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Low-Slow-Small (LSS) Target Detection Based on Micro Doppler Analysis in Forward Scattering Radar Geometry.
Surajo Alhaji Musa1,2, Raja Syamsul Azmir Raja Abdullah3, Aduwati Sali1
1Wireless and Photonics Networks (WIPNET), Department of Computer and Communication System Engineering University Putra Malaysia (UPM), Serdang 43400, Selangor Darul Ehsan, Malaysia.
Sensors (Basel, Switzerland)
|August 1, 2019
Summary
This study demonstrates a novel method for detecting small, low-flying drones using micro-Doppler analysis from rotating blades in a Forward Scattering Radar (FSR) system. This approach enhances drone detection capabilities against biological targets.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Aerospace Defense Technology
Background:
- Civilian drone misuse presents a growing security challenge, requiring advanced detection methods.
- Small, low-slow (LSS) drones are difficult to detect due to their small radar cross-section (RCS) and similarity to biological targets like birds.
- Existing drone detection methods (RF, thermal, acoustic, video) have limitations.
Purpose of the Study:
- To investigate the use of micro-Doppler analysis from drone rotating blades for detection within a Forward Scattering Radar (FSR) geometry.
- To leverage the advantages of FSR, including improved RCS, direct signal perturbation, and high resolution for enhanced detection.
- To validate the feasibility of using a parabolic dish antenna as a receiver in FSR for drone detection.
Main Methods:
- Developed a received signal model for micro-Doppler analysis tailored to drone blades.
- Conducted simulation work to model drone detection scenarios.
- Performed experimental validation using a commercial drone and an FSR system with a parabolic dish antenna.
Main Results:
- Successfully detected a commercial drone using the FSR system.
- Extracted micro-Doppler features characteristic of a rotating drone blade.
- Demonstrated the effectiveness of a parabolic dish antenna as a receiver in the FSR configuration.
Conclusions:
- The FSR system with micro-Doppler analysis of rotating blades is a feasible method for detecting small drones.
- This approach offers improved detection capabilities compared to conventional radar systems.
- The findings pave the way for implementing active or passive FSR systems for enhanced drone surveillance.
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