Research on Target Detection and Recognition Based on Micro Doppler

被引:0
作者
Zheng, Yu [1 ,2 ]
机构
[1] Anhui JianZhu Univ, Sch Mech, Hefei 230601, Anhui, Peoples R China
[2] Anhui JianZhu Univ, Elect Engn Coll, Hefei 230601, Anhui, Peoples R China
来源
AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 01期
关键词
Micro Doppler; target detection and recognition; radar technology; simulation analysis; RADAR; SIGNATURES; CLASSIFICATION; MOTIONS;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Target detection and recognition is an important part of the modern military field, and its accuracy has great influence on the military radar operational capability of our country. Although the current enemy target detection and recognition ability of the sky, the land and the sea has been greatly improved, how to carry out accurate target recognition is still an important subject in the field of military. Therefore, the target detection and recognition based on micro Doppler technology was studied. Its application field and theoretical principle as well as the simulation analysis of micro Doppler application were described. Combining the micro Doppler technology with the radar target recognition, the actual detection and data analysis of radar detection of civil aviation aircraft echo were made. However, in the aspect of the parameter estimation of multi micro target and micro target, micro Doppler compensation in target imaging and the establishment of improved target recognition system should be further strengthened.
引用
收藏
页码:768 / 772
页数:5
相关论文
共 15 条
  • [1] Cai C, 2010, IEEE T AERO ELEC SYS, V2, P929
  • [2] Developments in target micro-Doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar
    Clemente, Carmine
    Balleri, Alessio
    Woodbridge, Karl
    Soraghan, John J.
    [J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2013,
  • [3] Vibrating Target Micro-Doppler Signature in Bistatic SAR With a Fixed Receiver
    Clemente, Carmine
    Soraghan, John J.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (08): : 3219 - 3227
  • [4] Classification of human motions using empirical mode decomposition of human micro-Doppler signatures
    Fairchild, Dustin P.
    Narayanan, Ram M.
    [J]. IET RADAR SONAR AND NAVIGATION, 2014, 8 (05) : 425 - 434
  • [5] Micro-Doppler Signature Extraction from Ballistic Target with Micro-Motions
    Gao, Hongwei
    Xie, Lianggui
    Wen, Shuliang
    Kuang, Yong
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2010, 46 (04) : 1969 - 1982
  • [6] Micro-Doppler Signature Feature Analysis in Terahertz Band
    Li, Jin
    Pi, Yiming
    Yang, Xiaobo
    [J]. JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES, 2010, 31 (03) : 319 - 328
  • [7] Micro-Doppler Signature Extraction and ISAR Imaging for Target With Micromotion Dynamics
    Li, Kai-ming
    Liang, Xian-jiao
    Zhang, Qun
    Luo, Ying
    Li, Hong-jing
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2011, 8 (03) : 411 - 415
  • [8] JOINT TIME-FREQUENCY ANALYSIS OF RADAR MICRO-DOPPLER SIGNATURES FROM AIRCRAFT ENGINE MODELS
    Lim, H.
    Park, J. H.
    Yoo, J. H.
    Kim, C. H.
    Kwon, K. I.
    Myung, N. H.
    [J]. JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2011, 25 (8-9) : 1069 - 1080
  • [9] Ballistic missile detection via micro-Doppler frequency estimation from radar return
    Liu, Lihua
    McLernon, Des
    Ghogho, Mounir
    Hu, Weidong
    Huang, Jian
    [J]. DIGITAL SIGNAL PROCESSING, 2012, 22 (01) : 87 - 95
  • [10] Estimation of micro-motion parameters based on micro-Doppler
    Liu, Y. -X.
    Li, X.
    Zhuang, Z. -W.
    [J]. IET SIGNAL PROCESSING, 2010, 4 (03) : 213 - 217