摘要
高速移动车辆错位通信条件下,车辆信号模糊程度增强,导致传统基于信号特征的车辆通信参数检测算法无法准确分析车辆通信参数,具有一定的局限性;提出一种基于改进卡曼尔滤波算法的高速移动错位下车辆通信参数检测方法,分析了车辆快速移动过程中最佳通信节点的定位,对最佳车辆节点进行融合,获取最佳车辆通信参数,采用改进的卡尔曼滤波算法,得到一系列递推检测算法,建立信号以及噪声的状态空间模型,依据前时刻的车辆通信参数检测值和当前时刻的检测值,对高速移动错位下车辆通信参数变量检测值进行修正,及时更新改进卡曼尔滤波算法检测噪声的协方差,实现高速移动错位下车辆通信参数的准确检测;实验检测结果表明,所提方法的可准确检测高速移动错位下的车辆通信参数,具有较高的效率和精度。
Under the condition of high-speed mobile dislocation vehicle communication,vehicle the fuzzy degree of signal is enhanced,lead to the traditional vehicle communication based on signal feature parameters detection algorithm can＇t accurate analysis of vehicle communication,has certain limitations.Puts forward an algorithm based on improved Kalman filter under the high-speed mobile dislocation of vehicle communication parameter detection method,analyzed the best communication node in the process of fast moving vehicle positioning,the best vehicle node fusion,to obtain the optimum parameters of the vehicle communication,using the improved Kalman algorithm,get a series of recursive algorithm,establish the state space model of signal and noise,on the basis of former time of vehicle communication parameter values and the values of the current time,vehicle communication parameter variable values under the high-speed mobile dislocation amended,update testing noise covariance,realize high-speed mobile dislocation of vehicle communication parameters under accurate detection.Experimental results show that the proposed method can accurately detect of vehicle communication parameters under high-speed mobile dislocation,has high accuracy and efficiency.
出处
《计算机测量与控制》
2015年第2期389-391,共3页
Computer Measurement &Control
关键词
高速
移动错位
车辆通信参数
精确检测
high speed
mobile dislocation
vehicle communication parameters
accurate detection
