Scalable antinoise-robustness estimation of frequency and direction of arrival based on the relaxed sparse array

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

zbMATH Keywords

frequency estimationdirection of arrival estimationundersamplingantinoise robustnessrelaxed coprime array

Mathematics Subject Classification ID

Sampling theory in information and communication theory (94A20)

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Joint frequency and DOA estimation of sub-Nyquist sampling multi-band sources with unfolded coprime arrays

Cites Work

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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