Compressive spectrum sensing algorithm based on robust detection criterion with ratio of residual matrix

In this paper, we propose a compressive spectrum sensing method robust against noise uncertainty. The proposed scheme utilizes relative ratio of residual matrix for signal detection. Simulation results verify that the proposed scheme provides reliable detection performance regardless of noise varian...

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Bibliographic Details
Published in2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN) pp. 46 - 47
Main Authors Hoiyoon Jung, Jung-Sun Um, Byung Jang Jeong, Hyung Do Choi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2014
Subjects
Estimation error
Indexes
Noise
Robustness
Sensors
Simulation
Uncertainty
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Summary:In this paper, we propose a compressive spectrum sensing method robust against noise uncertainty. The proposed scheme utilizes relative ratio of residual matrix for signal detection. Simulation results verify that the proposed scheme provides reliable detection performance regardless of noise variance estimation error.
ISSN:2165-8528
DOI:10.1109/ICUFN.2014.6876746