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Comparison of adaptive target-tracking algorithms for phased-array radar

机译:相控阵雷达自适应目标跟踪算法比较

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摘要

The effects of incorporating a time-varying update time into three target-tracking algorithms based on the alpha beta - and alpha beta gamma -filters are presented and compared. The resulting performance figures are presented, these being the mean square errors, the mean update time and the mean number of updates. The update times are chosen according to the inverse of either the square root or cube root of the position residual. As expected, the alpha beta gamma -filter yields larger update times during the manoeuvre than those obtained with the alpha beta -filter, as the residuals obtained with the former filter are smaller during the manoeuvre. It is found that the best compromise between the number of updates and estimation errors is obtained when the update time is chosen according to the inverse of the square root of the residual when the alpha beta -filter is being used, and the inverse of the cube root of the residual when the alpha beta gamma -filter is being used. Finally, a discussion is presented as to how a combination of the alpha beta - and alpha beta gamma -filters can be made to track a target which executes manoeuvres.
机译:提出并比较了将随时间变化的更新时间合并到基于alpha beta-和alpha beta gamma过滤器的三种目标跟踪算法中的效果。给出了最终的性能数据,这些数据是均方误差,平均更新时间和平均更新次数。根据位置残差的平方根或立方根的倒数选择更新时间。不出所料,在操纵过程中,αβγ过滤器的更新时间比用αββ过滤器获得的更新时间长,因为在操纵过程中,使用前一个过滤器获得的残差较小。发现当根据使用alpha beta -filter时的残差平方根的倒数和立方的倒数选择更新时间时,可以在更新次数和估计误差之间获得最佳的折衷。使用alpha beta gamma -filter时的残差根。最后,讨论了如何组合使用alpha beta-和alpha beta gamma过滤器来跟踪执行机动的目标。

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