Improved MB Cognitive Radio Spectrum Sensing Using Wavelet Spectrum Filtering

In cognitive radio (CR), the sensed aggregate bandwidth could be as large as several GHz. This is especially challenging if the bandwidths and central frequencies of the sensed signals are unknown ...

[1]  Venugopal V. Veeravalli,et al.  Cooperative Spectrum Sensing and Detection for Cognitive Radio , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[2]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[3]  Gulshan Kumar,et al.  Advanced Multiresolution Wavelet Based Wideband Spectrum Sensing Technique for Cognitive Radio , 2018, Wirel. Commun. Mob. Comput..

[4]  Georgios B. Giannakis,et al.  A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios , 2006, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[5]  Lei Zhang,et al.  Edge detection by scale multiplication in wavelet domain , 2002, Pattern Recognit. Lett..

[6]  Chandra R. Murthy,et al.  Performance comparison of energy, matched-filter and cyclostationarity-based spectrum sensing , 2010, 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[7]  Moshe T. Masonta,et al.  Spectrum Decision in Cognitive Radio Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[8]  Luigi Ferrigno,et al.  Analysis and implementation of a wavelet based spectrum sensing method for low SNR scenarios , 2016, 2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[9]  Guosen Yue,et al.  Efficient Channel Search Algorithms for Cognitive Radio in a Multichannel System , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[10]  Said Esmail El-Khamy,et al.  A stationary wavelet transform approach to compressed spectrum sensing in cognitive radio , 2017, Int. J. Commun. Syst..

[11]  Manobendu Sarker.  Hilbert transform based edge detection approach for wideband spectrum sensing in cognitive radios , 2016, 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[12]  Yuanan Liu,et al.  Wideband Spectrum Sensing for Cognitive Radios: A Multistage Wiener Filter Perspective , 2015, IEEE Signal Processing Letters.

[13]  Habeeb Bello-Salau,et al.  An Adaptive Wavelet-Based Scale Space Filtering Algorithm for Spectrum Sensing in Cognitive Radio , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[14]  Said Esmail El-Khamy,et al.  Improved wideband spectrum sensing techniques using wavelet-based edge detection for cognitive radio , 2013, 2013 International Conference on Computing, Networking and Communications (ICNC).

[15]  G. Staple,et al.  The end of spectrum scarcity [spectrum allocation and utilization] , 2004, IEEE Spectrum.

[16]  Abhishek Kumar,et al.  Improved wavelet transform based edge detection for wide band spectrum sensing in Cognitive Radio , 2016, 2016 USNC-URSI Radio Science Meeting.

[17]  Antonio Ortega,et al.  Wavelet-based compressed spectrum sensing for cognitive radio wireless networks , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[18]  Marc Moonen,et al.  Analytical Expressions for the Power Spectral Density of CP-OFDM and ZP-OFDM Signals , 2010, IEEE Signal Processing Letters.

[19]  Yonghong Zeng,et al.  Edge based wideband sensing for cognitive radio: Algorithm and performance evaluation , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).