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Multiple sensor tracking architecture comparison

机译:多传感器跟踪架构比较

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There are several multiple sensor tracking architectures referenced in the literature [1]???[11]. The basic architectures have individual sensors observing the same targets and sending their information about those targets to a fusion center, where a system track, which is a fusion of the individual sensor data, is formed. The fusion center could be a distributed architecture itself, but this article will only examine the roles of the individual sensors, the fusion center (whether at one central location or distributed), and the information passed between them. These architectures range from each sensor tracking the targets and sending a state vector and covariance matrix to the fusion center to each sensor sending all measurements (targets and clutter) to the fusion center for tracking and state estimation. Choosing which architecture to use involves decisions between optimal estimation, practical use of communication bandwidth between the sensors and the fusion center, and computer resources required at either location. A comparative study of architectures in the literature has been limited to varieties of one general architecture (track-to-track fusion) [4]???[11]. This article will examine advantages and disadvantages of each system and show that there is one architecture approach rarely mentioned in the literature that has more advantages than the others for a general multiple sensor tracking system. This article uses the term tracking architectures to describe the different approaches to sensor fusion, which is used elsewhere in the literature [2]. The term tracking configurations has also been used [1]. The use of the term architectures in this article is equivalent to the term configurations found in [1].
机译:在文献[1]-[11]中引用了多种传感器跟踪架构。基本体系结构具有单个传感器,这些传感器观察相同的目标并将其关于那些目标的信息发送到融合中心,在融合中心形成单个传感器数据的融合系统轨迹。融合中心本身可以是分布式体系结构,但是本文将仅检查各个传感器的作用,融合中心(无论是在一个中央位置还是分布式)以及它们之间传递的信息。这些架构的范围从每个传感器跟踪目标并将状态向量和协方差矩阵发送到融合中心到每个传感器将所有测量值(目标和杂波)发送到融合中心进行跟踪和状态估计。选择使用哪种架构涉及以下方面的决定:最佳估计,传感器与融合中心之间通信带宽的实际使用以及任一位置所需的计算机资源。文献中对体系结构的比较研究仅限于一种通用体系结构(轨道到轨道的融合)[4] [11]。本文将研究每种系统的优缺点,并表明在一般的多传感器跟踪系统中,有一种架构方法在文献中很少提及,比其他方法更具优势。本文使用术语“跟踪体系结构”来描述传感器融合的不同方法,这些方法在文献[2]的其他地方使用。术语跟踪配置也已被使用[1]。本文中术语“体系结构”的使用等效于[1]中的术语“配置”。

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