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Cooperative Anti-Deception Jamming in a Distributed Multiple-Radar System under Registration Errors.

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This study introduces a novel cooperative anti-deception jamming method for distributed multiple-radar systems, addressing practical registration errors. The method effectively discriminates false targets despite spatial registration inaccuracies.

Keywords:
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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Information Security

Background:

  • Distributed multiple-radar systems offer inherent advantages against deception jamming.
  • Existing anti-jamming techniques often assume perfect spatial registration, which is impractical.
  • Registration errors significantly degrade cooperative anti-jamming performance.

Purpose of the Study:

  • To develop a cooperative anti-deception jamming method for distributed multiple-radar systems that accounts for registration errors.
  • To propose a target discrimination algorithm robust to spatial registration inaccuracies.
  • To theoretically analyze the relationship between site errors and registration errors.

Main Methods:

  • Estimating target received signal vectors within an uncertainty region using the maximum likelihood (ML) algorithm, given known registration errors.
  • Implementing a target discrimination algorithm based on the correlation coefficient of estimated received signal vectors to differentiate true and false targets.
  • Deriving a theoretical model for registration error as a function of transmitter and receiver site errors.

Main Results:

  • The proposed discrimination method is verified through simulations to be feasible in the presence of registration errors.
  • Performance analysis considers the impact of jamming-to-noise ratio (JNR), registration error magnitude, target size, and discrimination threshold.
  • The method demonstrates effective discrimination of false targets despite imperfect spatial registration.

Conclusions:

  • A novel cooperative anti-deception jamming strategy is presented for distributed radar systems facing registration errors.
  • The developed target discrimination algorithm offers a practical solution for enhancing radar system resilience.
  • The findings highlight the importance of accounting for registration errors in the design of anti-jamming systems.