Joint Detection Algorithm for Multiple Cognitive Users in Spectrum Sensing

التفاصيل البيبلوغرافية
العنوان: Joint Detection Algorithm for Multiple Cognitive Users in Spectrum Sensing
المؤلفون: Meng, Fanfei, Wang, Yuxin, Zhang, Lele, Zhao, Yingxin
المصدر: Advances in Engineering Innovation, Vol. 4, 16-25, Published 27 November 2023
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence
الوصف: 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.
Comment: https://aei.ewapublishing.org/article.html?pk=e24c40d220434209ae2fe2e984bcf2c2
نوع الوثيقة: Working Paper
DOI: 10.54254/2977-3903/4/2023053.
URL الوصول: http://arxiv.org/abs/2311.18599
رقم الانضمام: edsarx.2311.18599
قاعدة البيانات: arXiv
الوصف
DOI:10.54254/2977-3903/4/2023053.