The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Une méthode de super-résolution à trajets multiples basée sur la décomposition triangulaire est proposée pour améliorer la résolution de portée des petits altimètres radar de véhicules aériens sans pilote (UAV) qui utilisent un seul canal avec une forme d'onde à propagation directe continue. Dans les applications techniques des petits altimètres radar pour drones, les scénarios de trajets multiples sont assez courants. Lorsque le processus de filtrage adapté conventionnel est utilisé dans ces environnements, il est difficile d'identifier plusieurs cibles dans la même cellule de portée en raison du chevauchement entre les échos. Pour améliorer les performances, nous décomposons les pics superposés produits par le filtrage adapté en une série de formes d'onde triangulaires de base afin d'identifier diverses cibles avec différentes corrélations décalées dans le temps de la séquence de pseudo-bruit (PN). Le déplacement de l'échelle de temps permet d'identifier des cibles dans la même unité de résolution de portée. L'analyse théorique et les expériences montrent que la résolution de plage peut être considérablement améliorée, car elle surpasse les processus de filtrage adaptés traditionnels.
Di BAI
Wuhan University,CETC Key Laboratory of Avionic Information System Technology
Zhenghai WANG
CETC Key Laboratory of Avionic Information System Technology
Mao TIAN
Wuhan University
Xiaoli CHEN
Wuhan University
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Di BAI, Zhenghai WANG, Mao TIAN, Xiaoli CHEN, "Improving Range Resolution by Triangular Decomposition for Small UAV Radar Altimeters" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 8, pp. 1933-1939, August 2018, doi: 10.1587/transcom.2017EBP3379.
Abstract: A triangular decomposition-based multipath super-resolution method is proposed to improve the range resolution of small unmanned aerial vehicle (UAV) radar altimeters that use a single channel with continuous direct spread waveform. In the engineering applications of small UAV radar altimeter, multipath scenarios are quite common. When the conventional matched filtering process is used under these environments, it is difficult to identify multiple targets in the same range cell due to the overlap between echoes. To improve the performance, we decompose the overlapped peaks yielded by matched filtering into a series of basic triangular waveforms to identify various targets with different time-shifted correlations of the pseudo-noise (PN) sequence. Shifting the time scale enables targets in the same range resolution unit to be identified. Both theoretical analysis and experiments show that the range resolution can be improved significantly, as it outperforms traditional matched filtering processes.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3379/_p
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@ARTICLE{e101-b_8_1933,
author={Di BAI, Zhenghai WANG, Mao TIAN, Xiaoli CHEN, },
journal={IEICE TRANSACTIONS on Communications},
title={Improving Range Resolution by Triangular Decomposition for Small UAV Radar Altimeters},
year={2018},
volume={E101-B},
number={8},
pages={1933-1939},
abstract={A triangular decomposition-based multipath super-resolution method is proposed to improve the range resolution of small unmanned aerial vehicle (UAV) radar altimeters that use a single channel with continuous direct spread waveform. In the engineering applications of small UAV radar altimeter, multipath scenarios are quite common. When the conventional matched filtering process is used under these environments, it is difficult to identify multiple targets in the same range cell due to the overlap between echoes. To improve the performance, we decompose the overlapped peaks yielded by matched filtering into a series of basic triangular waveforms to identify various targets with different time-shifted correlations of the pseudo-noise (PN) sequence. Shifting the time scale enables targets in the same range resolution unit to be identified. Both theoretical analysis and experiments show that the range resolution can be improved significantly, as it outperforms traditional matched filtering processes.},
keywords={},
doi={10.1587/transcom.2017EBP3379},
ISSN={1745-1345},
month={August},}
Copier
TY - JOUR
TI - Improving Range Resolution by Triangular Decomposition for Small UAV Radar Altimeters
T2 - IEICE TRANSACTIONS on Communications
SP - 1933
EP - 1939
AU - Di BAI
AU - Zhenghai WANG
AU - Mao TIAN
AU - Xiaoli CHEN
PY - 2018
DO - 10.1587/transcom.2017EBP3379
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2018
AB - A triangular decomposition-based multipath super-resolution method is proposed to improve the range resolution of small unmanned aerial vehicle (UAV) radar altimeters that use a single channel with continuous direct spread waveform. In the engineering applications of small UAV radar altimeter, multipath scenarios are quite common. When the conventional matched filtering process is used under these environments, it is difficult to identify multiple targets in the same range cell due to the overlap between echoes. To improve the performance, we decompose the overlapped peaks yielded by matched filtering into a series of basic triangular waveforms to identify various targets with different time-shifted correlations of the pseudo-noise (PN) sequence. Shifting the time scale enables targets in the same range resolution unit to be identified. Both theoretical analysis and experiments show that the range resolution can be improved significantly, as it outperforms traditional matched filtering processes.
ER -