杂波下高脉冲重复频率雷达跟踪的高斯混合测量模型

2014 International Conference on Electronics, Information and Communications (ICEIC) Pub Date : 2014-10-02 DOI:10.1109/ELINFOCOM.2014.6914435

Y. Shi, D. Musicki, Tae Han Kim, T. Song

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引用次数: 2

摘要

提出了一种高脉冲重复频率雷达在杂波条件下的跟踪算法。HPRF雷达最严重的问题是距离模糊。本文采用高斯混合模型-综合航迹分割(GMM-ITS)算法解决了这一问题，并给出了目标存在概率(PTE)作为航迹质量度量。该航迹质量测度用于杂波条件下的伪航迹判别。

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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Gaussian mixture measurement model for high pulse-repetition frequency radar tracking in clutter

This paper presents an algorithm for high pulserepetition frequency (HPRF) radar tracking in clutter. A most serious problem with HPRF radar is the range ambiguity. This paper proposes a solution to this problem by using the Gaussian Mixture Model - Integrated Track Splitting (GMM-ITS) algorithm, which also gives out the probability of target existence (PTE) as the track quality measure. This track quality measure is used for false track discrimination in clutter.

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2014 International Conference on Electronics, Information and Communications (ICEIC)

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