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Distributed Multisensor Fusion

机译:分布式多传感器融合

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摘要

There have been several algorithms proposed for mul-tisensor tracking of multiple objects using a centralized processing architecture, but because of considerations such as reliability, survivability, and communication bandwidth, distributed processing architectures are often the only alternative. The distributed fusion problem is more complex than the centralized fusion problem due to correlation across track estimates for the same object. We propose an approach for distributed sensor fusion that bypasses this correlation problem and allows previously developed centralized fusion methods to be employed after a measurement reconstruction procedure. Limitations and assumptions are discussed, and simulation results are presented to demonstrate the performances obtained with this approach.
机译:已经提出了几种用于使用集中式处理体系结构对多个对象进行多传感器跟踪的算法,但是由于诸如可靠性,生存性和通信带宽等考虑,分布式处理体系结构通常是唯一的选择。分布式融合问题比集中式融合问题更为复杂,这是因为同一对象的航迹估计之间存在相关性。我们提出了一种用于分布式传感器融合的方法,该方法绕过了这种相关性问题,并允许在测量重建过程之后采用先前开发的集中式融合方法。讨论了局限性和假设,并给出了仿真结果以证明使用此方法获得的性能。

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