Detection of Narrow-Band Low-Level Signals: Simulated Performance of High-Resolution Eigenstructure Methods Versus Conventional Beamforming.

Abstract

In this report the detection of narrow-band low-level signals by passive sonar is addressed, specifically the detection of a low-level point source in a noise field modelled as a large number of high-level source lines embedded in white additive noise. This model may give, with a conventional processor, a measured noise field where the low-level source can be masked by high-level sources along similar directions. In this context, high-resolution eigenstructure detection algorithms are shown to achieve a significantly higher probability of detection than the conventional beamformer. The performance of four detection algorithms is compared using synthetic data- a companion report will present real data results. Keywords include: Detection performance; Eigenstructure methods; High-resolution; Interfering sources. NATO furnished. (RH)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1988
Accession Number
ADA200486

Entities

People

  • S. Jesus

Organizations

  • SACLANT ASW Research Centre

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Analyzers
  • Angle Of Arrival
  • Background Noise
  • Bandwidth
  • Covariance
  • Data Processing
  • Detection
  • Detectors
  • False Alarms
  • Frequency
  • Governments
  • High Resolution
  • Nato
  • Noise
  • Vector Spaces
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Phased Array Antenna Design.