BOC信号无模糊捕获技术的研究与实现

发布时间：2018-05-26 12:41

本文选题：BOC调制 + 无模糊捕获　；参考：《北京理工大学》2015年硕士论文

【摘要】：随着导航技术的发展，导航信号的频带变得越来越拥挤。BOC(Binary OffsetCarrier)调制的提出合理有效地利用了频带资源。与传统的GPS信号相比，BOC信号采用二进制偏移载波调制，这使得频谱的能量由载频附近搬移到频带的两边。这样就有效地避免了多信号的频谱混叠，有效利用了频带资源。与BPSK调制相比，BOC信号的自相关函数的相关峰要尖锐的多。因此，BOC调制信号可以提高码环跟踪精度、增强抗干扰能力和具有更好的抗多径能力。与传统GPS信号相比，BOC信号自相关函数具有多峰值特性，导致捕获结果具有模糊性。这就使BOC信号的捕获比传统BPSK信号要复杂。因此选择BOC信号无模糊捕获技术来展开研究。本文重点针对BOC(n,n)信号和BOC(m,n)信号无模糊捕获技术展开研究。首先，阐述了课题的研究背景和意义，包括BOC信号无模糊捕获技术的发展趋势以及研究现状。随后，研究了BOC信号的特性，，包括信号产生、功率谱密度、自相关函数，分析了在导航应用领域中采用BOC调制技术的优缺点。其次，对BOC(n,n)信号介绍了常用的几种捕获算法，在此基础上提出了一种新的无模糊捕获算法。对BOC(m,n)信号介绍了常用捕获算法，分别在时域和频域给出了两种无模糊捕获算法。根据改进的算法用Matlab对其进行了仿真验证。最后，在前面理论分析和仿真的基础上，完成了基于滤波的BOC(m,n)信号无模糊捕获算法的FPGA实现，并对其进行了模块划分，描述了各个模块的功能，给出了Modelsim仿真图。
[Abstract]:With the development of navigation technology, the frequency band of navigation signal becomes more and more crowded. Compared with the traditional GPS signal, the BOC signal is modulated by binary offset carrier, which makes the energy of the spectrum move from the carrier frequency to the two sides of the frequency band. In this way, the multi-signal spectrum aliasing is avoided effectively and the frequency band resource is utilized effectively. Compared with BPSK modulation, the correlation peak of autocorrelation function is much sharper. Therefore, BOC modulation signal can improve the tracking accuracy of code loop, enhance the ability of anti-jamming and have better anti-multipath ability. Compared with the traditional GPS signal, the autocorrelation function of the GPS signal has the characteristics of multiple peaks, which leads to the ambiguity of the acquisition results. This makes the acquisition of BOC signal more complicated than traditional BPSK signal. Therefore, BOC signal acquisition without ambiguity technology is chosen to carry out the research. In this paper, we focus on the fuzzy free acquisition techniques for BOCU / n) signals and BOCU / M / n) signals. Firstly, the background and significance of the research are described, including the development trend and research status of BOC signal acquisition without ambiguity. Then, the characteristics of BOC signal are studied, including signal generation, power spectral density, autocorrelation function, and the advantages and disadvantages of using BOC modulation technology in navigation applications are analyzed. Secondly, several common acquisition algorithms are introduced, and a new fuzzy free acquisition algorithm is proposed. In this paper, we introduce the usual acquisition algorithms for BOCMAM (n) signals, and give two fuzzy free acquisition algorithms in time domain and frequency domain, respectively. The improved algorithm is simulated by Matlab. Finally, on the basis of theoretical analysis and simulation above, the FPGA implementation of the filter based Bockomn signal acquisition algorithm is completed, and the modules are divided, the functions of each module are described, and the Modelsim simulation diagram is given.
【学位授予单位】：北京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN911.3

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