Publication Type : Journal Article
Publisher : International Journal of Applied Engineering Research
Source : International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 9 (2017) pp. 1831-1835
Campus : Chennai
School : School of Engineering
Center : Amrita Innovation & Research
Department : Electronics and Communication
Verified : Yes
Year : 2017
Abstract : Cognitive radio has potential to efficiently use the frequency band allotted to the licensed user (primary user) in order to minimize the problem of inefficient spectrum usage. In this paper, proposed work is the combination of the two well-known detection methods: energy detection (ED) and combination of maximum- minimum eigenvalue detection (CMME). First stage consist of energy detector to identify the existence of the primary user by comparing the received signal to the fixed threshold. When primary user is active in spectrum the signal will always greater than threshold to indicate the presence of primary user and vice versa. In second stage combination of maximum-minimum eigenvalue used to detect the primary user and using random matrix theory threshold for second stage is determined. Proposed work can be used to minimize the probability of false alarm, improved sensing time and better probability of detection.
Cite this Research Publication : Gajendra Singh Rathore&SitadeviBharatula, “Efficient Multi Stage Spectrum Sensing Technique for Cognitive Radio Networks Under Noisy Condition”, 2017, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 9 (2017) pp. 1831-1835