Ayoub, Z.; Khalil, G.; Aziz, A. Spectrum Sensing Using Cooperative Matched Filter Detector in Cognitive Radio. Preprints2022, 2022060319. https://doi.org/10.20944/preprints202206.0319.v1
APA Style
Ayoub, Z., Khalil, G., & Aziz, A. (2022). Spectrum Sensing Using Cooperative Matched Filter Detector in Cognitive Radio. Preprints. https://doi.org/10.20944/preprints202206.0319.v1
Chicago/Turabian Style
Ayoub, Z., Ghaith Khalil and Ayoob Aziz. 2022 "Spectrum Sensing Using Cooperative Matched Filter Detector in Cognitive Radio" Preprints. https://doi.org/10.20944/preprints202206.0319.v1
Abstract
The vast rise in the number of Internet-connected devices necessitates a more accessible spectrum. As a result, Cognitive Radio was already proposed as a solution to the problem of restricted spectrum resources by utilizing available spectrum which is assigned to primary users. This method allows the secondary user to utilize the spectrum whenever the primary user is not using it, and it does so without intruding with the primary user. Whenever the secondary user detects the spectrum, it faced some issues, such as complexity in sensing leading to a lack of noise value, and the primary user is hidden to all secondary users. In order to tackle these challenges, an adaptive threshold matched filter detector and a cooperative matched filter detector are utilized in this paper to detect the spectrum. The probability of detection (Pd), probability of miss detection (Pm), and probability of false alarm (Pf) are the metrics used to assess sensing accuracy. To simulate suggested detectors, the MATLAB R2020a software was utilized. In comparison to earlier studies, the simulation conclusions reveal that the detection process starts with lower SNR values.
Keywords
Cognitive Radio; MATLAB; WSN; Spectrum; Radio Frequency
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
