Abstract: A spectrum sharing system includes an advanced beacon (e.g. a low latency RF link) as part of an information sharing subsystem. The advanced beacon signal carries radar spectrum transmission schedule in an obfuscated way such as not to reveal the geolocation of the radar. The information sharing subsystem directs nodes, such as cell phones, to share spectrum based on spectrum sharing instructions contained in the advanced beacon. The spectrum sharing system permits out-of-band sharing of spectrum white space, as well as sharing of in-band spectrum gray space.

Abstract: A spectrum sharing system includes an advanced beacon (e.g. a low latency RF link) as part of an information sharing subsystem. The advanced beacon signal carries radar spectrum transmission schedule in an obfuscated way such as not to reveal the geolocation of the radar. The information sharing subsystem directs nodes, such as cell phones, to share spectrum based on spectrum sharing instructions contained in the advanced beacon. The spectrum sharing system permits out-of-band sharing of spectrum white space, as well as sharing of in-band spectrum gray space.

Abstract: Techniques are provided for implementing a portable spectrum analyzer. An example system, according to an embodiment, includes a signal analyzer including an RF receiver to receive RF signals from an antenna, an analog-to-digital converter to generate a sampled signal based on the received RF signals, and a signal analysis co-processor to perform cognitive scanning analysis of the sampled signal. The cognitive scanning analysis includes detection, identification, and characterization of digital/analog signal(s) embedded in the sampled signal. The system may further include a communications interface circuit to provide communication between the signal analyzer and an associated mobile host platform (e.g., smartphone). The communication includes transmitting results of the cognitive scanning analysis to the mobile host and receiving parameters from the mobile host to control the operation of the cognitive scanning analysis.

Abstract: A system and method that uses tunnelizing for analyzing frequency spectrum. The method may include the steps of under sampling an input signal to take samples in one or more tunnels each with a tunnel bandwidth that is equal to or less than a total analysis bandwidth of the input signal; detecting one or more cyclostationary features of the input signal based on the samples; and determining one or more signal types of the one or more cyclostationary features based on the one or more cyclostationary features.

Abstract: Techniques are provided for implementing a portable spectrum analyzer. An example system, according to an embodiment, includes a signal analyzer including an RF receiver to receive RF signals from an antenna, an analog-to-digital converter to generate a sampled signal based on the received RF signals, and a signal analysis co-processor to perform cognitive scanning analysis of the sampled signal. The cognitive scanning analysis includes detection, identification, and characterization of digital/analog signal(s) embedded in the sampled signal. The system may further include a communications interface circuit to provide communication between the signal analyzer and an associated mobile host platform (e.g., smartphone). The communication includes transmitting results of the cognitive scanning analysis to the mobile host and receiving parameters from the mobile host to control the operation of the cognitive scanning analysis.

Abstract: Techniques are provided for implementing a portable spectrum analyzer. An example system, according to an embodiment, includes a signal analyzer including an RF receiver to receive RF signals from an antenna, an analog-to-digital converter to generate a sampled signal based on the received RF signals, and a signal analysis co-processor to perform cognitive scanning analysis of the sampled signal. The cognitive scanning analysis includes detection, identification, and characterization of digital/analog signal(s) embedded in the sampled signal. The system may further include a communications interface circuit to provide communication between the signal analyzer and an associated mobile host platform (e.g., smartphone). The communication includes transmitting results of the cognitive scanning analysis to the mobile host and receiving parameters from the mobile host to control the operation of the cognitive scanning analysis.

Abstract: Techniques are provided for implementing a portable spectrum analyzer. An example system, according to an embodiment, includes a signal analyzer including an RF receiver to receive RF signals from an antenna, an analog-to-digital converter to generate a sampled signal based on the received RF signals, and a signal analysis co-processor to perform cognitive scanning analysis of the sampled signal. The cognitive scanning analysis includes detection, identification, and characterization of digital/analog signal(s) embedded in the sampled signal. The system may further include a communications interface circuit to provide communication between the signal analyzer and an associated mobile host platform (e.g., smartphone). The communication includes transmitting results of the cognitive scanning analysis to the mobile host and receiving parameters from the mobile host to control the operation of the cognitive scanning analysis.

Abstract: Dynamic frequency selection (DFS) is often a requirement for a wireless local area network (WLAN) apparatus to prevent the apparatus from interfering with other systems that have a priority to a radio frequency (RF) channel. When DFS is executed, the WLAN apparatus ceases WLAN operations on the channel and searches for an open channel to resume WLAN operations. Often a WLAN apparatus misinterprets signals from another system as operating on the channel when actually the received signals are signals leaked into the channel from a system transmitting on a different channel. Presented herein are methods and apparatuses for preventing unnecessary DFS operations resulting from misinterpreted signals through the use of a signal to noise ratio determined from a pulse spectral density of the received signal.

Abstract: A spectrum sharing system includes an advanced beacon (e.g. a low latency RF link) as part of an information sharing subsystem. The advanced beacon signal carries radar spectrum transmission schedule in an obfuscated way such as not to reveal the geolocation of the radar. The information sharing subsystem directs nodes, such as cell phones, to share spectrum based on spectrum sharing instructions contained in the advanced beacon. The spectrum sharing system permits out-of-band sharing of spectrum white space, as well as sharing of in-band spectrum gray space.

