Practical receiver designs for multi-aperture imaging at the quantum performance limit

Abstract

Recent years have seen exciting developments on the application of quantum estimation theory techniques to high-resolution passive imaging, leading to a practical receiver design that can resolve sub-Rayleigh separated point sources at the desired precision with up to two orders of magnitude smaller integration time [2]. We would like to leverage these advances to identify easily implementable detection strategies for spatially-distributed multi-aperture imagingÑwith applications for example, in remote sensing, biological imaging and tactical surveillance and real-time decision making in low-SNR conditionsÑthat can: (1) outperform current conventional techniques, using (2) a system that costs a small fraction of conventional imaging techniques. Our proposed seedling comprises of two parts addressing the following CONOPS: (a)when all the scene-irradiated light is collected via a collection of (cheap, flat or spherical) mirrors at distributed locations that reflect back the collected light to a common volume of space which is subsequently detected with a novel receiver that employs a multi-spatio-temporal interferometric technique, e.g., a mode transformation, prior to detection; and (b)when all the light is collected locally at the same site, and the receiver uses a novel spatially-and-temporally-multiplexed multiple-basis Òtomographic scanningÓ like measurements, e.g., projecting small integration-time segments using a random sequence of phase-amplitude spatial light modulator masks; aimed at outperforming the ideal conventional focal plane array in the traditional sub-Rayleigh regime. The goal of this proposed seedling will be to identify the feasibility, challenges, and the performance-improvement potential of the aforesaid receiver techniques, in the above mentioned applications.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 09, 2020
Source ID
W911NF2010039

Entities

People

  • Saikat Guha

Organizations

  • Army Contracting Command
  • Defense Advanced Research Projects Agency
  • University of Arizona

Tags

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.

Technology Areas

  • Quantum Computing
  • Space
  • Space - Space Objects