3D InISAR-based target reconstruction algorithm by using a Multi-Channel ground-based radar Demonstrator

被引:0
|
作者
Stagliano, D. [1 ]
Giusti, E.
Lischi, S.
Martorella, M.
机构
[1] Univ Pisa, Dept Informat Engn, I-56100 Pisa, Italy
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A 3D reconstruction algorithm for non cooperative moving targets is proposed in this paper. This method exploits interferometric ISAR imaging (InISAR) to estimate the heights of the dominant scatterers with respect to the Image Projection Plane. In particular, the interferometric phases measured from two orthogonal baselines are used to reconstruct the third dimension from 2D-ISAR images. Some aspects that make such approach effective in a real scenario have been faced and their problems solved. In order to verify the effectiveness and the reliability of this technique, data from a suitably designed Multi Channel ground-based radar has been used.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Multi-channel radar target micro-motion feature classification method based on EfficientNet
    Wang, Xiaoyi
    Luo, Yunhua
    Yu, Zhongjun
    Sun, Hao
    Wang, Xiaobei
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2024, 46 (09): : 2988 - 2998
  • [42] Application of a ground-based, multi-channel microwave radiometer to the alerting of low-level windshear at an airport
    Chan, P. W.
    Lee, Y. F.
    METEOROLOGISCHE ZEITSCHRIFT, 2011, 20 (04) : 423 - 429
  • [43] 3-Dimensional Target Localization Accuracy Analysis Based on Radar Network with Aerial and Ground-based Nodes
    Lu, Taoyu
    Liu, Feifeng
    Tian, Lun
    Zeng, Tao
    Long, Teng
    2017 18TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2017,
  • [44] Characteristics Analysis of the Multi-Channel Ground-Based Microwave Radiometer Observations during Various Weather Conditions
    Liu, Meng
    Liu, Yan-An
    Shu, Jiong
    ATMOSPHERE, 2022, 13 (10)
  • [45] 3D IMAGE RECONSTRUCTION ALGORITHM FOR A SPARSE ARRAY RADAR SYSTEM BASED ON COMPRESSIVE SENSING
    Chernyak, Iakov
    Sato, Motoyuki
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 2392 - 2395
  • [46] BS-to-Ground Channel Reconstruction With 3D Obstacle Map Based on RSS Measurements
    Fan, Chenchen
    Zhong, Xiaofeng
    Wei, Jie
    IEEE ACCESS, 2019, 7 : 99633 - 99641
  • [47] MULTI-CHANNEL MULTI-SPEAKER ASR USING 3D SPATIAL FEATURE
    Shao, Yiwen
    Zhang, Shi-Xiong
    Yu, Dong
    2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 6067 - 6071
  • [48] A 1.5-D Multi-Channel EEG Compression Algorithm Based on NLSPIHT
    Xu, Gaowei
    Han, Jun
    Zou, Yao
    Zeng, Xiaoyang
    IEEE SIGNAL PROCESSING LETTERS, 2015, 22 (08) : 1118 - 1122
  • [49] Multi-channel Object-Based Spatial Parameter Compression Approach for 3D Audio
    Yang, Cheng
    Hu, Ruimin
    Su, Liuyue
    Wang, Xiaochen
    Zhang, Maosheng
    Qu, Shenming
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2015, PT I, 2015, 9314 : 354 - 364
  • [50] Genetic algorithm based 3D face reconstruction
    Wang, Chengzhang
    Yin, Baocai
    Shi, Qin
    Sun, Yanfeng
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3643 - +