Effect of Nonlinearity on Receiver Signal to Disturbance Ratio in High Subclutter Visibility

Abstract

Analyses of radar performance usually proceed by assuming a linear receiver. In presence of strong signals, however, actual receivers are subject to saturation effects. This nonlinear behavior can cause a significant change in the statistics of the disturbance. The purpose of this work is to study the effects of the nonlinearity of the radar receiver on the signal-to-disturbance ratio for the case of high subclutter visibility. The signal-to-disturbance ratio (SDR) is maximized using a transversal filter with adaptive weights. Three cases are considered in our research: Case (1): The receiver is linear and the weights of the transversal filter are computed so as to maximize the SDR. This case serves as a baseline against which the others are compared. Case (2): The receive is nonlinear. The weights of Case I are used for the transversal filter. Case 3: The receiver is nonlinear and the weights of the transversal filter are computed so as to maximize the SDR taking into account the effect of the nonlinearity. For all three cases, studies are made to determine how the SDR is affected when the following parameters are varied: (1) shape of the nonlinearity, (2) Doppler frequency, (3) clutter correlation, (4) thermal noise level, (5) clutter power level, and (6) number of pulses.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1991
Accession Number
ADA252806

Entities

People

  • Donald D. Weiner
  • Mohamed A. Slamani

Organizations

  • Syracuse University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Amplifiers
  • Bandpass Filters
  • Carrier Frequencies
  • Doppler Effect
  • Electrical Engineering
  • Engineers
  • Filters
  • Frequency
  • Frequency Domain
  • Power Levels
  • Probability
  • Probability Density Functions
  • Radar Receivers
  • Radio Frequency Amplifiers
  • Random Variables
  • Transfer Functions
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Fluid Dynamics.
  • Positioning, Navigation, and Timing (PNT) Technology.
  • Radar Systems Engineering.