Wideband Sonar Imaging Via Compressed Sensing

被引：0
作者：
Yan, Huichen [1 ]
Peng, Shibao [1 ]
Zhu, Zhaotong [2 ]
Xu, Jia [3 ]
Zhang, Xudong [1 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Xiamen Univ, Coll Ocean & Earth Sci, Xiamen 361005, Peoples R China
[3] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
来源：
OCEANS 2014 - TAIPEI | 2014年
关键词：
RECONSTRUCTION;
D O I：
暂无
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
In order to solve the contradiction of high azimuth resolution and wide swath in sonar and radar imaging, narrowband compressed sensing (CS) imaging has been studied in depth. This paper studies the wideband sonar imaging method via CS. Wideband CS imaging model is constructed. Scaling and Doppler frequency shift are considered in the model. The effect of wideband signal to traditional narrowband model is analyzed. Wideband CS imaging method is constructed. A modified l(1) norm minimization algorithm is proposed. It is shown that it is possible to apply CS to wideband sonar imaging. Numerical experiments are conducted and demonstrates the analysis.
引用
收藏
页数：4
相关论文
共 50 条
  • [21] Simulation of ISAR Imaging for a Space Target and Reconstruction Under Sparse Sampling via Compressed Sensing
    Wang, Feng
    Eibert, Thomas F.
    Jin, Ya-Qiu
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (06): : 3432 - 3441
  • [22] Analysis of off-grid effects in wideband sonar images using compressive sensing
    Stankovic, Isidora
    Ioana, Cornel
    Dakovic, Milos
    Stankovic, Ljubisa
    OCEANS 2018 MTS/IEEE CHARLESTON, 2018,
  • [23] Multi-channels wideband digital reconnaissance receiver based on compressed sensing
    Yu Nan
    Qi Xiao-hui
    Qiao Xiao-lin
    IET SIGNAL PROCESSING, 2013, 7 (08) : 731 - 742
  • [24] A new approach to radionuclide imaging using compressed sensing
    Hanif, A.
    Mansoor, A. B.
    Ejaz, T.
    IMAGING SCIENCE JOURNAL, 2013, 61 (06) : 503 - 508
  • [25] Compressed-Sensing multispectral imaging of the postoperative spine
    Worters, Pauline W.
    Sung, Kyunghyun
    Stevens, Kathryn J.
    Koch, Kevin M.
    Hargreaves, Brian A.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2013, 37 (01) : 243 - 248
  • [26] Compressed Sensing Radar Imaging: Fundamentals, Challenges, and Advances
    Yang, Jungang
    Jin, Tian
    Xiao, Chao
    Huang, Xiaotao
    SENSORS, 2019, 19 (14)
  • [27] A compressed sensing approach for enhancing infrared imaging resolution
    Xiao, Long-long
    Liu, Kun
    Han, Da-peng
    Liu, Ji-ying
    OPTICS AND LASER TECHNOLOGY, 2012, 44 (08) : 2354 - 2360
  • [28] Single point imaging with radial acquisition and compressed sensing
    Ilbey, Serhat
    Jungmann, Pia M.
    Fischer, Johannes
    Jung, Matthias
    Bock, Michael
    Oezen, Ali Caglar
    MAGNETIC RESONANCE IN MEDICINE, 2022, 87 (06) : 2685 - 2696
  • [29] AZIMUTH MULTICHANNEL SAR IMAGING BASED ON COMPRESSED SENSING
    Wang, Ming Jiang
    Yu, Wei Dong
    Wang, Robert
    PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2013, 141 : 497 - 516
  • [30] MTF behavior of compressed sensing MR spectroscopic imaging
    Heikal, A. A.
    Wachowicz, K.
    Fallone, B. G.
    MEDICAL PHYSICS, 2013, 40 (05)
12345