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Spectrum segmentation for wideband sensing of radio signals

2011 IEEE International Workshop on Measurements and Networking Proceedings (M&N), 2011
Spectrum sensing is a key factor for either the development of Cognitive Radio or the implementation of instruments able to automatically monitor the radio spectrum. Within the process of spectrum sensing, segmentation aims to detect the boundaries of the transmission channels in a wide frequency range.
Doris Bao, Luca De Vito, Sergio Rapuano
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Low-power architecture for wideband spectrum sensing

2012 3rd International Workshop on Cognitive Information Processing (CIP), 2012
In this paper, a novel power efficient architecture for detecting the spectral holes over a very high bandwidth is proposed. Wideband spectrum sensing poses serious challenges for low-power spectrum sharing radios (for e.g., cognitive radio) which cannot afford to use high-rate Analog-to-Digital Converters (ADCs) to sample the signals at Nyquist rate ...
Sundeep Prabhakar Chepuri   +2 more
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Exploiting Space and Antenna Diversity for Wideband Spectrum Sensing

2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), 2021
Cognitive radio (CR) is a technology that greatly exhibits signs of future success for spectrum utilization. One of the crucial tasks of CR is the spectrum sensing (SS), which identifies the spectrum opportunity for unlicensed users avoiding the interference to the licensed users.
Kamal M. Captain, Manjunath V. Joshi
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Secure enhanced compressed wideband spectrum sensing

2012 International Conference on Wireless Communications and Signal Processing (WCSP), 2012
Spectrum Sensing Data Falsification (SSDF) attack is one of the most important threats to spectrum sensing for wireless cognitive radio networks. On the basis that the wireless signal in cognitive radio network is inherently sparse in frequency domain, this paper develops a distributed compressed wideband spectrum sensing approach which combines both ...
Yao Gang, Baoyu Zheng, Junqing Chen
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Wideband spectrum sensing based on coprime sampling

2015 22nd International Conference on Telecommunications (ICT), 2015
In wideband compressive spectrum sensing, when the number of occupied subbands in the monitored wideband increases, the existing compressive sensing approaches have to raise the sampling rate to maintain a desired sensing performance. What is worse, that will add computational complexity of the following signal reconstruction.
Shiyu Ren   +3 more
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New algorithms for wideband spectrum sensing via compressive sensing

2013 IEEE International Conference on Communications (ICC), 2013
We consider the problem of spectrum sensing in a Cognitive Radio (CR) system when the primaries can be occupying a few subbands in a wideband spectrum. Since the primary signal dimension is large, Nyquist rate can be very high. Compressive sensing (CS) can be useful in this setup.
Shwetank Mistry, Vinod Sharma
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Wideband spectrum sensing technique based on multitask compressive sensing

2016 IEEE Symposium on Computers and Communication (ISCC), 2016
Sensing the spectrum is the central operation to enable cognitive users to identify the spectrum occupancy. Wideband spectrum sensing enables detecting occupancy at different bands. In this paper, we propose a wavelet based multitask compressive sensing (WMCS) algorithm for constructing the spectrum edges directly from the compressive measurement.
Osama Elnahas, Maha Elsabrouty
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Fast technique for wideband spectrum sensing

2014 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2014
The wideband spectrum sensing method described in this paper considers selecting unoccupied frequencies within a frequency band of interest. Two energy detection criteria are required to select an unoccupied frequency: 1) the energy of an unoccupied frequency must be below a predetermined threshold; 2) the sum of energy surrounding an unoccupied ...
Anthony Martone, Kenneth Ranney
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Wideband Spectrum Sensing Techniques

2015
From a physical standpoint, the distinguishing feature of a cognitive radio (CR) is the spectrum sensing unit (SSU). The SSU must be designed in such a way that it can scan the entire frequency spectrum and locate unused channels. The location of unused channels is not a trivial task for two main reasons. First, the frequency spectrum band may be large
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Wideband spectrum sensing using the all-phase FFT

2011 9th IEEE International Conference on ASIC, 2011
Spectrum sensing is a key technology of cognitive radio. The goal of spectrum sensing in this context is to achieve a high detection probability in order to avoid causing interference to the primary licensed users. Among the methods available for spectrum sensing, energy detection has been widely applied in hardware implementations.
Huai, Lian   +2 more
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