公开(公告)号：US20090182220A1

公开(公告)日：2009-07-16

申请号：US12335434

申请日：2008-12-15

申请人： Shannon D. Blunt ,  Mihai Popescu ,  Tsz Ping Chan

发明人： Shannon D. Blunt ,  Mihai Popescu ,  Tsz Ping Chan

IPC分类号： A61B5/05 ,  A61B5/0476

CPC分类号： G06T11/006

摘要： 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.

摘要翻译： 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。

公开(公告)号：US08433388B2

公开(公告)日：2013-04-30

申请号：US12335434

申请日：2008-12-15

申请人： Shannon D. Blunt ,  Mihai Popescu ,  Tsz Ping Chan

发明人： Shannon D. Blunt ,  Mihai Popescu ,  Tsz Ping Chan

IPC分类号： A61B5/05

CPC分类号： G06T11/006

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20080131133A1

公开(公告)日：2008-06-05

申请号：US11750080

申请日：2007-05-17

申请人： Shannon D. Blunt ,  Daniel D. Deavours ,  Ronald M. Barrett-Gonzalez ,  Christopher T. Allen

发明人： Shannon D. Blunt ,  Daniel D. Deavours ,  Ronald M. Barrett-Gonzalez ,  Christopher T. Allen

IPC分类号： H04B10/00

CPC分类号： G01S13/758

摘要： A method and system for a device to embed a low signal to interference plus noise ratio (SINR) communications signal into the backscatter of an illuminating signal. The illuminating signal may be acoustic or electromagnetic (EM) such as radio frequency (RF), light, or infrared (IR). The embedded communications signal may be recovered at a desired receiver.

摘要翻译： 一种用于将低信号与干扰加噪声比（SINR）通信信号嵌入到照明信号的后向散射中的装置的方法和系统。 照明信号可以是诸如射频（RF），光或红外（IR）的声或电磁（EM）。 可以在期望的接收机处恢复嵌入式通信信号。

公开(公告)号：US07286079B2

公开(公告)日：2007-10-23

申请号：US11110737

申请日：2005-04-21

申请人： Shannon D. Blunt ,  Karl R. Gerlach

发明人： Shannon D. Blunt ,  Karl R. Gerlach

IPC分类号： G01S7/292 ,  G01S13/52 ,  G01S13/534

CPC分类号： G01S7/2927 ,  G01S7/414

摘要： 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.

摘要翻译： 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。

公开(公告)号：US07602331B2

公开(公告)日：2009-10-13

申请号：US11837243

申请日：2007-08-10

申请人： Shannon D. Blunt ,  Thomas Higgins

发明人： Shannon D. Blunt ,  Thomas Higgins

IPC分类号： G01S13/28 ,  G01S13/526 ,  G01S7/292 ,  G01S13/00 ,  G01S7/00

CPC分类号： G01S13/284

摘要： 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.

摘要翻译： 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。

公开(公告)号：US07193558B1

公开(公告)日：2007-03-20

申请号：US10943647

申请日：2004-09-02

申请人： Karl R. Gerlach ,  Shannon D. Blunt

发明人： Karl R. Gerlach ,  Shannon D. Blunt

IPC分类号： G01S13/88

CPC分类号： G01S13/5246 ,  G01S7/295

摘要： 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.

摘要翻译： 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。

公开(公告)号：US07106250B2

公开(公告)日：2006-09-12

申请号：US10947784

申请日：2004-09-23

申请人： Shannon D. Blunt ,  Karl R. Gerlach

发明人： Shannon D. Blunt ,  Karl R. Gerlach

IPC分类号： G01S7/292 ,  G01S7/32 ,  G01S13/90 ,  G01S13/00

CPC分类号： G01S7/2921 ,  G01S13/284 ,  G01S13/9094

摘要： A method for processing a received, modulated pulse (i.e. waveform) that requires predictive deconvolution to resolve a scatterer from noise and other scatterers includes receiving a return signal; obtaining L+(2M−1)(N−1) samples y of the return signal, where y(l)={tilde over (x)}T(l) s+v(l); applying RMMSE estimation to each successive N samples to obtain initial impulse response estimates [{circumflex over (x)}1{−(M−1)(N−1)}, . . . , {circumflex over (x)}1{−1}, {circumflex over (x)}1 {0}, . . . , {circumflex over (x)}1{L−1}, . . . , {circumflex over (x)}1{L}, {circumflex over (x)}1{−1 +(M−1)(N−1)}]; computing power estimates {circumflex over (ρ)}1(l)=|{circumflex over (x)}1(l)|α for l=−(M−1)(N−1), . . . , L−1+(M−1)(N−1) and 0

