Improved wavelet transform based edge detection for wide band spectrum sensing in Cognitive Radio

2016 ◽  
Author(s):  
Abhishek Kumar ◽  
Seemanti Saha ◽  
Rajarshi Bhattacharya
Keyword(s):  
Wavelet Transform ◽  
Cognitive Radio ◽  
Edge Detection ◽  
Spectrum Sensing ◽  
Wide Band ◽  
Band Spectrum

Optimization and experimental characterization of novel measurement methods for wide-band spectrum sensing in cognitive radio applications

Measurement ◽  
2016 ◽  
Vol 94 ◽  
pp. 585-601 ◽  
Author(s):  
Leopoldo Angrisani ◽  
Domenico Capriglione ◽  
Gianni Cerro ◽  
Luigi Ferrigno ◽  
Gianfranco Miele
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Wide Band ◽  
Measurement Methods ◽  
Band Spectrum ◽  
Experimental Characterization

In-band Spectrum Sensing without Quiet Period for OFDM System in Cognitive Radio

2011 ◽  
Vol 30 (11) ◽  
pp. 2638-2641
Author(s):  
Dong Chen ◽  
Jian-dong Li ◽  
Ji-yong Pang ◽  
Jing Ma
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Band Spectrum ◽  
Quiet Period ◽  
Ofdm System

Performance Evaluation of SDR Blade RF using Wide-band Monopole Antenna for Spectrum Sensing Applications

2021 ◽  
Vol 36 (4) ◽  
pp. 419-424
Author(s):  
Ahmed Ibrahim ◽  
Wael Ali ◽  
Hassan Aboushady
Keyword(s):  
Performance Evaluation ◽  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Software Defined Radio ◽  
Ground Plane ◽  
Wide Band ◽  
Monopole Antenna ◽  
Antenna Design ◽  
Wireless Technologies ◽  
Sensing Applications

A spectrum-sensing algorithm is used to detect the available and the occupied frequency bands. The wideband antenna design approach is used for a microstrip fed monopole antenna that can be used for various wireless technologies such as GSM, UMTS, LTE, and WiFi operating at different frequencies from 1.25 to 3 GHz. The antenna is constructed from two copper layers of rectangular radiator and a partial ground plane. These layers are printed on an RO4003 substrate with dimensions 60 x 80 mm2. The antenna is experimentally fabricated to verify the simulation predictions and good matching between simulated and measured results is achieved. The wide-band antenna is tested by connecting it to the receiver of the Blade-RF Software Defined Radio (SDR) platform. A matlab script is then used to control the SDR board and to perform Spectrum Sensing for Cognitive Radio Applications.

scholarly journals Spectrum Sensing in Cognitive Radio using Frequency Domain

2019 ◽  
Vol 9 (2) ◽  
pp. 3475-3477
Keyword(s):  
Cognitive Radio ◽  
Frequency Domain ◽  
Spectrum Sensing ◽  
Bandwidth Allocation ◽  
Dynamic Spectrum Access ◽  
Signal To Noise Ratio ◽  
Wide Band ◽  
Energy Detection ◽  
Secondary Users ◽  
Sensing Applications

An efficient bandwidth allocation and dynamic bandwidth access away from its previous limits is referred as cognitive radio (CR).The limited spectrum with inefficient usage requires the advances of dynamic spectrum access approach, where the secondary users are authorized to utilize the unused temporary licensed spectrum. For this reason it is essential to analyze the absence/presence of primary users for spectrum usage. So spectrum sensing is the main requirement and developed to sense the absence/ presence of a licensed user. This paper shows the design model of energy detection based spectrum sensing in frequency domain utilizing Binary Symmetric Channel (BSC) ,Additive white real Gaussian channel (AWGN), Rayleigh fading channel users for 16-Quadrature Amplitude Modulation(QAM) which is utilized for the wide band sensing applications at low Signal to noise Ratio(SNR) level to reduce the false error identification. The spectrum sensing techniques has least computational complexity. Simulink model for the energy detection based spectrum sensing using frequency domain in MATLAB 2014a.

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