基于二进制偏移载波调制的导航信号捕获跟踪算法研究
发布时间：2018-08-27 16:21
【摘要】：新型二进制偏移载波(Binary Offset Carrier, BOC)调制方式应用于卫星导航系统信号的调制,很好地解决了有限频带资源条件下,北斗、伽利略、GPS等卫星导航系统的共存问题,也提高了导航接收机的导航精度,增强了导航信号抗多径等影响的能力。然而,由于BOC调制信号自相关函数具有多个峰值会引起模糊性问题,需要新的捕获跟踪算法予以解决；同时,基于多系统的多模卫星导航接收机的发展也对BOC调制信号捕获跟踪算法的可适应性和可扩展性提出了新的要求。因此,本文围绕解决BOC调制信号的模糊性问题和提高BOC信号捕获跟踪算法的可适应性进行了细致的研究,主要包含如下工作。 针对BPSK-like (Binary Phase Shift Keying like)算法可以对BOC调制信号进行单边带处理的特性,以及北斗系统B2频段的AltBOC(10,5)(Alternative BOC)调制信号两个边带包含不同导航信息的特点,将BPSK-like算法扩展到AltBOC(10,5)调制信号的捕获,同时,经仿真得到北斗系统的MB0C(6,1,1/11)(Multiplexed Binary Offset Carrier)调制信号和普通BOC(1,1)调制信号自相关特征相似的结论后,将ASPeCT (Autocorrelation Side-Peak Cancellation Technique)捕获算法扩展应用于MBOC(6,1,1/11)信号,经仿真验证表明这两种算法扩展后保留了良好的捕获性能,这十分有利于多模导航接收机的设计。 针对ASPeCT算法对BOC信号自相关次峰消除不够彻底的问题,提出了一种全新改进型ASPeCT算法,分析和仿真验证表明,该算法比ASPeCT算法计算量更小,且去模糊效果更好。同时,针对ASPeCT算法和改进型ASPeCT算法只适用于正弦型BOC (n,n)信号,适用面窄的缺点,提出了一种适用于正弦和余弦型BOC(n,n)调制信号的无模糊捕获算法,该算法得到的相关输出相比前面两种算法主峰更高,因此,抗干扰能力更强,更易被准确捕获。 最后,在研究了新型PUDLL (Pseudo correlation function based Unambiguous Delay Lock Loop)跟踪环路之后,提出并验证了两种去模糊的BOC信号跟踪算法,其中的一种消去了所有余弦型BOC信号自相关函数绝大部分的次峰,而且保留了BOC信号抗多径性能强的特性。另一种算法适用于MBOC(6,1,1/11)调制信号,由仿真分析得到该算法的跟踪精度和去模糊性能都明显优于ASPeCT跟踪算法。
[Abstract]:The new binary offset carrier (Binary Offset Carrier, BOC) modulation method is applied to the signal modulation of satellite navigation system, which solves the coexistence problem of satellite navigation system such as Beidou, Galileo GPS and so on under the condition of limited frequency band resources. The navigation accuracy of navigation receiver is also improved, and the ability of navigation signal to resist multipath influence is enhanced. However, because the autocorrelation function of BOC modulation signal has multiple peaks, it will cause fuzziness, so it needs to be solved by a new capture and tracking algorithm. The development of multi-mode satellite navigation receiver based on multi-system also puts forward new requirements for the adaptability and expansibility of BOC modulation signal acquisition and tracking algorithm. Therefore, this paper focuses on solving the fuzziness problem of BOC modulation signal and improving the adaptability of BOC signal acquisition and tracking algorithm, which mainly includes the following work. In view of the characteristic that BPSK-like (Binary Phase Shift Keying like) algorithm can process BOC modulation signal by single sideband, and that the two sideband signals of Beidou system B2 band contain different navigation information, the BPSK-like algorithm is extended to capture AltBOC modulation signal. At the same time, the simulation results show that the MB0C (6 / 1 / 1 / 11) modulation signal of Beidou system is similar to that of the ordinary BOC (1 / 1) modulation signal, and then the ASPeCT (Autocorrelation Side-Peak Cancellation Technique) acquisition algorithm is extended to MBOC (61 / 1 / 1 / 11) signal. Simulation results show that the two algorithms retain good capture performance, which is very beneficial to the design of multimode navigation receiver. Aiming at the problem that the ASPeCT algorithm is not enough to eliminate the sub-peak autocorrelation of BOC signals, a new modified ASPeCT algorithm is proposed. The analysis and simulation results show that the algorithm is less computational than the ASPeCT algorithm, and the effect of de-blurring is better than that of the ASPeCT algorithm. At the same time, aiming at the disadvantage that the ASPeCT algorithm and the improved ASPeCT algorithm are only suitable for sinusoidal BOC (NCN) signals, a fuzzy free acquisition algorithm is proposed for sinusoidal and cosine BOC (NNN) modulated signals. The correlation output of the algorithm is higher than the main peak of the two previous algorithms, so the anti-jamming ability is stronger and it is easier to be captured accurately. Finally, after studying a new PUDLL (Pseudo correlation function based Unambiguous Delay Lock Loop) tracking loop, two de-fuzzy BOC signal tracking algorithms are proposed and validated, one of which eliminates the subpeaks of most of the autocorrelation functions of all cosine BOC signals. Moreover, the characteristics of BOC signal with strong anti-multipath performance are retained. The other algorithm is suitable for MBOC (6 / 1 / 1 / 11) modulation signal. The simulation results show that the tracking accuracy and deblurring performance of this algorithm are obviously better than that of ASPeCT tracking algorithm.
