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1. 发明授权

US08326240B1 System for specific emitter identification 有权
标题翻译：特定发射体识别系统
公开(公告)号：US08326240B1
公开(公告)日：2012-12-04
申请号：US12891624
申请日：2010-09-27
申请人： Shubha L. Kadambe , Jason A. Fuemmeler , Carlos J. Chavez , W. Sam Spencer , Gina M. Reyes , Robert J. Frank , Michael N. Newhouse
发明人： Shubha L. Kadambe , Jason A. Fuemmeler , Carlos J. Chavez , W. Sam Spencer , Gina M. Reyes , Robert J. Frank , Michael N. Newhouse
IPC分类号： H04B17/00 , H03C1/62
CPC分类号： G01S5/0215 , H04B1/70735 , H04B17/27 , H04B17/336 , H04B17/345 , H04K3/22 , H04K3/228 , H04K3/45 , H04K3/822
摘要： An apparatus for identifying a specific emitter in the presence of noise and/or interference is disclosed. The apparatus includes a sensor configured to sense radio frequency signal data, the signal data containing noise and signal from at least one emitter, a reference estimation unit configured to estimate a reference signal relating to the signal transmitted by one emitter, a feature estimation unit configured to generate one or more estimates of one or more feature from the reference signal and the signal transmitted by that particular emitter, and an emitter identifier configured to identify the signal transmitted by that particular emitter as belonging to a specific device using one or more feature estimates. The emitter identifier identifies the signal transmitted by that particular emitter as belonging to a specific device using Gaussian Mixture Models and the Bayesian decision engine. The apparatus may also include an SINR enhancement unit configured to enhance the SINR of the data before the reference estimation unit estimates the reference signal.
摘要翻译：公开了一种用于在存在噪声和/或干扰的情况下识别特定发射器的装置。该装置包括：传感器，被配置为感测射频信号数据，包含噪声的信号数据和来自至少一个发射器的信号;参考估计单元，被配置为估计与由一个发射器发送的信号有关的参考信号;配置的特征估计单元从所述参考信号和由所述特定发射器发送的信号产生一个或多个特征的一个或多个估计，以及发射器标识符，其被配置为使用一个或多个特征估计来识别由所述特定发射器发送的属于特定设备的信号。发射器标识符将由特定发射器发送的信号识别为使用高斯混合模型和贝叶斯判决引擎的特定设备。该装置还可以包括被配置为在参考估计单元估计参考信号之前增强数据的SINR的SINR增强单元。

2. 发明授权

US09057772B1 Referenced-based radio frequency feature estimation 有权
标题翻译：基于参考的射频特征估计
公开(公告)号：US09057772B1
公开(公告)日：2015-06-16
申请号：US12891609
申请日：2010-09-27
申请人： Carlos J. Chavez , W. Sam Spencer , Shubha L. Kadambe , Robert J. Frank , Gina M. Reyes , Michael N. Newhouse , Jason A. Fuemmeler
发明人： Carlos J. Chavez , W. Sam Spencer , Shubha L. Kadambe , Robert J. Frank , Gina M. Reyes , Michael N. Newhouse , Jason A. Fuemmeler
IPC分类号： H04B17/00 , G01S5/02 , H04B1/7073 , H04B17/27 , H04B17/336 , H04B17/345
CPC分类号： G01S5/0215 , H04B1/70735 , H04B17/27 , H04B17/336 , H04B17/345
摘要： Disclosed is an apparatus for estimating the features of a radio frequency signal including a reference signal generator configured for generating a reference signal from a complex signal and one or more feature estimation units configured to generate one or more feature estimates from the reference signal and the complex signal. Techniques for creating reference signals from both signals spread by a scrambling code and FM signals are discussed.
摘要翻译：公开了一种用于估计射频信号的特征的装置，其包括被配置为从复信号生成参考信号的参考信号发生器和被配置为从参考信号和复合体生成一个或多个特征估计的一个或多个特征估计单元信号。讨论了通过扰码和FM信号扩展的两个信号创建参考信号的技术。

