车载GPS/BD-DR组合导航系统设计与实现
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摘要
随着社会生活生产方式的不断改变,导航技术在各个领域都呈现出巨大的需求。目前,在四大卫星导航系统中,全球卫星定位系统(GPS)已经在全球范围内得到了广泛的应用,但因受制于美国而不能完全依赖,而我国自主研发控制的北斗卫星导航系统(BD, Navigation Satellite System)已经进入正式运营,且完成了亚太地区的覆盖并在进一步的完善,已成为我国在相关领域应用的趋势。虽然卫星导航系统具有精度高、全天候、可独立工作等优点,但多径效应的存在及障碍物的遮挡会导致其误差增大甚至出现信号盲区而不能定位,且普通卫星导航接收机因数据率过低并不适合于高速环境中的应用。另一方面,基于多传感器数据融合的航位推算(DR, Dead Reckoning)技术虽然具有短时精度高、实时性好等优点,但会随时间出现累计误差。由卫星导航系统与DR系统相结合而成的卫星-DR组合导航系统能够弥补各自的不足,因此成为多个领域的选择,并形成新的研究热点。
     为实现高精度、高可靠性且连续导航定位的目的,本文对卫星导航与航位推算导航分别进行研究,分析了各自的不足。针对目前航位推算技术的缺陷,提出了一种带倾角补偿的低成本单陀螺仪单加速度计航位推算方案。结合DR与卫星导航系统的优缺点,设计了卫星-DR组合导航系统,并通过软硬件设计实现了该组合导航系统,弥补了各自的不足,提高并完善了导航性能。系统选用普通GPS/BD双系统接收机,在增强组合导航系统安全性的同时提高了卫星导航接收机对导航卫星的可视率,一定程度上提高了导航精度。组合导航系统采用联邦卡尔曼滤波算法完成数据融合,并进一步融入插值法提高导航系统数据更新率,弥补了普通卫星导航接收机在高速环境应用中数据更新率过低的缺陷,最高更新率达到了40Hz。
     通过大量的实地测试与仿真验证,结果表明,该组合导航系统不但抑制了导航数据的漂移问题,平滑了导航轨迹,有效地提高了导航数据更新率,且解决了因坡道和水平安装误差带来的导航误差问题。该组合导航系统在灵活移动、多坡道及信号盲区环境下均具有较高的定位精度,能够满足车载导航的基本需求,对城市复杂路况及高速列车导航均具有一定的参考意义,达到了设计目的。
With changes of the modern life and production ways, navigation technology is widely required in various fields. Nowadays, GPS has been widely used in four navigation systems. However it can't be completely relied on for some specific applications due to its being controlled by America. Meanwhile, Beidou satellite navigation system that is independently developed and under control of our country, has come into practical use and covered the Asia-pacific region, it will be further improved for its coverage area and become the development trend in relative application areas. The satellite navigation has the advantages of high precision, all-weather and it can work independently. However, the existence of multipath and obstacles block can lead to the increase of errors. Furthermore, in the signal blind area the system even couldn't realize positioning. Moreover, common satellite navigation receivers aren't suitable for high-speed applications due to their limited data rate. On the other hand, although DR based on multi-sensor data fusion has the advantages of real-time and high precision, but it suffered accumulated errors during long time running. Satellite-DR integrated navigation, combined by satellite navigation system and DR navigation system, can make up each other's shortages. Therefore, it has become the choice of many applications and a hotspot of research.
     In order to realize seamless navigation with high precision, high reliability, this paper studies the current navigation technologies and analyzes their shortages. According to the drawbacks of the present DR technology, a low-cost DR scheme that employs an inclinometer together with a single gyroscope and accelerometer is proposed. Taking advantages of the DR and satellite navigation, a satellite-DR integrated navigation system is designed and realized by combing software function and hardware structure to improve the navigation performance. In the design, GPS/BD double system receiver is selected to raise the visible ratio of satellites and improve the navigation precision to some extent. Compared with the traditional satellite navigation receiver, integrated navigation system completes data fusion using federal Kalman filter, and introduces interpolation scheme to increase the data rate in high speed application. The system can reach to the data rate of40Hz in this design.
     A large number of field testing and simulation results show that the integrated navigation system not only inhibits the drift of receiving signals and smooth the navigation trail, but also increases the data rate effectively and solves the error problem caused by ramp and lever installation. This navigation system can meet the basic requirements and achieve higher positioning precision in flexible mobile environment with ramps and signal blind areas. In general, it has achieved our design purpose to offer a charming solution for urban complex traffic and high-speed train navigation.
引文
[1]陈飞.基于高精度定位技术的新型车站信号控制系统研究[D].北京交通大学,硕士学位论文.2006
    [2]聂建亮.GPS精密单点定位算法及故障诊断研究[D].长安大学博士学位论文.2010
    [3]Vincent Pereira, Audrey Giremus, and Eric Grivel. Modeling of Multipath Environment Using Copulas for Particle Filtering Based GPS Navigation[J]. IEEE Signal Processing Letters.2012,19(6):360-363
    [4]赵国材,赵力,宋春雷等.量子PSO粒子滤波在DR/GPS组合导航系统中的应用[J].传感器与微系统.2012,31(4):149-152
    [5]房建成,申功勋,万德钧.一种自适应联邦卡尔曼滤波器及其在车载GPS/DR组合导航系统中的应用研究[J].中国惯性技术学报.1998,6(4):1-6
    [6]Walter Poor. Corporation Statistical Estimation of Navigation Errors [J]. IEEE Transactions on Aerospace and Electronic System.1992,28(2):428-438
    [7]Tsai-Hsin Chang, Li-Sheng Wang, and Fan-Ren Chang. Solution to the Ill-Conditioned GPS Positioning Problem in an Urban Environment[J]. IEEE Transaction on Intelligent Transportation System.2009,10(1):135-145
    [8]王孝广,陈伟,刘建,汪宏宇.基于北斗/GPS/BGAN卫星技术的应急指挥监控系统[J].交通信息与安全.2009,2(27):127-130
    [9]周桃云,张怡,伍铁斌.GPS单点定位动态滤波算法研究[J].弹箭与制导学报.2009,29(2):27-30
    [10]黄张裕,陈苏娟,徐景欣.GPS动态定位中LAMBDA算法的分析及验证[J].测绘工程.2009,18(6):25-28
    [11]黄冠利,王辉,徐华平.基于时间序列解决GPS信号定位漂移的研究[J].计算机工程与应用.2008,44(3):94-97
    [12]刘娣,薄煜明,邹卫军.基于时间序列的GPS误差建模及单点定位精度研究[J].兵工学报.2009,30(6):825-828
    [13]高成发,胡伍生.卫星导航定位原理与应用[M].人民交通出版社.2011:14-16
    [14]李天文.GPS原理与应用[M].科学出版社.2010
    [15]Elliott D, Kaplan Christopher J, and Hegarty. Understanding GPS:Principles and Application[C]. Boston:Arteeh House,2005
    [16]EI-Rabbany Ahmed. Introduction to GPS:The Global Positioning System[C]. London: Artech House,2005
    [17]北斗网http://www.beidou.gov.cn/
    [18]杨元喜.北斗卫星导航系统的进展、贡献与挑战[J].测绘学报.2010,29(1):1-6
    [19]李鉴海.基于WebGIS架构的北斗/GPS车辆监控系统的设计与实现[D].国防科技大学硕士学位论文.2010
    [20]贾继超,吴训忠,夏家和等.一种车辆航位推算改进方法[J].中国惯性技术学报. 2009,17(4):453-455
    [21]曹超,马磊,赵舵等.基于ARM的移动机器人组合导航系统设计与实现[J].传感器与微系统.2013,32(2):102-104
    [22]金亮良,何文涛,徐建华等.一种低成本GPS/DR组合导航系统设计[J].计算机工程.2012,38(18):228-230
    [23]赵超凡,付梦印,张继伟.低成本组合导航系统滤波算法的研究[J].微计算机信息.2007,23(2):215-216
    [24]Hye Ri Park, Dong Jun Hyun, Hyun Seok Yang, et al. A Dead Reckoning Sensor System and a Tracking Algorithm for Mobile Robot[C]. Japan:ICROS-SICE International Joint Conference,2009
    [25]Kai-Wei Chiang. An Intelligent Navigator for Seamless INS/GPS Integrated Land Vehicle Navigation Applications[J]. Applied Soft Computing.2008,8(4):722-733
    [26]Seong Yun Cho, Wan Sik Choi. Robust Positioning Technique in Low-cost DR/GPS for Land Navigation[J]. IEEE Transaction on Instrumentation and Measurement.2006,55(4): 1132-1142
    [27]Xiaoguo Zhang, Qing Wang, and Dejun Wan. Map Matching in Road Crossings of Urban Canyons Based on Road Traverses and Linear Heading-Change Model [J]. IEEE Transaction on Instrumentation and Measurement.2007,56(6):131-135
    [28]Rafael Toledo-Moreo, David Betaille, and Francois Peyret. Lane-Level Integrity Provision for Navigation and Map Matching With GNSS, Dead Reckoning, and Enhanced Maps[J]. IEEE Transaction on Intelligent Transportation System.2011,11(1):100-112
    [29]Rafael Toledo-Moreo, David Betaille, Member, et al. Fusing GNSS, Dead-Reckoning, and Enhanced Maps for Road Vehicle Lane-Level Navigation[J]. IEEE Journal of Selected Topics in Signal Processing.2009,3(5):798-809
    [301汪辉.实用车载GPS/DR组合导航系统研究[D].南京理工大学硕士学位论文.2011
    [31]曾斌.车载GPS/DR组合导航定位系统研究[D].西南交通大学硕士学位论文.2009
    [32]Seong Yun Cho, Wan Sik Choi. Robust Positioning Technique in Low-cost DR/GPS for Land Navigation[J]. IEEE Transaction on Instrumentation and Measurement.2006,55(4): 1132-1142
    [33]David M.Bevly, Jihan Ryu, and J. Christian Gerdes. Integrating INS Sensors With GPS Measurements for Continuous Estimation of Vehicle Sideslip, Roll, and Tire Cornering Stiffness[J]. IEEE Transaction on Intelligent Transportation System.2006,7(4):483-493
    [34]Kristine M. Larson, John J. Braun, Eric E. Small, et al. GPS Multipath and Its Relation to Near-Surface Soil Moisture Content[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2010,3(1):91-99
    [35]Pengda Huang, Yiming Pi. Urban Enviroment Solutions to GPS Signal Near-far Effect[J]. IEEE Aerospace and Electronics Systems Magazine.2011,26(5):18-27
    [36]金亮良,何文涛,徐建华等.一种低成本GPS/DR组合导航系统设计[J].计算机工程. 2012,38(18):228-230
    [37]李旦,秦永元.张金亮.车载惯导航位推算组合导航系统误差补偿研究[J].计算机测量与控制.2011,19(2):389-391
    [38]王东升,蔡俊华,林晓彬等.一种提高车载定位定向系统定位精度的方法[J].中国惯性技术学报.2012,20(2):187-191
    [39]刘炳云,卢大伟,万德钧等.基于磁阻传感器的组合定位系统及误差补偿[J].测控技术.2005,20(2):10-12
    [40]苏中,李擎,李矿振等.惯性技术[M].国防工业出版社.2012
    [41]邓志红,付梦印,张继伟等.惯性器件与惯性导航系统[M].科学出版社.2012.6
    [42]宋贤法,韩晶,路秀丽.Protel Altium Designer 6.x入门与实用:电路设计实例指导教程[M].北京:机械工业出版社.2009
    [43]郝文化,黄炜.Protel DXP电路原理图与PCB设计[-M].机械工业出版社.2005
    [44]索俊祺.一种新的基于中值滤波的优化滤波算法[D].北京邮电大学硕士学位论文.2010
    [45]H. Min, A.N. Willson, Jr. Median Filters with Adaptive Length[J]. IEEE Transactions on Circuits and Systems.1991,35(6):675-690
    [46]Jerome H. Friedman, John W. Tukey. Projection Pursuit Algorithm for Exploratory Data Analysis[J]. IEEE Transaction on Computers.1974,23(9):881-890
    [47]Takamoto Watanabe, Tamotsu Mizuno, and Yasuaki Makino. An All-Digital Analog-to-Digital Converter with 12-uV/LSB Using Moving-average Filtering[J]. IEEE Journal of Solid-state Circuits.2003,38(1):120-125
    [48]姬伟,李奇.光纤陀螺信号误差分析与滤波算法的研究[J].传感技术学报.2007,20(4):847-852
    [49]郑贵省.GPS/DR车载组合定位系统数据融合算法研究[D].天津大学博士学位论文.2005
    [50]李延社.车载GPS/DR组合导航卡尔曼滤波算法研究[D].四川大学硕士学位论文.2006
    [51]胡屏,柏军.单片机应用系统中的看门狗技术[J].吉林大学学报(信息科学版).2003,21(2):205-208
    [52]秦婧.21天学通C*[D].电子工业出版社.2011

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