Non-interference limited multi-radar target detection and tracking

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

Research output: Chapter in Book/Entry/PoemChapter


This chapter discussed the results of investigations aimed at applying a cooperative multi-sensor approach to enhance the acquisition, tracking, and discrimination of moving targets with low false alarm rate. Multiple radars are assumed to operate together in a non-interference limited manner. A three-fold approach was discussed: (1) applying multi-objective joint optimization algorithms to set limits on the operational parameters of the radars to preclude electromagnetic interference (EMI) based on the Transmission Hyperspace paradigm; (2) measuring and processing radar returns in a shared manner for target feature extraction based on waveform diversity techniques; and (3) employing feature-aided track/fusion algorithms to detect, discriminate, and track real targets from the adversary noise cloud. Computer simulations showed that with the help of simple signal amplitude features obtained from scattering cross section measurements using spatially and frequency diverse radars the overall sensor system can achieve a much better performance for data association and target tracking.

Original languageEnglish (US)
Title of host publicationPrinciples of Waveform Diversity and Design
PublisherInstitution of Engineering and Technology
Number of pages11
ISBN (Electronic)9781613531501
ISBN (Print)9781891121951
StatePublished - Jan 1 2011


  • Adversary noise cloud
  • Computer simulations
  • Cooperative multisensor approach
  • Data association
  • Electromagnetic interference
  • Electromagnetic wave scattering
  • Feature extraction
  • Feature-aided tracking
  • Frequency diverse radars
  • Fusion algorithms
  • Low false alarm rate
  • Measuring radar
  • Moving target acquisition
  • Moving target discrimination
  • Moving target tracking
  • Multiobjective joint optimization algorithms
  • Noninterference limited manner
  • Noninterference limited multiradar target detection
  • Noninterference limited multiradar target tracking
  • Optimisation
  • Processing radar
  • Radar cross-sections
  • Radar operational parameters
  • Radar signal processing
  • Radar tracking
  • Scattering cross section measurements
  • Sensor fusion
  • Simple signal amplitude features
  • Spatially diverse radars
  • Target tracking
  • Three-fold approach
  • Transmission hyperspace paradigm-based EMI
  • Transmission hyperspace paradigm-based electromagnetic interference
  • Waveform diversity techniques-based target feature extraction

ASJC Scopus subject areas

  • General Engineering


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