A New Location Algorithm Based on Midperpendicular Plane Segmentation

Xu Ding-jie, Jiang Li, Shen Feng, Song Jin-yang
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Abstract

Based on the external radiation source passive multistation positioning system, due to the existence of location error, each positioning results more or less off target real position, therefore need to seek a kind of optimal fusion method, will be a variety of positioning results according to certain rules of data fusion, in order to get more accurate target location coordinates, reducing error. This paper proposed based on sagging surface integral multistation data fusion algorithm, effective improve location accuracy, and obtained with good stability.
一种新的基于中垂直平面分割的定位算法
基于外辐射源的被动多站定位系统,由于位置误差的存在,每次定位结果或多或少偏离目标真实位置,因此需要寻求一种最优的融合方法,将各种定位结果按照一定的规则进行数据融合,以获得更准确的目标位置坐标,减小误差。本文提出了基于凹陷面积分的多站数据融合算法,有效提高了定位精度,并获得了良好的稳定性。
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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