Derivation of Optimum Detector for Range Migrating Targets in the Presence of Clutter

Abstract

This report describes the signal processing to detect range migrating targets in the presence of clutter. This has been an open problem. The signal processing derived here is based on the matched filter and Neyman-Pearson detector. The detector structure optimally processes fast time and slow time jointly. This provides the ability to differentiate the range migrating target and the clutter. This processing structure also allows one to change the transmitted radar signal on a pulse-to-pulse basis and still cancel clutter. The clutter can be stationary or range migrating. The target motion model is very general. It is only required to know the target range change as a function of time and its first derivative. In order to form this processing, it is necessary to provide estimates of the clutter parameters to the detector. This report shows that reasonable estimation accuracy provides good detector performance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 29, 2020
Accession Number
AD1136129

Entities

People

  • Terry L. Foreman

Organizations

  • Naval Surface Warfare Center Dahlgren Division

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Antennas
  • Clutter
  • Coordinate Systems
  • Correlators
  • Department Of Defense
  • Detection
  • Detectors
  • Doppler Effect
  • Doppler Radar
  • Education
  • Frequency
  • Gaussian Processes
  • Ground Clutter
  • Information Operations
  • Low Noise
  • Matched Filters
  • Measurement
  • Radar
  • Radar Equipment
  • Radar Receivers
  • Radar Signals
  • Random Variables
  • Signal Processing
  • Statistical Analysis
  • Surface Warfare

Fields of Study

  • Engineering

Readers

  • Environmental Remediation and Restoration.
  • Radar Systems Engineering.
  • Statistical inference.