基于惯性信息辅助的北斗动动定位方法的研究

Research of Beidou Move Locating by Inertial Information Auxiliary Method

摘要:

针对北斗动动定位中接收机信号易受遮挡导致无法实时准确定位的问题,对复杂信号条件下的动动定位测试进行了研究,提出了一种利用惯性信息辅助解算动态模糊度的方法,即一种将运动载体的惯导信息与北斗测量信息相结合,实现两运动载体之间精确动态相对定位的算法；通立基于载波相位双差的观测模型,采取融合滤波算法,讨论在不同卫星数目下的模糊度求解方法；在此基础上,利用实地车载试验完成了对上述组合定位方法的试验验证以及精度测试,事后着重对各历元数据进行解算,对定位精度、可用性进行了研究；结果表明,基于惯性信息辅助的北斗动动定位可用性指标变好,定位精度有一定的提高。

Abstract:

in view of the big dipper move positioning receiver signal vulnerable to keep out cause cannot real-time accurate positioning problem, for the move location test under the condition of complex signal are studied, this paper proposes a using inertial information auxiliary calculating method of dynamic fuzzy degree, is a kind of moving vehicle inertial navigation information combined with beidou measurement information, between the motion vector precision dynamic relative positioning algorithm. Flux based on carrier phase double difference observation model, adopt the fusion filtering algorithm, discuss the ambiguity solution under different number of satellites. On this basis, the use of field vehicle test completed the orientation of the combination method of test and precision test, later on, for each epoch data to studied the positioning accuracy and availability. Results show that based on the inertial information auxiliary beidou move positioning availability index, slightly improve the positioning accuracy. 