Maximum-entropy reweighting of particles improves D-optimal sensor placement for bearing-only multi-source localization by reducing average localization error, with greater benefits at higher sensor-to-source ratios.
Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical stud- ies
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Improving D-Optimal Sensor Placement for Bearing-Only Localization via Maximum-Entropy Reweighting
Maximum-entropy reweighting of particles improves D-optimal sensor placement for bearing-only multi-source localization by reducing average localization error, with greater benefits at higher sensor-to-source ratios.