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

Dey Barnali; Hossain A.; Bhattacharjee A.; Dey Rajeeb; Bera R.

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

机译：基于径向基函数网络的认知无线电中基于函数逼近的能量检测

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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.

机译：在本文中，已经尝试开发一种用于认知无线电（CR）中频谱感测的计算智能能量检测方法。所提出的方法利用径向基函数（RBF）网络的函数逼近能力来学习阈值函数，以用于错误警报的概率和样本数量的预定范围。通过该方法获得的接收机工作特性（ROC）结果已与常规能量检测方案进行了比较。从结果可以证明，由于在计算智能方面的固有缺陷，与常规方法相比，该方法在某些情况下具有更高的检测概率。

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来源
《Intelligent automation and soft computing》 |2017年第3期|393-403|共11页
作者
Dey Barnali; Hossain A.; Bhattacharjee A.; Dey Rajeeb; Bera R.;
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作者单位

Natl Inst Technol, Dept Elect & Commun Engn, Silchar, India;

Natl Inst Technol, Dept Elect & Commun Engn, Silchar, India;

Natl Inst Technol, Dept Comp Sci & Engn, Silchar, India;

Natl Inst Technol, Dept Elect Engn, Silchar, India;

Sikkim Manipal Inst Technol, Dept Elect & Commun Engn, Majitar, Sikkim, India;

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正文语种 eng
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关键词
Words; Cognitive-radio (CR); Spectrum sensing; Energy-detection; Function approximation; Radial basis function (RBF) network; Neural network;

机译：单词;认知无线电（CR）;频谱感测;能量检测;函数逼近;径向基函数（RBF）网络;神经网络;

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专利

1. Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks [J] . Tianping Chen, Hong Chen IEEE Transactions on Neural Networks . 1995,第4期

机译：径向基函数神经网络对多个变量，非线性函数和算子的逼近能力
2. Nonlinear Systems Approximation Using a Piecewise Affine Model Based on a Radial Basis Functions Network [J] . Masaru SAKAMOTO, DUO DONG, Takashi HAMAGUCHI Journal of Chemical Engineering of Japan . 2006,第10期

机译：基于径向基函数网络的分段仿射模型的非线性系统逼近
3. Nonlinear Systems Approximation Using a Piecewise Affine Model Based on a Radial Basis Functions Network [J] . Duo Dong, Masaru Sakamoto, Takashi Hamaguchi, Journal of Chemical Engineering of Japan . 2006,第10期

机译：基于径向基函数网络的分段仿射模型的非线性系统逼近
4. Design of Cognitive Engine for Cognitive Radio Based on the Rough Sets and Radial Basis Function Neural Network [C] . Yanchao Yang, Hong Jiang, Congbin Liu, International conference on graphic and image processing . 2013

机译：基于粗糙集和径向基函数神经网络的认知无线电认知引擎设计。
5. Approximation and interpolation employing divergence-free radial basis functions with applications. [D] . Lowitzsch, Svenja. 2002

机译：应用无散度径向基函数进行逼近和插值。
6. A Novel Utility Function for Energy-Efficient Power Control Game in Cognitive Radio Networks [O] . Yousef Ali Al-Gumaei, Kamarul Ariffin Noordin, Ahmed Wasif Reza, -1

机译：认知无线电网络中用于节能型功率控制游戏的新型效用函数
7. Adaptive Linear and Normalized Combination of Radial Basis Function Networks for Function Approximation and Regression [O] . Yunfeng Wu, Xin Luo, Fang Zheng, 2014

机译：径向基函数网络的自适应线性和归一化组合，用于函数近似和回归

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

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