Detectability of Linear FM Pulses Transmitted through a Random Medium,

Abstract

The objective of the work to be described is to determine some of the implications of medium distortion on waveform and processor design for active echo-ranging sonar. In particular, the questions of bandwidth and duration of linear FM signals are considered, as well as various combinations of coherent and incoherent processing. Sonar echos are modeled as a multiplicity of discrete arrivals, the arrival time (range), doppler shift and amplitude being chosen at random from specified probability densities. Noise is modeled as white with gaussian amplitude statistics, and reverberation as having gaussian amplitude statistics but the power spectrum of the transmitted signal. With these models, computer simulation is employed to examine the detectability of echos produced by the transmission of linear FM pulses of various bandwidths and durations. The processor consists of a correlator followed by various amounts and shapes of incoherent integration. Monte Carlo techniques are used to generate ROC curves, showing the probability of an echo being detected on a given ping vs the probability of a false detection in the absence of an echo, with input signal-to-noise ratio or signal-to-reverberation ratio as a parameter. The conclusion reached from these results is that best detection performance is obtained by use of a pulse with as much bandwidth as system constraints will permit.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1966
Accession Number
ADA045662

Entities

People

  • S. M. Garber

Organizations

  • General Electric

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Amplitude
  • Computer Simulations
  • Correlators
  • Detection
  • Detectors
  • Doppler Effect
  • Echo Ranging
  • Echoes
  • False Alarms
  • Random Variables
  • Reverberation
  • Simulations
  • Sonar
  • Sonar Signals
  • Statistics
  • Underwater Sound
  • Warning Systems

Fields of Study

  • Engineering
  • Physics

Readers

  • Acoustical Oceanography.
  • Radio communications and signal processing.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference