Time Domain Non-Linear SAR Processing

Abstract

The main objectives of this effort were to develop a theoretical foundation for Time Domain Non-Linear SAR Processing, and corresponding DSP algorithms to efficiently implement the process on existing computer architectures. We formulated the equations to convert a flight path OPS/INS data into ECEF data that were suitable for mapping into a desired slant imaging plane. The GPS data of an existing SAR platform were used for testing this mapping. Codes were developed for simulating the non-linear SAR signature of targets for a given set of flight path GPS data. We established the mathematical foundation and MATLAB codes for backprojection and wavefiont image formation algorithms for on a non-linear SAR trajectory using multi-processor computers. We conducted parallel computing for the proposed reconstruction algorithms on a shared memory SGI computer and a distributed memory Dell computer using MatlabMPI and C. We also converted the algorithms into parallel Matlab code and created graphical user interfaces for both programs. Parallel algorithms for a SAR-MTI problem were also developed. The two imaging algorithms were studied and tested using both actual and simulated SAR data. These algorithms have also been chosen and implemented for a US Army platform under the WAAMD (Wide Area Airborne Mine Detection) Program.

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Document Details

Document Type
Technical Report
Publication Date
Jan 18, 2006
Accession Number
ADA443066

Entities

People

  • Mehrdad Soumekh

Organizations

  • University at Buffalo

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Detection
  • Digital Signal Processing
  • Electrical Engineering
  • Flight Paths
  • Graphical User Interface
  • Image Processing
  • Information Processing
  • Military Research
  • Parallel Computing
  • Parallel Processing
  • Radar
  • Signal Processing
  • Synthetic Aperture Radar
  • Time Domain
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Parallel and Distributed Computing.
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects
  • Space - Spacecraft Maneuvers