3. 发明授权

US08743854B1 Signal separation and SINR enhancement 有权
标题翻译：信号分离和SINR增强
公开(公告)号：US08743854B1
公开(公告)日：2014-06-03
申请号：US12891588
申请日：2010-09-27
申请人： Jason A. Fuemmeler , Gina M. Reyes , Shubha L. Kadambe , Robert J. Frank , Carlos J. Chavez , W. Sam Spencer , Michael N. Newhouse
发明人： Jason A. Fuemmeler , Gina M. Reyes , Shubha L. Kadambe , Robert J. Frank , Carlos J. Chavez , W. Sam Spencer , Michael N. Newhouse
IPC分类号： H04B7/216
CPC分类号： H04B17/336 , H04B1/7107
摘要： An apparatus and method for signal separation and SINR improvement is disclosed. In particular, disclosed is an iterative technique whereby a noisy signal, that may include signals from one or more distinct emitters, is first improved through an SINR improvement technique. Next, one signal from the noisy signal is identified and a reference signal substantially free of noise and interference is generated for this signal, and then this reference signal is subtracted from the noisy signal. This process is repeated until no other signals may be identified. In this way, the signal with the highest SINR may be identified first and then removed from the original signal. As such, the identified signal is no longer present as interference for the remaining signals, thus improving each of the remaining signals' respective SINRs.
摘要翻译：公开了一种用于信号分离和SINR改进的装置和方法。特别地，公开了一种迭代技术，其中可以包括来自一个或多个不同发射器的信号的噪声信号首先通过SINR改进技术得到改进。接下来，识别来自噪声信号的一个信号，并为该信号产生基本上没有噪声和干扰的参考信号，然后从噪声信号中减去该参考信号。重复该过程，直到不能识别出其它信号。以这种方式，可以首先识别具有最高SINR的信号，然后从原始信号中去除。因此，所识别的信号不再作为对剩余信号的干扰而存在，从而改善了每个剩余信号的各自的SINR。

4. 发明授权

US08699971B1 System for specific emitter identification 有权
标题翻译：特定发射体识别系统
公开(公告)号：US08699971B1
公开(公告)日：2014-04-15
申请号：US13679025
申请日：2012-11-16
申请人： Shubha L. Kadambe , Jason A. Fuemmeler , Carlos J. Chavez , William S. Spencer , Gina M. Reyes , Robert J. Frank , Michael N. Newhouse
发明人： Shubha L. Kadambe , Jason A. Fuemmeler , Carlos J. Chavez , William S. Spencer , Gina M. Reyes , Robert J. Frank , Michael N. Newhouse
IPC分类号： H04B17/00
CPC分类号： G01S5/0215 , H04B1/70735 , H04B17/27 , H04B17/336 , H04B17/345 , H04K3/22 , H04K3/228 , H04K3/45 , H04K3/822
摘要： An apparatus for identifying a specific emitter in the presence of noise and/or interference is disclosed. The apparatus includes a sensor configured to sense radio frequency signal data, the signal data containing noise and signal from at least one emitter, a reference estimation unit configured to estimate a reference signal relating to the signal transmitted by one emitter, a feature estimation unit configured to generate one or more estimates of one or more feature from the reference signal and the signal transmitted by that particular emitter, and an emitter identifier configured to identify the signal transmitted by that particular emitter as belonging to a specific device using one or more feature estimates. The emitter identifier identifies the signal transmitted by that particular emitter as belonging to a specific device using Gaussian Mixture Models and the Bayesian decision engine.
摘要翻译：公开了一种用于在存在噪声和/或干扰的情况下识别特定发射器的装置。该装置包括：传感器，被配置为感测射频信号数据，包含噪声的信号数据和来自至少一个发射器的信号;参考估计单元，被配置为估计与由一个发射器发送的信号有关的参考信号;配置的特征估计单元从所述参考信号和由所述特定发射器发送的信号产生一个或多个特征的一个或多个估计，以及发射器标识符，其被配置为使用一个或多个特征估计来识别由所述特定发射器发送的属于特定设备的信号。发射器标识符将由特定发射器发送的信号识别为使用高斯混合模型和贝叶斯判决引擎的特定设备。

