亚音速飞行目标气动噪声方位角估计技术
2021,43(6):163-169
王磊
中国人民解放军，13050513211@163.com
陈昭男
中国人民解放军，chzhnan12@163.com
张君
西北工业大学 自动化学院, 陕西 西安 710129;
中国科学院声学研究所, 北京 100190
周唯
中国人民解放军
佟健飞
中国科学院声学研究所, 北京 100190
中国人民解放军，13050513211@163.com
陈昭男
中国人民解放军，chzhnan12@163.com
张君
西北工业大学 自动化学院, 陕西 西安 710129;
中国科学院声学研究所, 北京 100190
周唯
中国人民解放军
佟健飞
中国科学院声学研究所, 北京 100190
摘要：
亚音速飞行弹道气动声源是宽带非平稳噪声。提出基于小波函数的波达方向估计算法,并采用时频分析方法进行特征分析,获取气动噪声显著目标特性。通过优化时间-空间谱特征,对在时频域空间谱的目标信号进行优化,从而增强目标信号在空间谱上的显著性,最终有效实现亚音速飞行弹道气动声源的角度估计。实验数据验证表明,基于时频分析阵列信号处理模型,可以更好地实现亚音速飞行目标气动噪声方位角估计。
亚音速飞行弹道气动声源是宽带非平稳噪声。提出基于小波函数的波达方向估计算法,并采用时频分析方法进行特征分析,获取气动噪声显著目标特性。通过优化时间-空间谱特征,对在时频域空间谱的目标信号进行优化,从而增强目标信号在空间谱上的显著性,最终有效实现亚音速飞行弹道气动声源的角度估计。实验数据验证表明,基于时频分析阵列信号处理模型,可以更好地实现亚音速飞行目标气动噪声方位角估计。
基金项目：
国家自然科学基金青年科学基金资助项目(6181481,4191415)
国家自然科学基金青年科学基金资助项目(6181481,4191415)
Azimuth angle estimation technology of subsonic flight vehicle
WANG Lei
The PLA Unit 91550, Dalian 116023, China,13050513211@163.com
CHEN Zhaonan
The PLA Unit 91550, Dalian 116023, China,chzhnan12@163.com
ZHANG Jun
School of Automation, Northwestern Polytechnical University, Xi′an 710129, China;
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
ZHOU Wei
The PLA Unit 91550, Dalian 116023, China
TONG Jianfei
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
The PLA Unit 91550, Dalian 116023, China,13050513211@163.com
CHEN Zhaonan
The PLA Unit 91550, Dalian 116023, China,chzhnan12@163.com
ZHANG Jun
School of Automation, Northwestern Polytechnical University, Xi′an 710129, China;
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
ZHOU Wei
The PLA Unit 91550, Dalian 116023, China
TONG Jianfei
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
Abstract：
The aerodynamic noise of subsonic flight trajectory is wideband non-stationary noise. A new direction of arrival estimation algorithm based on wavelet function was proposed. The time-frequency analysis method was used to obtain the significant characteristics of the aerodynamic noise. By optimizing the characteristics of space-time spectrum, the target signal in time-frequency domain was optimized to enhance the significance of the target signal in space spectrum, effectively realizing the azimuth angle estimation of the aerodynamic noise of the subsonic flight vehicle finally. The experimental data shows that array signal processing model based on time-frequency analysis can better achieve the azimuth angle estimation of aerodynamic noise of subsonic flight vehicle.
The aerodynamic noise of subsonic flight trajectory is wideband non-stationary noise. A new direction of arrival estimation algorithm based on wavelet function was proposed. The time-frequency analysis method was used to obtain the significant characteristics of the aerodynamic noise. By optimizing the characteristics of space-time spectrum, the target signal in time-frequency domain was optimized to enhance the significance of the target signal in space spectrum, effectively realizing the azimuth angle estimation of the aerodynamic noise of the subsonic flight vehicle finally. The experimental data shows that array signal processing model based on time-frequency analysis can better achieve the azimuth angle estimation of aerodynamic noise of subsonic flight vehicle.
收稿日期：
2020-07-14
2020-07-14
