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
Transformasi Hough dikenali sebagai teknik yang berkesan untuk pengesanan sasaran dan permulaan jejak dalam radar carian. Walau bagaimanapun, kebanyakan kertas kerja telah memfokuskan pada aplikasi ringkas teknik ini yang mempertimbangkan ruang data 2-D untuk transformasi Hough. Dalam makalah ini, kaedah baharu berdasarkan xthe Hough transform diperkenalkan untuk mengesan sasaran dalam ruang data 3-D. Ruang data dibina daripada isyarat radar pengawasan yang dikembalikan menggunakan julat dan maklumat galas beberapa imbasan berturut-turut. Maklumat ini dipetakan ke dalam 3-D xyt Ruang data Cartesian. Sasaran dimodelkan dengan empat parameter dalam ruang data ini. Pengesan Hough 3-D yang dicadangkan kemudiannya digunakan untuk mengesan sasaran yang wujud dalam ruang pengawasan 3-D dengan memetakan isyarat radar yang dikembalikan dari ruang data ke ruang parameter. Pengesan ini, yang dibina daripada dua peringkat pengesanan, mengintegrasikan data yang dikembalikan bagi setiap sasaran secara tidak koheren sepanjang trajektori 3-Dnya dalam satu sel ruang parameter yang berkaitan dengan sasaran ini. Oleh itu, prestasi pengesanan akan bertambah baik. Keberkesanan pengesan Hough 3-D baharu ditunjukkan melalui memperoleh statistik pengesanan secara analitikal dan membandingkan keputusan dengan beberapa simulasi komprehensif. Peningkatan prestasi pengesan ini ditunjukkan dengan membandingkan julat pengesanannya dengan pengesan konvensional. Pengesan yang dicadangkan juga dinilai dengan data radar sebenar dan kecekapannya disahkan.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Salinan
Ali MOQISEH, Mohammad M. NAYEBI, "3-D Hough Detector for Surveillance Radars" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 3, pp. 685-695, March 2010, doi: 10.1587/transcom.E93.B.685.
Abstract: The Hough transform is known to be an effective technique for target detection and track initiation in search radars. However, most papers have focused on the simplistic applications of this technique which consider a 2-D data space for the Hough transform. In this paper, a new method based on xthe Hough transform is introduced for detecting targets in a 3-D data space. The data space is constructed from returned surveillance radar signal using the range and bearing information of several successive scans. This information is mapped into a 3-D x-y-t Cartesian data space. Targets are modeled with four parameters in this data space. The proposed 3-D Hough detector is then used to detect the existent targets in the 3-D surveillance space by mapping the returned signal of the radar from the data space to the parameter space. This detector, which is constructed of two detection stages, integrates the returned data of each target non-coherently along its 3-D trajectory in one parameter space cell related to this target. Hence, the detection performance will improve. The effectiveness of the new 3-D Hough detector is demonstrated through deriving the detection statistics analytically and comparing the results with those of several comprehensive simulations. The performance improvement of this detector is shown by comparing its detection range with the conventional detector. The proposed detector is also evaluated with real radar data and its efficiency is confirmed.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.685/_p
Salinan
@ARTICLE{e93-b_3_685,
author={Ali MOQISEH, Mohammad M. NAYEBI, },
journal={IEICE TRANSACTIONS on Communications},
title={3-D Hough Detector for Surveillance Radars},
year={2010},
volume={E93-B},
number={3},
pages={685-695},
abstract={The Hough transform is known to be an effective technique for target detection and track initiation in search radars. However, most papers have focused on the simplistic applications of this technique which consider a 2-D data space for the Hough transform. In this paper, a new method based on xthe Hough transform is introduced for detecting targets in a 3-D data space. The data space is constructed from returned surveillance radar signal using the range and bearing information of several successive scans. This information is mapped into a 3-D x-y-t Cartesian data space. Targets are modeled with four parameters in this data space. The proposed 3-D Hough detector is then used to detect the existent targets in the 3-D surveillance space by mapping the returned signal of the radar from the data space to the parameter space. This detector, which is constructed of two detection stages, integrates the returned data of each target non-coherently along its 3-D trajectory in one parameter space cell related to this target. Hence, the detection performance will improve. The effectiveness of the new 3-D Hough detector is demonstrated through deriving the detection statistics analytically and comparing the results with those of several comprehensive simulations. The performance improvement of this detector is shown by comparing its detection range with the conventional detector. The proposed detector is also evaluated with real radar data and its efficiency is confirmed.},
keywords={},
doi={10.1587/transcom.E93.B.685},
ISSN={1745-1345},
month={March},}
Salinan
TY - JOUR
TI - 3-D Hough Detector for Surveillance Radars
T2 - IEICE TRANSACTIONS on Communications
SP - 685
EP - 695
AU - Ali MOQISEH
AU - Mohammad M. NAYEBI
PY - 2010
DO - 10.1587/transcom.E93.B.685
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2010
AB - The Hough transform is known to be an effective technique for target detection and track initiation in search radars. However, most papers have focused on the simplistic applications of this technique which consider a 2-D data space for the Hough transform. In this paper, a new method based on xthe Hough transform is introduced for detecting targets in a 3-D data space. The data space is constructed from returned surveillance radar signal using the range and bearing information of several successive scans. This information is mapped into a 3-D x-y-t Cartesian data space. Targets are modeled with four parameters in this data space. The proposed 3-D Hough detector is then used to detect the existent targets in the 3-D surveillance space by mapping the returned signal of the radar from the data space to the parameter space. This detector, which is constructed of two detection stages, integrates the returned data of each target non-coherently along its 3-D trajectory in one parameter space cell related to this target. Hence, the detection performance will improve. The effectiveness of the new 3-D Hough detector is demonstrated through deriving the detection statistics analytically and comparing the results with those of several comprehensive simulations. The performance improvement of this detector is shown by comparing its detection range with the conventional detector. The proposed detector is also evaluated with real radar data and its efficiency is confirmed.
ER -