THE INFLUENCE OF RANDOM PHASE ERRORS ON THE ANGULAR RESOLUTION OF SYNTHETIC APERTURE RADAR SYSTEMS

Abstract

The influence of random phase errors on the angular resolution of a focused synthetic aperture radar system is treated. The principal measure of performance has been taken as the mean envelope power at the system output. This system output power is evaluated exactly, although not in closed form, based on the following reasonable assumptions: (1) the real beam pattern is Gaussian; (2) the random phase error is essentially a geometry independent ergodic process with a Gaussian amplitude distribution and zero mean; and (3) the random phase error has a Gaussian correlation function. The curves presented in this report can be used to estimate expected system power response, expected system resolution, and effective aperture length beyond which, in the presence of phase error, little gain in resolution is expected. It was found that multiple s of error with different correlation intervals make explicit solution of the integral equation for system power response practically impossible. In this situation, a reasonable approach is to evaluate the system power response separately for each error. If one of the errors is clearly dominant, it may be regarded as bounding achievable performance.

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Document Details

Document Type
Technical Report
Publication Date
Jun 20, 1963
Accession Number
AD0408761

Entities

People

  • Jean A. Develet Jr.

Organizations

  • The Aerospace Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Data Processing
  • Decision Theory
  • Dynamic Range
  • Electronics
  • Engineering
  • Equations
  • Geometry
  • Integral Equations
  • Observers
  • Radar
  • Statistical Decision Theory
  • Synthetic Aperture Radar
  • Tracks
  • Transfer Functions
  • Vehicle Tracks
  • Vehicles

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Control Systems Engineering.