| 近场反卷积聚焦波束形成声图测量 |
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| 引用本文： | 梅继丹,石文佩,马超,孙大军.近场反卷积聚焦波束形成声图测量[J].声学学报,2020,45(1):15-28. |
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| 作者姓名： | 梅继丹 石文佩 马超 孙大军 |
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| 作者单位： | 哈尔滨工程大学水声技术重点实验室 哈尔滨150001;海洋信息获取与安全工信部重点实验室哈尔滨工程大学工业和信息化部 哈尔滨150001;哈尔滨工程大学水声工程学院 哈尔滨150001;哈尔滨工程大学水声技术重点实验室 哈尔滨150001;海洋信息获取与安全工信部重点实验室哈尔滨工程大学工业和信息化部 哈尔滨150001;哈尔滨工程大学水声工程学院 哈尔滨150001;哈尔滨工程大学水声技术重点实验室 哈尔滨150001;海洋信息获取与安全工信部重点实验室哈尔滨工程大学工业和信息化部 哈尔滨150001;哈尔滨工程大学水声工程学院 哈尔滨150001;哈尔滨工程大学水声技术重点实验室 哈尔滨150001;海洋信息获取与安全工信部重点实验室哈尔滨工程大学工业和信息化部 哈尔滨150001;哈尔滨工程大学水声工程学院 哈尔滨150001 |
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| 基金项目： | 国家自然科学基金项目(61531012)和国家自然科学基金项目(61801140)资助 |
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| 摘 要： | 为了提高声图测量中对多个声源的分辨能力和定位精度,给出了一种近场二维反卷积聚焦波束形成声图测量方法。推导了水下声图测量的广义卷积模型,根据声图测量中点传播函数移变但可预测的特点,通过预存点传播函数字典的方式,将波束形成过程中的卷积问题转化成叠加积分问题,并应用二维Richardson-Lucy迭代算法实现了二维移变模型情况下的近场二维反卷积求解,从而实现高分辨声图测量。通过仿真和海试对比了反卷积、常规声图测量和MVDR声图测量的性能,结果表明反卷积算法在500次迭代情况下聚焦峰尺度小于另外两种算法的1/2,旁瓣级下降超过6 dB.
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| 收稿时间： | 2018-12-05 |
Near-field focused beamforming acoustic image measurement based on deconvolution |
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| Affiliation: | 1 Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001;2 Key Laboratory of Marine Information Acquisition and Security Harbin Engineering University, Ministry of Industry and Information Technology, Harbin 150001;3 College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001 |
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| Abstract: | In order to improve the resolution and positioning accuracy of multiple sound sources in acoustic image measurement,a near-field deconvolution focus beamforming acoustic image measurement method is presented.Firstly,the near-field two-dimensional generalized convolution mathematical model among the conventional acoustic image measurement results,the objective function and the array directivity function is established.According to the point spread function shift-variant but predictable characteristics in the acoustic map measurement,the convolution problem in the beamforming process is transformed into the original superposition integral problem by pre-storing the point spread function dictionary.The two-dimensional Richardson-Lucy iterative algorithm is used to solve the deconvolution in the case of two-dimensional shift-variant model,and the high-resolution acoustic image measurement processing is realized.The performance of deconvolution,conventional and MVDR acoustic image measurement is compared by simulation and sea test.The results show that the deconvolution algorithm has a focus peak size less than 1/2 of the other two algorithms in 500 iterations.The sidelobe level drops by more than 6 dB. |
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