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复杂环境下基于GPS+BDS-3的PPP/INS/ODO组合导航性能分析 被引量:6

Analysis of PPP/INS/ODO Integrated Navigation Based on GPS+BDS-3 in Complicated Environment
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摘要 针对复杂环境下单一导航定位技术存在精度低、可靠性和完整性差的问题,提出一种GPS+BDS-3的PPP/INS/ODO组合导航方案。采用GPS+BDS-3双系统观测数据,推导无电离层组合PPP模型,进一步给出PPP/INS/ODO组合模型并分析时间异步及杆臂误差的处理策略,结合里程计测速信息和非完整性约束信息,提高组合导航的定位性能。利用仿动态和动态跑车实测数据,分别对GPS+BDS-3无电离层组合PPP的定位性能和PPP/INS/ODO组合导航的定位性能进行分析。实验结果表明,GPS+BDS-3组合定位精度较单系统有显著提高;PPP/INS/ODO组合系统在复杂环境下位置的RMSE优于1 m,可为复杂环境下的车载导航提供技术支撑。 We are concerned with problems of poor positioning accuracy,reliability and integrity in a single navigation and positioning method in an urban environment;we propose a PPP/INS/ODO integrated navigation scheme without ionospheric combination of GPS+BDS-3.Using the GPS+BDS-3 dual system,we derive the non-ionization combined function model.We give the combined model of PPP/INS/ODO and analyze the processing strategy of time asynchronous and lever arm.Combining odometer information and non-integrity constraint information further improves the positioning performance of the combined system.Using static and dynamic experimental data,we analyze the positioning performance of the GPS+BDS-3 non-ionization combined PPP and the positioning performance of the PPP/INS/ODO combined system,respectively.Experimental results show that the GPS and BDS-3 combination has significantly improved positioning accuracy compared to a single system;the PPP/INS/ODO combination system has a position RMSE better than 1 m in a complex environment,which can provide technical support for car navigation in a complex environment.
作者 张辉 余容 赵健 陈雨然 ZHANG Hui;YU Rong;ZHAO Jian;CHEN Yuran(Power China Guizhou Electric Power Design and Research Institute Co Ltd,357 Qianlingshan Road,Guiyang 550082,China)
出处 《大地测量与地球动力学》 CSCD 北大核心 2022年第3期275-280,共6页 Journal of Geodesy and Geodynamics
基金 贵州省科技计划(黔科合重大专项字[2018]3007,黔科合支撑[2021]一般288) 中国电力建设股份有限公司科技项目(DJ-ZDXM-2019-52)。
关键词 北斗卫星导航系统 精密单点定位 惯性导航系统 里程计 组合导航 Beidou satellite navigation system precision point positioning inertial navigation system odometer integrated navigation
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