Passive Sonar Bearing Estimation in the Presence of Highly Anisotropic Noise, Fields,

Abstract

The problem of sonar bearing estimation in the presence of highly anisotropic noise fields is examined for both conventional and optimal array processors. In some situations, the presence of one or more (high level) interfering noise source precludes bearing estimation by conventional, non-adaptive array processors. However, in some target tracking problems (e.g. TMA) the performance loss due to noise anisotropy is not total. In the context of such problems, the effects of multiple, unidirectional interferers on the conventional, split-beam tracker and the maximum likelihood estimator are investigated for linear receiving arrays.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA063953

Entities

People

  • L. R. Howell

Organizations

  • The Catholic University of America

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acoustics
  • Algorithms
  • Background Noise
  • Computational Science
  • Computer Simulations
  • Detection
  • Detectors
  • Estimators
  • Frequency Domain
  • Gaussian Processes
  • Mathematical Models
  • Maximum Likelihood Estimation
  • Numerical Analysis
  • Optimal Estimators
  • Random Variables
  • Signal Processing
  • Statistical Algorithms

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Phased Array Antenna Design.