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机构地区:[1]中国科学技术大学电子工程与信息科学系,安徽合肥230027
出 处:《系统工程与电子技术》2006年第9期1365-1369,共5页Systems Engineering and Electronics
摘 要:针对多基地雷达系统跟踪近距离高加速机动目标的场合,提出了一种并行扩展卡尔曼滤波算法。该算法首先建立起组网雷达群跟踪目标运动形态的观测模型,然后将三维加速度矢量引入到目标的运动模型中,通过并行计算的方式,在对加速度进行合理估计的基础上对量测数据进行卡尔曼滤波跟踪分析,获得目标的精确轨迹。仿真结果表明,该算法不仅能快速精确计算目标的位置和速度,而且具有很好的瞬态特性和稳态特性。To investigate the problem of tracking a high accelerating maneuvering target with netted radar system, the parallel extended Kalman filtering algorithm is derived. When constructing the system's measuring model, the acceleration vector is introduced into target motion equation. Considering the short measurement period of the system, the target's acceleration is reasonably estimated. By introducing the way of parallel calcula tion, the maneuvering target's accurate moving track is acquired when applying the extended Kalman filtering estimation to the system's measuring data. Computer simulation results show that the algorithm can accurately calculate the target's position and velocity with fast speed. Meanwhile, it has good convergence and stability.
关 键 词:组网雷达系统 并行扩展卡尔曼滤波 高加速机动目标 精确跟踪
分 类 号:TN953[电子电信—信号与信息处理]
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