扩展卡尔曼平滑与无气味卡尔曼平滑在高机动飞行目标运动特性推导中的比较

Proceedings of 2011 International Conference on Modelling, Identification and Control Pub Date : 2011-06-26 DOI:10.1109/ICMIC.2011.5973762

Samira Rahnama, Mohammad Reza Arvan

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引用次数: 6

摘要

本文讨论了非实时估计器、扩展卡尔曼平滑算法和最近发展的两种无迹卡尔曼平滑算法在高机动机动双被动传感器跟踪飞行目标的运动特性推导中的应用。并通过蒙特卡洛仿真对这些算法的性能进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparison of extended and unscented Kalman smoother in deriving kinematic characteristics of a high maneuver flying target

This paper addresses the application of the non real-time estimators, extended Kalman smoother and the two recently developed unscented Kalman smoother algorithms in deriving kinematic characteristics of a high maneuver flying target which is tracked with two passive sensors. Also the performance of these algorithms is compared over Monte Carlo simulations.

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Proceedings of 2011 International Conference on Modelling, Identification and Control

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