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Comparison of supersonic bullet ballistic models for accurate localisation of small arms fire

机译:精确定位小型武器火力的超音速子弹弹道模型的比较

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摘要

This study evaluates and compares the accuracies of five different ballistic models in predicting the speed profile of a supersonic bullet using radar measured speed data for 36 types of bullets. Each of the five ballistic models is parameterised by a ballistic constant and the muzzle speed of the bullet. In practice, each of these two parameters spans a wide range of values because of the large number of different bullet types that are available for use in a variety of applications. For a given bullet type, the bullet's ballistic constant and muzzle speed are determined by fitting the ballistic model to the data in a least-squares (LS) sense, and the root-mean-square (RMS) and maximum absolute (MA) deviations of the LS fit of the model from the data are computed. The best ballistic model (out of the five) is the one that has the smallest RMS and MA errors for the maximum number of bullet types. This ballistic model has been applied to accurate ranging of small arms fire using a single sensor node, with and without a priori knowledge of the model parameters, and its effectiveness for both cases is demonstrated using real data recorded from a field experiment.
机译:这项研究评估和比较了五个不同弹道模型在使用36种类型的子弹的雷达测得的速度数据预测超音速子弹的速度曲线时的准确性。五个弹道模型中的每一个都由弹道常数和子弹的枪口速度来参数化。在实践中,这两个参数中的每一个都跨越很宽的值范围,因为有大量可用于各种应用的不同子弹类型。对于给定的子弹类型,子弹的弹道常数和枪口速度是通过将弹道模型拟合到数据的最小二乘(LS)以及均方根(RMS)和最大绝对(MA)偏差来确定的从数据中计算模型的LS拟合值。最好的弹道模型(五种模型中的一种)是具有最大子弹类型数量的最小RMS和MA误差的模型。在没有先验知识的情况下,该弹道模型已被应用到使用单个传感器节点对小型武器射击进行精确测距的情况下,并使用现场实验记录的真实数据证明了其在两种情况下的有效性。

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