Function approximation based energy detection in cognitive radio using radial basis function network

被引：2
|
作者：
Dey, Barnali [1 ]
Hossain, A. [1 ]
Bhattacharjee, A. [2 ]
Dey, Rajeeb [3 ]
Bera, R. [4 ]
机构：
[1] Natl Inst Technol, Dept Elect & Commun Engn, Silchar, India
[2] Natl Inst Technol, Dept Comp Sci & Engn, Silchar, India
[3] Natl Inst Technol, Dept Elect Engn, Silchar, India
[4] Sikkim Manipal Inst Technol, Dept Elect & Commun Engn, Majitar, Sikkim, India
来源：
INTELLIGENT AUTOMATION AND SOFT COMPUTING | 2017年 / 23卷 / 03期
关键词：
Words; Cognitive-radio (CR); Spectrum sensing; Energy-detection; Function approximation; Radial basis function (RBF) network; Neural network; SIGNALS;
D O I：
10.1080/10798587.2016.1217632
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 this paper an attempt has been made to evolve a computationally intelligent energy detection method for spectrum sensing in Cognitive Radio (CR). The proposed method utilizes the function approximation capability of radial basis function (RBF) network to learn the threshold function for a pre-determined range of probability of false alarm and number of samples. The receiver operating characteristic (ROC) results obtained by the proposed method have been compared with the conventional energy detection scheme. It is validated from the results that, the proposed method provides enhanced probability of detection in some cases compared to the conventional one due to its inherent shortcoming in terms of computational intelligence.
引用
收藏
页码：393 / 403
页数：11
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