Passive Multistatic Detection of Maritime Targets using Opportunistic Radars

Abstract

Passive multistatic radar (PMR) makes use of transmission from opportunistic radars to detect targets. In this thesis, a maritime scenario is created with multiple merchant vessels transmitting at S-band (3 GHz), serving as opportunistic radars and a frigate-size warship acting as the PMR receiver and to detect a low-radar cross-section (RCS) target. The simulations are carried out with actual technical parameters from open sources to best approximate practical performance. To further improve realism, the bistatic RCS simulation of the stealthy Republic of Singapore Navy Formidable-class frigate was included to validate the results. The simulation results show that the multistatic geometry of four opportunistic transmitters at the same range from the passive receiver with 90-degree separation offers the best coverage. Passive detection of a target of up to a radial range of 30 km with detection coverage of 85% or better is possible. This range coverage is similar to that of the monostatic radar but lacks in the area of detection coverage. The simulations also demonstrated that the detection accuracy is also the highest using this same geometry. The worst-case uncertainty ellipse around the low-RCS target is less than 150 m.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2014
Accession Number
ADA607810

Entities

People

  • Chong S. Sing

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Aircrafts
  • Bandwidth
  • Detection
  • Detectors
  • Frequency Bands
  • Geometry
  • Global Positioning Systems
  • Monostatic Radar
  • Multistatic Detection
  • Radar
  • Radar Beacons
  • Radar Cross Sections
  • Radar Equipment
  • Synthetic Aperture Radar
  • Transmitters
  • Unmanned Aerial Vehicles
  • X Band

Readers

  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.