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    • 2. 发明申请
    • ELECTROMAGNETIC EMISSIONS STIMULATION AND DETECTION SYSTEM
    • 电磁辐射刺激和检测系统
    • US20090006024A1
    • 2009-01-01
    • US11771192
    • 2007-06-29
    • Sarah A. SeguinDaryl G. BeetnerTodd H. Hubing
    • Sarah A. SeguinDaryl G. BeetnerTodd H. Hubing
    • G06F19/00
    • G01S13/04G01S7/021G01S7/412G01S13/74
    • A system and method for detecting and identifying electronic devices based on their unintended electromagnetic emissions (“UEE”) signals is presented. During device classification, UEE signals are measured from a plurality of test devices and characteristic data is obtained from the UEE signal emitted from each test device. Using the characteristic data, a threshold value and ideal pulse template can be determined for each test device and stored in a memory. An ideal stimulation signal is also determined for each test device and stored in the memory. During device detection, the ideal stimulation signal is applied to the environment in which a target device is suspected of being located. Stimulated UEE signals are measured from the target device and processed. The processed measurement data is compared to stored power threshold values and ideal pulse templates to determine if the target device is present.
    • 提出了一种基于其非预期电磁辐射(“UEE”)信号来检测和识别电子设备的系统和方法。 在设备分类期间,从多个测试设备测量UEE信号,并且从每个测试设备发射的UEE信号获得特征数据。 使用特征数据,可以为每个测试设备确定阈值和理想脉冲模板,并将其存储在存储器中。 也为每个测试设备确定理想的刺激信号并存储在存储器中。 在设备检测期间,理想的刺激信号被施加到目标设备被怀疑位于的环境中。 受激刺激的UEE信号从目标设备测量并进行处理。 将处理的测量数据与存储的功率阈值和理想脉冲模板进行比较,以确定目标设备是否存在。
    • 3. 发明授权
    • Electromagnetic emissions stimulation and detection system
    • 电磁辐射刺激和检测系统
    • US07464005B1
    • 2008-12-09
    • US11771192
    • 2007-06-29
    • Daryl G. BeetnerSarah A. SeguinTodd H. Hubing
    • Daryl G. BeetnerSarah A. SeguinTodd H. Hubing
    • G06F15/00G01S3/00
    • G01S13/04G01S7/021G01S7/412G01S13/74
    • A system and method for detecting and identifying electronic devices based on their unintended electromagnetic emissions (“UEE”) signals is presented. During device classification, UEE signals are measured from a plurality of test devices and characteristic data is obtained from the UEE signal emitted from each test device. Using the characteristic data, a threshold value and ideal pulse template can be determined for each test device and stored in a memory. An ideal stimulation signal is also determined for each test device and stored in the memory. During device detection, the ideal stimulation signal is applied to the environment in which a target device is suspected of being located. Stimulated UEE signals are measured from the target device and processed. The processed measurement data is compared to stored power threshold values and ideal pulse templates to determine if the target device is present.
    • 提出了一种基于其非预期电磁辐射(“UEE”)信号来检测和识别电子设备的系统和方法。 在设备分类期间,从多个测试设备测量UEE信号,并且从每个测试设备发射的UEE信号获得特征数据。 使用特征数据,可以为每个测试设备确定阈值和理想脉冲模板,并将其存储在存储器中。 也为每个测试设备确定理想的刺激信号并存储在存储器中。 在设备检测期间,理想的刺激信号被施加到目标设备被怀疑位于的环境中。 受激刺激的UEE信号从目标设备测量并进行处理。 将处理的测量数据与存储的功率阈值和理想脉冲模板进行比较,以确定目标设备是否存在。
    • 4. 发明授权
    • Electromagnetic emissions stimulation and detection system
    • 电磁辐射刺激和检测系统
    • US07853437B2
    • 2010-12-14
    • US12325856
    • 2008-12-01
    • Sarah A. SeguinDaryl G. BeetnerTodd H. Hubing
    • Sarah A. SeguinDaryl G. BeetnerTodd H. Hubing
    • G06F15/00G01S3/00
    • G01S13/04G01S7/021G01S7/412G01S13/74
    • A system and method for detecting and identifying electronic devices based on their unintended electromagnetic emissions (“UEE”) signals is presented. During device classification, UEE signals are measured from a plurality of test devices and characteristic data is obtained from the UEE signal emitted from each test device. Using the characteristic data, a threshold value and ideal pulse template can be determined for each test device and stored in a memory. An ideal stimulation signal is also determined for each test device and stored in the memory. During device detection, the ideal stimulation signal is applied to the environment in which a target device is suspected of being located. Stimulated UEE signals are measured from the target device and processed. The processed measurement data is compared to stored power threshold values and ideal pulse templates to determine if the target device is present.
    • 提出了一种基于其非预期电磁辐射(“UEE”)信号来检测和识别电子设备的系统和方法。 在设备分类期间,从多个测试设备测量UEE信号,并且从每个测试设备发射的UEE信号获得特征数据。 使用特征数据,可以为每个测试设备确定阈值和理想脉冲模板,并将其存储在存储器中。 也为每个测试设备确定理想的刺激信号并存储在存储器中。 在设备检测期间,理想的刺激信号被施加到目标设备被怀疑位于的环境中。 受激刺激的UEE信号从目标设备测量并进行处理。 将处理的测量数据与存储的功率阈值和理想脉冲模板进行比较,以确定目标设备是否存在。