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Rotating Single-Antenna Spoofing Signal Detection Method Based on IPNN.

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  • 1Information and Navigation College, Air Force Engineering University, Xi'an 710077, China.

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Summary
This summary is machine-generated.

This study introduces a novel rotating single-antenna method using an improved probabilistic neural network (IPNN) for detecting spoofing signals. The technique achieves high accuracy, enabling real-time detection in static receivers.

Keywords:
IPNNforward spoofingrotating single antenna differential detection Modelsmoothing factor

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Area of Science:

  • Navigation Systems
  • Signal Processing
  • Artificial Intelligence

Background:

  • Traditional spoofing detection relies on spatial processing, limiting its use with static single-antenna receivers.
  • Static receivers cannot employ methods requiring antenna arrays or movement for spoofing signal detection.
  • There is a need for effective spoofing detection methods compatible with static single-antenna systems.

Purpose of the Study:

  • To propose and validate a rotating single-antenna spoofing signal detection method for static receivers.
  • To leverage carrier-phase double-difference variations caused by antenna rotation for spoofing detection.
  • To develop an improved probabilistic neural network (IPNN) model for classifying and processing spoofing signals.

Main Methods:

  • A rotating single-antenna receiver collects carrier-phase data, which undergoes double-difference processing.
  • An improved probabilistic neural network (IPNN) is constructed with an adaptively adjusted smoothing factor.
  • The IPNN model classifies carrier-phase double-difference observations to identify spoofing signals.

Main Results:

  • The proposed IPNN method achieved a spoofing signal detection accuracy of 98.84% in simulations.
  • Performance significantly surpassed classical probabilistic neural network (PNN) and back-propagation neural network (BPNN) methods.
  • The method effectively identified abnormal satellite signals in simulated spoofing scenarios.

Conclusions:

  • The rotating single-antenna method with IPNN offers a viable solution for spoofing detection in static receivers.
  • This technique enables real-time detection of forwarding spoofing signals, enhancing navigation system security.
  • The approach demonstrates practical value and superior performance compared to existing neural network models.