Detection of Fast-Moving and Accelerating Target Using Linear Frequency-Modulated Continuous-Wave Radars
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Le résumé fourni par la source
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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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Detection of Fast-Moving and Accelerating Target Using Linear Frequency-Modulated Continuous-Wave Radars
- Date Crossref
- 01/11/2024
- Éditeur
- Institute of Electrical and Electronics Engineers (IEEE)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Xiamen University of Technology Fujian Key Laboratory of Communication Network and Information Processing pays non établi dans la noticeUniversité ou école supérieure
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Sun Yat-sen University pays non établi dans la noticeUniversité ou école supérieure
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School of Electronics and Communication Engineering pays non établi dans la noticeUniversité ou école supérieure
Fujian Key Laboratory of Communication Network and Information Processing — Xiamen University of Technology, Sun Yat-sen University et School of Electronics and Communication Engineering.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.