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Multisource information fusion applied to ship identification for the recognized maritime picture

机译:多源信息融合应用于识别海图的船舶识别

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Abstract: The Recognized Maritime Picture (RMP) is defined as acomposite picture of activity over a maritime area ofinterest. In simplistic terms, building an RAMP comesdown to finding if an object of interest, a ship in ourcase, is there or not, determining what it is,determining what it is doing and determining if sometype of follow-on action is required. The CanadianDepartment of National Defence currently has access toor may, in the near future, have access to a number ofcivilians, military and allied information or sensorsystems to accomplish these purposes. These systemsinclude automatic self-reporting positional systems,air patrol surveillance systems, high frequency surfaceradars, electronic intelligence systems, radar spacesystems and high frequency direction finding sensors.The ability to make full use of these systems islimited by the existing capability to fuse data fromall sources in a timely, accurate and complete manner.This paper presents an information fusion systems underdevelopment that correlates and fuses these informationand sensor data sources. This fusion system, namedAdaptive Fuzzy Logic Correlator, correlates theinformation in batch but fuses and constructs shiptracks sequentially. It applies standard Kalman filtertechniques and fuzzy logic correlation techniques. Wepropose a set of recommendations that should improvethe ship identification process. Particularly it isproposed to utilize as many non-redundant sources ofinformation as possible that address specific vesselattributes. Another important recommendation statesthat the information fusion and data associationtechniques should be capable of dealing with incompleteand imprecise information. Some fuzzy logic techniquescapable of tolerating imprecise and dissimilar data areproposed.!13
机译:摘要:公认的海洋图片(RMP)被定义为感兴趣的海洋区域内活动的综合图片。简而言之,构建RAMP的过程是寻找感兴趣的对象(例如我们的船)是否在那儿,确定它是什么,确定它在做什么以及确定是否需要某种后续行动。加拿大国防部目前可以使用,或者在不久的将来可能会使用许多平民,军事和相关信息或传感器系统来实现这些目的。这些系统包括自动自我报告定位系统,空中巡逻监视系统,高频水面雷达,电子情报系统,雷达空间系统和高频测向传感器。充分利用这些系统的能力受到现有融合所有来源数据的能力的限制。本文提出了一种信息融合系统,该系统尚处于开发阶段,可以将这些信息和传感器数据源进行关联和融合。该融合系统名为自适应模糊逻辑相关器,可以批量关联信息,但可以按顺序融合并构建航迹。它应用了标准的卡尔曼滤波技术和模糊逻辑相关技术。我们提出了一系列建议,这些建议应该可以改善船舶识别过程。特别地,提出了利用尽可能多的解决特定血管属性的非冗余信息源。另一个重要的建议指出,信息融合和数据关联技术应该能够处理不完整和不精确的信息。提出了一些能够容忍不精确和不相似数据的模糊逻辑技术!13

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