Real-time positioning technology of train based on optical fiber coherent Rayleigh backscattering北大核心CSCD

With the rapid growth of railway mileage in China, the degree of heavy load of railway wagons continues to increase. An interference technology based on Rayleigh backscattering signal in optical fiber was proposed by using existing communication optical cables along railway lines. When the fiber vibrated slightly, the phase and refractive index of the fiber at disturbed position changed, which resulting in the Rayleigh backscattering light. By performing differential calculation on the Rayleigh signal curves before and after the operation, the location of the interference light intensity signal corresponded to the location of the disturbances was obtained. Based on this method, the recognition and positioning of railway vehicles were realized. By collecting and analyzing the time-domain and frequency-domain signal, the signal strength, train length, the number of carriages and other characteristics were extracted, and the model of railway vehicles were accurately recognized. Compared with traditional positioning technologies, this technology could realize long-distance monitoring, and the sensing fiber was buried underground on both sides of the railway, which was conducive to the concealment and protection of optical fiber. Experimental results show that the positioning error of the system is within ±10 m, and the detection of railway speed and position within 25 km can be realized. © 2022 Editorial office of Journal of Applied Optics. All rights reserved.     

水听器阵共模干扰抵消研究

硬件电路设计不当等原因将会导致水听器前放电路中存在共模干扰,水听器阵共模干扰将会"污染"A/D采样信号,从而对声纳目标探测与跟踪及其他后续处理造成困扰。在实际的声纳系统中,最好是采用硬件预处理的方式避免共模干扰,但对于已经被污染了的采集数据而言,则只能通过干扰抵消等信号处理的方式对被"污染"了的原始数据加以修复或还原。本文对水听器阵共模干扰特性进行了详细分析,并根据其干扰特性,提出了基于错位相减技术和基于独立分量分析的两种干扰抵消方法。湖试数据处理结果验证了本文方法的可行性。