Title :
Research of Spectrum Sensing Based on ANN Algorithm
Author :
Zhilu Wu ; Man Luo ; Zhendong Yin ; Yuanjun Zhao
Author_Institution :
Sch. of Electron. & Inf. Eng., Harbin Inst. of Univ., Harbin, China
Abstract :
According to signal characteristic of Unified S-band (USB) measurement and control system, a method of spectrum sensing based on artificial neural network (ANN) is introduced in this paper. Spectrum sensing classifier is designed by the independent learning ability of ANN. The information collected by departed classifier is studied and stored to accurately judge that whether the master signal exists or not. With comparison and analysis, it can be proved that the spectrum sensing based on ANN possesses a higher accuracy.
Keywords :
learning (artificial intelligence); neural nets; radio spectrum management; signal classification; signal detection; telecommunication computing; ANN algorithm; USB measurement; artificial neural network; control system; independent learning ability; master signal; signal characteristic; spectrum sensing classifier; unified S-band measurement; Artificial neural networks; Binary phase shift keying; Classification algorithms; Satellite broadcasting; Satellites; Sensors; Universal Serial Bus; ANN; USB; self-learning classifier; spectrum sensing;
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-6574-8
DOI :
10.1109/IMCCC.2014.107
