【摘 要】
：
针对仅有角测量的单站无源目标在混合坐标系中进行跟踪所出现的问题,本文提出了应用U变换算法进行改进.该算法采用求取σ点和相应权值的办法,就可以直接得到非线性函数的均值
【机 构】
：
南京电子十四所,西北工业大学航海学院 南京210013,西安710072
论文部分内容阅读
针对仅有角测量的单站无源目标在混合坐标系中进行跟踪所出现的问题,本文提出了应用U变换算法进行改进.该算法采用求取σ点和相应权值的办法,就可以直接得到非线性函数的均值和方差等统计特性,而不需要对非线性函数进行线性化处理.通过仿真,并且与传统的卡尔曼滤波算法进行比较,该算法不仅能够对目标进行很好的跟踪,跟踪误差小,而且运算速度也比扩展卡尔曼滤波算法快.
In order to solve the problem of single-target passive target tracking in hybrid coordinate system with only angular measurement, this paper presents an improved U-transform algorithm, which adopts the method of obtaining σ-point and corresponding weight directly The statistical properties such as the mean and variance of the nonlinear functions are obtained without the linearization of the nonlinear functions.Through the simulation and comparison with the traditional Kalman filtering algorithm, the algorithm can not only track the target well, The tracking error is small, and the computation speed is faster than the extended Kalman filter algorithm.
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