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• W2783015122 abstract "Spectrum sensing is an important techniques used in cognitive radio system which provides the knowledge of spectrum occupancy and also the activities of the licensed user. Energy detection technique depends upon the information of noise power and encounters the problem of noise uncertainty. Here, blind spatial method for spectrum sensing is used to overcome the noise uncertainty problem. An Electronically Steerable Parasitic Antenna Receptor (ESPAR) has been used that is able to distribute the space into various sectors. Moreover, the received beam pattern can be switched to individual sectors. The existence/non-existence of the licensed user signal depends upon the difference of the energy of the received signal in sectors. The maximum-minimum energy ratio is used to find out the existence/non-existence of the licensed user in a blind energy based algorithm. To remove the noise uncertainty issue and to improve the reliability with low complexity maximum-minimum energy detection (MMEN) sensing method is used. Simulation result indicates that as we increase the number of sectors, probability of detection increases. The reason behind this is that the signal strength depends upon the angular spread. Hence, when the angular spread increases, signal strength also increases which allows the number of sectors to be increased. Therefore, increasing the number of sectors, increase the detection probability." @default.
• W2783015122 created "2018-01-26" @default.
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• W2783015122 date "2017-05-01" @default.
• W2783015122 modified "2023-09-25" @default.
• W2783015122 title "Maximum-minimum energy detection for spatial spectrum sensing" @default.
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• W2783015122 doi "https://doi.org/10.1109/rteict.2017.8256882" @default.
• W2783015122 hasPublicationYear "2017" @default.
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