分布式卡尔曼滤波中目标的存在概率

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 1900-01-01 DOI:10.1109/SDF.2013.6698265

Daniel Svensson, F. Govaers, M. Ulmke, W. Koch

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引用次数: 2

摘要

本文推导了杂波条件下单个目标的存在概率。更具体地说，本文在分布式卡尔曼滤波中考虑了目标的存在性。首先，明确推导了双传感器情况下的概念解，其次进行了矩匹配近似，使计算可追溯性。结果可以推广到任意数量的传感器。

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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Target existence probability in the distributed Kalman filter

In this paper, the target existence probability for a single target in clutter is derived. More specifically, the paper considers target existence in the distributed Kalman filter. First, a conceptual solution is derived explicitly for a two-sensor case, and second a moment-matching approximation is performed, which enables computational tractability. The results can be generalized to arbitrary numbers of sensors.

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2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)

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