Parameter Estimation of Linear Frequency Modulation Signal Based on Interpolated Short-time Fractional Fourier Transform and Variable Weight Least Square Fitting

被引：0
|
作者：
Cao W. [1 ]
Yao Z. [1 ]
Xia W. [2 ]
Yan S. [3 ]
机构：
[1] School of Electronic Engineering, Naval University of Engineering, Wuhan, 430033, Hubei
[2] Zhangzhou Base Preparation Office of National Ocean Technology Center, Xiamen, 361000, Fujian
[3] Unit 91388 of PLA, Zhanjiang, 524000, Guangdong
来源：
Binggong Xuebao/Acta Armamentarii | 2020年 / 41卷 / 01期
关键词：
Cramer-Rao lower bound; Linear frequency modulation signal; Parameter estimation; Rife interpolation; Short-time fractional Fourier transform; Variable weight least square fitting;
D O I：
10.3969/j.issn.1000-1093.2020.01.010
中图分类号：
学科分类号：
摘要：
A Rife interpolation short-time fractional Fourier transform (STFRFT) -variable weight least square fitting (VWSF) algorithm is proposed for solving the problem of low parameter estimation accuracy of linear frequency modulation (LFM) signal under low signal-to-noise ratio (SNR). STFRFT is used to improve the aggregation of LFM signals, and the estimation accuracy of instantaneous frequency of signal is improved by VWSF, thus estimating the instantaneous frequency, initial frequency and modulation frequency of LFM signal. The Cramer-Rao lower bound (CRLB) of the signal parameters estimation is derived, and the factors affecting the estimated parameter CRLB and the variation of CRLB with it are analyzed. The simulated results show that the Rife interpolation STFRFT-VWSF algorithm has better estimation accuracy of LFM signal parameters, the parameter estimation and CRLB theoretical analysis are rational, and the feasibility of the algorithm is proven through sea test. © 2020, Editorial Board of Acta Armamentarii. All right reserved.
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页码：86 / 94
页数：8
相关论文
共 15 条
  • [1] Kwok H.K., Jones D.L., Improved instantaneous frequency estimation using an adaptive short-time Fourier transform, Proceedings of Asilomar Conference on Signals, (2000)
  • [2] Wang J.J., Wang R., Li K., Et al., Performance research of LFM signal based on Rife algorithm, Shipboard Electronic Countermeasure, 41, 4, (2018)
  • [3] Duan Y., Research on LFM signal detection and parameter estimation method under low SNR, (2013)
  • [4] Wei Y., The detection and parameter estimation of the linear frequency modulated signals and nonlinear frequency modulated signal in low SNR, (2005)
  • [5] Tian L., Adaptive short-time fractional Fourier transform used in time-frequency analysis, Proceedings of the 7th International Conference on Computer Engineering and Networks, (2017)
  • [6] Huang X., Tang S.Y., Zhang L.R., Et al., A fast algorithm of LFM signal detection and parameter estimation based on efficient FRFT, Journal of Electronics and Information Technology, 39, 12, pp. 2905-2911, (2017)
  • [7] Xu Z., Zhang H., Cheng S.Y., Parameter estimation of unknown envelope multicomponent LFM signal, Acta Armamentarii, 37, 3, pp. 462-470, (2016)
  • [8] Tao R., Li Y.L., Wang Y., Short-time fractional Fourier transform and its applications, IEEE Transactions on Signal Processing, 58, 5, pp. 2568-2580, (2010)
  • [9] Wang R., Ma Y., DOA estimation of wideband linear frequency modulated pulse signals based on fractional Fourier transform, Acta Armamentarii, 35, 3, pp. 421-427, (2014)
  • [10] Tao R., Deng B., Wang Y., Fractional Fourier Transform and Its Applications, (2009)
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