GNSS World of China

Volume 44 Issue 5
Oct.  2019
Turn off MathJax
Article Contents
DING Jicheng, WANG Yifang, LUO Zhibin. Research on narrow-band interference suppression in BDS signal for reducing useful signal loss[J]. GNSS World of China, 2019, 44(5): 10-17. doi: DOI:10.13442/j.gnss.1008-9268.2019.05.002
Citation: DING Jicheng, WANG Yifang, LUO Zhibin. Research on narrow-band interference suppression in BDS signal for reducing useful signal loss[J]. GNSS World of China, 2019, 44(5): 10-17. doi: DOI:10.13442/j.gnss.1008-9268.2019.05.002

Research on narrow-band interference suppression in BDS signal for reducing useful signal loss

doi: DOI:10.13442/j.gnss.1008-9268.2019.05.002
  • Publish Date: 2019-10-15
  • The key to narrow-band interference suppression is to suppress the interference while minimizing the loss of useful signals. Based on the time-frequency domain combined interference suppression method, and the completion of frequency domain interference parameter detection, this paper focuses on the key part of the interference suppression effect and useful signal loss-the design of the IIR notch filter. Based on the principle of zero-pole configuration, through theoretical research and detailed derivation analysis, it is proposed that by adding a pair of zero-poles and combining theoretical calculation to determine the polar angle and radius, the notch filter can obtain steeper band-stop characteristics on the premise of controllable pass-band gain and symmetrical transition band, which can theoretically reduce its usefulness. Compared with the current mainstream time-domain LMS algorithm, FFT-based frequency-domain-suppression algorithm and traditional time-frequency domain combination algorithm, simulation results show that the proposed method increases the peak-to-noise ratio by 53.47%, 8.369% and 5.907%, and the average output carrier-to-noise ratio by 5.147 2 dB and 2.003 7, and 0.508 6 dB respectively. More navigation signals are retained while effectively suppressing interference.

     

  • loading
  • [1]
    BORIO D, DOVIS F, KUUSNIEMI H, et al. Impact and detection of GNSS jammers on consumer grade satellite navigation receivers[J]. Proceedings of the IEEE, 2016, 104(6):1233-1245. DOI:10.1109/JPROC.2016.2543266.
    [2]
    王雯婷,葛海波,王艳艳.变步长LMS算法抑制窄带干扰技术研究[J].电子技术应用, 2015,41(2):89-92,96.
    [3]
    LI Y G. Suppression of narrowband interference[JP] based on wavelet packet transform in direct sequence spread spectrum systems[C]//2010 3rd International Conference on Advanced Computer Theory and [JP2]Engineering.DOI: 10.1109/ICACTE.2010.5579866.
    [4]
    CUI J H, CHENG N P, HE P F. Adaptive anti jamming algorithm for GNSS software receiver[C]// 2016 Information Technology, Networking, Electronic and Automation Control Conference. DOI: 10.1109/ITNEC.2016.7560505.
    [5]
    张鑫. GPS接收机自适应干扰抑制关键技术研究[D].石家庄:河北师范大学, 2017.
    [6]
    王桁,吕智勇,杨龙.DSSS卫星通信中基于小波包变换的干扰抑制方法[J]. 系统工程与电子技术, 2016,38(6):1417-1422.
    [7]
    龚文飞,吴嗣亮,李加琪. 直扩系统中IIR格型滤波器抑制窄带干扰新方法与性能分析[J].电子与信息学报,2010,32(10):2473-2478.
    [8]
    杨凯, 邹耘, 尹路明. 重叠加窗FFT频域抗干扰算法设计[J].测绘科学技术学报,2013,30(3): 228-231.
    [9]
    罗鹏飞,张文明,刘福声.随机信号分析[M].长沙:国防科技大学, 2000:155-158.
    [10]
    张爱民,王星全,张德兴,等.卫星直扩通信系统干扰检测技术研究[J].现代电子技术,2011,34 (17):7-9,14.
    [11]
    张春海, 薛丽君, 张尔扬. 基于自适应多门限算法的变换域窄带干扰抑制[J]. 电子与信息学报, 2006, 28(3):461-465.
    [12]
    冯华君, 洪淑月, 施晓钟.借助Z变换和零极点设计数字陷波器[J].浙江师范大学学报(自然科学版),2004,27(1):26-29.
    [13]
    YIMMAN S, HINJIT W, SRIBOONSONG S, et al. IIR notch filter design with modified polezero placement algorithm [C]//Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology. DOI: 10.1109/ISSPIT.2003.1341247.
    [14]
    SRISANGNGAM P, MONGKUDVISUT P, YIMMAN [JP]S, et al. Symmetric IIR notch filter design using pole position displacement [C]//2008  International Symposium on Intelligent Signal Processing and Communications Systems. DOI: 10.1109/ISPACS.2009.4806756.
    [15]
    赵月露.导航接收机抗窄带干扰技术研究与实现[D].西安:西安电子科技大学,2015.
  • 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

    Article Metrics

    Article views (432) PDF downloads(96) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return