神经网络辅助卡尔曼滤波在多目标跟踪中的应用

Proceedings of the 1999 IEEE Radar Conference. Radar into the Next Millennium (Cat. No.99CH36249) Pub Date : 1999-04-20 DOI:10.1109/NRC.1999.767301

V. Vaidehi, N. Chitra, M. Chokkalingam, C. N. Krishnan

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引用次数: 42

摘要

在卡尔曼滤波中加入神经网络可以提高卡尔曼滤波的自适应能力。目前的工作扩展了这一事实，并提出了神经网络辅助卡尔曼滤波方案来跟踪高机动的多目标。针对不同的跟踪场景，给出了该方案对跟踪精度的提高。

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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Neural network aided Kalman filtering for multitarget tracking applications

The adaptive capability of the Kalman filtering is known to increase by incorporating a neural network into the normal Kalman filter. Current work extends this fact and proposes the neural network aided Kalman filtering scheme for tracking multitargets that are highly manoeuvring. The improvement in the tracking accuracy due to the proposed scheme is presented for various tracking scenarios.

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Proceedings of the 1999 IEEE Radar Conference. Radar into the Next Millennium (Cat. No.99CH36249)

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