Low Complexity Sub-Nyquist Wideband Spectrum Sensing for Cognitive Radio
نویسندگان
چکیده
منابع مشابه
Cooperative Wideband Spectrum Sensing Based on Sub-Nyquist Cooperative Narrowband Spectrum Sensing in Cognitive Radio Devices
Abstract— This article proposes a new cooperative wideband spectrum-sensing algorithm based on cooperative sub-Nyquist narrow band spectrum sensing in cognitive radio devices (CRD). Within this scenario, to guarantee optimal detection, the spectrum-sensing function must work with a great amount of samples of the signal obtained at rates equal or higher than the Nyquist rate, which generates hig...
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Spectrum sensing refers to the task of identifying the frequency support of a given input signal. Standard radio-frequency (RF) lab equipment can provide this functionality. An example is a spectrum analyzer (e.g., HP-8563E) which sweeps the center frequency of an analog bandpass filter and draws the in-band signal energy. The frequency support then consists of those spectrum intervals in which...
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Cognitive radio has emerged as one of the most promising candidate solutions to improve spectrum utilization in next generation cellular networks. A crucial requirement for future cognitive radio networks is wideband spectrum sensing: secondary users reliably detect spectral opportunities across a wide frequency range. In this article, various wideband spectrum sensing algorithms are presented,...
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Wideband spectrum sensing is becoming increasingly important to cognitive radio (CR) systems for exploiting spectral opportunities. This paper introduces a novel multi-rate sub-Nyquist spectrum sensing (MS) system that implements cooperative wideband spectrum sensing in a CR network. MS can detect the wideband spectrum using partial measurements without reconstructing the full frequency spectru...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2018.2865099