摘要
在对传统的卫星信号捕获算法分析的基础上,提出了一种惯性导航系统(INS)辅助的基于部分匹配滤波器和快速傅里叶变换(FFT)相结合的捕获算法。在此算法中,利用惯性导航设备提供的信息计算多普勒频率,通过部分匹配滤波器和FFT相结合的算法并行搜索载波频率和码相位。该算法不仅能缩小多普勒频率的搜索范围,而且能够快速搜索码相位。仿真结果表明,此算法能够在高动态环境下成功捕获COMPASS卫星信号,并且明显减少捕获时间。
Based on the analysis of traditional signal acquisition methods,this paper proposed a fast COMPASS signal acquisition method which combing INS( inertial navigation system) information and PMFB( partial matched filter bank)-FFT( fast Fourier transformation). This method calculated carrier Doppler frequency by inserting the INS velocity information,and then used PMFB-FFT algorithm to search the C / A code phase and carrier frequency in parallel. The proposed method can not only reduce the search range of the carrier Doppler frequency,but also speed up the search of C / A code phase. Simulation results indicate that this method can capture COMPASS signal successfully and reduce acquisition time obviously in high dynamic environment.
出处
《计算机应用研究》
CSCD
北大核心
2015年第5期1454-1457,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(60773013
60173041)