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What is Eigenvalue Spectrum Sensing

Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management
Statistical Spectrum sensing detection methods where the decision rule involves the eigenvalues of the received signal covariance matrix.
Published in Chapter:
Complexity Issues within Eigenvalue-Based Multi-Antenna Spectrum Sensing
Ines Elleuch (University of Carthage, Tunisia), Fatma Abdelkefi (University of Carthage, Tunisia), and Mohamed Siala (University of Carthage, Tunisia)
DOI: 10.4018/978-1-4666-6571-2.ch023
This chapter provides a deep insight into multiple antenna eigenvalue-based spectrum sensing algorithms from a complexity perspective. A review of eigenvalue-based spectrum-sensing algorithms is provided. The chapter presents a finite computational complexity analysis in terms of Floating Point Operations (flop) and a comparison of the Maximum-to-Minimum Eigenvalue (MME) detector and a simplified variant of the Multiple Beam forming detector as well as the Approximated MME method. Constant False Alarm Performances (CFAR) are presented to emphasize the complexity-reliability tradeoff within the spectrum-sensing problem, given the strong requirements on the sensing duration and the detection performance.
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