一种实用的多传感器数据融合跟踪算法

SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545) Pub Date : 2000-07-26 DOI:10.1109/SICE.2000.889688

Yaping Dai, Jie Chen, K. Hirasawa, Youhua Wu

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引用次数: 4

摘要

本文提出了一种基于不同尺寸测量数据的雷达与红外传感器航迹融合算法。假设这些传感器是异步的，测量数据以不同的速率传输到中心站。通过时间匹配技术将两个异步数据进行融合，然后根据融合后的信息更新滤波器。讨论了旋转卡尔曼滤波算法在数据融合中的应用。该方法有效地解决了测量的非线性问题，减少了计算量。

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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A practical tracking algorithm of multisensor data fusion

This paper describes an algorithm for fusion of tracks created by radar and IR sensor with different dimensional measurement data. It is assumed these sensors are asynchronous and the measurement data are transmitted to a central station at different rates. By means of the technique of time matching two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm to data fusion is discussed. This approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation.

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来源期刊

SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545)

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