Direction of arrival estimation via reweighted \(l_1\) norm penalty algorithm for monostatic MIMO radar

DOI10.1007/S11045-016-0392-5zbMath1448.94072OpenAlexW2342742569MaRDI QIDQ784565

Xianpeng Wang, Qi Liu

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/s11045-016-0392-5

zbMATH Keywords

sparse representationDOA estimationhigh-resolutionMIMO radarreweighted \(l_1\) norm

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13)

Related Items (1)

Editorial: Array signal processing and systems

Uses Software

• SeDuMi
• CVX

Cites Work

• Unitary dual-resolution ESPRIT for joint DOD and DOA estimation in bistatic MIMO radar
• Enhancing sparsity by reweighted \(\ell _{1}\) minimization
• Performance study of conditional and unconditional direction-of-arrival estimation
• Stable recovery of sparse overcomplete representations in the presence of noise
• Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
• Direction-of-Arrival Estimation Using a Sparse Representation of Array Covariance Vectors
• A sparse signal reconstruction perspective for source localization with sensor arrays

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