The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Maximum-Minimum Eigenvalue Detection for Cognitive Radio
Abstract
Sensing (signal detection) is a fundamental problem in cognitive radio. In this paper, a new method is proposed based on the eigenvalues of the covariance matrix of the received signal. It is shown that the ratio of the maximum eigenvalue to the minimum eigenvalue can be used to detect the signal existence. Based on some latest random matrix theories (RMT), we can quantize the ratio and find the threshold. The probability of false alarm is also found by using the RMT. The proposed method overcomes the noise uncertainty difficulty while keeps the advantages of the energy detection. The method can be used for various sensing applications without knowledge of the signal, the channel and noise power. Simulations based on randomly generated signals and captured ATSC DTV signals are presented to verify the methods.
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Cites
Cognitive radio: making software radios more personal
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Energy detection of unknown deterministic signals
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Random Matrix Theory and Wireless Communications
Tulino, A. M., & Verdú, S. (2004) · Foundations and Trends™ in Communications and Information Theory · doi:10.1561/0100000001 · Cited by 2,034
On the distribution of the largest eigenvalue in principal components analysis
Johnstone, I. M. (2001) · The Annals of Statistics · doi:10.1214/aos/1009210544 · Cited by 1,949
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METHODOLOGIES IN SPECTRAL ANALYSIS OF LARGE DIMENSIONAL RANDOM MATRICES, A REVIEW
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Fundamental 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
Spectral Correlation of Modulated Signals: Part II--Digital Modulation
Gardner, W., Brown, W., & Chen, C.-K. (1987) · IEEE Transactions on Communications · doi:10.1109/tcom.1987.1096816 · Cited by 408
Spectral Correlation of Modulated Signals: Part I--Analog Modulation
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Cited by
Cooperative Communications for Cognitive Radio Networks
Ben Letaief, K., & Zhang, W. (2009) · Proceedings of the IEEE · doi:10.1109/jproc.2009.2015716 · Cited by 1,153
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
Self-citation
Metadata
- Authors
- Zeng, Y., & Liang, Y.-C.
- Venue
- 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications
- Publisher
- IEEE
- Published
- 2007
- Pages
- 1-5
- OpenAlex
- W2000798729
- Cited by
- 327
- References
- 9
- FWCI
- 16.01
- Type
- conference paper
- Language
- en
- Open access
- closed
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