Non-parametric Blind Spectrum Sensing Based on Censored Observations for Cognitive radio

被引：3
|
作者：
Patel, D. K. [1 ]
Trivedi, Y. N. [1 ]
机构：
[1] Nirma Univ, Inst Technol, Dept Elect Engn, Ahmadabad, Gujarat, India
来源：
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY | 2015年 / 78卷 / 03期
关键词：
Spectrum sensing; Goodness of fit test; Quasi-static channel; Censored data; STATISTICS;
D O I：
10.1007/s11265-014-0887-y
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In cognitive radio, spectrum sensing is a challenging task. In this paper, a spectrum sensing method based on censored observations is proposed. We call it as Censored Anderson Darling (CAD) sensing. We present the performance of the CAD sensing method with receiver operating characteristics (ROC) in fading channels using simulations. It is observed that the proposed method outperforms the conventional energy detection (ED) at lower signal to noise ratio. It also provides better detection performance compared to Ordered Statistics (OS) based sensing method. We also use the CAD sensing method assuming noise uncertainty. It means noise variance at secondary user(SU) is unknown. We call it as Blind CAD sensing (B-CAD). We also show that the B-CAD outperforms the energy detection.
引用
收藏
页码：275 / 281
页数：7
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