The pattern recognition of radar signal by self-adapted wavelet

被引:0
|
作者
Li, Chungeng [1 ]
Zhang, Cuifen [1 ]
机构
[1] Dalian Maritime Univ, Coll Comp Sci & Technol, Dalian 116026, Liaoning, Peoples R China
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Radar signal is unbalanced and Usually mixed by noises. Wavelet transform is a Power tool for analyzing unbalanced signal and multiresolution is the normal way. Also the choice of the wavelet bases is important. A new method for band limited wavelet construction is developed in the radar signal processing, which automatically locks on the frequency band that energy is concentrated. By the algorithm, an optimal scale function is calculated according to the power spectrum of the learning radar signal, the corresponding wavelet can be calculated by two scale relation. With the scale and wavelet filter, the processing result will be the recognized pattern which is similar with, the learning radar, signal. The experimental results demonstrate the method is effective. Radar signal can be processed in real time.
引用
收藏
页码:1199 / 1203
页数:5
相关论文
共 50 条
  • [41] Self-Adapted Utterance Selection for Suicidal Ideation Detection in Lifeline Conversations
    Wang, Zhong-Ling
    Huang, Po-Hsien
    Hsu, Wen-Yau
    Huang, Hen-Hsen
    17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023, 2023, : 1436 - 1446
  • [42] Designing a balanced, self-adapted hybrid peer-to-peer network
    Yin, Wei
    Cao, Shusheng
    Chen, Gang
    IC-BNMT 2007: Proceedings of 2007 International Conference on Broadband Network & Multimedia Technology, 2007, : 340 - 346
  • [43] Decreased exercise capacity in young athletes using self-adapted mouthguards
    Johannes Lässing
    Roberto Falz
    Antina Schulze
    Christoph Pökel
    Maximilian Vondran
    Thomas Schröter
    Michael A. Borger
    Martin Busse
    European Journal of Applied Physiology, 2021, 121 : 1881 - 1888
  • [44] An optimization algorithm for particle swarm with self-adapted inertia weighting adjustment
    Wu, Zhuang
    International Review on Computers and Software, 2012, 7 (03) : 1320 - 1326
  • [45] Total Differential Photometric Mesh Refinement with Self-Adapted Mesh Denoising
    Qu, Yingjie
    Yan, Qingsong
    Yang, Junxing
    Xiao, Teng
    Deng, Fei
    PHOTONICS, 2023, 10 (01)
  • [46] Radar signal identification using a neural network and pattern recognition methods
    Matuszewski, Jan
    2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET), 2018, : 79 - 83
  • [47] A SELF-ADAPTED SWARM ARCHITECTURE TO HANDLE BIG DATA FOR "FACTORIES OF THE FUTURE"
    Guerreiro, Guilherme
    Costa, Ruben
    Figueiras, Paulo
    Graca, Diogo
    Jardim-Goncalves, Ricardo
    IFAC PAPERSONLINE, 2019, 52 (13): : 916 - 921
  • [48] QSACO: A QoS-based Self-adapted Ant Colony Optimization
    Sun, Weifeng
    Xing, Yuanxun
    Zhou, Chi
    Zhang, Shenwei
    2017 5TH IEEE INTERNATIONAL CONFERENCE ON MOBILE CLOUD COMPUTING, SERVICES, AND ENGINEERING (MOBILECLOUD), 2017, : 157 - 160
  • [49] Self-adapted Layer Contrast Enhancement Algorithm Based on Medical Image
    He Yi
    Zhang Ying-qian
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 3416 - 3419
  • [50] Decreased exercise capacity in young athletes using self-adapted mouthguards
    Lassing, Johannes
    Falz, Roberto
    Schulze, Antina
    Pokel, Christoph
    Vondran, Maximilian
    Schroter, Thomas
    Borger, Michael A.
    Busse, Martin
    EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, 2021, 121 (07) : 1881 - 1888