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Cooperative Fusion Based Passive Multistatic Radar Detection.

Asma Asif1, Sithamparanathan Kandeepan1

  • 1School of Engineering, RMIT University, Melbourne 3000, Australia.

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Summary
This summary is machine-generated.

This study introduces novel blind fusion techniques for passive multistatic radar systems, enhancing target detection performance. These methods improve accuracy without needing transmitted signal or channel information.

Keywords:
detectionfusionmultistatic passive radarssingular value decompositionstatistical testing

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Information Fusion

Background:

  • Passive multistatic radar systems offer advantages over conventional radars.
  • These systems utilize spatially distributed receivers and a single transmitter for enhanced surveillance.
  • Target detection is a key challenge in passive multistatic radar operations.

Purpose of the Study:

  • To develop and evaluate advanced fusion techniques for target detection in passive multistatic radar systems.
  • To improve the spatial diversity benefits offered by multistatic configurations.
  • To introduce novel blind fusion methods that do not require prior knowledge of transmitted signals or channel characteristics.

Main Methods:

  • Analysis of hard fusion techniques with various local radar detectors.
  • Theoretical and analytical evaluation of an equal gain soft fusion technique using random matrix theory (RMT)-based detectors.
  • Proposal and simulation of six new RMT-based soft fusion techniques.
  • All proposed methods are designed to be blind, requiring no prior signal or channel information.

Main Results:

  • The proposed blind soft fusion techniques demonstrate a significant improvement in target detection performance.
  • Simulation results validate the effectiveness of the novel fusion strategies compared to existing blind methods.
  • The RMT-based approaches provide a robust framework for analyzing and developing fusion algorithms.

Conclusions:

  • Novel blind soft fusion techniques based on random matrix theory enhance target detection in passive multistatic radar.
  • These methods effectively leverage spatial diversity without requiring knowledge of the transmitted signal or channel.
  • The developed techniques offer a promising advancement for passive radar surveillance applications.