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
허프 변환은 수색 레이더에서 표적 탐지 및 추적 개시에 효과적인 기술로 알려져 있습니다. 그러나 대부분의 논문은 Hough 변환을 위한 2D 데이터 공간을 고려하는 이 기술의 단순한 적용에 중점을 두었습니다. 본 논문에서는 3차원 데이터 공간에서 목표물을 탐지하기 위해 xthe Hough 변환을 기반으로 한 새로운 방법을 소개합니다. 데이터 공간은 여러 번의 연속 스캔의 범위 및 방위 정보를 사용하여 반환된 감시 레이더 신호로 구성됩니다. 이 정보는 3차원으로 매핑됩니다. xyt 데카르트 데이터 공간. 목표는 이 데이터 공간에서 3개의 매개변수로 모델링됩니다. 제안된 3차원 허프 검출기는 레이더의 반환 신호를 데이터 공간에서 매개변수 공간으로 매핑하여 3차원 감시 공간에 존재하는 표적을 탐지하는 데 사용됩니다. 두 개의 탐지 단계로 구성된 이 탐지기는 각 목표의 반환된 데이터를 이 목표와 관련된 하나의 매개변수 공간 셀의 3D 궤적을 따라 비일관적으로 통합합니다. 따라서 탐지 성능이 향상됩니다. 새로운 XNUMXD Hough 검출기의 효율성은 검출 통계를 분석적으로 도출하고 그 결과를 여러 포괄적인 시뮬레이션의 결과와 비교함으로써 입증됩니다. 이 검출기의 성능 향상은 기존 검출기와 검출 범위를 비교하여 나타냅니다. 제안된 검출기 역시 실제 레이더 데이터를 이용하여 평가하여 효율성을 확인하였다.
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부
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
부
@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},}
부
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 -