Wideband spectrum sensing for interferer detectionTechnology #cu15061
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This technology is an analog-to-information converter that rapidly scans for available frequency bands to reduce wireless data traffic.
Unmet Need: Energy-efficient spectrum scanning method optimized for sensitivity performance
The increasing amount of wireless data traffic due to mobile and untethered devices is rapidly increasing the need for more efficient utilization of the radio spectrum. Cognitive radio (CR) is a proposed shift for wireless communications in which a device assesses the local spectrum usage to dynamically access the available spectrum. However, current methods that implement this approach, such as the modulated wideband converter (MWC), suffer from high energy costs and reduced sensitivity. Consequently, there is a need for a CR method that delivers energy-efficient spectrum scanning without sacrificing sensitivity.
The Technology: Fast, low power, and sensitive spectrum scanning
This technology is a spectrum sensing method called Quadrature Analog-to-Information Converter (QAIC) that rapidly scans for available bandwidth using a sensitive, low power system. This technology uses frequency down-conversion to reduce the bandwidth of the input signal before sensing, resulting in improved sensitivity and energy consumption compared with the MWC. As such, this technology rapidly identifies available frequency bands to reduce wireless traffic.
This technology has been prototyped and demonstrated successful interference detection within the 2.7-3.7 GHz frequency range.
- Increased spectrum utilization efficiency
- Improved telecommunication systems
- Reduction of wireless data traffic
- Improved access to high-speed wireless data
- Fast radio spectrum scanning within defined frequency range
- Low power requirements
Patent Pending (US 20170026066)
- Yazicigil RT, Haque T, Whalen MR, Yuan J, Wright J, Kinget PR. “Wideband Rapid Interferer Detector Exploiting Compressed Sampling With a Quadrature Analog-to-Information Converter” IEEE Journal of Solid State Circuits. 2015 Aug 27; 50(12): 3047-3064
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Licensing Contact: Greg Maskel