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计量
文章访问数:928
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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。
关键词: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.
Key words:Alpha stable distribution noise/
Propeller feature extraction/
Fractional low order cyclic spectrum
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