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    • 1. 发明授权
    • Multistatic adaptive pulse compression method and system
    • 多重自​​适应脉冲压缩方法及系统
    • US07474257B2
    • 2009-01-06
    • US11268755
    • 2005-11-07
    • Shannon D BluntKarl R Gerlach
    • Shannon D BluntKarl R Gerlach
    • G01S13/00G01S13/08
    • G01S7/292G01S13/282
    • A radar receiver system includes a receiver, a processor, and a detector. The processor is programmed with a Multistatic Adaptive Pulse Compression (MAPC) algorithm for estimating adaptively a pulse compression filter, for each range cell of a plurality of range cells, and for each of a plurality of radar return signals, to remove interference between the radar return signals. MAPC may also include reiterative minimum mean-square error estimation for applying to each of the range cells in order to adaptively estimate a unique pulse compression filter for each cell. MAPC adaptively mitigates the masking problem that results from the autocorrelation of a waveform which produces range sidelobes scaled by the target amplitudes as well as the cross-correlation between waveforms. MAPC can also be applied when only 1 or some subset of the available illuminated radar range profiles are desired, with undesired information then discarded.
    • 雷达接收机系统包括接收机,处理器和检测器。 处理器用多点自适应脉冲压缩(MAPC)算法编程,用于针对多个范围单元的每个范围单元以及多个雷达返回信号中的每一个来自适应地估计脉冲压缩滤波器,以消除雷达之间的干扰 返回信号。 MAPC还可以包括用于应用于每个范围单元的重复最小均方误差估计,以便自适应地估计每个单元的唯一脉冲压缩滤波器。 MAPC自适应地减轻由产生由目标幅度缩放的范围旁瓣的波形的自相关产生的掩蔽问题以及波形之间的互相关。 当仅需要可用的照明雷达范围简档的1个或某些子集时,也可以应用MAPC,然后丢弃不期望的信息。
    • 3. 发明申请
    • SOURCE AFFINE RECONSTRUCTION FOR MEDICAL IMAGING
    • 用于医学成像的资源重建
    • US20090182220A1
    • 2009-07-16
    • US12335434
    • 2008-12-15
    • Shannon D. BluntMihai PopescuTsz Ping Chan
    • Shannon D. BluntMihai PopescuTsz Ping Chan
    • A61B5/05A61B5/0476
    • G06T11/006
    • Performing medical imaging. The generation of medical images, which includes a Source AFFine Image REconstruction (SAFFIRE) algorithm, is based on an iterative implementation of minimum mean-square error (MMSE) estimation within an affine-transformed solution space and utilizes a matched filter bank initialization coupled with energy normalization of each successive estimate. An incoherent integration technique provides an alternative implementation strategy to either increase signal-to-noise ratio (SNR) or generalize the estimator to accommodate temporally-separated interference sources. In addition, the estimator solution may be employed to determine volumetric constraints with which to re-apply the estimator to further improve the estimation accuracy.
    • 进行医学影像 包含源AFFine Image REconstruction(SAFFIRE)算法的医学图像的生成基于仿射变换解空间内的最小均方误差(MMSE)估计的迭代实现,并利用匹配的滤波器组初始化与 每次连续估计的能量归一化。 非相干积分技术提供了替代实施策略,以增加信噪比(SNR)或推广估计器以适应时间上分离的干扰源。 另外,可以使用估计器解决方案来确定用于重新应用估计器的体积约束,以进一步提高估计精度。
    • 4. 发明授权
    • Method and apparatus for detecting slow-moving targets in high-resolution sea clutter
    • 用于检测高分辨率海杂波中慢速移动目标的方法和装置
    • US07286079B2
    • 2007-10-23
    • US11110737
    • 2005-04-21
    • Shannon D. BluntKarl R. Gerlach
    • Shannon D. BluntKarl R. Gerlach
    • G01S7/292G01S13/52G01S13/534
    • G01S7/2927G01S7/414
    • An apparatus for non-coherently detecting slow-moving targets in high resolution sea clutter includes a binary detector for converting high resolution radar returns, produced in response to a radar pulse scan of a plurality of identical pulses, into corresponding binary outputs based on a comparison of range cell magnitudes with a detector threshold. A range extent filter converts these binary outputs into an output indicating the presence or absence of a cluster of the returns that are closely spaced in range, while a third, persistence integration stage determines target range extent persistence over a predetermined time period. A detector stage declares detection of a target based on a comparison of the output of the third stage with a selected threshold.
