Spectrum sensing using frequency domain entropy estimation and its FPGA implementation for cognitive radio

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dc.contributor.author Srinu, S.
dc.contributor.author Sabat, Samrat L.
dc.contributor.author Udgata, Siba K.
dc.date.accessioned 2022-03-27T06:43:48Z
dc.date.available 2022-03-27T06:43:48Z
dc.date.issued 2012-04-02
dc.description.abstract Spectrum sensing is an important module in cognitive Radio (CR) technology. This paper presents a spectrum sensing technique based on entropy estimation of the received signal in frequency domain. This approach is extended for cooperative sensing using different fusion rules. Performance of the algorithm is analyzed using Monte-Carlo methods. The performance of proposed entropy based detection is compared with energy based detection technique. Simulation results reveal that, entropy based detection algorithm can detect signals of signal-to-noise ratio upto -24 dB using five nodes for detection probability Pd ≥ 0.9 and false alarm probability Pf ≤ 0.1. Sensing algorithm of single node is successfully implemented in Virtex4 FPGA.
dc.identifier.citation Procedia Engineering. v.30
dc.identifier.issn 18777058
dc.identifier.uri 10.1016/j.proeng.2012.01.863
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S1877705812008739
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/9954
dc.subject Cognitive Radio Networks
dc.subject Cooperative spectrum sensing
dc.subject Energy detection
dc.subject Entropy detection
dc.subject Field Programmable Gate Array (FPGA)
dc.subject Signal to noise ratio
dc.title Spectrum sensing using frequency domain entropy estimation and its FPGA implementation for cognitive radio
dc.type Conference Proceeding. Conference Paper
dspace.entity.type
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