The DOI matches its Crossref record.
Signature Based Spectrum Sensing Algorithms for IEEE 802.22 WRAN
Abstract
Spectral sensing for the presence of ATSC DTV signals in VHF/UHF TV bands under a very low SNR environment is one of the core technologies in IEEE 802.22 WRAN. There are multiple signatures embedded in the ATSC DTV signals and these signatures can be utilized to perform spectrum sensing. Signature-based spectrum sensing algorithms have an advantage in that when the signals other than noise are detected, we are almost sure that they are signals we want to detect. Thus, in this paper, several signature based spectrum sensing algorithms are presented. The false alarm rate for detectors employing different algorithms is analytically derived. The operating characteristic curves for different detectors are determined from computer simulations using ATSC A/74 DTV signal captures as a test database.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Eigenvalue-based spectrum sensing algorithms for cognitive radio
Zeng, Y., & Liang, Y.-C. (2009) · IEEE Transactions on Communications · doi:10.1109/tcomm.2009.06.070402 · Cited by 1,258
Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances
Zeng, Y., & Liang, Y.-C. (2009) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2008.2005267 · Cited by 639
A Survey on Machine-Learning Techniques in Cognitive Radios
Bkassiny, M., Li, Y., & Jayaweera, S. K. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.100412.00017 · Cited by 580
Signal Processing in Cognitive Radio
Ma, J., Li, G. Y., & Juang, B. H. (2009) · Proceedings of the IEEE · doi:10.1109/jproc.2009.2015707 · Cited by 533
Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach
Zhang, R., Lim, T., Liang, Y.-C., & Zeng, Y. (2010) · IEEE Transactions on Communications · doi:10.1109/tcomm.2010.01.080158 · Cited by 417
Metadata
- Authors
- Chen, H.-S., Gao, W., & Daut, D. G.
- Venue
- 2007 IEEE International Conference on Communications
- Publisher
- IEEE
- Published
- 2007-06
- Pages
- 6487-6492
- ISSN
- 1550-3607 (ISSN-L)
- OpenAlex
- W2171046349
- Cited by
- 207
- References
- 0
- FWCI
- 10.44
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Signature Based Spectrum Sensing Algorithms for IEEE 802.22 WRAN. https://app.cochat.ai/papers/10.1109/icc.2007.1073
- The paper
- Chen, H.-S., Gao, W., & Daut, D. G. (2007). Signature Based Spectrum Sensing Algorithms for IEEE 802.22 WRAN. 2007 IEEE International Conference on Communications. https://doi.org/10.1109/icc.2007.1073
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.