GNSS子码捕获技术与BOC无模糊跟踪方法研究

发布时间：2018-03-29 11:00

本文选题：全球导航卫星系统　切入点：子码　出处：《华中科技大学》2014年硕士论文

【摘要】：随着GNSS现代化进程的逐步深入，GNSS信号体制发生了显著变化，如新的频点、新的调制方式（BOC调制及其衍生调制方式）、引入信道编码技术、引入子码、增加导频通道等。新型信号体制在带来系统性能提升的同时，对信号接收处理技术提出了更高的要求。新型信号体制的接收处理技术成为近年来研究领域关注的重点和热点。本文主要针对子码捕获技术和BOC信号无模糊跟踪方法进行深入分析和研究。比特翻转会使互模糊函数出现类似BOC调制的谱分离效果，导致信号捕获性能下降，甚至出现捕获错误。现有的两大类子码捕获技术很难兼顾算法复杂度和捕获性能。本文提出一种基于DBZP的新的子码捕获算法，该算法通过在DBZP算法基础上加上合适的子码搜索机制实现。与现有的具有代表性的子码捕获算法相比，新算法在不明显降低捕获性能的情况下显著减小了运算量。通过仿真验证了算法可用性及其性能，最后指出该算法适用的应用场景。 BOC调制的多峰自相关特性会带来跟踪的模糊问题，，本文从跟踪模糊产生机理出发，详细介绍了三种具有代表性的无模糊跟踪算法：Bump-Jump法、ASPeCT法和Dual Estimator法。从跟踪精度、抗多径性能和硬件资源消耗三个方面综合对比分析了三种算法的跟踪性能，同时也仿真分析了三种算法在不同参数设置情况下的性能。综合分析表明，Dual Estimator法是目前最有前景的BOC信号无模糊跟踪方法。
[Abstract]:With the development of GNSS modernization, significant changes have taken place in the GNSS signal system, such as new frequency points, new modulation methods, channel coding techniques and subcodes. Adding pilot channels and so on. The new signal system not only improves the performance of the system, but also improves the performance of the system. The new signal receiving and processing technology has become the focus and hotspot in the research field in recent years. This paper mainly focuses on subcode acquisition technology and BOC signal without fuzzy tracking. Methods further analysis and study were carried out. Bit flipping will result in spectral separation effect similar to BOC modulation in the mutual ambiguity function, which will lead to the degradation of signal capture performance. It is very difficult for two kinds of subcode acquisition techniques to take into account the complexity and performance of the algorithm. A new subcode acquisition algorithm based on DBZP is proposed in this paper. The algorithm is implemented by adding appropriate subcode search mechanism on the basis of DBZP algorithm. The new algorithm can significantly reduce the computational complexity without significantly reducing the capture performance. The availability and performance of the algorithm are verified by simulation. Finally, the application scenarios of the algorithm are pointed out. The characteristic of multi-peak autocorrelation of BOC modulation will bring the fuzzy problem of tracking. Based on the mechanism of fuzzy tracking, this paper introduces in detail three typical non-fuzzy tracking algorithms, namely: Bump-Jump method, ASPeCT method and Dual Estimator method. The tracking performance of the three algorithms is compared and analyzed in the aspects of anti-multipath performance and hardware resource consumption. At the same time, the performance of the three algorithms under different parameters is simulated and analyzed. The comprehensive analysis shows that dual Estimator method is the most promising BOC signal tracking method.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN96.1

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