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A Novel Method to Analyze Accuracy of Target Measurement Based on Entropy

机译:基于熵的目标测量精度分析新方法

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In radar tracking, the relationship between target motion and radar measurement is nonlinear, which is described by conversion function from polar to Cartesian coordinate. In this paper, based on information entropy, a new method is presented to measure the amount of target Cartesian position information acquired from radar polar coordinate. Furthermore, by applying linear approximation and without approximation of the nonlinear conversion function, the factors affecting the accuracy of target position obtained from radar polar measurement are analyzed based on the proposed entropy. With the proposed analysis method, it is proved that with the increase of measurement precision and the decrease of radial range, the target position accuracy acquired from radar polar measurements increases, and it is independent of the target bearing.
机译:在雷达跟踪中,目标运动与雷达测量之间的关系是非线性的,这由极坐标到笛卡尔坐标的转换函数来描述。本文基于信息熵,提出了一种新的方法来测量从雷达极坐标获取的目标笛卡尔位置信息量。此外,通过采用线性近似和不近似非线性转换函数的方法,基于所提出的熵,分析了影响雷达极测量获得的目标位置精度的因素。利用所提出的分析方法,证明了随着测量精度的提高和径向范围的减小,雷达极地测量获得的目标位置精度将增加,并且与目标方位角无关。

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