Volume 11 - Volume 11
Effective Channel Detection at Low SNR in Cognitive Radio Network Using Matched Filter Approach and Compare with Energy Detection – based Approach
Abstract
Aim: The study aims to detect the effective channel in cognitive radio network at low SNR using an
innovative algorithm based on matched filter detection and compared it with energy detection.
Materials and methods: The spectrum sensing based on novel matched filter detection with 10
samples is compared with the energy detection by varying the SNR conditions, using MATLAB.
Results: The probability of detection of the matched filter is high at low SNR(-30db) then compared
to the probability of detection of energy detection at low SNR(-10db) and the significance level is
0.002, i.e., (P<0.05) which gives better sensing performance. Conclusion: this would be proved to
conclude that at low SNR conditions the matched filter detection gives significantly high sensing
probability.
Paper Details
PaperID: 1762
Author's Name: Kandlagunta Tejesh and P. Shyamala Bharathi
Volume: Volume 11
Issues: Volume 11
Keywords: Cognitive Radio Network, Signal to Noise Ratio, Innovative Algorithm, Matched Filter, Spectrum Sensing, Energy Detection, Probability of Detection.
Year: 2021
Month: April
Pages: 1349-1361