Subthreshold detection and tracking of a small maneuvering target

V. Koshelev, V. Belokurov
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Abstract

The present paper concerns the feasibility of applying a combination of Gaussian particle filter and an interactive multimode filter for mutual detection and tracking of a small maneuvering target. We propose using two models: one with a constant velocity, another with a constant acceleration. Filters, corresponding to each of those models, employ Gaussian particle filter. Numerical modeling results demonstrate that the proposed algorithm is capable of detecting a maneuvering target at low signal-to-noise ratio.
小机动目标的亚阈值检测与跟踪
本文研究了高斯粒子滤波器与交互多模滤波器组合用于机动小目标相互检测与跟踪的可行性。我们建议使用两个模型:一个是恒定速度,另一个是恒定加速度。每个模型对应的滤波器采用高斯粒子滤波。数值模拟结果表明,该算法能够在低信噪比条件下检测机动目标。
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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