Resolution enhancement for Doppler beam sharpening imaging

被引:15
|
作者
Chen, Hongmeng [1 ]
Li, Ming [1 ]
Zhang, Peng [1 ]
Liu, Gaofeng [1 ]
Jia, Lu [1 ]
Wu, Yan [2 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Shaanxi, Peoples R China
[2] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
来源
IET RADAR SONAR AND NAVIGATION | 2015年 / 9卷 / 07期
关键词
SPECTRAL ESTIMATION; RADAR; EXTRAPOLATION; APES;
D O I
10.1049/iet-rsn.2014.0384
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
The efficient scan moving target indication (MTI) mode is implemented in the wide-area ground MTI systems for the purpose of wide-area surveillance. However, because of the scanning movement of the radar antenna, it is difficult to acquire enough coherent pulses in a single azimuth direction in the Doppler beam sharpening (DBS), so the sharpening ratio is greatly limited. To mitigate this problem, a combined super-resolution algorithm with aperture extrapolation for DBS imaging is proposed to enhance the sharpening ratio in this study. In this algorithm, aperture extrapolation technique is utilised to increase the data length in azimuth direction and the amplitude and phase estimation of a sinusoid, which can acquire accurate spectral estimation with much lower side lobes and narrower spectral peaks, is applied to replace the fast Fourier transform to perform the Doppler analysis. In this way, the sharpening ratio in the new algorithm could be enhanced by one time. Experimental results on simulation data and real data verify the effectiveness of the new super-resolution algorithm, and demonstrate that the proposed algorithm can provide sharp and clear scene information with lower side lobes and narrower peaks.
引用
收藏
页码:843 / 851
页数:9
相关论文
共 50 条
  • [21] Vertical Digital Beamforming Versus Vertical Doppler Beam Sharpening
    Laribi, Amir
    Hahn, Markus
    Dickmann, Juergen
    Waldschmidt, Christian
    2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2017,
  • [22] An Analysis of Doppler Beam Sharpening Technique Used in Fighter Aircraft
    Onat, Emrah
    Ozkazanc, Yakup
    2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2018,
  • [23] Linear References Detection by Pulse Altimeter with Doppler Beam Sharpening
    Sorokin, A. K.
    Vazhenin, V. G.
    2015 IEEE 4TH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION (APCAP), 2015, : 556 - 557
  • [24] Doppler Beam Sharpening Using Estimated Doppler Centroid Based on Edge Detection and Fitting
    Mao, Deqing
    Zhang, Yongchao
    Zhang, Yin
    Huang, Yulin
    Yang, Jianyu
    IEEE ACCESS, 2019, 7 : 123604 - 123615
  • [25] Doppler Beam Sharpening in Passive Bistatic Radar with Spaceborne Illuminators of Opportunity
    Rowlatt, J. P.
    Hristov, S.
    Daniel, L.
    Gashinova, M. S.
    Stove, A. G.
    Cherniakov, M.
    2018 19TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2018,
  • [26] Doppler Beam Sharpening for Enhanced MIMO Imagery in the Presence of Automotive Interference
    Pirkani, Anum
    Cassidy, Scott
    Norouzian, Fatemeh
    Gashinova, Marina
    Cherniakov, Mikhail
    2021 18TH EUROPEAN RADAR CONFERENCE (EURAD), 2021, : 417 - 420
  • [27] Doppler Beam Sharpening for Angular Refinement at 150 GHz - Initial Experimentation
    Daniel, L.
    Cassidy, S.
    Phippen, D.
    Hoare, E.
    Stove, A.
    Cherniakov, M.
    Gashinova, M.
    2018 19TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2018,
  • [28] Implementation of Doppler Beam Sharpening Technique for Synthetic-Aperture Radars
    Morris, Peter Joseph Basil
    Dhonde, Kunj
    Priya, B. K.
    EMERGING RESEARCH IN ELECTRONICS, COMPUTER SCIENCE AND TECHNOLOGY, ICERECT 2018, 2019, 545 : 783 - 791
  • [29] A fast Doppler Beam Sharpening approach based on short time FFT
    Wang Chao
    Wang Yanfei
    Wang Qi
    Zhan Xueli
    Liu Chang
    GLOBAL INTELLIGENCE INDUSTRY CONFERENCE (GIIC 2018), 2018, 10835
  • [30] Super-resolution Doppler beam sharpening method using fast iterative adaptive approach-based spectral estimation
    Mao, Deqing
    Zhang, Yin
    Zhang, Yongchao
    Huang, Yulin
    Yang, Jianyu
    JOURNAL OF APPLIED REMOTE SENSING, 2018, 12 (01)