基于稀疏SAF-LMS算法的非线性自适应后向散射滤波器水下四象限双波束周向扫描激光引信

IF 5 Q1 ENGINEERING, MULTIDISCIPLINARY
Guangbo Xu , Bingting Zha , Hailu Yuan , Zhen Zheng , He Zhang
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引用次数: 0

摘要

目标回波峰与反向散射回波峰重叠的现象严重影响了水下激光引信的探测范围和精度。为了克服这一问题,我们提出了一种四象限双光束圆周扫描激光引信,以区分各种干扰信号,为反向散射滤波算法提供更多的实时数据。这就增强了引信的算法加载能力。针对现有线性反向散射滤波算法滤波能力不足的问题,我们开发了基于样条自适应滤波最小均方(SAF-LMS)算法的非线性反向散射自适应滤波器。我们还设计了一个算法暂停模块,以保留目标回波峰的原始趋势,提高引信的时间判别精度和抗干扰能力。最后,我们对不同信噪比的原始水下目标回波信号进行了实验。实验结果表明,滤波前后的平均信噪比可提高 31 dB 以上,极限探测距离可提高 76%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Underwater four-quadrant dual-beam circumferential scanning laser fuze using nonlinear adaptive backscatter filter based on pauseable SAF-LMS algorithm

The phenomenon of a target echo peak overlapping with the backscattered echo peak significantly undermines the detection range and precision of underwater laser fuzes. To overcome this issue, we propose a four-quadrant dual-beam circumferential scanning laser fuze to distinguish various interference signals and provide more real-time data for the backscatter filtering algorithm. This enhances the algorithm loading capability of the fuze. In order to address the problem of insufficient filtering capacity in existing linear backscatter filtering algorithms, we develop a nonlinear backscattering adaptive filter based on the spline adaptive filter least mean square (SAF-LMS) algorithm. We also designed an algorithm pause module to retain the original trend of the target echo peak, improving the time discrimination accuracy and anti-interference capability of the fuze. Finally, experiments are conducted with varying signal-to-noise ratios of the original underwater target echo signals. The experimental results show that the average signal-to-noise ratio before and after filtering can be improved by more than 31 dB, with an increase of up to 76% in extreme detection distance.

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来源期刊
Defence Technology(防务技术)
Defence Technology(防务技术) Mechanical Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering
CiteScore
8.70
自引率
0.00%
发文量
728
审稿时长
25 days
期刊介绍: Defence Technology, a peer reviewed journal, is published monthly and aims to become the best international academic exchange platform for the research related to defence technology. It publishes original research papers having direct bearing on defence, with a balanced coverage on analytical, experimental, numerical simulation and applied investigations. It covers various disciplines of science, technology and engineering.
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