Variable sampling rate tracking, which is based on nets or grids multi-sensor asynchronous fusion tracking, is an important operating modes in phased array radar.
变采样率跟踪是相控阵雷达的一种重要工作模式，是基于网络或栅格多传感器异步融合跟踪的基础。
An adaptive tracking data rate algorithm based on interactive multi-model (IMM) is proposed.
针对交互式多模型(IMM)，提出一种自适应跟踪数据率的算法。
Simulation results show the validity of the presented algorithm. Compared with single-sensor tracking, multi-sensor tracking is of higher accuracy, stability and convergence rate.
大量的仿真研究表明了本算法的有效性，其中多站跟踪比单站跟踪具有更高的精度、算法稳定性和快速收敛性。
Simulation results show the validity of the presented algorithm. Compared with single-sensor tracking, multi-sensor tracking is of higher accuracy, stability and convergence rate.
大量的仿真研究表明了本算法的有效性，其中多站跟踪比单站跟踪具有更高的精度、算法稳定性和快速收敛性。
应用推荐