    • 用于在高分辨率海杂波中非相干检测慢移目标的装置包括用于将响应于多个相同脉冲的雷达脉冲扫描产生的高分辨率雷达返回转换为基于比较的相应二进制输出的二进制检测器 具有检测器阈值的范围单元幅度。 范围范围过滤器将这些二进制输出转换成指示存在或不存在距离范围紧密间隔的返回的集合的输出,而第三持续集成级在预定时间段内确定目标范围持续时间。 检测器级基于第三级的输出与所选择的阈值的比较来声明对目标的检测。
    • 5. 发明授权
    • Computationally efficient adaptive radar pulse compression system
    • 计算效率高的自适应雷达脉冲压缩系统
    • US07602331B2
    • 2009-10-13
    • US11837243
    • 2007-08-10
    • Shannon D. BluntThomas Higgins
    • Shannon D. BluntThomas Higgins
    • G01S13/28G01S13/526G01S7/292G01S13/00G01S7/00
    • G01S13/284
    • One aspect of this disclosure relates to a method for processing a received, modulated radar pulse to resolve a radar target from noise or other targets. According to an embodiment of the method, a radar return signal is received and samples of the radar return signal are obtained. A minimum mean-square error (MMSE) pulse compression filter is determined for each successive sample. The MMSE filter is separated into a number of components using contiguous blocking, where each component includes a piecewise MMSE pulse compression filter segment. An estimate of radar range profile is obtained from an initialization stage or a previous stage. The piecewise MMSE pulse compression filter segments are applied to improve accuracy of the estimate. The estimate is repeated for two or three stages to adaptively suppress range sidelobes to a level of a noise floor. Other aspects and embodiments are provided herein.
    • 本公开的一个方面涉及一种用于处理接收的调制雷达脉冲以从噪声或其他目标解析雷达目标的方法。 根据该方法的实施例,接收雷达返回信号,并获得雷达返回信号的采样。 确定每个连续样本的最小均方误差(MMSE)脉冲压缩滤波器。 MMSE滤波器使用连续的阻塞被分成多个组件,其中每个组件包括分段MMSE脉冲压缩滤波器段。 从初始化阶段或前一阶段获得雷达距离轮廓的估计。 应用分段MMSE脉冲压缩滤波器段来提高估计的准确度。 重复估计两到三个阶段以自适应地将范围旁瓣抑制到噪声底层的水平。 本文提供了其它方面和实施例。
    • 6. 发明授权
    • Radar processor system and method
    • 雷达处理器系统及方法
    • US07193558B1
    • 2007-03-20
    • US10943647
    • 2004-09-02
    • Karl R. GerlachShannon D. Blunt
    • Karl R. GerlachShannon D. Blunt
    • G01S13/88
    • G01S13/5246G01S7/295
    • An adaptive radar processing system includes an antenna array for transmitting a radar signal and for receiving a return radar signal, and a signal processor programmed with an enhanced FRACTA algorithm (FRACTA.E). The basic FRACTA algorithm is enhanced to FRACTA.E with (any or all of) five enhancements, versions 1–5. Version 1 is a stopping criterion, for censoring samples, that is adaptive to a radar return data set. The inclusion of a stopping criterion improves the computational speed of FRACTA.E thereby improving its efficiency. Version 2 uses global censoring. Version 3 uses fast reiterative censoring. Version 4 uses segmenting of data vectors for AMF application. Version 5 uses Knowledge-aided covariance estimation (KACE) to reduce the required sample support that may be necessary in non-homogeneous environments, providing substantially the same level of detection performance with considerably less training data.
