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- W2739537747 abstract "To maximize spectrum access opportunities for white space devices, incorporating real-time spectrum sensing with geolocation database is a promising approach to enhance detection resolution. Advanced spectrum sensing techniques are needed to quickly and accurately identify spectrum occupancy over a wide frequency range. However, the stringent requirements from the wideband signal acquisition and processing pose a major implementation challenge in compact devices with limited energy storage and computational capabilities. In this paper, an efficient joint scheme of sub-Nyquist wideband spectrum sensing with geolocation database is proposed to ensure accurate detection of the surrounding spectrum with reduced number of measurements. Subspace augmented greedy algorithm is modified to incorporate a priori information from geolocation database, therefore enabling local spectrum sensing to be performed only on a limited number of potentially vacant channels over TV White Space. Theoretical analysis and experimental results on the simulated and real-time signals show that the proposed joint scheme improves the sensing sensitivity with lower computation complexity, while the updated channel information from local sensing reduces the risk of interferences to the primary users." @default.
- W2739537747 created "2017-08-08" @default.
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- W2739537747 date "2017-05-01" @default.
- W2739537747 modified "2023-09-25" @default.
- W2739537747 title "An efficient joint sub-Nyquist spectrum sensing scheme with geolocation database over TV white space" @default.
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- W2739537747 doi "https://doi.org/10.1109/icc.2017.7996736" @default.
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