常见过程噪声对双传感器融合轨道性能的影响

Zhao Jie, Xu Tao, Ren Lixiang, Cui Zhishe
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引用次数: 3

摘要

研究了通用过程噪声对轨道统计距离和状态估计融合性能的影响。由于过程噪声对交叉协方差矩阵产生很大的计算负荷,实际上是一半或全部的计算负荷,因此在系统实现中避免了对交叉协方差矩阵的实时计算。首先,对交叉协方差矩阵、航迹统计距离和状态估计融合的计算量进行了估计和比较。仿真了常见过程噪声对轨道统计距离和状态估计融合性能的影响。仿真结果表明,在过程噪声较小的情况下,可以忽略交叉协方差矩阵。
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Effect of the common process noise on performance of two-sensor fused-track
This paper presented the effect of the common process noise on track statistical distance and performance of state estimation fusion. Because of the great computational load on the cross-covariance matrix produced by process noise, indeed, which is a half or total computational load, the real-time computation of the cross-covariance matrix is avoided in system implementation. First, the computational load on the cross-covariance matrix, track statistical distance, and state estimation fusion are estimated and compared. And the effect of the common process noise on track statistical distance and performance of state estimation fusion are simulated. Simulation results show that in the case of less process noise, the cross-covariance matrix is neglected.
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