一种基于稀疏快速傅里叶变换的卫星信号捕获算法

发布时间：2018-07-03 08:20

本文选题：GPS + 稀疏快速傅里叶变换　；参考：《广西大学学报(自然科学版)》2017年05期

【摘要】：卫星信号搜索捕获时间长短是影响GPS软件接收机的重要因素。为了更快速、准确地完成卫星信号的捕获,文中提出了一种基于稀疏快速傅里叶变换的并行捕获算法。该算法采用取模运算、余数不同的采样思想,首先对中频信号和本地码进行一次下采样来获得中频信号和本地码的一个子集,其次对多普勒频移量进行一次下采样来获得多普勒频移量的一个子集;然后在子集中进行卫星信号的并行捕获。研究结果表明,与GPS卫星信号的并行捕获算法相比,该算法有效地减少了运算量,提高了捕获性能。最后通过实验验证了该算法的正确性。
[Abstract]:The time of satellite signal search and acquisition is an important factor affecting GPS software receiver. In order to accomplish the acquisition of satellite signals more quickly and accurately, a parallel acquisition algorithm based on sparse fast Fourier transform is proposed in this paper. In this algorithm, the modular operation and the different remainder are used to sample the if signal and the local code at one time to obtain a subset of the if signal and the local code. Secondly, the Doppler shift is downsampled once to obtain a subset of the Doppler shift, and then the satellite signal is captured in the subset in parallel. The research results show that compared with the parallel acquisition algorithm of GPS satellite signal, the algorithm can effectively reduce the computation cost and improve the acquisition performance. Finally, the correctness of the algorithm is verified by experiments.
【作者单位】：广东工业大学自动化学院广东省物联网信息技术重点实验室;
【基金】：国家自然科学基金优秀青年基金项目(61322306);国家自然科学基金青年基金项目(61304140)
【分类号】：P228.4;TN911.7

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