Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 28Issue 4
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2019> 28(4): 783-789
Jining Feng, Xiaobo Yang, Jun Wang. Novel LFM Jammer Suppression Algorithm for DSSS in FRFT Domain[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2019, 28(4): 783-789. doi: 10.15918/j.jbit1004-0579.18088
Citation: Jining Feng, Xiaobo Yang, Jun Wang. Novel LFM Jammer Suppression Algorithm for DSSS in FRFT Domain[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2019, 28(4): 783-789.doi:10.15918/j.jbit1004-0579.18088
shu

Novel LFM Jammer Suppression Algorithm for DSSS in FRFT Domain

doi:10.15918/j.jbit1004-0579.18088
  • 1.

    School of Technology, Hebei Normal University, Shijiazhuang 050031, China

  • 2.

    Department of Electronic Engineering, Shijiazhuang Vocational and Technical College, Shijiazhuang 050081, China

  • 3.

    School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  • Received Date:2018-05-02
    Abstract
  • A novel algorithm is proposed to resolve the defects in the traditional linear frequency modulation (LFM) jamming suppression algorithm in the fractional Fourier transform (FRFT) domain. The traditional LFM jamming suppression algorithm in the FRFT domain has some defects. For example, the exact threshold is difficult to set and both the signal-to-noise ratio (SNR) loss and spectrum leakage are serious in strong jamming-to-signal ratio (JSR) situations. Windowing, overlapping and inverse windowing techniques are used in the FRFT domain to reduce the spectrum leakage and the SNR loss. Under the condition that only the direct sequence spread spectrum (DSSS) signal and white Gaussian noise are present, the amplitude of the received signal after FRFT is assumed to be Rayleigh distributed. Based on the distribution characteristic, hypothesis testing is used to suppress the jamming spectrum using the algorithm. Simulation results show that the performance of proposed algorithm is better than that of the conventional algorithms, especially in a strong jamming and multi component LFM jamming environment.
    • FullText(HTML)
  • loading
    • References (14)
  • [1]
    Zhao Liang, Amin M G, Lindsey A R. Subspace projection techniques for anti-FM jamming GPS receivers[C]//Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing,Pocono Manor, PA, USA, 2000:529-533.
    [2]
    Feng Jining, Diao Zhejun, Yang Xiaobo, et al. LFM jammer suppression in FRFT domain based on hypothesis testing[J]. Acta Armamentarii, 2012, 33(1):6-12. (in Chinese)
    [3]
    Zhou Zhu, Lu Shujun, Zhang Eryang, et al. LFM jammer mitigation in GPS received signal[J].Journal of National University of Defense Technology, 2013, 35(1):70-76. (in Chinese)
    [4]
    Zhang Yongshun, Jia Xin, Zhu Weigang. Suppression of LFM interference in direct sequence spread spectrum communications based on compressive sensing[C]//IEEE International Conference on Signal Processing, Ningbo, China, 2015:1-5.
    [5]
    Zhang Yuheng, Zhang Yong. LFM jammer suppression using K-bins algorithm in fractional fourier domain[J]. Journal of System Simulation, 2009, 21(15):4794-4800. (in Chinese)
    [6]
    Huang kewu, Tao ran, Wu kui, et al. Study on jammer suppression based on joint fractional Fourier domain and time domain[J]. Science China (Technological Sciences), 2011, 41(10):1393-1404. (in Chinese)
    [7]
    Sun Le, Zhang Hengyang, Wei Jun, et al. Optimal order selection algorithm for FRFT TDCS with multi component LFM interference signal[J]. Application Research of Computers, 2017,34(10):3121-3148. (in Chinese)
    [8]
    Huang Xiang,Tang Shiyang Zhang Linrang, et al. A fast algorithm of LFM signal detection and parameter estimation based on efficient FrFT[J]. Journal of Electronics & Information Technology,2017,39(12):2905-2911. (in Chinese)
    [9]
    Cui Yue, Wang Junfeng. Wideband LFM interference suppression based on fractional fourier transform and projection techniques[J]. Circuits Systems & Signal Processing, 2014, 33(2):613-627.
    [10]
    Qi Lin, Tao Ran, Zhou Siyong, et al. Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform[J].Science in China (Ser. F, Information Science), 2004, 47(2):184-198.
    [11]
    Zhao Yanbo,Yu Hua,Wei Gang,et al. Parameter estimation of wideband underwater acoustic multipath channels based on fractional fourier transform[J]. IEEE Transactions on Signal Processing, 2016, 64(20):5396-5408.
    [12]
    Fan Huiling, Zhou Xu, Cheng Shuiying, et al.The parameters estimation of LFM pulse signal based on FRFT[C]//International Conference on Mechanical Engineering & Control system, Wuhan, China, 2017:249-257.
    [13]
    Capozza P T, Holland B J, Hopkinson T M, et al. A single-chip narrow-band frequency-domain excisor for a global positioning system (GPS) receiver[J]. IEEE Journal of Solid-state Circuits, 2000, 35(3):401-411.
    [14]
    Pei Soochang, Ding Jianjiun. Closed-form discrete fractional and affine Fourier transforms[J]. IEEE Trans Signal Proc, 2000, 48(5):1388-1353.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (398) PDF downloads(205) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

      Return
      Return
        Baidu
        map