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Joint detection algorithm for multiple cognitive users in spectrum sensing
- 1 Northwestern University
- 2 Northwestern University
- 3 Nankai University
- 4 Nankai University
* Author to whom correspondence should be addressed.
Abstract
Spectrum sensing technology is a crucial aspect of modern communication technology, serving as one of the essential techniques for efficiently utilizing scarce information resources in tight frequency bands. This paper first introduces three common logical circuit decision criteria in hard decisions and analyzes their decision rigor. Building upon hard decisions, the paper further introduces a method for multi-user spectrum sensing based on soft decisions. Then the paper simulates the false alarm probability and detection probability curves corresponding to the three criteria. The simulated results of multi-user collaborative sensing indicate that the simulation process significantly reduces false alarm probability and enhances detection probability. This approach effectively detects spectrum resources unoccupied during idle periods, leveraging the concept of time-division multiplexing and rationalizing the redistribution of information resources. The entire computation process relies on the calculation principles of power spectral density in communication theory, involving threshold decision detection for noise power and the sum of noise and signal power. It provides a secondary decision detection, reflecting the perceptual decision performance of logical detection methods with relative accuracy.
Keywords
multi-user collaboration perception; energy detection; dual energy threshold; false alarm probability; detection probability
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Cite this article
Meng,F.;Wang,Y.;Zhang,L.;Zhao,Y. (2023). Joint detection algorithm for multiple cognitive users in spectrum sensing. Advances in Engineering Innovation,4,16-25.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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