Employing frequency and antenna spatial diversity for improved, non-EMI limited multi-radar target detection and tracking

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

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 intelligent decision algorithms are applied to optimize the acquisition, tracking, and discrimination of moving targets with low false alarm rate. The approach is three-fold: (i) apply multiobjective joint optimization algorithms to set limits on the operational parameters of the radars to preclude electromagnetic interference (EMI); (ii) measure and process radar returns in a shared manner for target feature extraction based on waveform diversity techniques; and (iii) 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 publication2006 International Waveform Diversity and Design Conference, WDD 2006 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781538648483
DOIs
StatePublished - Mar 21 2018
Event2nd International Waveform Diversity and Design Conference, WDD 2006 - Lihue, United States
Duration: Jan 22 2006Jan 27 2006

Publication series

Name2006 International Waveform Diversity and Design Conference, WDD 2006 - Proceedings
Volume2018-January

Other

Other2nd International Waveform Diversity and Design Conference, WDD 2006
CountryUnited States
CityLihue
Period1/22/061/27/06

Keywords

  • Electromagnetic Interference/Compatibility
  • Multi-Sensor Feature-Aided Extraction
  • Radar Cross Section
  • Sensor Fusion
  • Sensor Integration

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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