5. 发明授权

US08488578B1 Identifying a CDMA scrambling code 有权
标题翻译：识别CDMA扰码
公开(公告)号：US08488578B1
公开(公告)日：2013-07-16
申请号：US12891638
申请日：2010-09-27
申请人： Jason A. Fuemmeler , Shubha L. Kadambe , Gina M. Reyes
发明人： Jason A. Fuemmeler , Shubha L. Kadambe , Gina M. Reyes
IPC分类号： H04W4/00
CPC分类号： H04B1/70735 , H04B7/0617
摘要： An apparatus for identifying a scrambling code used in the received CDMA-based signal. The apparatus includes a frame timing estimation unit configured to estimate a frame timing of the received CDMA-based signal, a searching unit configured to search for and select a scrambling code seed based on at least the estimated frame timing, and a seed evaluation unit configured to determine if the selected scrambling code seed is the correct seed used in the received CDMA-based signal. The searching unit is further configured to provide an identified scrambling code seed based on an indication from the seed evaluation unit that the selected scrambling code seed is the correct seed. The apparatus may also include a scrambling code generator configured to generate the scrambling code from the identified seed.
摘要翻译：一种用于识别在所接收的基于CDMA的信号中使用的扰码的装置。该装置包括：帧定时估计单元，被配置为估计接收到的基于CDMA的信号的帧定时;搜索单元，被配置为至少基于所估计的帧定时搜索并选择扰码种子;以及种子评估单元，以确定所选择的扰码种子是否是在接收的基于CDMA的信号中使用的正确种子。搜索单元还被配置为基于来自种子评估单元的指示来提供所识别的扰码种子，所述选择的扰码种子是正确的种子。该装置还可以包括被配置为从所识别的种子生成扰码的扰码发生器。

6. 发明申请

US20090060353A1 IDENTIFYING WHETHER A CANDIDATE OBJECT IS FROM AN OBJECT CLASS 有权
标题翻译：识别候选对象来自对象类
公开(公告)号：US20090060353A1
公开(公告)日：2009-03-05
申请号：US12049830
申请日：2008-03-17
申请人： Payam Saisan , Shubha L. Kadambe
发明人： Payam Saisan , Shubha L. Kadambe
IPC分类号： G06K9/62
CPC分类号： G06K9/48 , G01S15/8902 , G06K9/6247
摘要： In one aspect, a method to identify a candidate object includes receiving an image of the candidate object and projecting the received image onto an image subspace. The image subspace is formed from images of known objects of a class. The method also includes determining whether the candidate object is in the object class based on the received image and the image subspace using a likelihood ratio. The likelihood ratio includes a first probability density indicating a probability an object is in the object class and a second probability density indicating a probability an object is not in the class. The first probability density and the second probability are each a function of a distance of the received image to the image subspace.
摘要翻译：一方面，一种识别候选对象的方法包括接收候选对象的图像并将接收的图像投影到图像子空间上。图像子空间由类的已知对象的图像形成。该方法还包括基于接收到的图像和使用似然比的图像子空间来确定候选对象是否在对象类中。似然比包括指示对象在对象类中的概率的第一概率密度和指示对象不在类中的概率的第二概率密度。第一概率密度和第二概率各自是接收到的图像与图像子空间的距离的函数。

7. 发明授权

US08442591B1 Blind source separation of co-channel communication signals 有权
标题翻译：同频道通信信号的盲源分离
公开(公告)号：US08442591B1
公开(公告)日：2013-05-14
申请号：US13249119
申请日：2011-09-29
申请人： Shubha L. Kadambe
发明人： Shubha L. Kadambe
IPC分类号： H04M1/00
CPC分类号： H04B7/0854
摘要： A method and system are shown and described for separating, on a communication channel, multiple complex communication signals originating from corresponding multiple communication sources. The method includes estimating separate complex communication signals using an unmixing matrix. The unmixing matrix is recursively updated by transforming the estimated complex communication signals into real numbers for use with a gradient-based training module. The gradient-based training module is configured to use the real numbers to calculate learning rule updates to apply to the unmixing matrix. The gradient-based training module is configured to minimize error in the signal estimation obtained by application of the unmixing matrix. The transformation of the estimated complex communication signals into real numbers may include applying the complex communication signals to a hyperbolic tangent function.
摘要翻译：示出和描述了在通信信道上分离来自相应的多个通信源的多个复杂通信信号的方法和系统。该方法包括使用解混合矩阵来估计单独的复数通信信号。通过将所估计的复合通信信号变换为实数以与基于梯度的训练模块一起使用来递归地更新解混合矩阵。基于渐变的训练模块被配置为使用实数来计算适用于解混合矩阵的学习规则更新。基于梯度的训练模块被配置为使得通过应用解混合矩阵获得的信号估计中的误差最小化。将估计的复合通信信号变换成实数可以包括将复合通信信号应用于双曲正切函数。

