Joint time-frequency spectrum sensing for Cognitive Radio

2010 ◽  
Author(s):  
Wael Guibene ◽  
Aawatif Hayar
Keyword(s):  
Cognitive Radio ◽  
Frequency Spectrum ◽  
Spectrum Sensing ◽  
Time Frequency

scholarly journals A Compact Novel Three-Port Integrated Wide and Narrow Band Antennas System for Cognitive Radio Applications

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
N. Anvesh Kumar ◽  
A. S. Gandhi
Keyword(s):  
Cognitive Radio ◽  
Wireless Communication ◽  
Frequency Spectrum ◽  
Spectrum Sensing ◽  
Frequency Band ◽  
Return Loss ◽  
Narrow Band ◽  
Experimental Results ◽  
Uwb Antenna ◽  
Good Agreement

The design of a three-port radiating structure, integrating wide and narrow band antennas for cognitive radio applications, is presented. It consists of a UWB antenna for spectrum sensing and two narrow band antennas for wireless communication integrated on the same substrate. The UWB antenna covers the complete UWB spectrum (3.1 GHz to 10.6 GHz) approved by FCC. In the two narrow band antennas, each antenna presents dual bands. In particular, the first narrowband antenna resonates at 6.5 GHz, covering the frequency band between 6.36 GHz and 6.63 GHz, and at 9 GHz, covering the frequency band between 8.78 GHz and 9.23 GHz, presenting minimum return loss values of 28.3 dB at 6.5 GHz and 20.5 dB at 9 GHz, respectively. Similarly, the second one resonates at 7.5 GHz, covering the frequency band between 7.33 GHz and 7.7 GHz, and at 9.5 GHz, covering the frequency band between 9.23 GHz and 9.82 GHz, presenting minimum return loss values of 19.6 dB at 7.5 GHz and 28.8 dB at 9.5 GHz, respectively. Isolation among the three antennas is less than −20 dB over the UWB frequency spectrum. These antennas are realized on a FR4 substrate of dimensions 30 mm × 30 mm × 1.6 mm. Experimental results show a good agreement between the simulated and measured results.

Single Acoustic Sensor-Based Time–Frequency Spectrum Sensing Approach for Land Vehicle Detection

2020 ◽  
Vol 20 (13) ◽  
pp. 7275-7282
Author(s):  
Shailesh Mohine ◽  
Babankumar S. Bansod ◽  
Pravendra Kumar ◽  
Rakesh Bhalla ◽  
Anshul Basra
Keyword(s):  
Frequency Spectrum ◽  
Spectrum Sensing ◽  
Vehicle Detection ◽  
Acoustic Sensor ◽  
Time Frequency ◽  
Land Vehicle

scholarly journals Cognitive Radio Principles and Spectrum Sensing

2019 ◽  
Vol 8 (6) ◽  
pp. 4294-4298
Keyword(s):  
Cognitive Radio ◽  
Frequency Spectrum ◽  
Spectrum Sensing ◽  
Software Defined Radio ◽  
Radio Network ◽  
Design And Implementation ◽  
The Difference ◽  
Available Resources

Cognitive Radio is an all intelligent radio network that is advancement over the conventional radio. The difference between the traditional radio and cognitive radio is that all the unused frequency spectrum is utilized to the best of available resources in the cognitive setusp unlike the traditional radio. The major advantage of the cognitive radio is that it can detect channels that are available from the spectrum and modify the parameters used for transmission so that the several unused frequencies can be used concurrently. The research conducted on the cognitive radio is in its primitive stages. However, the need of the hour is the detailed surveys and descriptions of the cognitive radio sensing mechanisms. The operating behavior of the radio will also be improved using the cognitive radio. This paper details the sensing and interference mechanisms of the cognitive radio and explains how and why the cognitive setup is far excellent compared to the conventional radios. There are numerous technologies used in the cognitive radio setup such as the Adaptive radio and Software Defined Radio (SDR). The applications of the findings of this paper can be extended to cognitive radio design and implementation

scholarly journals Effective Usage of Available Spectrum Using Dispersion Detection Technique

2020 ◽  
Author(s):  
Durga R ◽  
Selvaraj D
Keyword(s):  
Cognitive Radio ◽  
False Alarm ◽  
Frequency Spectrum ◽  
Spectrum Sensing ◽  
False Alarm Probability ◽  
Detection Technique ◽  
Decision Threshold ◽  
Multiple Antenna ◽  
Test Statistic ◽  
A New Technique

Spectrum sensing techniques are used for aquising the frequency spectrum in cognitive radio. From research, the efficiency of the spectrum sensing technique increases only if its complexity is increased and if its complexity is decreased then its efficiency decreases. so, a new technique is proposed in this paper based on Dispersion Detection (DD) to balance both complexity and efficiency. Using this detection technique, the false alarm probability is derived for multiple antenna using test statistic distribution. The decision threshold is derived to provide the accurate results. The derived values are verified with Monto Carlo simulation.

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