Abstract: A cover for a pipe including a body, a slit, two flanges extending from the edges of the slit, and protrusions extending outwardly from each flange. The protrusions have three connected central openings extending from an outermost end of the protrusion to an inner surface of the flange. Also a fastener having five portions. The maximum width or diameter of the first portion, the third portion, and the fifth portion is larger than the maximum width or diameter of the second portion and the fourth portion. Also, a system for covering a pipe having such a cover and a plurality of such fasteners, a kit for covering a pipe including such a cover and at least one such fastener, and a method of covering a pipe.

Abstract: Dynamic frequency selection (DFS) is often a requirement for a wireless local area network (WLAN) apparatus to prevent the apparatus from interfering with other systems that have a priority to a radio frequency (RF) channel. When DFS is executed, the WLAN apparatus ceases WLAN operations on the channel and searches for an open channel to resume WLAN operations. Often a WLAN apparatus misinterprets signals from another system as operating on the channel when actually the received signals are signals leaked into the channel from a system transmitting on a different channel. Presented herein are methods and apparatuses for preventing unnecessary DFS operations resulting from misinterpreted signals through the use of a signal to noise ratio determined from a pulse spectral density of the received signal.

Abstract: An evanescent-mode cavity filter with an improved MEMS tuner design is disclosed. The MEMS tuner design allows for the independent control of individual poles in a multi-pole filter, which increases the adaptability of the filter in a crowded RF environment. The filter is further designed to minimize tuning voltages and hysteresis effects. A closed loop control system provides highly responsive tuning of the filter. The closed loop control allows for accurate and stable tuning that compensates for temperature and vibrational effects, while the tuner design enables fast tuning and significantly increases the resolution of the feedback measurement by eliminating charge buildup in the tuner substrate.

Abstract: Techniques are provided for implementing a portable spectrum analyzer. An example system, according to an embodiment, includes a signal analyzer including an RF receiver to receive RF signals from an antenna, an analog-to-digital converter to generate a sampled signal based on the received RF signals, and a signal analysis co-processor to perform cognitive scanning analysis of the sampled signal. The cognitive scanning analysis includes detection, identification, and characterization of digital/analog signal(s) embedded in the sampled signal. The system may further include a communications interface circuit to provide communication between the signal analyzer and an associated mobile host platform (e.g., smartphone). The communication includes transmitting results of the cognitive scanning analysis to the mobile host and receiving parameters from the mobile host to control the operation of the cognitive scanning analysis.

Abstract: A system and method that uses tunnelizing for analyzing frequency spectrum. The method may include the steps of under sampling an input signal to take samples in one or more tunnels each with a tunnel bandwidth that is equal to or less than a total analysis bandwidth of the input signal; detecting one or more cyclostationary features of the input signal based on the samples; and determining one or more signal types of the one or more cyclostationary features based on the one or more cyclostationary features.

Abstract: Dynamic frequency selection (DFS) is often a requirement for a wireless local area network (WLAN) apparatus to prevent the apparatus from interfering with other systems that have a priority to a radio frequency (RF) channel. When DFS is executed, the WLAN apparatus ceases WLAN operations on the channel and searches for an open channel to resume WLAN operations. Often a WLAN apparatus misinterprets signals from another system as operating on the channel when actually the received signals are signals leaked into the channel from a system transmitting on a different channel. Presented herein are methods and apparatuses for preventing unnecessary DFS operations resulting from misinterpreted signals through the use of a signal to noise ratio determined from a pulse spectral density of the received signal.

Abstract: A system and method use tunnelizing for analyzing frequency spectrum. The method may include the steps of under sampling an input signal to take samples in one or more tunnels each with a tunnel bandwidth that is equal to or less than a total analysis bandwidth of the input signal; detecting one or more cyclostationary features of the input signal based on the samples; and determining one or more signal types of the one or more cyclostationary features based on the one or more cyclostationary features.

Abstract: A spectrum sharing system includes an advanced beacon (e.g. a low latency RF link) as part of an information sharing subsystem. The advanced beacon signal carries radar spectrum transmission schedule in an obfuscated way such as not to reveal the geolocation of the radar. The information sharing subsystem directs nodes, such as cell phones, to share spectrum based on spectrum sharing instructions contained in the advanced beacon. The spectrum sharing system permits out-of-band sharing of spectrum white space, as well as sharing of in-band spectrum gray space.

Abstract: A system and method use tunnelizing for analyzing frequency spectrum. The method may include the steps of under sampling an input signal to take samples in one or more tunnels each with a tunnel bandwidth that is equal to or less than a total analysis bandwidth of the input signal; detecting one or more cyclostationary features of the input signal based on the samples; and determining one or more signal types of the one or more cyclostationary features based on the one or more cyclostationary features.

Abstract: An evanescent-mode cavity filter with an improved MEMS tuner design is disclosed. The MEMS tuner design allows for the independent control of individual poles in a multi-pole filter, which increases the adaptability of the filter in a crowded RF environment. The filter is further designed to minimize tuning voltages and hysteresis effects. A closed loop control system provides highly responsive tuning of the filter. The closed loop control allows for accurate and stable tuning that compensates for temperature and vibrational effects, while the tuner design enables fast tuning and significantly increases the resolution of the feedback measurement by eliminating charge buildup in the tuner substrate.