决策树滤波器-一种用于火控应用的非线性滤波方法

1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes Pub Date : 1900-01-01 DOI:10.1109/CDC.1978.267902

F. Nesline, P. Zarchan

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引用次数: 0

摘要

一种新型的过滤器，称为决策树过滤器，被开发出来，在各种各样的应用中保证了显著的性能优势。对于针对一系列机动和非机动目标的火炮火力控制，与卡尔曼滤波器相比，一个相对简单的决策树滤波器的命中概率提高了2比1，计算量减少了4比1。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Decision tree filters - a nonlinear approach to filtering for fire control applications

A new type filter, called a Decision Tree Filter, is developed that promises substantial performance benefits in a wide variety of applications. For gun fire control against a spectrum of maneuvering and non-maneuvering targets, a relatively simple Decision Tree Filter showed a performance improvement of 2 to 1 in hit probability and a 4 to 1 reduction in computation when compared to a Kalman filter.

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1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes

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