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您的检索式：作者名="ZHAO Hangfang"
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| 1 | Detection of objects underneath the water-sediment interface based on time reversal processing显示文摘用与传播和接收的相互作用集中的时间颠倒的技术在高度回响的环境检测一个目标的存在和缺席的假设测试被学习。与传播和接收的相互作用集中的时间颠倒(TR ) 如下:PS (探查来源) 在对象附近被定位产生信号, SRA (来源接收装置数组) 收到 PS 播送的信号并且由物理 TR 集中在对象的地点集中信号(即,有补偿的多路径的反的 beamforming ) 。TR 传播数组和接收数组交互地集中与算法的 TR 集中由目标散布的回响(即,有补偿的多路径的 beamforming ).Meanwhile 常规 BS (舷侧) 传播察觉和 TR 察觉被比较。实验在实验室波导被进行证明理论分析和结果。因而 TR 察觉得到更多比常规 BS 传播察觉逼近 echo-to-reverberation 比率。 | YAN Liming LI Jianlong PAN Xiang ZHAO Hangfang ZHU Hengnian | 2009 | Chinese Journal of Acoustics2009，28，4： | 1 |
| 2 | Delay-Doppler deconvolution image formation for multiple targets in waveguide environment显示文摘The ranges and radial velocities of targets are interesting parameters in the active sonar, which can't be observed directly but can only be estimated. Firstly, by making use of the delay-Doppler model of multi-targets in waveguide multipath environment, one finds that sample cross-ambiguity function is a two-dimensional(2D) convolution of the auto-ambiguity function of the transmitted signal with the generalized target reflectivity density, which is a 2D convolution of the spread function of channel with the reflectivity density as well. Secondly,from the perspective of information theory, an iterative deconvolution algorithm named R-L(Richardson-Lucy) is derived based on minimum Csiszar discrimination criterion. Finally, the blurs caused by both of the transmitted signal and channel are removed by 2D deconvolution of the expectation of sample cross-ambiguity function, 2D image and then parameters of time-delay and Doppler is estimated sequentially. Results of both numerical simulation and sea experimental data processing verify the feasibility and effectiveness of R-L deconvolution algorithm, which effectively improves the resolution and precision of the time delay and Doppler estimation, when compared to the classical match filtering and Wiener filtering. | ZHAO Hangfang LI Chunxiao GONG Xianyi ZENG Xiaohui | 2017 | Chinese Journal of Acoustics2017，36，4： | 0 |
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