Bispectrum and subsection dechirp for the LFM signal parameter estimation

被引:0
|
作者
Coll. of Electronics and Information Engineering, Sichuan Univ., Chengdu 610065, China [1 ]
不详 [2 ]
机构
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
To estimate the parameters of linear frequency modulation (LFM) signals with low signal-to-noise ratio (SNR), an improved method is proposed. Firstly, the position of LFM signal spectrum is estimated using bispectrum slice, then the signal is filtered out by means of a band-pass filter, finally subsection dechirp is made for parameter estimation. By combining successive elimination technique with above method, weak LFM signals can be detected among some strong LFM signals and their parameters are estimated. Compared with conventional method, this method can suppress the effects of noise and cross-reference based on the characters of higher-order cumulants. Simulation results show its effectiveness.
引用
下载
收藏
相关论文
共 50 条
  • [21] Fast parameter estimation approach of reconnaissance signal combined PRBC and LFM
    Zeng D.-G.
    Xiong H.
    Long K.-Y.
    Tang B.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2010, 32 (05): : 891 - 894
  • [22] Multicomponent LFM signal detection and parameter estimation method based on FRFT
    Song Y.
    Huang Y.
    Zhang H.
    Qin Z.
    Gao W.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2020, 46 (06): : 1221 - 1228
  • [23] A New Method for Parameter Estimation of Multicomponent LFM Signal based on Sparse Signal Representation
    Zhu, Sha
    Wang, Hongqiang
    Li, Xiang
    2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4, 2008, : 15 - 19
  • [24] Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform
    QI Lin1
    2. School of Information Engineering
    Science China(Information Sciences), 2004, (02) : 184 - 198
  • [25] A Novel Fractional Domain LFM Signal Parameter Estimation Method and its Application
    Guo, Yong
    Zhang, Xiao-Wei
    Yang, Li-Dong
    IAENG International Journal of Computer Science, 2022, 49 (03)
  • [26] Detection and parameter estimation of multicomponent LFM signal based on the fractional fourier transform
    Lin Qi
    Ran Tao
    Siyong Zhou
    Yue Wang
    Science in China Series F: Information Sciences, 2004, 47 : 184 - 198
  • [27] An Adaptive Multi-component LFM Signal Parameter Estimation Based on STFRFT
    Dai, Yu
    Wang, Xuan
    Long, Wenjia
    Ma, Junyu
    ADVANCES IN WIRELESS COMMUNICATIONS AND APPLICATIONS, ICWCA 2021, 2023, 299 : 201 - 209
  • [28] Detection and parameter estimation of multicomponent LFM signal based on the cubic phase function
    Wang, Yong
    Jiang, Yi-Cheng
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2008, 2008 (1)
  • [29] Time-domain approach for LFM signal parameter estimation based on FPGA
    Zhang, Peng
    Wang, Ping
    Cheng, Julian
    ELECTRONICS LETTERS, 2018, 54 (13) : 846 - +
  • [30] Iterative Interpolation for Parameter Estimation of LFM Signal Based on Fractional Fourier Transform
    Jun Song
    Yixiong Wang
    Yunfei Liu
    Circuits, Systems, and Signal Processing, 2013, 32 : 1489 - 1499