关于仿真数据的询问

[WangDixing]

请问，您这里的程序都是直接计算的实测数据吗？有没有使用过仿真数据？有的话可以共享一下仿真的程序吗？

[benzenemo]

我没有计算过仿真数据 发自我的荣耀手机

[WangDixing]

你好，感谢你的解答，请问你这个程序中的自适应算法有相关的参考文献吗？比如发表的论文什么的，想仔细学习一下。谢谢

[benzenemo]

具体指哪部分算法？我把我的引文列表发你 [1]Paul D. Groves, 练军想, 唐康华, 潘献飞. GNSS与惯性及多传感器组合导航系统原理 : Principles of GNSS, inertial, and multisensor integrated navigation systems[M]. 北京:国防工业出版社, 2015. [2]Falco G, Pini M, Marucco G. Loose and Tight GNSS/INS Integrations: Comparison of Performance Assessed in Real Urban Scenarios[J]. Sensors, 2017, 17(2):27. [3]周琪.先进机载导航技术 [R].第八届中国卫星导航学术年会.上海,2017 [4]Syed Z. Design and Implementation Issues of a Portable Navigation System [D]. University of Calgary,2009. [5]Jiang J, Yu F, Lan H, et al. Instantaneous Observability of Tightly Coupled SINS/GPS during Maneuvers[J]. Sensors, 2016, 16(6):765-788. [6]李团, 章红平, 牛小骥,等. 城市环境下BDS+GPS RTK+INS紧组合算法性能分析[J]. 测绘通报, 2016(9):9-12. [7]Gao Z, Zhang H, Ge M, et al. Tightly coupled integration of multi-GNSS PPP and MEMS inertial measurement unit data[J]. GPS Solutions, 2017, 21(2):377-391. [8]刘帅. 模糊度固定解PPP/INS紧组合理论与方法[D] .郑州:解放军信息工程大学, 2017. [9]Liu S, Sun F, Zhang L, et al. Tight integration of ambiguity-fixed PPP and INS: model description and initial results[J]. GPS Solutions, 2016, 20(1):39-49. [10]Gao Z, Zhang H, Ge M, et al. Tightly coupled integration of ionosphere-constrained precise point positioning and inertial navigation systems[J]. Sensors, 2015, 15(3):5783-802. [11]Han H, Wang J, Wang J, et al. Reliable partial ambiguity resolution for single-frequency GPS/BDS and INS integration[J]. GPS Solutions, 2017, 21(1):251-264. [12]Gao Z, Shen W, Zhang H, et al. Application of Helmert Variance Component Based Adaptive Kalman Filter in Multi-GNSS PPP/INS Tightly Coupled Integration[J]. Remote Sensing, 2016, 8(7). [13]Zhou Q, Zhang H, Li Y, et al. An Adaptive Low-Cost GNSS/MEMS-IMU Tightly-Coupled Integration System with Aiding Measurement in a GNSS Signal-Challenged Environment[J]. Sensors, 2015, 15(9):23953-23982. [14]Li Z, Zhang H, Zhou Q, et al. An Adaptive Low-Cost INS/GNSS Tightly-Coupled Integration Architecture Based on Redundant Measurement Noise Covariance Estimation[J]. Sensors: basel, Switzerland, 2017, 17(9):2032. [15]杨元喜. 自适应动态导航定位[M]. 北京:测绘出版社, 2017. [16]Feng S, Wayn C J, Dempster A G. A DSRC Doppler/IMU/GNSS Tightly-coupled Cooperative Positioning Method for Relative Positioning in VANETs[J]. Journal of Navigation, 2016, 70(1):120-136. [17]Miller I, Campbell M. Sensitivity Analysis of a Tightly-Coupled GPS/INS System for Autonomous Navigation[J]. IEEE Transactions on Aerospace & Electronic Systems, 2012, 48(2):1115-1135. [18]高楠. 情境感知辅助的陆地载体导航定位研究[D]. 北京:北京航空航天大学, 2016. [19]Zhang Qieqie, Zhao Luodi, Zhao Long and Zhou Jianhua. An Improved Robust Adaptive Kalman Filter for GNSS Precise Point Positioning. IEEE Sensors Journal, 2018, 18(10):1-11. [20]程义军, 孙海燕, 程海斌. 抗差卡尔曼滤波及其在动态水准网平差中的应用[J]. 测绘工程, 2004, 13(04):55-57+71. [21]陶本藻. 卡尔曼滤波模型误差的识别[J]. 大地测量与地球动力学, 1999, 19(4):15-20. [22]Li T, Zhang H, Gao Z, et al. High-accuracy positioning in urban environments using single-frequency multi-GNSS RTK/MEMS-IMU integration[J]. Remote Sensing, 2018, 10(2): 205. 在 2023-05-08 11:52:08，"WangDixing" ***@***.***> 写道： 你好，感谢你的解答，请问你这个程序中的自适应算法有相关的参考文献吗？比如发表的论文什么的，想仔细学习一下。谢谢 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: ***@***.***>

[WangDixing]

不好意思哈，再次打扰你一下。还是之前的问题，想问一下您这个程序里的两个自适应算法是都是您自己创新的吗？想问下其中的IAE算法有没有发表什么论文呢？想拜读一下。您之前给我发的文献列表中我没有找到对应的资料。

[WangDixing]

因为想详细了解一下程序中所用的两种算法的推导过程和算法原理

[benzenemo]

[14]Li Z, Zhang H, Zhou Q, et al. An Adaptive Low-Cost INS/GNSS Tightly-Coupled Integration Architecture Based on Redundant Measurement Noise Covariance Estimation[J]. Sensors: basel, Switzerland, 2017, 17(9):2032.
https://www.mdpi.com/1424-8220/17/9/2032/html#B9-sensors-17-02032
我第一次接触IAE和RAE这两个词是在上面这篇论文的综述部分，对应的参考文献也在上面这篇论文里有