【学位授予单位】：中国科学技术大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN96.1
本文编号：2207802
[Abstract]:The new binary offset carrier (Binary Offset Carrier, BOC) modulation method is applied to the signal modulation of satellite navigation system, which solves the coexistence problem of satellite navigation system such as Beidou, Galileo GPS and so on under the condition of limited frequency band resources. The navigation accuracy of navigation receiver is also improved, and the ability of navigation signal to resist multipath influence is enhanced. However, because the autocorrelation function of BOC modulation signal has multiple peaks, it will cause fuzziness, so it needs to be solved by a new capture and tracking algorithm. The development of multi-mode satellite navigation receiver based on multi-system also puts forward new requirements for the adaptability and expansibility of BOC modulation signal acquisition and tracking algorithm. Therefore, this paper focuses on solving the fuzziness problem of BOC modulation signal and improving the adaptability of BOC signal acquisition and tracking algorithm, which mainly includes the following work. In view of the characteristic that BPSK-like (Binary Phase Shift Keying like) algorithm can process BOC modulation signal by single sideband, and that the two sideband signals of Beidou system B2 band contain different navigation information, the BPSK-like algorithm is extended to capture AltBOC modulation signal. At the same time, the simulation results show that the MB0C (6 / 1 / 1 / 11) modulation signal of Beidou system is similar to that of the ordinary BOC (1 / 1) modulation signal, and then the ASPeCT (Autocorrelation Side-Peak Cancellation Technique) acquisition algorithm is extended to MBOC (61 / 1 / 1 / 11) signal. Simulation results show that the two algorithms retain good capture performance, which is very beneficial to the design of multimode navigation receiver. Aiming at the problem that the ASPeCT algorithm is not enough to eliminate the sub-peak autocorrelation of BOC signals, a new modified ASPeCT algorithm is proposed. The analysis and simulation results show that the algorithm is less computational than the ASPeCT algorithm, and the effect of de-blurring is better than that of the ASPeCT algorithm. At the same time, aiming at the disadvantage that the ASPeCT algorithm and the improved ASPeCT algorithm are only suitable for sinusoidal BOC (NCN) signals, a fuzzy free acquisition algorithm is proposed for sinusoidal and cosine BOC (NNN) modulated signals. The correlation output of the algorithm is higher than the main peak of the two previous algorithms, so the anti-jamming ability is stronger and it is easier to be captured accurately. Finally, after studying a new PUDLL (Pseudo correlation function based Unambiguous Delay Lock Loop) tracking loop, two de-fuzzy BOC signal tracking algorithms are proposed and validated, one of which eliminates the subpeaks of most of the autocorrelation functions of all cosine BOC signals. Moreover, the characteristics of BOC signal with strong anti-multipath performance are retained. The other algorithm is suitable for MBOC (6 / 1 / 1 / 11) modulation signal. The simulation results show that the tracking accuracy and deblurring performance of this algorithm are obviously better than that of ASPeCT tracking algorithm.
【学位授予单位】：中国科学技术大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN96.1
【参考文献】
相关期刊论文 前3条
1 杨元喜;;北斗卫星导航系统的进展、贡献与挑战[J];测绘学报;2010年01期
2 吕伟;朱建军;;北斗卫星导航系统发展综述[J];地矿测绘;2007年03期
3 ;TD-AltBOC:A new COMPASS B2 modulation[J];Science China(Physics,Mechanics & Astronomy);2011年06期
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