雷达组网多目标跟踪系统的设计与实现

Design and Realization for Multi-Target Tracking of Radar Network System

雷达组网多目标跟踪系统采用加权最小二乘估计估计目标的初始状态,其数据关联采用最近邻算法,假设观测误差为高斯噪声且各个传感器之间相互独立,先计算量测点与系统航迹的标准化距离,再判断某个量测是否与某个航迹相关联,选择标准距离最小的系统航迹与量测点配对,用此量测点对系统航迹进行更新。系统跟踪滤波则采用加权最小二乘滤波算法,仿真试验表明,该系统可有效地对组网雷达条件下的多目标进行跟踪。

The multi-target tracking radar network system uses weighted linear regression to estimate the state of the target. Suppose the measuring error as the Gauss noise and the sensor is independent, the data association adopts the nearest neighbor algorithm. At first, compute the normalized distance between measurement point and system tracks, then partner measurement and system track which is nearest with the measurement point. In the end, use weighted linear regression fuser to track targets. The simulation results show that the system is effective to track multi-target and maneuvering targets.