상세정보
학술대회
Nullspace-Based Finite Rate of Innovation Algorithm to Resolve Multiple Signal Sources
- 발행일
- 202210
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1569-1573
- 협약과제
- 22HH4200, THz 대역 주파수 개척 및 안전성 평가 기술 개발, 김명돈
- 초록
- The finite rate of innovation (FRI) algorithms is a representative technique to find sparse signal sources covered by a sampling kernel. It is widely used in various applications such as angle-of-arrival estimation, angle of departure estimation, multipath delay estimation, and edge detection. However, it has a weakness of performance degradation when an interval of signal sources is small. To improve the resolution, a nullspace-based algorithm is proposed in this paper. The proposed algorithm is based on the orthogonality between signal subspace and noise subspace like the multiple signal classification (MUSIC) algorithm, but evaluates the orthogonality by using overfitted annihilating filters. To reduce the amount of computation, a parameterization method is also introduced instead of finding the peaks of the spectrum.
- KSP 제안 키워드
- Angle of arrival estimation, Angle of departure, Edge Detection, Finite rate of innovation(FRI), Multipath delay estimation, Multiple signal classification (MUSIC) algorithm, Parameterization method, Sampling kernel, Signal subspace, Sparse signal, angle of arrival(AOA)