【摘要】 UWB(超宽带)技术由于具有低功耗,大带宽等特点非常适合于无线测距定位应用。针对智能交通系统中的车辆定位特点提出了一种理想应用环境中只需两个参考节点的二维车辆定位系统,并针对该系统在非理想情况下精度较低的问题提出了3种分别基于方程解平均,多次测距平均,及AOA测距平面修正的定位精度改进方案。通过理论分析及仿真结果证明,提出的车辆定位系统可以有效实施车辆定位,在3种改进算法的辅助下能够达到较高的定位精度。三种改进算法中,基于方程解平均及AOA测距平面修正以增加成本为代价,多次测距平均以增加时间开销为代价,因此在实际车辆定位系统设计中,可根据应用环境及精度要求灵活使用。更多还原

【Abstract】 UWB(ultra-wide band)is very suitable for wireless ranging and positioning due to its some good characteristics such as low power,low cost,ultra wide bandwidth and so on.A 2-D vehicle positioning system was designed for the intelligent transport system which only needs two reference nodes in an ideal environment.And for improving the positioning accuracy of the proposed system under a non-ideal condition,another three algorithms based on solution-averaging,distance-averaging and AOA(angle of arrival)ranging plane amending were also introduced.The theory analysis and simulation results show that the proposed positioning system could perform vehicle positioning task and get a high positioning precision assisted by the modified algorithms.Among the three modified algorithms,the solution-averaging and AOA ranging plane amending get the higher precise at the price of the cost,and the distance-averaging is at the cost of more operation time.Therefore,in a realistic vehicle positioning system design,the three algorithms should be employed flexibly according to the application environment and precision request.更多还原