Low power DFT filter bank based two-stage spectrum sensing
The paper presents a low power discrete Fourier transform (DFT) filter bank based two-stage spectrum sensing with energy detector (ED) for the first stage coarse sensing, complemented by a cyclostationary feature detector (CFD) for fine spectrum sensing. The dynamic power of the sensing operation de...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/102041 http://hdl.handle.net/10220/12135 |
| _version_ | 1824454647769726976 |
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| author | Nair, Prashob R. Smitha, Kavallur Gopi Vinod, Achutavarrier Prasad |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Nair, Prashob R. Smitha, Kavallur Gopi Vinod, Achutavarrier Prasad |
| author_sort | Nair, Prashob R. |
| collection | NTU |
| description | The paper presents a low power discrete Fourier transform (DFT) filter bank based two-stage spectrum sensing with energy detector (ED) for the first stage coarse sensing, complemented by a cyclostationary feature detector (CFD) for fine spectrum sensing. The dynamic power of the sensing operation depends on the sampling rate at which computations are performed. By employing polyphase DFT filter bank prior to spectrum sensing, the sampling rate can be reduced by M (the number of subbands). This in effect reduces the computational complexity of the design which consequentially leads to lowering the power consumed. As the spectrum is sensing can be done in parallel, the speed will be M times that of serial spectrum sensing algorithm. |
| first_indexed | 2025-02-19T03:25:39Z |
| format | Conference Paper |
| id | ntu-10356/102041 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:25:39Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1020412020-05-28T07:18:07Z Low power DFT filter bank based two-stage spectrum sensing Nair, Prashob R. Smitha, Kavallur Gopi Vinod, Achutavarrier Prasad School of Computer Engineering International Conference on Innovations in Information Technology (2012 : Abu Dhabi, United Arab Emirates) DRNTU::Engineering::Computer science and engineering The paper presents a low power discrete Fourier transform (DFT) filter bank based two-stage spectrum sensing with energy detector (ED) for the first stage coarse sensing, complemented by a cyclostationary feature detector (CFD) for fine spectrum sensing. The dynamic power of the sensing operation depends on the sampling rate at which computations are performed. By employing polyphase DFT filter bank prior to spectrum sensing, the sampling rate can be reduced by M (the number of subbands). This in effect reduces the computational complexity of the design which consequentially leads to lowering the power consumed. As the spectrum is sensing can be done in parallel, the speed will be M times that of serial spectrum sensing algorithm. 2013-07-25T01:27:15Z 2019-12-06T20:48:38Z 2013-07-25T01:27:15Z 2019-12-06T20:48:38Z 2012 2012 Conference Paper Smitha, K. G., Vinod, A. P., & Nair, P. R. (2012). Low power DFT filter bank based two-stage spectrum sensing. 2012 International Conference on Innovations in Information Technology (IIT). https://hdl.handle.net/10356/102041 http://hdl.handle.net/10220/12135 10.1109/INNOVATIONS.2012.6207725 en © 2012 IEEE. |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Nair, Prashob R. Smitha, Kavallur Gopi Vinod, Achutavarrier Prasad Low power DFT filter bank based two-stage spectrum sensing |
| title | Low power DFT filter bank based two-stage spectrum sensing |
| title_full | Low power DFT filter bank based two-stage spectrum sensing |
| title_fullStr | Low power DFT filter bank based two-stage spectrum sensing |
| title_full_unstemmed | Low power DFT filter bank based two-stage spectrum sensing |
| title_short | Low power DFT filter bank based two-stage spectrum sensing |
| title_sort | low power dft filter bank based two stage spectrum sensing |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/102041 http://hdl.handle.net/10220/12135 |
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