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Title: :  Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB
PaperId: :  7984
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 2 2018
DUI:    16.0415/IJARIIE-7984
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Punit KumarThe National Institute of Engineering
Sanjana CThe National Institute of Engineering
R MeghaThe National Institute of Engineering
Rahul KumarThe National Institute of Engineering

Abstract

Signal Processing
Cognitive radio, Spectrum sensing, Matched filter, Signal to Noise Ratio, Primary user
In Cognitive Radio Network, when the secondary user or unlicensed user want to access the spectrum band, it is required to detect the spectrum holes or unused frequency bands. The spectral resolution like bandwidth, pulse type etc is computed at a later stage and then if it matches the requirements, the unused spectrum is allocated to the secondary user. The primary user is having the highest priority in using the spectrum band. The term cognitive radio refers to the adoption of radio parameters using the sensed information of the spectrum. There are various spectrum sensing techniques proposed in the literature but still there is room for researchers in this field to explore more sophisticated approaches. There are three major categories of spectrum sensing techniques; transmitter detection, receiver detection and interference temperature detection. This paper presents an implementation technique suggested in the literature for spectrum sensing with a performance analysis of matched filter detection technique.

Citations

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IJARIIE Punit Kumar, Sanjana C, R Megha, and Rahul Kumar. "Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 2 2018 Page 3009-3014
MLA Punit Kumar, Sanjana C, R Megha, and Rahul Kumar. "Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB." International Journal Of Advance Research And Innovative Ideas In Education 4.2(2018) : 3009-3014.
APA Punit Kumar, Sanjana C, R Megha, & Rahul Kumar. (2018). Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB. International Journal Of Advance Research And Innovative Ideas In Education, 4(2), 3009-3014.
Chicago Punit Kumar, Sanjana C, R Megha, and Rahul Kumar. "Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 2 (2018) : 3009-3014.
Oxford Punit Kumar, Sanjana C, R Megha, and Rahul Kumar. 'Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, 2018, p. 3009-3014. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Matched_Filter_Spectrum_Sensing_in_Cognitive_Radio_Networking_using_MATLAB_ijariie7984.pdf (Accessed : 12 April 2018).
Harvard Punit Kumar, Sanjana C, R Megha, and Rahul Kumar. (2018) 'Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB', International Journal Of Advance Research And Innovative Ideas In Education, 4(2), pp. 3009-3014IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Matched_Filter_Spectrum_Sensing_in_Cognitive_Radio_Networking_using_MATLAB_ijariie7984.pdf (Accessed : 12 April 2018)
IEEE Punit Kumar, Sanjana C, R Megha, and Rahul Kumar, "Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, pp. 3009-3014, Mar-App 2018. [Online]. Available: http://ijariie.com/AdminUploadPdf/Matched_Filter_Spectrum_Sensing_in_Cognitive_Radio_Networking_using_MATLAB_ijariie7984.pdf [Accessed : 12 April 2018].
Turabian Punit Kumar, Sanjana C, R Megha, and Rahul Kumar. "Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 2 (12 April 2018).
Vancouver Punit Kumar, Sanjana C, R Megha, and Rahul Kumar. Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 12 April 2018]; 4(2) : 3009-3014. Available from: http://ijariie.com/AdminUploadPdf/Matched_Filter_Spectrum_Sensing_in_Cognitive_Radio_Networking_using_MATLAB_ijariie7984.pdf
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