Accuracy analysis of tightly combined inertial navigation system: taking the Applanix POS MV as an example

doi:10.13474/j.cnki.11-2246.2024.0831

Abstract

Abstract: With the development of mobile measurement technology, the demand for high-precision, continuous, reliable, and stable navigation and positioning data is becoming increasingly strong. In response to the difficulty of single GNSS navigation and positioning in complex dynamic environments, Applanix POS MV is used to conduct precision experiments on tightly integrated inertial navigation systems. The research shows that: ①The precision of tightly integrated navigation and positioning is significantly better than that of single GNSS PPK positioning models, especially in areas with large angular rate and attitude changes, the advantage of combined navigation and positioning accuracy is more significant.②The tightly integrated navigation and positioning system has the highest accuracy in tracking all satellites, and the accuracy of shutting down the BeiBou satellite is equivalent to tracking only the GPS satellite. However, shutting down the GPS satellite results in significant loss of accuracy. The tight combination navigation positioning system has better PPK assisted positioning accuracy than RTX assisted positioning accuracy, but the RTX accuracy is better than 0.05 cm, which can meet the accuracy requirements of large-scale mapping. The results indicate that the use of PPK or RTX assisted tightly integrated inertial navigation systems can provide high-precision, continuous, reliable, and stable navigation and positioning data in complex situations.

Key words: tightly coupled combination, inertial navigation system, Applanix POS MV, navigation and positioning data, precision analysis

CLC Number:

P228

FENG Guozheng, YE Fei, SUN Zhenyong, FEI Xinlong, NIE Junwei. Accuracy analysis of tightly combined inertial navigation system: taking the Applanix POS MV as an example[J]. Bulletin of Surveying and Mapping, 2024, 0(8): 177-181.

References

[1] 王志豪,李中洲,田震.全景测量技术在海域动态监视监测中的应用[J].测绘通报,2021(2): 112-116.
[2] 王旭博.移动测量系统中组合定位定姿技术的研究[D].西安: 长安大学,2020.
[3] 陈超.城市环境下惯性信息辅助GNSS精密定位模糊度固定方法研究[D].徐州: 中国矿业大学,2022.
[4] 柴大帅.多星座GNSS/INS组合导航理论与方法研究[D].徐州: 中国矿业大学,2020.
[5] PETOVELLO M.Real-time integration of a tactical-grade IMU and GPS for high-accuracy positioning and navigation[D].Canada:University of Calgary,2003.
[6] 魏笑辰.移动测量系统的多传感器数据融合与定姿技术[D].昆明: 昆明理工大学,2016.
[7] 冯义楷,丁继胜,杨龙,等.基于GNSS方位辅助惯性导航系统的水下地形精密测量技术[J].海洋技术学报,2019,38(5): 43-48.
[8] 蒋鑫.INS/GPS组合导航数据事后处理技术的研究[D].南京: 南京航空航天大学,2017.
[9] 单红雷.基于移动测量系统的实景三维建模[J].中国测绘,2023(7): 66-69.
[10] 俞家勇.移动测量系统异构数据高精度融合方法研究[J].测绘学报,2023,52(4): 692.
[11] 王亚锋,黄沛烁,喻夏琼,等.海上组合导航中北斗定位误差处理方法研究[J].海洋工程装备与技术,2023,10(3): 76-82.
[12] 倪少杰,李诗扬,谢郁辰,等.GNSS/INS超紧组合导航综述[J].国防科技大学学报,2023,45(5): 48-59.
[13] 董冲.GPS与INS的组合定位技术研究[J].数字通信世界,2024(1): 28-30.
[14] 冯国正,刘世振,李艳,等.基于GNSS/INS紧耦合的水陆地形三维一体化崩岸监测技术[J].长江科学院院报,2019,36(10): 94-99.
[15] ZHAO Lin,QIU Haiyang,FENG Yanming.Analysis of a robust Kalman filter in loosely coupled GPS/INS navigation system[J].Measurement,2016,80: 138-147.
[16] 曹春燕.基于宽度学习方法的GPS/INS组合导航信息融合研究[D].大连:大连海事大学,2023.
[17] ZHAO Yingwei.Performance evaluation of Cubature Kalman filter in a GPS/IMU tightly-coupled navigation system[J].Signal Processing,2016,119: 67-79.
[18] 金传开.北斗/INS紧组合导航系统研究[D].哈尔滨: 哈尔滨工程大学,2018.
[19] 黄亚洲,曹忠良.航速及纬度误差对Octans航向值的影响[J].中国水运(下半月),2018,18(6): 5-6.
[20] 薛武,张永生,戴晨光,等.无人直升机摄影测量系统的设计与验证[J].测绘通报,2017(4): 58-62.
[21] CANTER P,BRENNAN R,AMEELE E V D.Tightly integrated inertially-aided post processed virtual reference station technique for marine hydrography[J].Environment Science,Engineering,2008:130190549.
[22] 李彬,范琳.基于In-Fusion技术车载移动测量系统定位精度分析[J].地理空间信息,2018,16(12): 38-41.