An alternative selection based detection method for spectrum sensing for cognitive radio

V. C. Abdul Rahim; H. S. Mruthyunjaya; K. Vishnamurthy Kedalya

doi:10.1109/ICACC.2013.23

An alternative selection based detection method for spectrum sensing for cognitive radio

V. C. Abdul Rahim, H. S. Mruthyunjaya, K. Vishnamurthy Kedalya

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

For a cognitive radio, its primary task is to find unutilized portion of the spectrum more precisely for successful implementation of dynamic spectrum sensing. In this paper, first a comparison of two spectrum sensing techniques namely energy detection and covariance absolute value detection method is done for various input data. A new spectrum sensing method named as an alternative selection based detection method which comprises of both energy detection and covariance absolute value detection method to improve the detection probability is described. The simulation results prove that the performance of an alternative selection based detection method is better compared to energy detection and covariance absolute value detection method alone.

Original language	English
Title of host publication	Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013
Pages	90-93
Number of pages	4
DOIs	https://doi.org/10.1109/ICACC.2013.23
Publication status	Published - 2013
Event	2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013 - Kochi, Kerala, India Duration: 29-08-2013 → 31-08-2013

Conference

Conference	2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013
Country	India
City	Kochi, Kerala
Period	29-08-13 → 31-08-13

All Science Journal Classification (ASJC) codes

Software

Access to Document

10.1109/ICACC.2013.23

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title = "An alternative selection based detection method for spectrum sensing for cognitive radio",

abstract = "For a cognitive radio, its primary task is to find unutilized portion of the spectrum more precisely for successful implementation of dynamic spectrum sensing. In this paper, first a comparison of two spectrum sensing techniques namely energy detection and covariance absolute value detection method is done for various input data. A new spectrum sensing method named as an alternative selection based detection method which comprises of both energy detection and covariance absolute value detection method to improve the detection probability is described. The simulation results prove that the performance of an alternative selection based detection method is better compared to energy detection and covariance absolute value detection method alone.",

author = "{Abdul Rahim}, {V. C.} and Mruthyunjaya, {H. S.} and {Vishnamurthy Kedalya}, K.",

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pages = "90--93",

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Abdul Rahim, VC, Mruthyunjaya, HS & Vishnamurthy Kedalya, K 2013, An alternative selection based detection method for spectrum sensing for cognitive radio. in Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013., 6686344, pp. 90-93, 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013, Kochi, Kerala, India, 29-08-13. https://doi.org/10.1109/ICACC.2013.23

An alternative selection based detection method for spectrum sensing for cognitive radio. / Abdul Rahim, V. C.; Mruthyunjaya, H. S.; Vishnamurthy Kedalya, K.

Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013. 2013. p. 90-93 6686344.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - For a cognitive radio, its primary task is to find unutilized portion of the spectrum more precisely for successful implementation of dynamic spectrum sensing. In this paper, first a comparison of two spectrum sensing techniques namely energy detection and covariance absolute value detection method is done for various input data. A new spectrum sensing method named as an alternative selection based detection method which comprises of both energy detection and covariance absolute value detection method to improve the detection probability is described. The simulation results prove that the performance of an alternative selection based detection method is better compared to energy detection and covariance absolute value detection method alone.

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