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The performance of Single Observer Passive Location using Bearings-Only with the Modified UKf

机译:仅使用经改进的UKf的方位角的单观察者被动定位的性能

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摘要

The Bearings-Only (BO) method of passive location is modeled and its algorithm and error analyses are shown in this paper, then, the paper introduces the recently developed Unsccntcd Kalman Filter (UKF). What is more, the Modified UKF in application to BO is compared to the traditional Extended Kalman Filter (EKF). Results using this new algorithm indicate that the improved UKF provides more accurate estimates and easier implementation than EKF which make it more feasible to use. Meanwhile because of the limitation of Bearings-Only, even if use the UKF to BO, the location effect is also deteriorated when the azimuth angle becomes enlarged.
机译:对被动定位的仅轴承(BOES)方法进行了建模,并展示了其算法和误差分析,然后介绍了最近开发的Unsccntcd Kalman滤波器(UKF)。而且,将应用于UK的Modified UKF与传统的扩展卡尔曼滤波器(EKF)进行了比较。使用该新算法的结果表明,与EKF相比,改进后的UKF提供了更准确的估计并更易于实施,这使其更易于使用。同时,由于仅轴承的限制,即使将UKF用于BO,当方位角变大时,定位效果也会变差。

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