A Theory for Optimal Moving Target Indicator (MTI) Digital Signal Processing. Supplement 1

Abstract

In the report, 'A Theory for Optimal MTI Digital Signal Processing. Part I. Receiver Synthesis,' (1), the problem of eliminating scanning ground clutter from an aircraft surveillance radar was examined from a statistical decision theoretical point of view. An optimum processor was derived which could be approximated by a clutter filter followed by a discrete Fourier transform (DFT). In the report, additional numerical work is documented that compares the performance of the pulse cancellers with feedback and the DFT with that of the optimum processor. The issue of coherent vs incoherent integration gain is considered by comparing the filters only on their ability to reject clutter. A clutter rejection improvement factor is defined and used to compare the various filters. It is shown that the pulse cancellers can be quite effective in rejecting clutter provided the input clutter power is not too large and that additional gains are possible using the DFT.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 1972
Accession Number
AD0751923

Entities

People

  • Robert J. Mcaulay

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Detection
  • Digital Signal Processing
  • Discrete Fourier Transforms
  • Feedback
  • Filters
  • Frequency
  • Frequency Shift
  • Ground Clutter
  • Matched Filters
  • Radar
  • Rejection
  • Scanning
  • Signal Processing
  • Surveillance
  • Surveillance Radar
  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Radio communications and signal processing.
  • Sensor Fusion and Tracking Systems.