Three-point peaking with Kalman filtering improves satellite antenna alignment under signal noise while reducing drive wear and motion requests.
A bounded range-range grid finds all candidate orbits from angle-only measurements, then refines and clusters them with covariance estimates.
Projection-based screening removes high-error observation points in space station common-view time comparison, cutting orbit error impact below 300 ps.
Imaging-guided LIDAR tracking captures angular position and range of small resident space objects beyond ground-based limits.
Orbit features from multiple flying objects are combined to detect group abnormalities and uncoordinated operations with lower monitoring cost.
Self-attention and positional encoding help forecast position uncertainty from irregular conjunction data for earlier avoidance planning.
A rotating turret and modular optical sensors provide wide-field, low-energy detection and tracking of fast-moving LEO objects.
Deployed mobile observatories create laser illuminated targets to enable high-precision triangulation and accurate deorbiting of space debris.
Distributed optical telescopes detect low Earth orbit objects using short integration times and wide field coverage.
A Gauss von Mises distribution models orbital state uncertainty on a cylindrical manifold, resolving non-linear tracking errors from Gaussian assumptions.
Stationary laser extraction eliminates complex Coudé beam guides, reducing size and cost while maintaining measurement precision.
A quad-axis Coudé optical path directs light to a predetermined region using multiple mirrors arranged around orthogonal rotational axes.
A satellite workflow orchestrator automates anomaly detection and command generation to manage fleet operations.
Information processing device presents specification pages to search ground stations by channel conditions and uplink parameters.