基于小波变换的移动目标分数阶轨迹参数滤波

2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI:10.1109/ICCA.2017.8003045

O. S. Amosov, S. G. Baena

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引用次数: 8

摘要

提出了一种基于分形维纳过程的考虑赫斯特指标的移动目标随机轨迹建模与滤波方法。为了数值实现这一过程，采用了基于小波的分解方法。研究了卡尔曼滤波和小波算法在弹道参数估计中的特点。并给出了举例说明。

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Wavelet based filtering of mobile object fractional trajectory parameters

Modeling and filtering of a mobile object stochastic trajectory on the basis of fractal Wiener process taking into account the Hurst indicator are offered. For numerical realization of this processes the wavelet based decomposition is used. The peculiarities of trajectory parameters estimation by using Kalman filter and the wavelet algorithm are investigated. The illustrating examples are given.

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2017 13th IEEE International Conference on Control & Automation (ICCA)

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