Scalable antinoise-robustness estimation of frequency and direction of arrival based on the relaxed sparse array
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Publication:2002402
DOI10.1007/s11045-018-0607-zzbMath1429.94044OpenAlexW2883453551MaRDI QIDQ2002402
Xiangdong Huang, Mengkai Yang, Li Xiao, Ji'an Wang, HuiJie Wang
Publication date: 12 July 2019
Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11045-018-0607-z
frequency estimationdirection of arrival estimationundersamplingantinoise robustnessrelaxed coprime array
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- A Robust Chinese Remainder Theorem With Its Applications in Frequency Estimation From Undersampled Waveforms
- Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom
- A Closed-Form Robust Chinese Remainder Theorem and Its Performance Analysis
- Sparse Sensing With Co-Prime Samplers and Arrays
- Theory of Sparse Coprime Sensing in Multiple Dimensions
- Multi-Stage Robust Chinese Remainder Theorem
- Direction of Arrival Estimation Using Co-Prime Arrays: A Super Resolution Viewpoint
- Generalized Coprime Array Configurations for Direction-of-Arrival Estimation
- Maximum Likelihood Estimation Based Robust Chinese Remainder Theorem for Real Numbers and Its Fast Algorithm
- FSF MUSIC for Joint DOA and Frequency Estimation and Its Performance Analysis
- Towards Robustness in Residue Number Systems
- Super Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling—Part II: High-Order Extensions
- Super Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling—Part I: Fundamentals
