Preliminary Design Review: GMTI Processing for the PCA Integrated Radar-Tracker Application

Abstract

This report describes ground moving target indicator (GMTI) processing to be done for the PCA (polymorphous computing architecture) integrated radar-tracker application. GMTI processing of the raw radar data is done to extract targets; target reports are passed on to the tracker part of the integrated radar-tracker application. The GMTI processing described in this report is used to minimize the effects of interference patterns and ground clutter and to recognize and extract targets on the ground. The radar is presumed to be using a wideband signal for improved resolution. This signal is decomposed via subband filtering into many narrowband signals for easier processing. Each of these subbanded data sets must then be processed as a distinct radar data cube. For each data set, adaptive processing is used to null interference patterns and ground clutter noise. These operations incur a high computational cost. Subband filtering requires many parallel modulators and filters, while adaptive processing requires the calculation of an adaptive filter (involving a QR decomposition and forward/backsolving) at run time for each subband data cube.

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Document Details

Document Type
Technical Report
Publication Date
Feb 06, 2004
Accession Number
ADA419852

Entities

People

  • A. I. Reuther

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Adaptive Filters
  • Computer Architecture
  • Data Sets
  • Detection
  • Detectors
  • Filters
  • Filtration
  • Frequency
  • Ground Clutter
  • Ground Moving Target Indicators
  • Moving Target Indicator Radar
  • Moving Targets
  • Narrowband
  • Pulse Compression
  • Radar
  • Radar Signals
  • Radial Velocity

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Phased Array Antenna Design.
  • Sensor Fusion and Tracking Systems.