Threshold of the Velocity Gate in a Continuous Wave Radar with Conical Scan Tracking.

Abstract

A study is made of the behavior of the velocity gate in a continuous wave radar with conical scan tracking. Adapting the analysis of the frequency modulation feedback demodulator (FMFB), two linear models are developed for the velocity gate. The first deals with the gate's response to a static doppler frequency offset and the second deals with its response to a varying doppler frequency. The dynamic model also incorporates the presence of narrowband, Gaussian noise at the input to the gate. The phase tracking error of the gate due to noise is determined as a function of the carrier-to noise ratio (CNR) in a bandwidth equal to the closed-loop noise bandwidth. Establishing the performance criterion to be the frequency tracking error, two definitions for the threshold of the gate are established. The first states the threshold occurs at the value of CNR for which the root-mean-square frequency tracking error due to noise exceeds half the 3db bandwidth of the IF filter within the gate. The second bases the threshold on the probability of the frequency error exceeding half the 3db bandwidth of the IF filter. Both definitions are applied to an example in which a second order velocity gate is considered. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA080411

Entities

People

  • Jonathan Paul Sunray

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Automatic Gain Control
  • Bandpass Filters
  • Bandwidth
  • Carrier Frequencies
  • Communication Systems
  • Continuous Waves
  • Continuous-Wave Radar
  • Distortion
  • Doppler Effect
  • Electronic Countermeasures
  • Filters
  • Filtration
  • Frequency
  • Frequency Bands
  • Phase Modulation
  • Power Spectra

Fields of Study

  • Engineering
  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.