Radar 3-D Forward-Looking Imaging for Extended Targets Based on Attribute Scattering Model

被引:1
|
作者
Liu, Qingping [1 ]
Cheng, Yongqiang [1 ]
Cao, Kaicheng [1 ]
Liu, Kang [1 ]
Wang, Hongqiang [1 ]
机构
[1] Natl Univ Def Technol, Coll Elect Sci & Technol, Changsha 410073, Peoples R China
基金
中国国家自然科学基金;
关键词
Imaging; Radar imaging; Solid modeling; Mathematical models; Image reconstruction; Adaptation models; Radar scattering; Attribute scattering model (ASM); radar 3-D imaging; radar forward-looking imaging; wavefront modulation; RECONSTRUCTION;
D O I
10.1109/LGRS.2023.3250470
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Radar 3-D forward-looking imaging has always been a difficult issue in the radar detection. In this letter, a forward-looking 3-D imaging method based on attribute scattering model (ASM) for extended targets is proposed. First, an imaging model based on point scattering model (PSM) with wavefront modulation technique is constructed to achieve 3-D forward-looking imaging. Second, considering the fact that PSM-based imaging model assumes that the target is composed of a set of discrete points, it is not suitable for reconstructing the structure feature of extended targets, i.e., line structure and surface structure. To extract more geometry information of the target, the ASM that includes point scatterers (PSs), line-segment scatterers (LSSs), and rectangular-plate scatterers (RPSs) is adapted to the 3-D imaging model. Solving the parameter sets of PSs, LSSs, and RPSs with the alternating direction method of multipliers (ADMMs) algorithm, the edge and surface structure of the extended target can be reconstructed. The simulation results based on electromagnetic (EM) calculation by FEKO verify the effectiveness of the proposed method.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] 3-D Imaging for Millimeter-Wave Forward-Looking Synthetic Aperture Radar (SAR)
    Nguyen, Lam H.
    Le, Calvin
    PASSIVE AND ACTIVE MILLIMETERWAVE IMAGING XXIII, 2020, 11411
  • [2] Low-Complexity Forward-Looking Volumetric SAR for High Resolution 3-D Radar Imaging
    Albaba, Adnan
    Bauduin, Marc
    Sahli, Hichem
    Bourdoux, Andre
    2023 IEEE RADAR CONFERENCE, RADARCONF23, 2023,
  • [3] Radar Forward-Looking Imaging for Complex Targets Based on Sparse Representation With Dictionary Learning
    Liu, Qingping
    Cheng, Yongqiang
    Cao, Kaicheng
    Liu, Kang
    Wang, Hongqiang
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [4] Rotorcraft-Borne 3-D Forward-Looking MIMO SAR Imaging
    Ren, Jiaying
    Li, Jian
    Nguyen, Lam H.
    2021 IEEE RADAR CONFERENCE (RADARCONF21): RADAR ON THE MOVE, 2021,
  • [5] Millimeter-Wave Forward-Looking 3-D SAR Imaging Challenges
    Nguyen, Lam H.
    PASSIVE AND ACTIVE MILLIMETER-WAVE IMAGING XXII, 2019, 10994
  • [6] Radar Forward-Looking Imaging Based on Chirp Beam Scanning
    Yang, Yang
    Cheng, Yongqiang
    Liu, Kang
    Wu, Hao
    Liu, Hongyan
    Wang, Hongqiang
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2025, 22
  • [7] Phased array radar forward-looking imaging based on correlated imaging
    Ruan F.
    Guo L.
    Li Y.
    Xu R.
    Ruan, Feng, 1600, Chinese Institute of Electronics (43): : 2457 - 2462
  • [8] Forward-Looking GPR Imaging with Near-Optimal 3-D Synthetic Array
    Wang, Jianping
    Yarovoy, Alexander
    2019 13TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2019,
  • [9] A Maximum Likelihood Extractor for Forward-looking Imaging of Multiple Unresolved Targets in Monopulse Radar
    Yang, Yang
    Li, Yueli
    2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR), 2016,
  • [10] Adaptive imaging for forward-looking ground penetrating radar
    Wang, YW
    Li, X
    Sun, YJ
    Stoica, P
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2005, 41 (03) : 922 - 936