Work

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

Year: 2018

Type: conference-paper

Abstract: 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.

Source: Advanced Maui Optical and Space Surveillance Technologies Conference

DOI: 10.64861/dwdy3371

Authors: Chao Wang, Robert Plemmons, Sudhakar Prasad, Raymond Chan, Mila Nikolova

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Chinese University of Hong Kong, U.S. Air Force, Air Force Office of Scientific Research

Awards: G1523888516, G7090116110, G7142813775, G7303978211, G7803350157, G8254700127, G8405477822

OpenAlex ID: W2893598368

FWCI: 0.349

Cites:

Cited by: 1

Related to: 10