基于快速独立分量分析算法的弹道目标信号分离

2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI:10.1109/ISCTIS51085.2021.00072

Yuxi Li, Peng Li

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引用次数: 1

摘要

在现代反导作战过程中，弹道目标的准确识别至关重要，实现目标微多普勒曲线的分离是实现准确识别的关键步骤。针对这一问题，本文提出了一种快速ica算法来分离散射点的微多普勒曲线。仿真实验结果表明，信号分离效果良好，验证了算法的有效性。

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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Ballistic Target Signal Separation Based on Fast Independent Component Analysis Algorithm

In the process of modern anti-missile warfare, accurate identification of ballistic targets is crucial, and achieving the separation of target micro-Doppler curves is a key step for accurate identification. Aiming at this problem, this paper proposes a Fast-ICA algorithm to separate the micro-Doppler curves of the scattering points. According to the results of the simulation experiment, the signal is separated well, which verifies the effectiveness of the proposed algorithm.

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2021 International Symposium on Computer Technology and Information Science (ISCTIS)

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