8. 发明授权

US08880370B1 Multiple signals detection system 有权
标题翻译：多信号检测系统
公开(公告)号：US08880370B1
公开(公告)日：2014-11-04
申请号：US13163351
申请日：2011-06-17
申请人： Shubha L. Kadambe
发明人： Shubha L. Kadambe
IPC分类号： G06F17/00
CPC分类号： G01R23/16 , G01S5/02 , H04K3/22 , H04K3/45 , H04K3/822 , H04K2203/34
摘要： Systems, methods, and computer-readable media for detecting signals are provided. A method comprises determining a time-frequency representation for a received signal and partitioning the time-frequency representation of the received signal into a plurality of time-frequency partitions. The method further comprises determining an energy (e.g., a spectral energy) for each of the plurality of time-frequency partitions and detecting one or more signals within the received signal based on the energy (e.g., the mean spectral energy distribution) of the time-frequency partitions. In some embodiments, multiple signals received simultaneously within an input signal may be detected in unknown noise conditions.
摘要翻译：提供了用于检测信号的系统，方法和计算机可读介质。一种方法包括确定接收到的信号的时间 - 频率表示，并将接收到的信号的时间 - 频率表示划分成多个时频分区。该方法还包括确定多个时频分区中的每一个的能量（例如，频谱能量），并且基于时间的能量（例如，平均频谱能量分布）来检测接收信号内的一个或多个信号频率分区。在一些实施例中，可以在未知的噪声条件下检测在输入信号内同时接收的多个信号。

9. 发明授权

US08860850B1 Photon-starved imaging system 有权
标题翻译：光子饥饿成像系统
公开(公告)号：US08860850B1
公开(公告)日：2014-10-14
申请号：US12861972
申请日：2010-08-24
申请人： Steven E. Koenck , David W. Jensen , Jaclyn A. Hoke , Shubha L. Kadambe
发明人： Steven E. Koenck , David W. Jensen , Jaclyn A. Hoke , Shubha L. Kadambe
IPC分类号： H04N5/217 , H04N5/225
CPC分类号： G06K9/6244 , G06K2009/4695 , H04N5/37455
摘要： A method for low-light imaging may include, but is not limited to: detecting one or more photons via the least one photon-counting sensor; determining an orientation of at least one photon-counting sensor; and correlating data associated with the at least one photon-counting sensor with the orientation of the at least one photon-counting sensor. A system for low-light imaging may include, but is not limited to: one or more photon-counting sensors configured for detecting one or more photons via the least one photon-counting sensor; one or more inertial sensors; and at least one processing unit configured for: determining an orientation of at least one photon-counting sensor and correlating data associated with the at least one photon-counting sensor with the orientation of the at least one photon-counting sensor.
摘要翻译：低光成像的方法可以包括但不限于：经由至少一个光子计数传感器检测一个或多个光子; 确定至少一个光子计数传感器的取向; 以及将与所述至少一个光子计数传感器相关联的数据与所述至少一个光子计数传感器的取向相关联。用于低光成像的系统可以包括但不限于：配置用于经由至少一个光子计数传感器检测一个或多个光子的一个或多个光子计数传感器; 一个或多个惯性传感器; 以及至少一个处理单元，其被配置用于：确定至少一个光子计数传感器的取向并将与所述至少一个光子计数传感器相关联的数据与所述至少一个光子计数传感器的取向相关联。

10. 发明授权

US08396310B1 Basis learning for sparse image representation and classification and low data rate compression 有权
标题翻译：基础学习稀疏图像表示和分类和低数据速率压缩
公开(公告)号：US08396310B1
公开(公告)日：2013-03-12
申请号：US12586934
申请日：2009-09-30
申请人： Shubha L. Kadambe , Lawrence Carin
发明人： Shubha L. Kadambe , Lawrence Carin
IPC分类号： G06K9/36 , H04N11/02
CPC分类号： G06K9/6244 , G06K2009/4695 , H04N19/122 , H04N19/154 , H04N19/192
摘要： A computerized method for transforming a signal representative of image information, the signal being a sparse signal, includes obtaining the signal. The method further includes using the signal to learn a dictionary of basis functions that represent at least part of the signal. The method further includes using the learned dictionary of basis functions to transform the signal.
摘要翻译：一种用于变换表示图像信息的信号的计算机化方法，所述信号是稀疏信号，包括获得信号。该方法还包括使用信号来学习表示至少部分信号的基函数的词典。该方法还包括使用所学习的基函数词典来变换信号。

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