A Jarque-Bera test based spectrum sensing for cognitive radio
- Resource Type
- Conference
- Authors
- Subekti, A.; Sugihartono; Rachmana, N.S.; Suksmono, A.B.
- Source
- 2014 8th International Conference on Telecommunication Systems Services and Applications (TSSA) Telecommunication Systems Services and Applications (TSSA), 2014 8th International Conference on. :1-4 Oct, 2014
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Robotics and Control Systems
Signal Processing and Analysis
Cognitive radio
Signal to noise ratio
Detectors
Probability density function
Digital TV
- Language
A cognitive radio has to perform spectrum sensing to detect the vacant channel. The detection faces some challenges due to the required performance and limited knowledge on the primary signals and the channel. In this paper we proposed a blind spectrum sensing method for cognitive radio network. The proposed method based on the difference on distribution of the condition between when the transmission from primary user is active and when it's inactive. If it is inactive, the received signal will contain only noise. The distribution of noise which is Gaussian, differs from the distribution of signal which is contaminated with noise. The Jarque-Bera (JB) test is used for the detection of the event. The target of the analysis is both the real and the imaginary parts of FFT's output. The proposed algorithm was tested to detect the DTV signal. Results show that our method is performed better than previous similar method.