Research on Autonomous Integrity Monitoring Performance of Vector GNSS Receiver

Xiaojun ZOU; Baowang LIAN

doi:10.11999/JEIT180948

Volume 41 Issue 8

Aug. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(8): 1966-1973

Xiaojun ZOU, Baowang LIAN. Research on Autonomous Integrity Monitoring Performance of Vector GNSS Receiver[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1966-1973. doi: 10.11999/JEIT180948

Citation:

Xiaojun ZOU, Baowang LIAN. Research on Autonomous Integrity Monitoring Performance of Vector GNSS Receiver[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1966-1973. doi: 10.11999/JEIT180948

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Research on Autonomous Integrity Monitoring Performance of Vector GNSS Receiver

doi: 10.11999/JEIT180948

Xiaojun ZOU^,,
Baowang LIAN

School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China

Funds: The National Natural Science Foundation of China (61803310)

Received Date: 2018-10-12
Rev Recd Date: 2019-02-16

Available Online: 2019-02-26

Publish Date: 2019-08-01

Abstract

Abstract

Based on the analysis on the difference between vector tracking loop and scalar tracking loop on fault detection, it is pointed out that in vector receiver of Global Navigation Satellite System (GNSS), the detection statistic of Receiver Autonomous Integrity Monitoring (RAIM) algorithm is inaccurate because of the influence of noise, and the propagation of fault information in the loop makes it difficult to identify the fault source. To solve the problems, a double loop tracking structure based on pre-filter is proposed after modifying the structure of vector receiver. In the new receiver, the influence of noise is reduced by pre-filter based on cubature Kalman filtering algorithm, and the fault information is prevented from propagating to each other by switching the loop. Finally, the method is verified by simulation. Simulation results show that the improved vector receiver not only greatly reduces the mean and variance of RAIM detection statistics, but also improves the accuracy of fault identification. Thus, the performance of RAIM is significantly improved.
- Global Navigation Satellite System (GNSS),
- Vector tracking loop,
- Receiver Autonomous Integrity Monitoring (RAIM),
- Cubature Kalman filter

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References(18)

References

LASHLEY M, BEVLY D M, and HUNG J Y. Performance analysis of vector tracking algorithms for weak GPS signals in high dynamics[J]. IEEE Journal of Selected Topics in Signal Processing, 2009, 3(4): 661–673. doi: 10.1109/JSTSP.2009.2023341

朱珍珍. 卫星导航矢量跟踪关键技术研究[D]. [博士论文]. 国防科学技术大学, 2011: 3–6.

ZHU Zhenzhen. Research on key techniques of vector tracking for satellite navigation[D]. [Ph.D. dissertation]. National University of Defense Technology, 2011: 3–6.

ALAM N, TIAN JIN, and KHAN F A. Theoretical performance analysis and comparison of VDFLL and traditional FLL tracking loops[C]. 2018 European Navigation Conference, Gothenburg, 2018: 46–53.

PENG Senlin, MORTON Yu, and DI Ruihui. A multiple-frequency GPS software receiver design based on a vector tracking loop[C]. The IEEE/ION Position, Location and Navigation Symposium, Myrtle Beach, USA, 2012: 495–505.

SUN Zhaoyan, WANG Xinlong, FENG Shaojun, et al. Design of an adaptive GPS vector tracking loop with the detection and isolation of contaminated channels[J]. GPS Solutions, 2017, 21(2): 701–713. doi: 10.1007/S10291-016-0558-5

WU Mouyan, DING Jicheng, LUO Zhibin, et al. The coherent vector tracking loop design with FDE algorithm for BDS signals[C]. 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, Xi’an, China, 2017: 835–840.

HENKEL P, GIGER K, and GUNTHER C. Multifrequency, multisatellite vector phase-locked loop for robust carrier tracking[J]. IEEE Journal of Selected Topics in Signal Processing, 2009, 3(4): 674–681. doi: 10.1109/JSTSP.2009.2025637

BHATTACHARYYA S and GEBRE-EGZIABHER D. Integrity monitoring with vector GNSS receivers[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(4): 2779–2793. doi: 10.1109/TAES.2014.120376

BHATTACHARYYA S and GEBRE-EGZIABHER D. Vector loop RAIM in nominal and GNSS-stressed environments[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(2): 1249–1268. doi: 10.1109/TAES.2013.120679

吴云. GNSS粗差检测的" 快照”法与" 滤波”法的比较研究[J]. 武汉大学学报: 信息科学版, 2010, 35(6): 649–652, 704. doi: 10.13203/j.whugis2010.06.024

WU Yun. GNSS fault detection and identification performance comparison of snapshot and filtering[J]. Geomatics and Information Science of Wuhan University, 2010, 35(6): 649–652, 704. doi: 10.13203/j.whugis2010.06.024

秦永元, 张洪钺, 汪叔华. 卡尔曼滤波与组合导航原理[M]. 3版. 西安: 西北工业大学版社, 2015: 297–301.

QIN Yongyuan, ZHANG Hongyue, and WANG Shuhua. Kalman Filtering and Principle of Integrted Navigation[M]. 3rd ed. Xi’an: Northwestern Polytechnical University Press, 2015: 297–301.

AMANI E, DJOUANI K, DE BOER J R, et al. Adaptive and conjoint scalar-vector tracking loops for GNSS tracking robustness and positioning integrity[C]. 2017 European Navigation Conference, Lausanne, Switzerland, 2017: 1–13. doi: 10.1109/EURONAV.2017.7954168.

赵欣, 王仕成, 廖守亿, 等. 基于抗差自适应容积卡尔曼滤波的超紧耦合跟踪方法[J]. 自动化学报, 2014, 40(11): 2530–2540. doi: 10.3724/SP.J.1004.2014.02530

ZHAO Xin, WANG Shicheng, LIAO Shouyi, et al. An ultra-tightly coupled tracking method based on robust adaptive cubature kalman filter[J]. Acta Automatica Sinica, 2014, 40(11): 2530–2540. doi: 10.3724/SP.J.1004.2014.02530

JULIER S J and UHLMANN J K. Unscented filtering and nonlinear estimation[J]. Proceedings of the IEEE, 2004, 92(3): 401–422. doi: 10.1109/JPROC.2003.823141

ARASARATNAM I and HAYKIN S. Cubature Kalman filters[J]. IEEE Transactions on Automatic Control, 2009, 54(6): 1254–1269. doi: 10.1109/TAC.2009.2019800

HUEMMER C, HOFMANN C, MAAS R, et al. Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018, 26(3): 595–608. doi: 10.1109/TASLP.2017.2788183

朱灿. 高灵敏度卫星导航接收机同步技术的研究[D]. [博士论文], 东南大学, 2017: 87–92.

ZHU Can. Research on the synchronization techniques of high sensitivity GNSS receivers[D]. [Ph.D. dissertation], Southeast University, 2017: 87–92.

HEWITSON S and WANG Jinling. GNSS receiver autonomous integrity monitoring with a dynamic model[J]. The Journal of Navigation, 2007, 60(2): 247–263. doi: 10.1017/S0373463307004134

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