(公告)号：US20140285371A1
公开(公告)日：2014-09-25
申请号：US13847764
申请日：2013-03-20
Applicant: RAYTHEON COMPANY
Inventor： Theagenis J. Abatzoglou , Johan E. Gonzalez
IPC: G01S13/90
CPC classification number: G01S13/90 , G01S7/2955 , G01S13/582 , G01S13/589 , G01S2013/9058 , G01S2013/9064
Abstract: Embodiments of synthetic aperture radar systems for mapping Doppler frequency to cross-range to form bistatic inverse synthetic radar images of airborne targets.
Abstract translation: 用于将多普勒频率映射到交叉范围的合成孔径雷达系统的实施例，以形成机载目标的双向逆合成雷达图像。
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公开(公告)号：US20140097980A1
公开(公告)日：2014-04-10
申请号：US13648091
申请日：2012-10-09
Applicant: RAYTHEON COMPANY
Inventor： Timothy Campbell , Theagenis J. Abatzoglou
IPC: G01S13/04
CPC classification number: G01S7/292 , G01S13/526
Abstract: A system and method for discrimination and identification of a target including: receiving a radar return signal including target information and clutter information; determining a two-fold forward or forward-backward data matrix from the received signal, using a multi-dimensional folding (MDF) process; computing singular values of the two-fold forward or forward-backward data matrix; using the computed singular values to determine a noise power level of the radar return signal; determining the number of scatterers in the radar return signal according to a predetermined threshold value above the noise power; estimating complex Doppler and azimuth frequencies of each scatterer from the determined number of scatterers using the MDF process; determining dispersive scatterers and non-dispersive scatterers using the estimated Doppler and azimuth complex frequencies of each scatterer; and distinguishing the target information from the clutter information, according to the determined dispersive scatterers and non-dispersive scatterers,
Abstract translation: 一种用于辨别和识别目标的系统和方法，包括：接收包括目标信息和杂波信息的雷达返回信号; 使用多维折叠（MDF）处理从接收到的信号确定二倍前向或前向数据矩阵; 计算双向前向或前向 - 后向数据矩阵的奇异值; 使用计算的奇异值来确定雷达返回信号的噪声功率电平; 根据高于噪声功率的预定阈值确定雷达返回信号中散射体的数量; 使用MDF过程从确定的散射体数量估计每个散射体的复数多普勒和方位角频率; 使用估计的每个散射体的多普勒和方位复合频率来确定色散散射体和非分散散射体; 并根据所确定的色散散射体和非分散散射体区分目标信息与杂波信息，
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