Parameter estimation of LFM signals based on NAT functions in impulsive noise

被引:0
|
作者
Jin Y. [1 ]
Zhao D. [1 ]
Ji H. [1 ]
机构
[1] School of Electronic Engineering, Xidian University, Xi'an
关键词
Impulsive noise; Linear frequency modulation (LFM) signal; Nonlinear amplitude transformation; Parameter estimation;
D O I
10.12305/j.issn.1001-506X.2022.03.07
中图分类号
学科分类号
摘要
To address the problem of performance degradation or even failure of traditional linear frequency modulation signal (LFM) parameter estimation methods under impulsive noise, this paper constructs two new nonlinear amplitude transformation (NAT) functions, namely the attenuation-NAT(A-NAT) function and the increasing bounded-NAT(IB-NAT) function. The derivation proves that the second-order moments of the large amplitude pulse samples are bounded by A-NAT or IB-NAT. Moreover, only the amplitude of the LFM signal changes after the proposed transformation, and the phase information remains unchanged. Perform Lv's distribution (LVD) analysis on the noisy signal after NAT transformation, and the parameter estimates of the LFM signal could be obtained based on the peak coordinates. Experimental results show that the proposed methods are robust, and they do not need the prior information of the impulsive noise, and can still accurately extract the signal parameter information even under strong impulse noise conditions. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码:762 / 770
页数:8
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共 30 条
  • [1] BAI G, CHENG Y T, TANG W P, Et al., Chirp rate estimation for LFM signal by multiple DPT and weighted combination, IEEE Trans.on Signal Processing Letters, 26, 1, pp. 149-153, (2019)
  • [2] LIU B F, CHEN B X., Integration of MIMO radar and communication with OFDM-LFM signals, Journal of Electronics & Information Technology, 41, 4, pp. 801-808, (2019)
  • [3] PELEG S, PORAT B., Linear FM signal parameter estimation from discrete-time observations, IEEE Trans.on Aerospace & Electronic Systems, 27, 4, pp. 607-616, (1991)
  • [4] GUO Y X, WANG M G, LI Y Z., Joint modulation format identification and frequency offset estimation based on superimposed LFM signal and FrFT, IEEE Photonics Journal, 11, 5, pp. 1-12, (2019)
  • [5] LI Y, WU Q X, WU J F, Et al., Estimation of high-frequency vibration parameters for terahertz SAR imaging based on FrFT with combination of QML and RANSAC, IEEE Access, 9, pp. 5485-5496, (2021)
  • [6] LV X Q, BI G N, WAN C, Et al., Lv's distribution: principle, implementation, properties, and performance, IEEE Trans.on Signal Processing, 59, 8, pp. 3576-3591, (2011)
  • [7] LIU M Q, HAN Y T, CHEN Y F, Et al., Modulation parameter estimation of LFM interference for direct sequence spread spectrum communication system in alpha-stable noise, IEEE Systems Journal, 15, 1, pp. 881-892, (2021)
  • [8] CHEREDNICHENKO A, HUANG X, WANG Y Z, Et al., Channel estimation based on lorentzian adaptive algorithm in α-stable noise environment, Proc.of the 9th Asia-Pacific Conference on Antennas and Propagation, (2020)
  • [9] JIN Y, HAO L L, JI H B., Code rate estimation of PSK signal based on cyclic correlation entropy in impulsive noise, Control and Decision, 35, 3, pp. 735-739, (2020)
  • [10] JIN Y K, LIU J., Parameter estimation of frequency hopping signals based on the robust S-Transform algorithms in alpha stable noise environment, AEUE-International Journal of Electronics and Communications, 70, 5, pp. 611-616, (2016)