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Target Doppler Rate Estimation Based on the Complex Phase of STFT in Passive Forward Scattering Radar.
Karol Abratkiewicz1, Piotr Krysik2, Zbigniew Gajo2
1Institute of Electronics Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, Poland. k.abratkiewicz@elka.pw.edu.pl.
Sensors (Basel, Switzerland)
|August 23, 2019
Summary
This study introduces a new method for estimating object motion in passive forward scattering radars (PFSR). The approach accurately determines the Doppler rate using time-frequency analysis, validated with simulations and real-world radar data.
Area of Science:
- Electrical Engineering
- Signal Processing
- Radar Systems
Background:
- Passive Forward Scattering Radar (PFSR) systems utilize bistatic or multistatic geometries.
- Object motion parameter estimation is crucial for PFSR applications.
- Traditional methods face challenges with unambiguous range measurements in PFSR.
Purpose of the Study:
- To present a novel method for estimating motion parameters in PFSR.
- To determine the modulation factor (Doppler rate) using time-frequency analysis.
- To validate the proposed method with simulations and real-world data.
Main Methods:
- Utilized the chirp rate estimation concept in the time-frequency (TF) domain.
- Employed the complex phase of the short-time Fourier transform (STFT) and its modifications.
- Verified mathematical dependencies and compared estimator accuracy against the Cramer-Rao Lower Bound (CRLB).
Main Results:
- Successfully estimated the Doppler rate using TF analysis.
- Simulations demonstrated the accuracy of the proposed estimators.
- Real-life data from a car crossing a baseline validated the method's effectiveness.
Conclusions:
- The proposed method accurately estimates Doppler rate in PFSR.
- Time-frequency analysis provides a robust approach for motion parameter estimation.
- The study confirms the utility of chirp rate estimation for PFSR applications.
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