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作 者:梅迪 王可暄[2] 杜昱岐 王佳 李党娟[1] 吴慎将[1] MEI Di;WANG Kexuan;DU Yuqi;WANG Jia;LI Dangjuan;WU Shenjiang(School of Optoelectronic Engineering,Xi’an Technological University,Xi’an 710021,China;Shaanxi Applied Physics and Chemistry Research Institute,Xi’an 710061,China)
机构地区:[1]西安工业大学光电工程学院,西安710021 [2]陕西应用物理化学研究所,西安710061
出 处:《自动化与仪器仪表》2023年第3期13-17,25,共6页Automation & Instrumentation
基 金:国防科技重点实验室基金(6142602200407,WDYX21614260204)。
摘 要:针对目前光子多普勒测速信号传统解调方法解算效率低、需要频繁人工交互、只能离线处理的问题,提出了一种基于图像处理的自适应光子多普勒信号速度解调方法。通过对光子多普勒信号特征分析截取有效段、自适应选定短时傅里叶变换窗口长度,使用设置能量阈值与直方图均衡的方法滤除噪声增强对比度,使用canny算子提取差频曲线边缘,最后经过图像断点连接和曲线细化得到差频曲线解调出目标体速度。实验表明,在设定参数合适的情况下,该方法能够自适应高效地完成多普勒信号速度解调。Aiming at the problem that the traditional demodulation method of photon Doppler velocimetry signal in the electric explosion-driven small flying chip velocimetry is inefficient and requires frequent manual interaction, an adaptive photon Doppler signal velocity demodulation method based on image processing is proposed. By analyzing the characteristics of photon Doppler signals to intercept the effective segment, adaptively selecting the short-time Fourier transform window length, using the method of setting energy threshold and histogram equalization, filtering out noise and enhancing contrast, using the Canny operator to extract the edge of the difference frequency curve, and finally the difference frequency curve demodulation through image breakpoint connection and curve refinement to demodulate the target body velocity. Experiments show that the method can adaptively and efficiently complete the speed demodulation of Doppler signals under the condition that the set parameters are appropriate.
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