Real-time radar data fusion and registration systems for single integrated air picture

Andrew L. Drozd, Ruixin Niu, Irina Kasperovich, Pramod K. Varshney, Clifford E. Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Real-time fusion of data collected from a variety of radars that acquire information from multiple perspectives and/or different frequencies, is being shown to provide a more accurate picture of the adversary threat cloud than any single radar or group of radars operating independently. This paper describes a cooperative multi-sensor approach in which multiple radars operate together in a non-interference limited manner, and where decision algorithms are applied to optimize the acquisition, tracking, and discrimination of moving targets with low false alarm rate. The approach is two-fold: (i) measure and process radar returns in a shared manner for target feature extraction by exploiting frequency and spatial diversity; and (ii) employ feature-aided track/fusion algorithms to detect, discriminate, and track real targets from the adversary noise cloud. The results of computer simulations are provided that demonstrate the advantages of this approach.

Original languageEnglish (US)
Title of host publicationSignal Processing, Sensor Fusion, and Target Recognition XV
DOIs
StatePublished - Sep 20 2006
EventSignal Processing, Sensor Fusion, and Target Recognition XV - Kissimmee, FL, United States
Duration: Apr 17 2006Apr 19 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6235
ISSN (Print)0277-786X

Other

OtherSignal Processing, Sensor Fusion, and Target Recognition XV
CountryUnited States
CityKissimmee, FL
Period4/17/064/19/06

Keywords

  • Automated target recognition
  • Feature-aided tracking
  • Multisensor fusion
  • Radar cross section
  • Sensor integration

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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