    • 自适应雷达处理系统包括用于发送雷达信号并用于接收返回雷达信号的天线阵列,以及用增强的FRACTA算法(FRACTA.E)编程的信号处理器。 使用(任何或全部)5个增强版本1-5来增强FRACTA.E的基本FRACTA算法。 版本1是用于检查样本的停止标准,适用于雷达返回数据集。 包含停止标准提高了FRACTA.E的计算速度,从而提高了其效率。 版本2使用全局审查。 版本3使用快速重复审查。 版本4使用AMF应用程序的数据向量分段。 版本5使用知识辅助协方差估计(KACE)来减少在非均匀环境中可能需要的样本支持,提供与相当少的训练数据基本相同的检测性能。
    • 8. 发明授权
    • Doppler-compensated radar pulse compression processing system and method
    • 多普勒补偿雷达脉冲压缩处理系统及方法
    • US07439906B1
    • 2008-10-21
    • US11626931
    • 2007-01-25
    • Shannon D BluntKarl R GerlachKevin J Smith
    • Shannon D BluntKarl R GerlachKevin J Smith
    • G01S13/90
    • G01S13/28G01S13/9035
    • A radar receiver system includes a receiver, a processor including a Doppler Compensated Adaptive Pulse Compressor (DCAPC) algorithm, possible other intermediate processing and a target detector. The DCAPC algorithm processes samples of a radar return signal, applies Minimum Mean Square Error (MMSE), or alternatively matched filtering, to the radar return signal to obtain initial radar impulse response estimates, computes power estimates, estimates a range cell Doppler shift for each range cell, computes range-dependent filters, applies the MMSE filters, and then repeats the cycle for subsequent reiterative stages until a desired length−L range window is reached, thereby resolving the scatterer from noise and other scatterers.
    • 雷达接收机系统包括接收器,包括多普勒补偿自适应脉冲压缩器(DCAPC)算法,可能的其它中间处理和目标检测器的处理器。 DCAPC算法处理雷达返回信号的样本,将最小均方误差(MMSE)或可选的匹配滤波应用于雷达返回信号,以获得初始雷达脉冲响应估计,计算功率估计,估计每个信号的范围单元多普勒频移 距离单元,计算范围依赖滤波器,应用MMSE滤波器,然后重复该循环用于后续的重复级,直到达到期望的长度L范围窗口,从而从散射体和噪声等分辨散射体。
    • 9. 发明授权
    • Source affine reconstruction for medical imaging
    • 用于医学影像的源仿射重建
    • US08433388B2
    • 2013-04-30
    • US12335434
    • 2008-12-15
    • Shannon D. BluntMihai PopescuTsz Ping Chan
    • Shannon D. BluntMihai PopescuTsz Ping Chan
    • A61B5/05
    • G06T11/006
    • Performing medical imaging. The generation of medical images, which includes a Source AFFine Image REconstruction (SAFFIRE) algorithm, is based on an iterative implementation of minimum mean-square error (MMSE) estimation within an affine-transformed solution space and utilizes a matched filter bank initialization coupled with energy normalization of each successive estimate. An incoherent integration technique provides an alternative implementation strategy to either increase signal-to-noise ratio (SNR) or generalize the estimator to accommodate temporally-separated interference sources. In addition, the estimator solution may be employed to determine volumetric constraints with which to re-apply the estimator to further improve the estimation accuracy.
    • 进行医学影像 包含源AFFine Image REconstruction(SAFFIRE)算法的医学图像的生成基于仿射变换解空间内的最小均方误差(MMSE)估计的迭代实现,并利用匹配的滤波器组初始化与 每次连续估计的能量归一化。 非相干积分技术提供了替代实施策略,以增加信噪比(SNR)或推广估计器以适应时间上分离的干扰源。 另外,可以使用估计器解决方案来确定用于重新应用估计器的体积约束,以进一步提高估计精度。