Performance of Radar Receivers in the Presence of Noise and Intentional Interference

Abstract

This thesis is devoted to analyzing the problem of masking a reflected radar signal, in order to degrade the radar receiver's performance. This to be accomplished by appropriately choosing the Power Spectral Density (PSD) of a power constrained colored noise interference to be generated either by the target itself or by pre-positioned friendly noise makers. The goal in either case is to generate interference signals that result in decreased receiver probability of detection, PD, for a given receiver probability of false alarm, PF. Efforts to identify appropriate PSD's of the power constrained interference were carried out by evaluating the receivers PD as a function of PF for two specific target models. The performance results for the various receivers investigated demonstrate that the noise interference generated by the noise makers can achieve significant levels of degradation, while the target generated noise interference tends to improve rather than degrade the radar receiver's performance. In all cases considered, the sinc squared shaped noise interference PSD is more effective at degrading the receiver performance than any other kink of PSD analyzed. (JES)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA205328

Entities

People

  • Panagiotis G. Mavropoulos

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Degradation
  • Detection
  • Electrical Engineering
  • Engineering
  • False Alarms
  • Gaussian Noise
  • Gaussian Processes
  • Hypotheses
  • Noise
  • Plastic Explosives
  • Probability
  • Probability Density Functions
  • Radar Signals
  • Random Variables
  • Two Dimensional
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Radio communications and signal processing.
  • Systems Analysis and Design