电讯技术2023，Vol.63Issue(12)：1972-1977,6.DOI:10.20079/j.issn.1001-893x.220606003
基于自相关和时频分析的跳频参数估计
Frequency Hopping Parameter Estimation Based on Autocorrelation and Time-Frequency Analysis
张玮 1王平 2解西坤3
作者信息
- 1. 海军工程大学 电子工程学院,武汉 430033||中国人民解放军 92038 部队,山东 青岛 266041
- 2. 海军工程大学 电子工程学院,武汉 430033
- 3. 海军工程大学 电子工程学院,武汉 430033||中国人民解放军 91202 部队,辽宁 葫芦岛 125000
- 折叠
摘要
Abstract
In order to obtain high-definition time-frequency map and high-precision parameter estimation of frequency hopping(FH)signals,an FH signal parameter estimation method based on autocorrelation and time-frequency analysis method is proposed.Firstly,the segmented autocorrelation algorithm based on energy detection is used to preprocess the receiving signal,and then the time-frequency transformation is carried out to obtain the time-frequency matrix of the signal.The signals are extracted by binarization and morphological filtering,and the parameters are estimated by clustering algorithm.Simulation results show that under the condition of low signal-to-noise ratio(SNR),this method can obtain high-definition time-frequency images and high-precision parameter estimates.When the lowest SNR is-11 dB,the order of magnitude of the estimation error is 10-7.Meanwhile,the autocorrelation operation can improve the anti-noise performance of the parameter estimation algorithm obviously.关键词
跳频信号/参数估计/时频分析/自相关运算Key words
frequency hopping signal/parameter estimation/time-frequency analysis/autocorrelation operation分类
信息技术与安全科学引用本文复制引用
张玮,王平,解西坤..基于自相关和时频分析的跳频参数估计[J].电讯技术,2023,63(12):1972-1977,6.
