Forward-looking imaging based on real beam scanning phased array radars

被引:0
作者
Wen, Xiaoyang [1 ]
Kuang, Gangyao [1 ]
Hu, Jiemin [1 ]
Zhan, Ronghui [1 ]
Zhang, Jun [1 ]
机构
[1] College of Electronic Science and Engineering, National University of Defense Technology
来源
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2014年 / 35卷 / 07期
关键词
Compressive sensing; Echo modeling; Forward-looking imaging; Phased array radar; Scanning radar;
D O I
10.7527/S1000-6893.2013.0545
中图分类号
学科分类号
摘要
High resolution imaging under forward-looking condition is of great benefit to airplanes' safe landing or seekers' guidance with high precision. According to the principle of phased array radar (PAR), the echo model during the scanning process is established firstly. Using the model, some former methods such as multi-channel deconvolution are analyzed comprehensively, and the reason why these are ineffective is deduced. After that, a novel forward-looking imaging method based on compressive sensing is proposed for scanning PAR using the fact that dominant scatters are sparse or compressive in an interesting area. In the method, high angle resolution is achieved by the compressive sensing after pulse compression along the slant range which is aimed to obtain high range resolution. Results of simulations proves the effectiveness of the method, and its performance is analyzed. Although the imaging is accomplished using PAR, the method is also effective for mechanical scanning radars.
引用
收藏
页码:1977 / 1991
页数:14
相关论文
共 50 条
[41]   Data-driven airborne bayesian forward-looking superresolution imaging based on generalized Gaussian distribution [J].
Chen, Hongmeng ;
Wang, Zeyu ;
Zhang, Yingjie ;
Jin, Xing ;
Gao, Wenquan ;
Yu, Jizhou .
FRONTIERS IN SIGNAL PROCESSING, 2023, 3
[42]   SPARSE SUPERRESOLUTION IMAGING FOR AIRBORNE FORWARD-LOOKING RADAR WITH MULTIPLE FRAMES SPACE [J].
Chen, Hongmeng ;
Gao, Wenquan ;
Wang, Pei ;
Yu, Jizhou ;
Li, Yachao .
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, :1816-1819
[43]   L1/2 REGULARIZATION BASED AZIMUTH RESOLUTION ENHANCEMENT FOR MULTI-CHANNEL RADAR FORWARD-LOOKING IMAGING [J].
Sun, Jinping ;
Zhang, Xuwang ;
Zhou, Rui ;
Fu, Jinbin ;
Wang, Jun .
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, :3074-3077
[44]   Scanning Radar Forward-Looking Imaging Under High-Speed Platform by Accurate Profile-Phase Deconvolution Method [J].
Mao, Deqing ;
Tuo, Xingyu ;
Luo, Jiawei ;
Zhang, Ping ;
Zhang, Yin ;
Zhang, Yongchao ;
Huang, Yulin ;
Yang, Jianyu .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
[45]   A Method of Recognization the States of Phased Array Radars based on Intelligent Materials [J].
Quan, Wei ;
Cheng, Jihang ;
Song, Nuan .
ADVANCED MATERIALS AND ITS APPLICATION, 2012, 460 :15-18
[46]   Real-time dwell scheduling of component-oriented phased array radars [J].
Kuo, TW ;
Chao, YS ;
Kuo, CF ;
Chang, C .
IEEE TRANSACTIONS ON COMPUTERS, 2005, 54 (01) :47-60
[47]   Probabilistic real-time guarantees for component-oriented phased array radars [J].
Kuo, CF ;
Chen, YS ;
Kuo, TW ;
Lin, P ;
Chang, C .
2004 INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, PROCEEDINGS, 2004, :233-240
[48]   A Maximum Likelihood Extractor for Forward-looking Imaging of Multiple Unresolved Targets in Monopulse Radar [J].
Yang, Yang ;
Li, Yueli .
2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR), 2016,
[49]   High-resolution forward-looking imaging algorithm for missile-borne detectors [J].
Cheng Cheng ;
Gao Min ;
Zhou Xiaodong .
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2019, 30 (03) :456-466
[50]   An airborne radar forward-looking imaging algorithm based on multi-scale U-shaped networks [J].
Li, Fangning ;
Wu, Di ;
Shen, Mingwei ;
Zhu, Daiyin .
REMOTE SENSING LETTERS, 2024, 15 (04) :433-442