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基于侦校雷达的多测距实时数据融合方法研究

         

摘要

Aiming at the shortcoming of the traditional weighted average data fusion method that it demands high integrality of measurement data to measurement equipment,we proposed a real-time data fusion method based on multiple distance measurements of networked scout radars.Under least squares rule,the networking fusion model of scout radars was established,and the initial value choice of the parameters to be estimated,determination of weight coefficient matrix,and fusion precision were studied for model solution.The real-time performance and precision of the proposed method were verified through simulation and analysis.%针对传统加权平均数据融合方法对测试设备测元齐备性要求高的局限性,提出一种基于多测距融合的侦校雷达组网实时数据融合方法。在最小二乘准则下,建立了侦校雷达组网融合模型,并对模型求解涉及的待估参数初值选择、权系数矩阵确定和融合精度等问题进行深入研究。通过仿真实验分析,有效验证了所提方法的实时性和精度。

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