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Compressive Spectrum Sensing Algorithm based on Robust Detection Criterion with Ratio of Residual Matrix
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- Authors
- Hoiyoon Jung, Jung-Sun Um, Byung Jang Jeong, Hyung Do Choi
- Issue Date
- 2014-07
- Citation
- International Conference on Ubiquitous and Future Networks (ICUFN) 2014, pp.46-47
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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. © 2014 IEEE.
- KSP Keywords
- Compressive spectrum sensing, Noise Uncertainty, Noise variance estimation, Relative ratio, Spectrum Sensing Algorithm, detection performance, estimation error, robust detection, signal detection, simulation results