ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술대회 Nullspace-Based Finite Rate of Innovation Algorithm to Resolve Multiple Signal Sources
Cited 0 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
김경원, 김명돈, 박재준, 이주열, 권헌국
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1569-1573
22HH4200, THz 대역 주파수 개척 및 안전성 평가 기술 개발, 김명돈
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)