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水下回波处理中分数阶傅里叶变换的带通采样实现方法
引用本文:詹飞,马晓川,吴永清.水下回波处理中分数阶傅里叶变换的带通采样实现方法[J].应用声学,2020,39(2):268-274.
作者姓名:詹飞  马晓川  吴永清
作者单位:中国科学院大学; 中国科学院声学研究所 中科院水下航行器信息技术重点实验室,中国科学院大学; 中国科学院声学研究所 中科院水下航行器信息技术重点实验室,中国科学院大学; 中国科学院声学研究所 中科院水下航行器信息技术重点实验室
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)(61531018)
摘    要:利用球形压电陶瓷自身所具有的耐压能力,采用径向极化空气背衬压电球壳换能器作为声学接收敏感元件,设计并制作了一种球形耐压水听器。首先对其低频开路接收灵敏度和谐振频率等声学特性进行了分析和有限元仿真,然后对其强度和稳定性等耐压性能进行了分析和有限元仿真,最后对其声学性能和耐压能力进行了测试。测试表明,该球形耐压水听器的直径为36 mm,工作频段为50 Hz10 kHz,低频接收灵敏度为􀀀198:4 dB(0 dB=1 V/Pa),等效自噪声谱级为46.5 dB@1 kHz,其耐压深度可达3000 m。该耐压水听器为大深度水听器设计提供了参考,在深水声学领域具有重要的应用价值。

关 键 词:压电球壳  耐压  水听器
收稿时间:2019/3/27 0:00:00
修稿时间:2020/2/28 0:00:00

An implementation approach of fractional Fourier transform with bandpass sampling in the underwater echoes processing
Zhan Fei,Ma Xiaochuan and Wu Yongqing.An implementation approach of fractional Fourier transform with bandpass sampling in the underwater echoes processing[J].Applied Acoustics,2020,39(2):268-274.
Authors:Zhan Fei  Ma Xiaochuan and Wu Yongqing
Institution:Key Laboratory of Information Technology for Autonomous Underwater Vehicles,Institute of Acoustics,Chinese Academy of Sciences,University of Chinese Academy of Sciences;Key Laboratory of Information Technology for Autonomous Underwater Vehicles,Institute of Acoustics,Chinese Academy of Sciences,University of Chinese Academy of Sciences;Key Laboratory of Information Technology for Autonomous Underwater Vehicles,Institute of Acoustics,Chinese Academy of Sciences
Abstract:Linear frequency modulated (LFM) signal is usually been used for underwater target detection in active sonar system. Fractional Fourier transform (FrFT) method has unique advantage when processing the LFM echos to obtain effective estimations of target parameters in a low SNR or high reverberation environments. A common strategy to improve the range and velocity resolution of active sonar system is to increase time bandwidth product of the transmitted signal. Then the computation complexity of method increases dramatically, especially the FrFT-based data processing method with Nyquist sampling. As a result, the method can hardly meet the real-time requirements of unmanned underwater vehicle (UUV) with constraints on the volume and power consumption. To address the problem, we proposed an approach to implement the FrFT method with band-pass sampling. By modifying the projection of time-frequency characteristic line of LFM signal on fractional domain, correct estimations of target parameters can be obtain by using FrFT method to process echo data with band-pass sampling. The processing results of simulation data and experimental data of UUV prove the validity of the method, and the corresponding data processing time can meet the real-time requirements of UUV.
Keywords:Bandpass sampling  Fractional Fourier transform  Linear frequency modulated  Active sonar system
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