Computer vision for improved single-sensor spectrum sensing
Computer vision for improved single-sensor spectrum sensing
- Author(s): C. Smith ; Q.R. Black ; M. Magee
- DOI: 10.1049/ic.2012.0108
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- Author(s): C. Smith ; Q.R. Black ; M. Magee Source: Sensor Signal Processing for Defence (SSPD 2012), 2012 page ()
- Conference: Sensor Signal Processing for Defence (SSPD 2012)
- DOI: 10.1049/ic.2012.0108
- ISBN: 978-1-84919-712-0
- Location: London, UK
- Conference date: 25-27 Sept. 2012
- Format: PDF
Spectrum sensing is the technology for determining spectrum usage as seen from a single sensor. This paper presents an improved approach to spectrum sensing. The technique is based on processing the spectrogram using computer vision methods, including morphological operations and computing connected components. The use of these non-linear methods improves performance. For a fixed false alarm rate of 10%, the technique presented improved detection accuracy from 50% to near 90% over a time adaptive method based on cell-averaging. (5 pages)
Inspec keywords: computer vision; signal detection; image sensors
Subjects: Computer vision and image processing techniques; Signal detection; Optical, image and video signal processing; Image sensors
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