两传感器两扫描周期的数据关联

Data association based on two-sensor and two-scan

为了简化融合中心数据处理的复杂度,减轻计算机的负担和通信开销,研究了两传感器两采样周期的数据关联问题。建立了测量到航迹分配的线性规划数学模型,提出了关联测量数据的融合方法,采用带滤波器的遗传算法求解最优分配方案。仿真结果表明,这种数据关联方法所得到的目标航迹比单传感器的目标航迹更加精确。

In order to reduce the complexity of data processing and communication costs in the fusion center, the two-sensor and two-scan data association model is established. The fusion algorithm for associated data of two sensors is also presented. The genetic algorithm with filter is used to search the optimal solution. Extensive computer simulations show that the track based on this association method is more accurate than that from single scan association.