Parameter estimation method for a linear frequency modulation signal with a Duffing oscillator based on frequency periodicity

被引：1

作者：

Zhang, Ningzhe ^{[1
]}

Yan, Xiaopeng ^{[1
]}

Lv, Minghui ^{[1
]}

Chen, Xiumei ^{[1
]}

Huang, Dingkun ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Mechatron Engn, Sci & Technol Electromech Dynam Control Lab, Beijing 100081, Peoples R China

来源：

CHINESE PHYSICS B | 2023年 / 32卷 / 08期

基金：

中国国家自然科学基金;

关键词：

linear frequency modulation (LFM) signal; Duffing oscillator; frequency periodicity; parameter estimation; TIME-FREQUENCY; FAST ALGORITHM;

D O I：

10.1088/1674-1056/aca206

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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.

引用

页数：10

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