Academic Journal

Novel Spectrum Sensing Algorithms for OFDM Cognitive Radio Networks

التفاصيل البيبلوغرافية
العنوان: Novel Spectrum Sensing Algorithms for OFDM Cognitive Radio Networks
المؤلفون: Zhenguo Shi, Zhilu Wu, Zhendong Yin, Qingqing Cheng
المصدر: Sensors, Vol 15, Iss 6, Pp 13966-13993 (2015)
بيانات النشر: MDPI AG, 2015.
سنة النشر: 2015
المجموعة: LCC:Chemical technology
مصطلحات موضوعية: cognitive radio, spectrum sensing, OFDM, CP detection, PT detection, Chemical technology, TP1-1185
الوصف: Spectrum sensing technology plays an increasingly important role in cognitive radio networks. Consequently, several spectrum sensing algorithms have been proposed in the literature. In this paper, we present a new spectrum sensing algorithm “Differential Characteristics-Based OFDM (DC-OFDM)” for detecting OFDM signal on account of differential characteristics. We put the primary value on channel gain Ɵ around zero to detect the presence of primary user. Furthermore, utilizing the same method of differential operation, we improve two traditional OFDM sensing algorithms (cyclic prefix and pilot tones detecting algorithms), and propose a “Differential Characteristics-Based Cyclic Prefix (DC-CP)” detector and a “Differential Characteristics-Based Pilot Tones (DC-PT)” detector, respectively. DC-CP detector is based on auto-correlation vector to sense the spectrum, while the DC-PT detector takes the frequency-domain cross-correlation of PT as the test statistic to detect the primary user. Moreover, the distributions of the test statistics of the three proposed methods have been derived. Simulation results illustrate that all of the three proposed methods can achieve good performance under low signal to noise ratio (SNR) with the presence of timing delay. Specifically, the DC-OFDM detector gets the best performance among the presented detectors. Moreover, both of the DC-CP and DC-PT detector achieve significant improvements compared with their corresponding original detectors.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1424-8220
15061396
Relation: http://www.mdpi.com/1424-8220/15/6/13966; https://doaj.org/toc/1424-8220
DOI: 10.3390/s150613966
URL الوصول: https://doaj.org/article/3cdf29a63ad849c796dabe5f0374aa8a
رقم الانضمام: edsdoj.3cdf29a63ad849c796dabe5f0374aa8a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14248220
15061396
DOI:10.3390/s150613966