Semi-blind locally optimum detection for spectrum sensing in cognitive radio

Spectrum sensing in cognitive radio becomes a challenging task when the signals received at the secondary users' transmitters exhibit low power. Locally optimum detectors (LOD) are therefore desirable thanks to their optimality in the low SNR regime. Here, we assume that the primary user transm...

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Bibliographic Details
Main Authors: Cardenas-Juarez, Marco, Ghogho, Mounir, Swami, Ananthram
Format: Conference Proceeding
Language:English
Subjects:
Cognitive radio
Detectors
Frequency
Laboratories
Locally Optimum Detection
Matched filters
Phase detection
Radio transmitters
Signal Detection
Spectrum Sensing
Statistical analysis
Testing
USA Councils
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Summary:Spectrum sensing in cognitive radio becomes a challenging task when the signals received at the secondary users' transmitters exhibit low power. Locally optimum detectors (LOD) are therefore desirable thanks to their optimality in the low SNR regime. Here, we assume that the primary user transmits a training sequence, and propose a semi-blind LOD (SBLOD). In the case of BPSK signals, the test statistic of the proposed SBLOD is shown to be a weighted sum of the matched filter output, the energy and pseudo-energy. For higher size constellations, the SBLOD reduces to a linear combination of the matched filter and the energy detector. Although combining the matched filter and energy detector is a classical approach, our study provides a systematic and (locally) optimal way of combining these detectors. Simulations results show the merits of the proposed detector.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2010.5496136