基于估计误差反馈的自适应卡尔曼滤波器的改进

Proceedings. Student Conference on Research and Development, 2003. SCORED 2003. Pub Date : 2003-08-25 DOI:10.1109/SCORED.2003.1459657

N. Promkajin, S. Noppanakeepong

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引用次数: 1

摘要

本文提出了一种实现自适应卡尔曼滤波的新技术。该算法基于卡尔曼滤波跟踪方法，并加入了反馈估计误差。将该算法的性能与标准卡尔曼滤波和IMM算法进行了比较。该滤波器实现简单，计算量少，同时比标准卡尔曼滤波算法产生更好的估计，接近IMM算法。

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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An improvement to the adaptive Kalman filter with the feedback of estimation error

This paper presents a new novel technique for implementation of the adaptive Kalman filter. The algorithm is based on Kalman filtering tracking method with the addition of feedback estimation error. The performance of the algorithm is compared with that of a standard Kalman filter and also with that of an IMM algorithm. This proposed filter is simple to implement and requires less computational load while produce better estimates than the standard Kalman filter algorithm and closely to the IMM algorithm.

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来源期刊

Proceedings. Student Conference on Research and Development, 2003. SCORED 2003.

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