Detection of Fast-Moving and Accelerating Target Using Linear Frequency-Modulated Continuous-Wave Radars

The challenges of range migration (RM) and Doppler frequency migration (DFM) are inherent in detecting fast-moving and accelerating targets using linear frequency-modulated continuous-wave (LFMCW) radar. Through the analysis of LFMCW echo components, it becomes evident that RM and DFM are primarily caused by some specific components. Therefore, we propose a novel approach that leverages the symmetry of the LFMCW echoes in both the fast-time and the slow-time domains to generate a signal with an opposite phase change to the original echoes. This signal can be utilized to eliminate the components of the original signal that contribute to RM and DFM. The proposed method offers several advantages over existing detection methods for LFMCW radars, including simplicity of implementation, high detection probability, and high signal-to-noise ratio output. In addition, a cross-term suppression algorithm is introduced for effective multitarget processing. The effectiveness of the proposed method is validated through both simulated and real-world radar data.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-08-19
DOI
https://doi.org/10.1109/jsen.2024.3436604
Primary Topic
Advanced SAR Imaging Techniques
Type
article
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article

Detection of Fast-Moving and Accelerating Target Using Linear Frequency-Modulated Continuous-Wave Radars

Zhenmiao Deng, Rui Zhang, Maozhong Fu, Jun Tang
IEEE Sensors Journal
Advanced SAR Imaging Techniques
article

Detection of Fast-Moving and Accelerating Target Using Linear Frequency-Modulated Continuous-Wave Radars

Zhenmiao Deng, Rui Zhang, Maozhong Fu, Jun Tang
article en

Abstract

The challenges of range migration (RM) and Doppler frequency migration (DFM) are inherent in detecting fast-moving and accelerating targets using linear frequency-modulated continuous-wave (LFMCW) radar. Through the analysis of LFMCW echo components, it becomes evident that RM and DFM are primarily caused by some specific components. Therefore, we propose a novel approach that leverages the symmetry of the LFMCW echoes in both the fast-time and the slow-time domains to generate a signal with an opposite phase change to the original echoes. This signal can be utilized to eliminate the components of the original signal that contribute to RM and DFM. The proposed method offers several advantages over existing detection methods for LFMCW radars, including simplicity of implementation, high detection probability, and high signal-to-noise ratio output. In addition, a cross-term suppression algorithm is introduced for effective multitarget processing. The effectiveness of the proposed method is validated through both simulated and real-world radar data.

IEEE Sensors JournalVol. 24(21)
Sun Yat-sen University (CN), Xiamen University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 80%
Advanced SAR Imaging Techniques
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