The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach
Abstract
In this letter, we propose multi-antenna based spectrum sensing methods for cognitive radios (CRs) using the generalized likelihood ratio test (GLRT) paradigm. The proposed methods utilize the eigenvalues of the sample covariance matrix of the received signal vector from multiple antennas, taking advantage of the fact that in practice, the primary user signals to be detected will either occupy a subspace of dimension strictly smaller than the dimension of the observation space, or have a non-white spatial spectrum. These methods do not require prior knowledge of the primary user signals, or the channels from the primary users to the CR. By making different assumptions on the availability of the white noise power value at the CR receiver, we derive two algorithms that are shown to outperform the standard energy detector.
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
Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Fundamentals of Statistical Signal Processing: Estimation Theory
Sengijpta, S. K. (1995) · Technometrics · doi:10.1080/00401706.1995.10484391 · Cited by 11,076
Detection of signals by information theoretic criteria
Wax, M., & Kailath, T. (1985) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1985.1164557 · Cited by 3,426
Sensing-Throughput Tradeoff for Cognitive Radio Networks
Liang, Y.-C., Zeng, Y., Peh, E. C. Y., & Hoang, A. T. (2008) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2008.060869 · Cited by 2,974
Self-citationImplementation issues in spectrum sensing for cognitive radios
Cabric, D., Mishra, S. M., & Brodersen, R. W. (2005) · Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. · doi:10.1109/acssc.2004.1399240 · Cited by 2,589
Collaborative spectrum sensing for opportunistic access in fading environments
Ghasemi, A., & Sousa, E. S. (2005) · doi:10.1109/dyspan.2005.1542627 · Cited by 1,799
Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks
Quan, Z., Cui, S., & Sayed, A. H. (2008) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2007.914882 · Cited by 1,031
Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks
Zhang, R., & Liang, Y.-C. (2008) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2007.914894 · Cited by 834
Self-citationFundamental limits on detection in low SNR under noise uncertainty
Tandra, R., & Sahai, A. (2005) · 2005 International Conference on Wireless Networks, Communications and Mobile Computing · doi:10.1109/wirles.2005.1549453 · Cited by 602
Cooperative spectrum sensing in cognitive radio networks
Ganesan, G., & Li, Y. (2005) · doi:10.1109/dyspan.2005.1542628 · Cited by 561
Cited by
Cognitive Radio Techniques Under Practical Imperfections: A Survey
Sharma, S. K., Bogale, T. E., Chatzinotas, S., Ottersten, B., Le, L. B., & Wang, X. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2452414 · Cited by 221
Metadata
- Authors
- Zhang, R., Lim, T., Liang, Y.-C., & Zeng, Y.
- Venue
- IEEE Transactions on Communications
- Published
- 2010-01
- Volume
- 58
- Issue
- 1
- Pages
- 84-88
- ISSN
- 0090-6778 (ISSN-L)
- OpenAlex
- W2165800172
- Cited by
- 417
- References
- 13
- FWCI
- 55.61
- Type
- journal article
- 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: Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach. https://app.cochat.ai/papers/10.1109/tcomm.2010.01.080158
- The paper
- Zhang, R., Lim, T., Liang, Y.-C., & Zeng, Y. (2010). Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach. IEEE Transactions on Communications. https://doi.org/10.1109/tcomm.2010.01.080158
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.
