Maximum-Minimum Eigenvalue Detection for Cognitive Radio

By Yonghong Zeng, Ying-Chang Liang. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2007

374 citations recorded by the source corpus.

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Cognitive radio networking and communications: an overview (2011, methodology): “Thus, the condition number of the sample covariance matrix can be used as the test statistics for signal detection [34], [35].”
Spectrum sensing in cognitive radio (2016, methodology): “Based on this premise, a rich literature has evolved, originating in the maximumminimum-eigenvalue (MME) detector [16].”
Advances in cognitive radio networks: A survey (2011, methodology): “The eigenvalues of the covariance matrix of the received signal can also be used for primary detection [55].”
Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach (2010, methodology): “In this letter, by applying the GLRT principle we derive new eigenvalue-based spectrum sensing algorithms that are different from those in [17].”
Multiantenna-Assisted Spectrum Sensing for Cognitive Radio (2010, methodology): “Even though it is effective, these works [21], [22] did not fully exploit the signal structure that is inherent in the received signal.”
Signal Processing in Cognitive Radio (2009, methodology): “Based on the above heuristic, the eigenvalue-based detection algorithm can be formulated as follows [24].”
A Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions (2010, methodology): “A similar approach like the above can be used for the case of MME detection, as shown in [21, 22].”