太赫兹科学与电子信息学报2025，Vol.23Issue(2)：123-131,144,10.DOI:10.11805/TKYDA2023392
基于改进SVM的卫星导航信号捕获峰值检测方法
A peak detection method for satellite navigation signal acquisition based on improved SVM
摘要
Abstract
In response to the difficulties in setting the peak detection threshold for signal acquisition and the decrease in acquisition accuracy of satellite navigation receivers in dynamic scenarios or scenarios with weak navigation signal strength,a satellite navigation signal acquisition peak detection method based on improved Support Vector Machine(SVM)is proposed.This method first reduces the dimensionality of sample features through Principal Component Analysis(PCA),then classifies the acquisition correlation results of satellite navigation signals,and finally determines whether the navigation signal is successfully acquired by judging whether there is a peak in the correlation results.Simulation results show that,compared with existing traditional threshold setting methods,standard SVM methods,and logistic regression classification learning methods,the detection method proposed in this paper has the advantages of low false alarm rate and high true alarm rate,and the acquisition success rate is also better than existing methods.关键词
支持向量机/信号捕获/峰值检测/主成分分析(PCA)/全球导航卫星系统(GNSS)Key words
Support Vector Machine/signal acquisition/peak detection/Principal Component Analysis(PCA)/Global Navigation Satellite System(GNSS)分类
电子信息工程引用本文复制引用
刘兆博,辜晓波,邱泽扬,王名为..基于改进SVM的卫星导航信号捕获峰值检测方法[J].太赫兹科学与电子信息学报,2025,23(2):123-131,144,10.基金项目
国家自然科学基金资助项目(62101138) （62101138）
广东省自然科学基金资助项目(2022A1515012573) （2022A1515012573）
