Evaluation of Measuring Accuracy of the Airborne Object Azimuth when Fusion the Primary Data Radar Observation Systems

I. Obod, I. Svyd, O. Maltsev, G. Zavolodko, D. Pavlova
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引用次数: 3

Abstract

In the paper, a model for data fusion from primary radars and the Identification Friend or Foe (IFF) system, from the airspace control system, is proposed and investigated. It calculates the azimuth of an air object for which there are IFF systems response signals, this allows for a fusion based on Bayesian azimuth data algorithms taking into account the weight merge of the azimuth of an air object estimated from both primary radar and IFF systems. This makes it possible to improve the quality of measuring the coordinates of airborne objects and, as a result, the quality of information support for decision makers.
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初级数据雷达观测系统融合时机载目标方位测量精度评价
本文提出并研究了来自空域控制系统的初级雷达与敌我识别系统的数据融合模型。它计算有敌我识别系统响应信号的空中物体的方位角,这允许基于贝叶斯方位角数据算法的融合,考虑到从初级雷达和敌我识别系统估计的空中物体方位角的权重合并。这就有可能提高测量空中物体坐标的质量,从而提高为决策者提供信息支持的质量。
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