An adaptive beamforming framework for MIMO radar minimizes the Bayesian Cramér-Rao bound at each stage with exploration and exploitation variants solved by alternating optimization.
Hybrid beamforming optimization for MIMO ISAC based on prior distribution information
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A convex optimization formulation for robust MIMO radar beamforming under bounded PDF uncertainty, obtained via quadratic Taylor approximation of the PCRB and the S-procedure to convert infinite constraints into an LMI.
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Active MIMO Sensing With Exploration-Exploitation Tradeoff
An adaptive beamforming framework for MIMO radar minimizes the Bayesian Cramér-Rao bound at each stage with exploration and exploitation variants solved by alternating optimization.
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A convex optimization formulation for robust MIMO radar beamforming under bounded PDF uncertainty, obtained via quadratic Taylor approximation of the PCRB and the S-procedure to convert infinite constraints into an LMI.