Analysis of sparse MIMO radar
From MaRDI portal
Publication:741258
DOI10.1016/j.acha.2013.12.005zbMath1297.94013arXiv1203.2690OpenAlexW2963282489MaRDI QIDQ741258
Benjamin Friedlander, Thomas Strohmer
Publication date: 11 September 2014
Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1203.2690
Related Items
Refined analysis of sparse MIMO radar, Adventures in Compressive Sensing Based MIMO Radar, Frame multiplication theory and a vector-valued DFT and ambiguity function, Structured random measurements in signal processing, Sparsity-Based MIMO Radars
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Cites Work
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- Hanson-Wright inequality and sub-Gaussian concentration
- Near-ideal model selection by \(\ell _{1}\) minimization
- Construction of infinite unimodular sequences with zero autocorrelation
- Templates for convex cone problems with applications to sparse signal recovery
- Weak convergence and empirical processes. With applications to statistics
- Coherence Pattern–Guided Compressive Sensing with Unresolved Grids
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Compressed Sensing and Redundant Dictionaries
- Doppler Resilient Golay Complementary Waveforms
- Fundamentals of Radar Imaging
- Identification of Matrices Having a Sparse Representation
- High-Resolution Radar via Compressed Sensing
- On the Relationship Between MIMO and SIMO Radars
- Sparse Learning via Iterative Minimization With Application to MIMO Radar Imaging
- Sensitivity to Basis Mismatch in Compressed Sensing
- Measurement Matrix Design for Compressive Sensing–Based MIMO Radar
- A Probabilistic and RIPless Theory of Compressed Sensing
- Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
- Compressed sensing