公开(公告)号：US07212150B2

公开(公告)日：2007-05-01

申请号：US11110736

申请日：2005-04-21

申请人： Shannon D. Blunt ,  Karl R. Gerlach

发明人： Shannon D. Blunt ,  Karl R. Gerlach

IPC分类号： G01S13/534

CPC分类号： G01S13/5244 ,  G01S7/2927

摘要： A method is provided for detecting a target signal of a specific known form in the presence of clutter. The method includes dividing a set of initial training data, derived from returns from a burst of identical pulses, into a set of censored data and a set of uncensored data. A covariance matrix estimate, based on the uncensored data, is used to compute adaptive coherence estimate values, and an average adaptive coherence estimate threshold level is computed for each Doppler band to obtain a corresponding threshold. The censored data and the covariance matrix estimate are used to compute adaptive coherence estimate values for the uncensored data for each Doppler band, and these values are compared with the respective thresholds to determine the presence or absence of the target signal.

摘要翻译： 提供了一种用于在存在杂波的情况下检测特定已知形式的目标信号的方法。 该方法包括将来自相同脉冲的脉冲串的返回的一组初始训练数据划分成一组被检查的数据和一组未经审查的数据。 使用基于未经审查的数据的协方差矩阵估计来计算自适应相干估计值，并且针对每个多普勒频带计算平均自适应相干估计阈值水平以获得相应的阈值。 被检查数据和协方差矩阵估计用于计算每个多普勒频带的未经审查数据的自适应相干估计值，并且将这些值与各个阈值进行比较以确定目标信号的存在或不存在。

公开(公告)号：US06940450B2

公开(公告)日：2005-09-06

申请号：US10673343

申请日：2003-09-30

申请人： Shannon D. Blunt ,  Karl R. Gerlach

发明人： Shannon D. Blunt ,  Karl R. Gerlach

IPC分类号： G01S7/292 ,  G01S13/28 ,  G01S7/32 ,  G01S13/00

CPC分类号： G01S7/2921 ,  G01S13/284

摘要： A method for processing a received, modulated pulse (i.e. waveform) that requires predictive deconvolution to resolve a scatterer from noise and other scatterers includes receiving a return signal; obtaining L+(2M−1)(N−1) samples y of the return signal, where y(l)={tilde over (x)}T(l)s+v(l); applying RMMSE estimation to each successive N samples to obtain initial impulse response estimates [{circumflex over (x)}1{−(M−1)(N−1)}, . . . , {circumflex over (x)}1{−1}, {circumflex over (x)}1{0}, . . . , {circumflex over (x)}1{L−1}, {circumflex over (x)}1{L}, . . . , {circumflex over (x)}1{L−1+(M−1)(N−1)}]; computing power estimates {circumflex over (ρ)}1(l)=|{circumflex over (x)}1(l)|2 for l=−(M−1)(N−1), . . . , L−1+(M−1)(N−1); computing MMSE filters according to w(l)=ρ(l)(C(l)+R)−1s, where ρ(l)=|x(l)|2 is the power of x(l), and R=E[v(l)vH(l)] is the noise covariance matrix; applying the MMSE filters to y to obtain [{circumflex over (x)}2{−(M−2)(N−1)}, . . . , {circumflex over (x)}2{−1}, {circumflex over (x)}2{0}, . . . , {circumflex over (x)}2{L−1}, {circumflex over (x)}2{L}, . . . , {circumflex over (x)}2{L−1+(M−2)(N−1)}]; and repeating (d)-(f) for subsequent reiterative stages until a desired length-L range window is reached, thereby resolving the scatterer from noise and other scatterers. The RMMSE predictive deconvolution approach provides high-fidelity impulse response estimation. The RMMSE estimator can reiteratively estimate the MMSE filter for each specific impulse response coefficient by mitigating the interference from neighboring coefficients that is a result of the temporal (i.e. spatial) extent of the transmitted waveform. The result is a robust estimator that adaptively eliminates the spatial ambiguities that occur when a fixed receiver filter is used.