| 利用Doppler-warping变换的水下对空运动声源的线谱探测EI北大核心CSCD |
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| 引用本文： | 毛俊杰,彭朝晖,张灵珊,王光旭,刘凯悦.利用Doppler-warping变换的水下对空运动声源的线谱探测EI北大核心CSCD[J].声学学报,2022,47(6):810-819. |
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| 作者姓名： | 毛俊杰 彭朝晖 张灵珊 王光旭 刘凯悦 |
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| 作者单位： | 1 中国科学院声学研究所 声场声信息国家 重点实验室 北京 100190; |
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| 基金项目： | 国家自然科学基金项目(11774374, 11674349)资助 |
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| 摘 要： | 提出了一种利用Doppler-warping变换的水下对空运动声源的线谱探测方法。该方法首先利用Doppler-warping变换线性化目标线谱的多普勒相位,再提取线性化后的目标线谱点,结合波束形成算法实现对目标的探测。仿真和海试数据处理结果表明,与直接提取目标线谱实现探测的方法相比,所提出方法有以下几个优势:(1)将目标线谱多普勒相位线性化,线谱跟踪更为稳定连续;(2)将目标线谱频带展宽的能量重新集中到原频率附近,在低信噪比环境下能更好地提取目标线谱;(3)将干扰线谱瞬时频率非线性化,能更好地实现干扰线谱的分离。海试数据处理结果表明,实现了对远至16.8 km处空中运动目标的水下有效探测,探测能力与抗干扰能力明显增强。
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| 关 键 词： | 运动声源 线谱 非线性化 瞬时频率 频带展宽 波束形成算法 数据处理结果 海试 |
| 收稿时间： | 2021-09-07 |
Line spectrum detection of airborne source from underwater using Doppler-warping transform |
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| Affiliation: | 1. State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences Beijing 100190;2 University of Chinese Academy of Sciences Beijing 100049;3 Department of Research and Development, China Academy of Launch Vehicle Technology Beijing 100076 |
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| Abstract: | A line spectrum detection method using Doppler-warping transform is proposed to detect high-speed airborne sound sources from underwater. The method firstly uses Doppler-warping transform to linearize the Doppler phase of the target line spectrum, then extracts the linearized target line spectrum points, and combines beamforming algorithm to achieve target detection. Numerical simulation and the sea trial data processing show that compared with the method of directly extracting the target line spectrum to achieve detection, the proposed method has the following advantages: (1) it can linearize the nonlinear phase of the target line spectrum produced by the Doppler effect, making the line spectrum tracking more stable and continuous; (2) the target line spectrum energy of the broadened frequency band is refocused to the vicinity of the original frequency, and the target line spectrum can be better extracted in a low signal-to-noise ratio environment; (3) non-linearization of the instantaneous frequency of the interference line spectrum can better realize the separation of the interference line spectrum. The sea trial data processing results show that the algorithm has achieved effective underwater detection of moving targets in the air as far as 16.8 kilometers away, and the detection ability and anti-interference ability have been significantly enhanced. |
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