상세정보
학술대회
Compressive Spectrum Sensing Algorithm based on Robust Detection Criterion with Ratio of Residual Matrix
- 발행일
- 201407
- 출처
- International Conference on Ubiquitous and Future Networks (ICUFN) 2014, pp.46-47
- 협약과제
- 14MR9300, (통합)모바일 빅뱅 시대의 주파수 효율 개선 핵심 기술 개발, 최형도
- 초록
- 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 제안 키워드
- Compressive spectrum sensing, Noise Uncertainty, Noise variance estimation, Relative ratio, Spectrum Sensing Algorithm, detection performance, estimation error, robust detection, signal detection, simulation results