Modeling Non-Rayleigh Reverberation

Abstract

Non-Rayleigh reverberation adversely affects the detection performance of submarine and mine hunting sonar systems by increasing the probability of false alarm or decreasing the probability of detection. Prediction of sonar performance in non-Rayleigh reverberation and the design of appropriate target detection algorithms requires accurate statistical modeling of the observed reverberation. This report presents several standard statistical models for non-Rayleigh reverberation along with methods for estimating their parameters and choosing the model with the best fit. Of the models considered, the Rayleigh mixture model was seen to provide the most flexibility in representing different types of non-Rayleigh reverberation. Real data were used to demonstrate this analysis process, including the examination of theoretical receiver operating characteristic (ROC) curves based on non-Rayleigh reverberation. Matlab subroutines created for parameter estimation, distribution function evaluation, and random number generation are included in an annex.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1997
Accession Number
AD1119928

Entities

People

  • Douglas A. Abraham

Organizations

  • NATO

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Detection
  • Detectors
  • Distribution Functions
  • Estimators
  • False Alarms
  • Information Science
  • Maximum Likelihood Estimation
  • Nato
  • Normal Distribution
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Radar
  • Random Variables
  • Seabed
  • Statistical Analysis

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference