优化历元间载波相位差分的车辆姿态估计模型

Vehicle Attitude Estimation Model Using Optimized Time-Differenced Carrier Phase

  • 摘要: 针对运动车辆的姿态角传统估计方法成本较高、模型复杂等问题,提出一种低成本、高效率、高精度的基于载波相位时间差分(time-differenced carrier phase, TDCP)的车辆航向角和俯仰角估计模型。该模型利用一台全球卫星导航系统(global navigation satellite system,GNSS)接收机的观测数据,使用复杂度低的TDCP算法得到精确的车辆位移矢量,进而估计车辆航向角和俯仰角;为了提高估计效率,对传统载波相位时间差分算法进行了优化。基于中国香港连续运行参考站(continuously operating reference stations,CORS)数据的静态实验和基于车载数据的动态实验结果表明,优化的载波相位时间差分较一般载波相位时间差分效率更高,所提出的航向角和俯仰角估计模型能提供精确的航向角和俯仰角估计值,其均方根误差小于0.2°,最大误差小于1.5°。

     

    Abstract:
      Objectives  To solve the problems of high cost and high complexity of traditional estimation method of the moving vehicles attitude angle, an innovative vehicle heading and pitch estimation model based on optimized time-differenced carrier phase is proposed.
      Methods  First, we use observation data of one global navigation satellite system receiver and time-differenced carrier phase algorithm with a low-complexity to obtain accurate vehicle displacement vector, further estimate vehicle heading and pitch. In order to improve the estimation efficiency, we optimize the traditional time-differenced carrier phase algorithm.
      Results  Static and dynamic tests results show that the optimized time-differenced carrier phase is more efficient than the general carrier phase time-difference, and the processing time can be saved by about 40%.The proposed heading and pitch estimation model can provide accurate values of heading and pitch, whose root mean square error is less than 0.2° and maximum error is less than 1.5°.The accuracy of the model will not be affected by the accumulation of errors within one hour.
      Conclusions  This proposed model uses only one receiver to obtain heading and pitch of moving vehicles, which has the advantages of high accuracy, low cost, low complexity and high efficiency.

     

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