Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study

DOI10.1109/TSP.2007.901653zbMath1390.94268MaRDI QIDQ4567618

Jian Li, Luzhou Xu, Keith W. Forsythe, Petre Stoica, Daniel W. Bliss

Publication date: 27 June 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Estimation in multivariate analysis (62H12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Channel models (including quantum) in information and communication theory (94A40)

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Robust waveform design for MIMO radar with imperfect prior knowledge ⋮ Target models and waveform design for detection in MIMO radar ⋮ Optimal and robust waveform design for MIMO radars in the presence of clutter ⋮ Tri-iterative least-square method for bearing estimation in MIMO radar ⋮ Three-dimensional reduced-dimension transformation for MIMO radar space-time adaptive processing ⋮ Computational design of optimal waveforms for MIMO radar via multi-dimensional iterative spectral approximation ⋮ Optimal fast-time beamforming with linearly independent waveforms ⋮ Atmospheric radar imaging improvements using compressed sensing and MIMO

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