一种Alpha稳定分布噪声下目标螺旋桨特征提取方法

王彬; 侯越圣

doi:10.11999/JEIT190916

一种Alpha稳定分布噪声下目标螺旋桨特征提取方法

doi: 10.11999/JEIT190916

王彬^,,
侯越圣

战略支援部队信息工程大学郑州 450001

基金项目: 国家自然科学基金 (61572518)

详细信息

作者简介:
王彬：女，1971年生，副教授，研究方向为信号分析与处理

侯越圣：男，1995年生，硕士生，研究方向为信号分析与处理

通讯作者:
王彬　commutech@163.com

中图分类号: TN911.7
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- 被引次数: 0
出版历程
- 收稿日期: 2019-11-14
- 修回日期: 2020-05-04
- 网络出版日期: 2020-05-16
- 刊出日期: 2020-10-13

Extraction of Target Propeller Features in Alpha Distribution Noise

Bin WANG^,,
Yuesheng HOU

PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China

Funds: The National Natural Science Foundation of China(61572518)

摘要

摘要: 为了解决Alpha稳定分布噪声下目标螺旋桨特征提取问题，该文提出一种基于分数低阶循环谱的特征提取方法。首先，从理论上推导出脉冲噪声条件下舰船辐射噪声分数低阶循环谱，指出分数低阶循环谱中出现峰值与螺旋桨特征的关系。然后根据该关系，提出基于分数低阶循环谱的螺旋桨特征估计方法。最后，通过仿真实验验证该方法的性能，并通过实测数据进一步验证了算法有效性。
- Alpha稳定分布噪声 /
- 螺旋桨特征提取 /
- 分数低阶循环谱
Abstract: In order to solve the problem of target propeller features extraction under Alpha stable distribution noise, a method based on fractional low-order cyclic spectrum is proposed. Firstly, the low-order cyclic spectrum of ship radiation noise in impulse noise is derived, and the relationship between the propeller features and the peak value in the fractional low-order cyclic spectrum is given. Based on this, a propeller feature estimation method based on fractional low-order cyclic spectrum is proposed. Finally, the performance of method is verified by simulation experiments, and the effectiveness of the algorithm is further verified by the actual data.
- Alpha stable distribution noise /
- Propeller feature extraction /
- Fractional low order cyclic spectrum

HTML全文

图 1 DEMON谱估计流程

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图 2 螺旋桨特征提取方法流程

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图 3 舰船辐射噪声波形

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图 4 $\alpha = 2.0$时的谱分析结果

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图 5 $\alpha = 1.5$时的谱分析结果

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图 6 $\alpha = 1.2$时的谱分析结果

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图 7 噪声特征指数对叶频估计性能影响

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图 8 混合信噪比对叶频估计性能影响

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图 9 AUV辐射噪声时域波形

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图 10 AUV辐射噪声不同频段循环谱分析结果

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表 1 AUV轴频估计结果

距离(m) 1 1 2 2 2.5

螺旋桨转速
设定值(r/min) 300 400 300 500 400
轴频估计值(Hz) 4.71 6.34 4.73 7.93 6.28
估计误差(Hz) 0.29 0.33 0.27 0.40 0.39

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