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 | |
| 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 |
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All Science Journal Classification (ASJC) codes
- Software
Cite this
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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
TY - GEN
T1 - An alternative selection based detection method for spectrum sensing for cognitive radio
AU - Abdul Rahim, V. C.
AU - Mruthyunjaya, H. S.
AU - Vishnamurthy Kedalya, K.
PY - 2013
Y1 - 2013
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84893252062&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893252062&partnerID=8YFLogxK
U2 - 10.1109/ICACC.2013.23
DO - 10.1109/ICACC.2013.23
M3 - Conference contribution
SN - 9780769550336
SP - 90
EP - 93
BT - Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013
ER -