Sparse representation based two-dimensional direction of arrival estimation using co-prime array

DOI10.1007/S11045-016-0453-9zbMath1450.94019OpenAlexW2518909342MaRDI QIDQ784506

Defu Jiang, Jianfeng Li, Xiao-Fei Zhang

Publication date: 3 August 2020

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-016-0453-9

zbMATH Keywords

sparse representation2D DOA estimationautomatically pair matchingco-prime array

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (2)

DOA estimation of coherent signals based on the sparse representation for acoustic vector-sensor arrays ⋮ Two-dimensional off-grid DOA estimation with improved three-parallel coprime arrays on moving platform

Uses Software

• SPGL1

Cites Work

• A fast algorithm for 2-D direction-of-arrival estimation
• One- and two-dimensional direction-of-arrival estimation: an overview of search-free techniques
• Landmark recognition with sparse representation classification and extreme learning machine
• Probing the Pareto Frontier for Basis Pursuit Solutions
• Simple and Efficient Nonparametric Method for Estimating the Number of Signals Without Eigendecomposition
• Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom
• Sparse Sensing With Co-Prime Samplers and Arrays
• SPICE: A Sparse Covariance-Based Estimation Method for Array Processing
• Direction-of-Arrival Estimation Using a Sparse Representation of Array Covariance Vectors
• Target Detection and Localization Using MIMO Radars and Sonars
• A sparse signal reconstruction perspective for source localization with sensor arrays

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