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    • 3. 发明申请
    • CURVED SENSOR ARRAY APPARATUS AND METHODS
    • 弯曲传感器阵列装置和方法
    • WO2009017524A4
    • 2009-06-18
    • PCT/US2008005129
    • 2008-04-21
    • LUCID DIMENSIONS LLCRIEL RYAN DCALIHMAN ADAM ETHOMSON DAVID S
    • RIEL RYAN DCALIHMAN ADAM ETHOMSON DAVID S
    • G01S3/30
    • G01C3/00G01S3/784
    • Curved sensor array configurations ( 702, Figures 1 A, 2A, 2B, 8A, 8B, 8C, 9, 10, 11) and methods (Figures 6A, 6B, 6C) of processing the data gathered by the sensors. A 2 dimensional embodiment (Figure 1 A) comprises singular ring of sensors that can monitor sources in a 2 dimensional plane. A sensor directly facing a target produces a maximum response (Figure 1 C). As the angle of a sensor relative to the target increases, the response decreases. Fitting the sensor response amplitudes.to a 2D Gaussian curve (Figure 1 B) and calculating the peak of the curve (606) allows a very accurate calculation of the angular direction (608) of the target. A 3D embodiment (Figures 2A, 8A, 8B, 8C) comprises sensors scattered over the surface of a sphere in order to monitor multiple targets in any spatial orientation. Again, the sensor amplitude data is fitted to a 3D curve or surface such as a Gaussian surface (Figure 2C). The present invention can resolve more than one target using deconvoluting techniques (622, Figures 4A, 4B, 4C, 5A, 5B, 5C, 5D).
    • 处理由传感器收集的数据的弯曲传感器阵列配置(702,图1A,2A,2B,8A,8B,8C,9,10,11)和方法(图6A,6B,6C)。 二维实施例(图1A)包括能够监测二维平面中的源的传感器的单环。 直接面向目标的传感器产生最大响应(图1C)。 随着传感器相对于目标的角度增加,响应减小。 将传感器响应振幅拟合成二维高斯曲线(图1B)并计算曲线(606)的峰值允许非常准确地计算目标的角度方向(608)。 3D实施例(图2A,图8A,图8B,图8C)包括散布在球表面上的传感器,以便监测任何空间定向中的多个目标。 同样,传感器幅度数据适合3D曲线或表面,如高斯表面(图2C)。 本发明可以使用去卷积技术(622,图4A,4B,4C,5A,5B,5C,5D)解决多于一个目标。
    • 5. 发明申请
    • CURVED SENSOR ARRAY APPARATUS AND METHODS
    • 弯曲传感器阵列装置和方法
    • WO2009017524A3
    • 2009-04-09
    • PCT/US2008005129
    • 2008-04-21
    • LUCID DIMENSIONS LLCRIEL RYAN DCALIHMAN ADAM ETHOMSON DAVID S
    • RIEL RYAN DCALIHMAN ADAM ETHOMSON DAVID S
    • G01S3/30
    • G01C3/00G01S3/784
    • Curved sensor array configurations ( 702, Figures 1 A, 2A, 2B, 8A, 8B, 8C, 9, 10, 11) and methods (Figures 6A, 6B, 6C) of processing the data gathered by the sensors. A 2 dimensional embodiment (Figure 1 A) comprises singular ring of sensors that can monitor sources in a 2 dimensional plane. A sensor directly facing a target produces a maximum response (Figure 1 C). As the angle of a sensor relative to the target increases, the response decreases. Fitting the sensor response amplitudes.to a 2D Gaussian curve (Figure 1 B) and calculating the peak of the curve (606) allows a very accurate calculation of the angular direction (608) of the target. A 3D embodiment (Figures 2A, 8A, 8B, 8C) comprises sensors scattered over the surface of a sphere in order to monitor multiple targets in any spatial orientation. Again, the sensor amplitude data is fitted to a 3D curve or surface such as a Gaussian surface (Figure 2C). The present invention can resolve more than one target using deconvoluting techniques (622, Figures 4A, 4B, 4C, 5A, 5B, 5C, 5D).
    • 处理由传感器收集的数据的弯曲传感器阵列配置(702,图1A,2A,2B,8A,8B,8C,9,10,11)和方法(图6A,6B,6C)。 二维实施例(图1A)包括可监测二维平面中的源的传感器的奇异环。 直接面向目标的传感器产生最大响应(图1C)。 当传感器相对于目标物的角度增加时,响应减小。 将传感器响应幅度拟合到2D高斯曲线(图1B)并计算曲线的峰值(606)允许非常准确地计算目标的角度方向(608)。 3D实施例(图2A,8A,8B,8C)包括散布在球体表面上的传感器,以便以任何空间方向监视多个目标。 再次,将传感器振幅数据拟合到诸如高斯表面的3D曲线或表面(图2C)。 本发明可以使用解卷积技术(622,图4A,4B,4C,5A,5B,5C,5D)来解决多于一个的目标。
    • 10. 发明申请
    • CURVED SENSOR ARRAY APPARATUS AND METHODS
    • 弯曲传感器阵列装置和方法
    • WO2009017524A2
    • 2009-02-05
    • PCT/US2008/005129
    • 2008-04-21
    • LUCID DIMENSIONS, LLCRIEL, Ryan, D.CALIHMAN, Adam, E.THOMSON, David, S.
    • RIEL, Ryan, D.CALIHMAN, Adam, E.THOMSON, David, S.
    • G01C3/00G01S3/784
    • Curved sensor array configurations ( 702, Figures 1 A, 2A, 2B, 8A, 8B, 8C, 9, 10, 11) and methods (Figures 6A, 6B, 6C) of processing the data gathered by the sensors. A 2 dimensional embodiment (Figure 1 A) comprises singular ring of sensors that can monitor sources in a 2 dimensional plane. A sensor directly facing a target produces a maximum response (Figure 1 C). As the angle of a sensor relative to the target increases, the response decreases. Fitting the sensor response amplitudes.to a 2D Gaussian curve (Figure 1 B) and calculating the peak of the curve (606) allows a very accurate calculation of the angular direction (608) of the target. A 3D embodiment (Figures 2A, 8A, 8B, 8C) comprises sensors scattered over the surface of a sphere in order to monitor multiple targets in any spatial orientation. Again, the sensor amplitude data is fitted to a 3D curve or surface such as a Gaussian surface (Figure 2C). The present invention can resolve more than one target using deconvoluting techniques (622, Figures 4A, 4B, 4C, 5A, 5B, 5C, 5D).
    • 弯曲的传感器阵列配置(702,图1A,2A,2B,8A,8B,8C,9,10,11)和方法(图6A,6B,6C)处理收集的数据 通过传感器。 二维实施例(图1A)包括能够监测二维平面中的源的传感器的单环。 直接面向目标的传感器产生最大响应(图1C)。 随着传感器相对于目标的角度增加,响应减小。 将传感器响应振幅拟合成二维高斯曲线(图1B)并计算曲线(606)的峰值允许非常准确地计算目标的角度方向(608)。 3D实施例(图2A,图8A,图8B,图8C)包括散布在球表面上的传感器,以便监测任何空间定向中的多个目标。 同样,传感器幅度数据适合3D曲线或表面,如高斯表面(图2C)。 本发明可以使用解卷积技术(622,图4A,4B,4C,5A,5B,5C,5D)解决多于一个目标。