|
|
Parameter estimation method for a linear frequency modulation signal with a Duffing oscillator based on frequency periodicity |
Ningzhe Zhang(张宁哲), Xiaopeng Yan(闫晓鹏)†, Minghui Lv(吕明慧), Xiumei Chen(陈秀梅), and Dingkun Huang(黄鼎琨) |
Science and Technology on Electromechanical Dynamic Control Laboratory, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China |
|
|
Abstract In view of the complexity of existing linear frequency modulation (LFM) signal parameter estimation methods and the poor antinoise performance and estimation accuracy under a low signal-to-noise ratio (SNR), a parameter estimation method for LFM signals with a Duffing oscillator based on frequency periodicity is proposed in this paper. This method utilizes the characteristic that the output signal of the Duffing oscillator excited by the LFM signal changes periodically with frequency, and the modulation period of the LFM signal is estimated by autocorrelation processing of the output signal of the Duffing oscillator. On this basis, the corresponding relationship between the reference frequency of the frequency-aligned Duffing oscillator and the frequency range of the LFM signal is analyzed by the periodic power spectrum method, and the frequency information of the LFM signal is determined. Simulation results show that this method can achieve high-accuracy parameter estimation for LFM signals at an SNR of -25 dB.
|
Received: 02 August 2022
Revised: 14 October 2022
Accepted manuscript online: 11 November 2022
|
PACS:
|
07.50.Qx
|
(Signal processing electronics)
|
|
05.45.-a
|
(Nonlinear dynamics and chaos)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant No.61973037). |
Corresponding Authors:
Xiaopeng Yan
E-mail: yanxiaopeng@bit.edu.cn
|
Cite this article:
Ningzhe Zhang(张宁哲), Xiaopeng Yan(闫晓鹏), Minghui Lv(吕明慧), Xiumei Chen(陈秀梅), and Dingkun Huang(黄鼎琨) Parameter estimation method for a linear frequency modulation signal with a Duffing oscillator based on frequency periodicity 2023 Chin. Phys. B 32 080701
|
[1] Wang C H, Shao W J and Ju Y 2020 Shipboard Electron. Count. 43 76 [2] Boashash B and Ouelha S 2018 Digit. Signal Prog. 77 120 [3] Diao M, Zhu Y F, Ning X Y and Wang Z D 2022 J. Harbin Insti. Technol. 54 88 [4] Jing F L, Zhang C J, Si W J, Wang Y and Jiao S H 2019 J. Xidian Uni. 46 102 [5] O'Shea P 2002 IEEE Signal Process. Lett. 9 251 [6] O'Shea P 2004 IEEE Signal Process. Lett. 52 385 [7] Wang P and Yang J Y 2006 Digit. Signal Prog. 16 654 [8] Wang P, Li H B, Djurović I and Himed B 2010 IEEE Trans. Aerospace Electron. Syst. 46 963 [9] Li D, Zhan M Y, Su J, Liu H Q, Zhang X P and Liao G S 2017 IEEE Trans. Geos. Remote Sens. 55 6402 [10] Zheng J B, Liu H W and Liu Q H 2017 IEEE Trans. Signal Process. 65 6435 [11] Almeida L B 1994 IEEE Trans. Signal Process. 42 3084 [12] Qi L, Tao R, Zhou S Y and Wang Y 2003 Sci. Chin. Ser. E 33 749 [13] Huang X, Tang S Y, Zhang L R and Gu Y B 2017 J. Electron. Inf. Technol. 39 2905 [14] Liu L M, LI H X, LI Q, Han Z Z and Gao Z B 2021 J. Electron. Inf. Technol. 43 2798 [15] Liu X L, Han J, Wang C Y and Xiao B 2019 Optik 182 529 [16] Guo Y, Zhang X W and Yang L D 2021 Optik 239 166681 [17] Wang K, Yan X P, Zhu Z Q, Hao X H, Li P and Yang Y 2020 Sensors 20 6412 [18] Wang G Y, Chen D J, Lin J Y and Chen X 1999 IEEE Trans. Ind. Electron. 46 440 [19] Aledealat K, Khasawinah K, Obeidat A, Gharaibeh M, Jaradat A, Hasan M K Qaseer and Rousan A A 2018 AIP Adv. 8 095102 [20] Zhu Z Q, Hou J, Yan X P, Li P and Hao X H 2019 J. Beijing Uni. Aero. Astro. 45 2069 [21] Liu B and Liu J M 2001 J. Electron. Meas. Instrum. 15 41 [22] Zhang Q J, Han X L and Liu J 2017 Spacecraft Eng. 26 1 [23] Springer A, Pohl A, Gugler W, Huemer M, Reindl L, Ruppel C C W, Seifert F and Weigel R 1998 IEEE MTT-S International Microwave Symposium Digest, June 07-12, 1998, Baltimore, MD, USA [24] Gao F, Yin H S and Zhang C X 2011 Appl. Electron. Tech. 37 95 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|