Time Integrating Optical Signal Processing

Abstract

Optical signal processing architectures using time integration on the detector array provide a highly flexible, multipurpose, wideband, realtime processor. A key feature of the time integrating concept is the ability to perform very large time-bandwidth product processing operations on signals without having to store the entire time history of the signal as a spatial record. Further, these signal processing operations may be realized with either coherent or non-coherent optical systems. In the first phase of the program, a comprehensive treatment of time integrating acousto-optic signal processing was undertaken. This treatment includes a synthesis and evaluation of alternative architectures and a detailed statistical analysis of processor performance. New developments include the extension of one-dimensional time integrating optical correlation to two-dimensional processing, the concepts of interferometric signal processing techniques to complex computation. One- and two-dimensional complex signal processing algorithms have been developed for non-coherent optical realizations. Detailed analysis has been made for complex spectral analysis and ambiguity function processing. Complex computation using real correlation processing has been analyzed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1981
Accession Number
ADA106778

Entities

People

  • Harry N. Shaver
  • Peter Kellman
  • Todd R. Bader

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Waves
  • Acoustics
  • Acousto-Optic Equipment
  • Acousto-Optic Modulators
  • Amplitude Modulation
  • Detection
  • Detectors
  • Diffraction
  • Doppler Effect
  • Dynamic Range
  • Modulation
  • Modulators
  • Optical Correlators
  • Repetition Rate
  • Signal Processing
  • Spectra
  • Two Dimensional

Fields of Study

  • Engineering
  • Physics

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.