中文摘要：

以全球导航卫星系统（GNSS）定位与专用短程无线通信（DSRC）协同定位的集成信息融合为目标,在DSRC协同定位层面,基于水平精度因子最小化原则,提出了一种邻车节点的优选策略。在GNSS/DSRC融合定位层面,采用分散式融合估计思想,设计了一种松耦合模式下的车辆组合定位方法,基于GNSS、DSRC并行滤波进行全局估计,利用反馈策略改善了对不同定位条件的适应能力。利用车路协同仿真平台对协同车辆定位方法进行了仿真验证。验证结果表明：邻车节点优选策略显著提升了DSRC定位精度,将其用于GNSS/DSRC融合定位,在常规运行条件下,带反馈机制的分散式估计精度优于单传感器模式与无反馈分散式估计精度;在给定的GNSS多径干扰条件下,东向、北向位置估计的均方根误差与单GNSS模式相比分别降低了42.6%和37.0%,与集中式融合估计相比分别降低了24.8%和20.3%。协同车辆定位方法的定位性能优于常规定位方案,对GNSS多径干扰条件具有良好的适应能力,具备更优的精确性、可用性及工程应用价值。

英文摘要：

Aiming at the integration and information fusion of global navigation satellite system（GNSS）positioning and the cooperative positioning based on dedicated short-range communication（DSRC）,an advanced selection strategy for neighborhood vehicle nodes for DSRC-based cooperative positioning was proposed based on the minimum principle of horizontal dilution of precision.For GNSS/DSRC integrated vehicle positioning,a loose-coupling positioning method was designed according to decentralized estimation scheme.In the positioning method,the parallel GNSS and DSRC filters were combined for global estimation,and the adaptive capability against different operation conditions was enhanced based on feedback strategy.The cooperative vehicle positioning method was verified by using a cooperative vehicle infrastructure simulation platform.Verification result indicates that the precision of DSRC-based positioning method was significantly improved by the selection strategy of neighborhood vehicle nodes.When the DSRCbased positioning method was used in the GNSS/DSRC integrated positioning,under normal operation condition,the precision of decentralized fusion estimation with feedback is better than that with single sensor mode and the decentralized estimation without feedback.Compared to the GNSS-alone mode under the given GNSS multipath interference condition,the root mean square errors of vehicle positioning method reduce by 42.6%and 37.0%in east and north direction respectively,and they reduce by 24.8%and 20.3%compared to the centralized fusion estimation.The performance of proposed positioning method is better than conventional positioning solutions,and has an enhanced tolerant ability to GNSS multipath interference conditions,which suggest the better precision,availability and practical application value of proposed method.1 tab,16 figs,26 refs.