A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors
Efficient spectrum sensing plays a vital role in opportunistic and dynamic spectrum access for cognitive radios. Several spectrum sensing algorithms based on energy detection, matched filtering and autocorrelation based feature detection have therefore been proposed in the literature. All these algo...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/97713 http://hdl.handle.net/10220/11943 |
| _version_ | 1811692876025823232 |
|---|---|
| author | Altaf Ahmed, Syed Naveen Meher, Pramod Kumar Vinod, Achutavarrier Prasad |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Altaf Ahmed, Syed Naveen Meher, Pramod Kumar Vinod, Achutavarrier Prasad |
| author_sort | Altaf Ahmed, Syed Naveen |
| collection | NTU |
| description | Efficient spectrum sensing plays a vital role in opportunistic and dynamic spectrum access for cognitive radios. Several spectrum sensing algorithms based on energy detection, matched filtering and autocorrelation based feature detection have therefore been proposed in the literature. All these algorithms tend to have higher complexity for achieving better sensing performance, which requires higher computing power and/or more sensing time. Moreover they are not flexible enough to dynamically trade complexity with sensing performance. In this paper, we present a novel low-complexity spectrum sensing technique based on correlation of intra-segment decimated vectors. The primary signal to be detected is sampled at a particular frequency, and digitized samples are segmented and decimated by suitable decimation index. The means of resulting vectors are correlated to detect the presence of the signal. MATLAB simulations of the proposed technique have been carried out to validate the proposed technique. Single-tone and Multi-tone signal at a 25MHz IF frequency and ATSC DTV (in UHF) signal and PAL-B Analog TV (in VHF) signal are down-converted to 25MHz IF frequency, and used to validate the proposed detection technique. Not only the proposed scheme is found to able to detect the presence of a signal effectively, but also the complexity of the proposed scheme is only nearly 1/10th of the complexity (for vector length n = 10) of the simplest of the existing correlation based technique. |
| first_indexed | 2024-10-01T06:42:45Z |
| format | Conference Paper |
| id | ntu-10356/97713 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:42:45Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/977132020-05-28T07:18:07Z A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors Altaf Ahmed, Syed Naveen Meher, Pramod Kumar Vinod, Achutavarrier Prasad School of Computer Engineering IEEE International Conference on Communication Systems (2012 : Singapore) DRNTU::Engineering::Computer science and engineering Efficient spectrum sensing plays a vital role in opportunistic and dynamic spectrum access for cognitive radios. Several spectrum sensing algorithms based on energy detection, matched filtering and autocorrelation based feature detection have therefore been proposed in the literature. All these algorithms tend to have higher complexity for achieving better sensing performance, which requires higher computing power and/or more sensing time. Moreover they are not flexible enough to dynamically trade complexity with sensing performance. In this paper, we present a novel low-complexity spectrum sensing technique based on correlation of intra-segment decimated vectors. The primary signal to be detected is sampled at a particular frequency, and digitized samples are segmented and decimated by suitable decimation index. The means of resulting vectors are correlated to detect the presence of the signal. MATLAB simulations of the proposed technique have been carried out to validate the proposed technique. Single-tone and Multi-tone signal at a 25MHz IF frequency and ATSC DTV (in UHF) signal and PAL-B Analog TV (in VHF) signal are down-converted to 25MHz IF frequency, and used to validate the proposed detection technique. Not only the proposed scheme is found to able to detect the presence of a signal effectively, but also the complexity of the proposed scheme is only nearly 1/10th of the complexity (for vector length n = 10) of the simplest of the existing correlation based technique. 2013-07-22T03:45:19Z 2019-12-06T19:45:47Z 2013-07-22T03:45:19Z 2019-12-06T19:45:47Z 2012 2012 Conference Paper Altaf Ahmed, S. N., Meher, P. K., & Vinod, A. P. (2012). A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors. 2012 IEEE International Conference on Communication Systems (ICCS). https://hdl.handle.net/10356/97713 http://hdl.handle.net/10220/11943 10.1109/ICCS.2012.6406187 en © 2012 IEEE. |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Altaf Ahmed, Syed Naveen Meher, Pramod Kumar Vinod, Achutavarrier Prasad A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors |
| title | A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors |
| title_full | A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors |
| title_fullStr | A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors |
| title_full_unstemmed | A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors |
| title_short | A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors |
| title_sort | low complexity spectrum sensing technique for cognitive radios based on correlation of intra segment decimated vectors |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/97713 http://hdl.handle.net/10220/11943 |
| work_keys_str_mv | AT altafahmedsyednaveen alowcomplexityspectrumsensingtechniqueforcognitiveradiosbasedoncorrelationofintrasegmentdecimatedvectors AT meherpramodkumar alowcomplexityspectrumsensingtechniqueforcognitiveradiosbasedoncorrelationofintrasegmentdecimatedvectors AT vinodachutavarrierprasad alowcomplexityspectrumsensingtechniqueforcognitiveradiosbasedoncorrelationofintrasegmentdecimatedvectors AT altafahmedsyednaveen lowcomplexityspectrumsensingtechniqueforcognitiveradiosbasedoncorrelationofintrasegmentdecimatedvectors AT meherpramodkumar lowcomplexityspectrumsensingtechniqueforcognitiveradiosbasedoncorrelationofintrasegmentdecimatedvectors AT vinodachutavarrierprasad lowcomplexityspectrumsensingtechniqueforcognitiveradiosbasedoncorrelationofintrasegmentdecimatedvectors |