Enhanced FFT–Root–MUSIC Algorithm for FMCW Radar
Author Information
Author(s): Cao Jiaxin, Yi Huiyue, Zhang Wuxiong, Xu Hui, Sun Guangcai
Primary Institution: Key Laboratory of Science and Technology on Micro-System, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences
Hypothesis
The proposed CEEMD-SVD-FRM algorithm will improve joint range and velocity estimation for FMCW radar in low SNR conditions.
Conclusion
The CEEMD-SVD-FRM algorithm significantly enhances the accuracy and robustness of joint range and velocity estimation for FMCW radar, especially in low SNR environments.
Supporting Evidence
- The CEEMD-SVD-FRM algorithm was validated through simulations and experiments.
- It demonstrated significant improvement in the robustness and accuracy of range and velocity estimates for FMCW radar.
- The proposed method outperformed traditional algorithms in low SNR environments.
Takeaway
This study created a new way to help radar measure how far away things are and how fast they're moving, even when the signals are really noisy.
Methodology
The study used CEEMD and SVD to denoise the radar signals before applying the FFT-Root-MUSIC algorithm for estimating range and velocity.
Limitations
The computational complexity of the CEEMD-SVD-FRM algorithm is higher than some traditional methods, which may limit its practical application in real-time systems.
Digital Object Identifier (DOI)
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