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Forward Scatter Radar (FSR) systems can theoretically detect aircraft using cosmic signals. This study proposes an algorithm for detecting planes via Forward Scatter (FS) effects from weak cosmic sources.

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Area of Science:

  • Radio astronomy
  • Radar systems engineering
  • Aerospace engineering

Background:

  • Forward Scatter Radar (FSR) systems offer unique detection capabilities.
  • Utilizing cosmic emissions (pulsars, Sun, Moon) as signal sources presents novel opportunities.
  • Detecting aircraft with low-power cosmic signals requires advanced signal processing.

Purpose of the Study:

  • To analyze the feasibility of using cosmic emissions for Forward Scatter Radar (FSR) aircraft detection.
  • To develop and evaluate a suboptimal multichannel algorithm for joint detection and parameter estimation.
  • To determine the theoretical detection range and system requirements for such a FSR system.

Main Methods:

  • Development of a suboptimal multichannel algorithm for joint detection and parameter estimation.
  • Preliminary compensation of powerful direct signals from cosmic sources (pulsar, Sun, Moon).
  • Derivation of Signal-to-Noise Ratio (SNR) expressions and detection characteristics.
  • Methodology for calculating maximum detection distance.

Main Results:

  • Expressions for SNR at the detector and compensator inputs were derived.
  • Detection characteristics were obtained, and compensator suppression requirements were evaluated.
  • A methodology for calculating maximum detection distance was proposed.

Conclusions:

  • Forward Scatter (FS) effects theoretically enable aircraft detection by FSR systems at close ranges.
  • The proposed algorithm demonstrates the possibility of using very weak cosmic signals for aircraft detection.
  • This research highlights the potential of cosmic-based FSR for specific surveillance applications.