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A Combined Sensing System for Intrusion Detection Using Anti-Jamming Random Code Signals.

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  • 1Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education and Shanxi Province, Taiyuan University of Technology, Taiyuan 030024, China.

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Summary

This study introduces a novel human intrusion detection system combining leaky coaxial cable (LCX) and radar sensors. The system offers early alarms, precise path tracking, and activity recognition with high accuracy and anti-jamming capabilities.

Keywords:
intrusion detectionleaky coaxial cable (LCX) sensorradar sensorrandom code signalsensing system

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Area of Science:

  • Electrical Engineering
  • Security Systems
  • Signal Processing

Background:

  • Important locations require robust security systems to prevent illegal intrusion, theft, and destruction.
  • Existing human intrusion detection technologies may lack reliability or anti-jamming capabilities in complex environments.

Purpose of the Study:

  • To propose and experimentally demonstrate a combined sensing system for reliable human intrusion detection.
  • To enhance security by integrating multiple sensing technologies and advanced signal processing.
  • To achieve early intrusion alarming, precise path tracking, and activity recognition.

Main Methods:

  • A combined sensing system integrating a leaky coaxial cable (LCX) sensor and a single-transmitter-double-receivers (STDR) radar sensor.
  • Utilizing orthogonal physical random code signals generated by Boolean chaos for detection.
  • Employing correlation traces for early alarming, correlation ranging and ellipse positioning for path tracking, and time-frequency analysis with support vector machines for activity recognition.

Main Results:

  • The combined system achieved early intrusion alarms and accurate path tracking with 13 cm positioning accuracy.
  • Intruder activities (eight distinct actions) were recognized with an average accuracy of 98.75%.
  • The system demonstrated significant anti-jamming tolerance (27.6 dB) due to the properties of the random code signals.

Conclusions:

  • The proposed combined sensing system provides a stable and reliable solution for human intrusion detection.
  • The system's high accuracy, precise tracking, activity recognition, and anti-jamming capabilities make it suitable for complex electromagnetic environments.
  • This technology enhances security for important areas by offering advanced detection and recognition features.