Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012 |
| Seiten | 435-439 |
| Seitenumfang | 5 |
| Publikationsstatus | Veröffentlicht - 2012 |
| Veranstaltung | 20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest, Rumänien Dauer: 27 Aug. 2012 → 31 Aug. 2012 |
Publikationsreihe
| Name | European Signal Processing Conference |
|---|---|
| ISSN (Print) | 2219-5491 |
Abstract
The imperfections of practical receivers such as nonwhite noise floor, noise power uncertainty and spurs normally have large influence on the performance and stability of spectrum sensing. However, in most of the literatures about spectrum sensing, part of or all of theses imperfections are ignored and only addictive white Gaussian noise (AWGN) is assumed in many cases. In this paper, two spectrum sensing algorithms are proposed using frequency-domain processing. The first one is a blind detection and the second one takes the known power spectrum density (PSD) of the target signal as a template. Analysis and simulations show that they are equivalent or similar to some reported spectrum sensing algorithms. The advantage of the proposed ones is that the imperfections can be easily mitigated at nearly no cost of extra complexities, which makes it more feasible to low-cost implementations.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012. 2012. S. 435-439 6333902 (European Signal Processing Conference).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Practical spectrum sensing with frequency-domain processing in cognitive radio
AU - Cao, Hanwen
AU - Peissig, Jürgen
PY - 2012
Y1 - 2012
N2 - The imperfections of practical receivers such as nonwhite noise floor, noise power uncertainty and spurs normally have large influence on the performance and stability of spectrum sensing. However, in most of the literatures about spectrum sensing, part of or all of theses imperfections are ignored and only addictive white Gaussian noise (AWGN) is assumed in many cases. In this paper, two spectrum sensing algorithms are proposed using frequency-domain processing. The first one is a blind detection and the second one takes the known power spectrum density (PSD) of the target signal as a template. Analysis and simulations show that they are equivalent or similar to some reported spectrum sensing algorithms. The advantage of the proposed ones is that the imperfections can be easily mitigated at nearly no cost of extra complexities, which makes it more feasible to low-cost implementations.
AB - The imperfections of practical receivers such as nonwhite noise floor, noise power uncertainty and spurs normally have large influence on the performance and stability of spectrum sensing. However, in most of the literatures about spectrum sensing, part of or all of theses imperfections are ignored and only addictive white Gaussian noise (AWGN) is assumed in many cases. In this paper, two spectrum sensing algorithms are proposed using frequency-domain processing. The first one is a blind detection and the second one takes the known power spectrum density (PSD) of the target signal as a template. Analysis and simulations show that they are equivalent or similar to some reported spectrum sensing algorithms. The advantage of the proposed ones is that the imperfections can be easily mitigated at nearly no cost of extra complexities, which makes it more feasible to low-cost implementations.
KW - cognitive radio
KW - practical issues
KW - PSD estimation
KW - receiver imperfections
KW - spectrum sensing
UR - http://www.scopus.com/inward/record.url?scp=84869762418&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84869762418
SN - 9781467310680
T3 - European Signal Processing Conference
SP - 435
EP - 439
BT - Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
T2 - 20th European Signal Processing Conference, EUSIPCO 2012
Y2 - 27 August 2012 through 31 August 2012
ER -