基于稳定快速横向递归最小二乘算法的单兵射击定位技术研究

Yu Bai, Xiaorong Guan, Zhong Li, Zheng Wang, H. Li, Yong Cheng
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引用次数: 0

摘要

为了降低噪声干扰,提高定位精度,研究了低信噪比条件下的单发射击定位技术。本研究采用了基于声强阈值的炮口爆震波端点检测技术、基于稳定快速横向递归最小二乘(SFTRLS)算法的声源定位技术和麦克风阵列模型。实验结果表明,即使在低信噪比条件下,炮口爆震波端点检测技术和声源定位技术仍然可以在小型麦克风阵列上实现较高的精度。
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Research on Individual Gunshots Localization Technology Based on Stabilized Fast Transversal Recursive Least Square Algorithm
In order to reduce noise interference and improve the localization accuracy, the individual gunshots localization technology under the condition of low SNR is studied. In this study, muzzle blast wave endpoint detection technology based on sound intensity threshold, and sound source localization technology based on Stabilized Fast Transversal Recursive Least Square (SFTRLS) algorithm and microphone array model are used. Experimental result shows that even under the condition of low SNR, the muzzle blast wave endpoint detection technology and the sound source localization technology can still achieve a high accuracy on a small microphone array.
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