Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery [CL]

http://arxiv.org/abs/1809.10541


An optical imager that exploits off-center image rotation to encode both the lateral and depth coordinates of point sources in a single snapshot can perform 3D localization and tracking of space debris. When actively illuminated, unresolved space debris, which can be regarded as a swarm of point sources, can scatter a fraction of laser irradiance back into the imaging sensor. Determining the source locations and fluxes is a large-scale sparse 3D inverse problem, for which we have developed efficient and effective algorithms based on sparse recovery using non-convex optimization. Numerical simulations illustrate the efficiency and stability of the algorithms.

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C. Wang, R. Plemmons, S. Prasad, et. al.
Fri, 28 Sep 18
27/52

Comments: 16 pages. arXiv admin note: substantial text overlap with arXiv:1804.04000