Multiple Antenna Spectrum Sensing Based on GLR Detector in Cognitive Radios

被引:2
作者
Ciflikli, Cebrail [1 ]
Ilgin, Fatih Yavuz [2 ]
机构
[1] Erciyes Univ, Vocat High Sch, Elect & Automat Dept, Kayseri, Turkey
[2] Erzincan Univ, Vocat High Sch, Elect & Automat Dept, Erzincan, Turkey
关键词
Cognitive radio; Eigenvalue based detection; Spectrum sensing; MIMO-OFDM; Tracy Widom distribution; LARGEST EIGENVALUE; ENERGY DETECTION; WISHART; APPROXIMATION; MATRICES;
D O I
10.1007/s11277-019-06819-8
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
As is known, eigenvalue based spectrum sensing for multi-antenna cognitive radio systems is a highly preferred method because it requires no priori knowledge concerning the signal to be sensed. The performance of the method depends on the most accurate calculation of the test statistic and the threshold value. Regaining of the threshold values was aimed in this study in order to increase performance in generalized likelihood ratio detection based sensing. While the threshold value was calculated, the probability of false detection (P-fa) and the probability of detection were regained by using a new probability distribution function for Wishart matrices. The simulations were performed under noise uncertainty for MIMO-OFDM systems, and a noticeable performance increase was observed with the new threshold value in comparison with conventional methods.
引用
收藏
页码:1915 / 1927
页数:13
相关论文
共 26 条
[11]   On the distribution of the largest eigenvalue in principal components analysis [J].
Johnstone, IM .
ANNALS OF STATISTICS, 2001, 29 (02) :295-327
[12]   Distribution of the Ratio of the Largest Eigenvalue to the Trace of Complex Wishart Matrices [J].
Kortun, Ayse ;
Sellathurai, Mathini ;
Ratnarajah, Tharm ;
Zhong, Caijun .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (10) :5527-5532
[13]   Joint and marginal eigenvalue distributions of (Non)Central complex wishart matrices and PDF-Based approach for characterizing the capacity statistics of MIMO ricean and Rayleigh fading channels [J].
Maaref, Amine ;
Aissa, Sonia .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2007, 6 (10) :3607-3619
[14]   Cognitive radio: Making software radios more personal [J].
Mitola, J ;
Maguire, GQ .
IEEE PERSONAL COMMUNICATIONS, 1999, 6 (04) :13-18
[15]  
Mitola J. III, 1999, 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384), P3, DOI 10.1109/MOMUC.1999.819467
[17]  
Narieda S, 2017, DESIGN ENERGY DETECT
[18]   Blind eigenvalue-based spectrum sensing for cognitive radio networks [J].
Pillay, N. ;
Xu, H. J. .
IET COMMUNICATIONS, 2012, 6 (11) :1388-1396
[19]   Cooperative Spectrum Sensing Using Finite Demmel Condition Numbers [J].
Qin, Shaohua ;
Zhang, Wensheng ;
Xiong, Hailiang ;
Chen, Dongyan .
WIRELESS PERSONAL COMMUNICATIONS, 2015, 80 (01) :335-346
[20]  
Salahdine F, 2015, 2015 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND MOBILE COMMUNICATIONS (WINCOM), P286