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Integration of passive ranging with Multiple Hypothesis Tracking (MHT) for application with angle-only measurements

机译:用多个假设跟踪(MHT)的无源测距与仅角度测量的应用

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This paper discusses the integration of a passive ranging method that uses multiple initial assumed range models within a Multiple Hypothesis Tracking (MHT) data association framework. The paper begins with a description of the use of multiple assumed range models along with a two model Interacting Multiple Model (IMM) approach for tracking maneuvering targets. It also discusses the choice of own ship maneuver required to provide observability for an air-to-air encounter and how the own ship maneuver can be chosen to reduce the effects of target maneuver. Unscented filtering methods designed for use with the nonlinear angle-only measurements will be described. Computational feasibility is a major issue with any MHT application and can be particularly important for the typical high false alarm environment envisioned for EO systems, such as the IRST. Thus, the use of multiple range filters is only employed for selected tracks based upon the track score. This and other logic designed to ensure computational feasibility are discussed and simulation results are presented.
机译:本文讨论了一种无源测距方法的集成,该方法在多假设跟踪(MHT)数据关联框架内使用多个初始假设范围模型。本文首先利用多个假定范围模型的描述以及用于跟踪机动目标的多种模型(IMM)方法的两个模型。它还讨论了自己船舶机动所选择的选择,以便为空运空对地遇到可观察性以及如何选择自己的船舶机动,以减少目标机动的影响。将描述设计用于非线性角度测量的Unscented过滤方法。计算可行性是任何MHT应用程序的主要问题,对于EO系统(例如IRST)设想的典型高误报警环境尤为重要。因此,基于轨道分数仅用于所选轨道的多个范围滤波器的使用。讨论旨在确保计算可行性的此和其他逻辑,并提出了仿真结果。

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