Correlation-Based Detection of OFDM Signals in the Angular Domain

Spectrum sensing is an essential part of future cognitive radios, as the spectrum sensor provides information about the utilization of the surrounding radio spectrum. Several approaches to implementing spectrum sensing have been proposed in the literature, one of them being the class of feature dete...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2012-03, Vol.61 (3), p.951-958
Main Authors: Turunen, V., Kosunen, M., Vaarakangas, M., Ryynanen, J.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Autocorrelation
cognitive radio
Correlation
Detection
Detection algorithms
Detection, estimation, filtering, equalization, prediction
Detectors
digital signal processing
Energy use
Estimation
Exact sciences and technology
Feature extraction
field-programmable gate arrays
Information, signal and communications theory
Multiplexing
OFDM
Orthogonal Frequency Division Multiplexing
orthogonal frequency-division multiplex (OFDM)
Radio
Radiocommunication specific techniques
Radiocommunications
Signal and communications theory
Signal processing
Signal representation. Spectral analysis
Signal, noise
Studies
Telecommunications
Telecommunications and information theory
Utilization
Vectors
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Summary:Spectrum sensing is an essential part of future cognitive radios, as the spectrum sensor provides information about the utilization of the surrounding radio spectrum. Several approaches to implementing spectrum sensing have been proposed in the literature, one of them being the class of feature detectors. Cyclostationary feature detectors are, in general, considered to be superior in performance but suffer from high implementation complexity. Therefore, most studies still utilize energy detectors, which may not reach the performance requirements set for practical implementations. This paper presents angular domain feature detection algorithms that are based on cyclostationary properties. Angular domain signal processing is shown to simplify the implementation considerably while preserving comparable performance. Moreover, a new detection algorithm that leads to multiplier-free implementation and reduces the memory requirements, compared with any previous approaches, is proposed.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2012.2183009