Spectrally Adaptable Compressive Sensing Imaging System

Abstract

In this effort we will design and develop a multi spectral sensing imaging and communications system based on a compressive sensing (CS) architecture that can computationally adapt dynamically, in real time, to a set of optimal spectral band(s) needed to address the desired tactical missions. The effort integrates the development and implementation of state of the art signal processing algorithms and communications, especially compressive sensing algorithms, with coded aperture multispectral sensors and optical design concepts, to attain a compact spectrally agile sensor system. The system under development is composed of three subsystems: (1) Relay/dispersion and focal plane array (FPA) compressed measurements. (2) Imaging and coded apertures. (3) Analog source/channel coding subsystem. In this quarter, the following progress has been attained in each of these thrusts: For the period of performance ending June 2010 the following has been accomplished under this contract in each of the subsystems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 15, 2010
Accession Number
ADA530876

Entities

People

  • Dennis W. Prather
  • Gonzalo R. Arce
  • Javier Garcia-frias

Organizations

  • University of Delaware

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Calibration
  • Channel Coding
  • Coding
  • Compressed Sensing
  • Computer Programming
  • Decoding
  • Detectors
  • Engineering
  • Focal Plane Arrays
  • Focal Planes
  • Image Reconstruction
  • Mathematical Models
  • Measurement
  • Models
  • Processing Equipment
  • Signal Processing

Fields of Study

  • Engineering

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Image Processing and Computer Vision.
  • Radio communications and signal processing.