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Algorithm and Accuracy Analysis of Weighted Maximum Likelihood Estimation in Multi-station DF Crossing Localization

机译:多站DF交叉定位中加权最大似然估计的算法及精度分析

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In order to solve the non uniform environment of the target area influencing the variance of DF error, the weighted maximum likelihood estimation (WMLE) algorithm was proposed. In this algorithm, the effect of the target distance was introduced into MLE. we construct the weighted vector to make up for the effect when the target distance increase the variance of the DF error become worse. Theoretical analysis showed that the algorithm of WMLE could further improve the accuracy of the multi-station DF crossing localization.
机译:为了解决影响DF误差差异的目标区域的非均匀环境,提出了加权最大似然估计(WMLE)算法。在该算法中,将目标距离的效果引入MLE。我们构建加权矢量以弥补目标距离增加DF误差的方差变差。理论分析表明,WMLE算法可以进一步提高多站DF交叉定位的准确性。

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