Maximum likelihood filters in spectral estimation problems
Signal Processing
Cyclostationarity: half a century of research
Signal Processing
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
A classification of multiple antenna channels
IZS '06 Proceedings of the 2006 International Zurich Seminar on Communications
Robust adaptive beamforming for general-rank signal models
IEEE Transactions on Signal Processing
Radar Detection and Classification of Jamming Signals Belonging to a Cone Class
IEEE Transactions on Signal Processing
Filter Bank Spectrum Sensing for Cognitive Radios
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs
IEEE Communications Magazine
Detection of spatially correlated Gaussian time series
IEEE Transactions on Signal Processing
Volume-based method for spectrum sensing
Digital Signal Processing
Hi-index | 35.69 |
In the new paradigm of open spectrum access, the envisioned radio agility calls for fast and accurate spectrum sensing, this challenges traditional spectral estimation. In this study, we propose three new procedures that are able to sense the known spectrum of the candidate or primary user, fulfilling the requirements of open spectrum scenarios. These procedures are developed by following the framework of correlation matching, changing the traditional single frequency scan to a spectral scan with a particular shape and generalizing filter-bank designs. The proposed techniques are called Candidate methods, because their goal is to react only when the candidate's spectral shape is present. First, Candidate-F is proposed as a spectral detection method, where this is based on minimizing the Frobenius distance between correlation matrices, and can be viewed as an extended version of the weighted overlapped spectrum averaging estimate. Next, Candidate-G is presented, which is a new procedure that is based on a geodesic distance, and that presents the lowest complexity. Lastly, a third procedure is studied, Candidate-M, which provides the most compliant performance with the demanding open spectrum scenario by generalizing the Capon-spectral estimator. By means of the analytical results, simulations of receiver operating characteristics, and estimation variance, this study shows the advantages of Candidate-M over the existing filter bank or cyclostationary detector methods.