摘要
由于GNSS接收机可能应用于机载、弹载等高动态领域,为了提高在高动态环境下GNSS信号频率参数估计效率,提出了一种基于复信号相位角(以下简称复角)的低复杂度频率参数估计方法。该方法是基于单频信号复角频率估计思想,该思想可以利用少量信号点实现低动态高信噪比频率估计。首先为了去除比特翻转、多普勒对多普勒变化率估计影响,利用后相关信号做近邻差分处理,得到多维差分积累信号,根据此信号的复角估计多普勒变化率;然后基于差分信号计算比特符号;最后根据估计出的参数和后相关信号,计算信号复角并估计多普勒频率。实验通过与传统方法进行对比,说明提出方法可以以极低的复杂度得到与对比方法相同的频率参数检测概率。
Since GNSS receivers havebeen applied for high dynamic areas such as airborne and missile-borne.In order to improve the efficiency of GNSS signal frequency parameters estimation of a high dynamic environment,alow-complexity frequency parameters estimation method based on the phase angle of complex signal(PACS)is proposed.The idea is based on the PACS by using a small amount of data to achieve high-precision estimation of frequency.Firstly,to remove the influence of bit-flip and Doppler on Doppler rate estimation,the proposed method performs nearest-neighbordifferential processing onthe post-correlation signal.Then,based on the PACS of obtained multi-dimensional differential accumulation signal,Doppler rate can be estimated.Afterward,data bits can be calculated by differential signal.Finally,based on estimated parameters and PACS of post-correlation signal,Doppler frequency can be estimated.The simulation results have shown that compared with the conventional methods,the proposed method can obtain the same probability of detecting frequency parameters with low complexity.
作者
吴超
钱飞杰
吴亿
刘二小
WU Chao;QIAN Feijie;WU Yi;LIU Erxiao(School of Communication Engineering,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China;State Key Laboratory of Space Weather,Chinese Academy of Sciences,Beijing 100190,China)
出处
《杭州电子科技大学学报（自然科学版）》
2023年第6期36-41,72,共7页
Journal of Hangzhou Dianzi University：Natural Sciences
基金
国家自然科学基金资助项目(61901154)
杭州电子科技大学2023年研究生科研创新基金项目(CXJJ2023143)。
关键词
全球卫星导航系统
复信号相位角估计
多普勒变化率
多普勒频率
global navigation satellite systems
phase angle of complex signal estimation
Doppler rate
Doppler frequency
