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On asynchronous data fusion

机译:关于异步数据融合

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摘要

In a multisensor tracking system, sensors often operate asynchronously and provide data at different rates with different communication delays. In this case the sequential processing of the sensor data may be computationally intensive. In addition, due to the inherent delay associated with some sensors, such as a multi-tasking radar, it may not be possible to process the data real time. The present paper presents an approach to deal with asynchronous sensors' data without performing sequential processing, i.e., using a data fusion approach. The result of the paper applies to an arbitrary number of dissimilar sensors.
机译:在多传感器跟踪系统中,传感器经常异步操作,并以不同的通信延迟提供不同的速率。在这种情况下,传感器数据的顺序处理可以是计算密集的。另外,由于与一些传感器相关的固有延迟,例如多任务雷达,可能无法实时处理数据。本文介绍了一种处理异步传感器数据的方法,而不执行顺序处理,即,使用数据融合方法。纸张的结果适用于任意数量的异种传感器。

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