喇曼复用OTDR模式识别算法研究
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摘要
为了解决多跨段长传输系统中光纤故障定位不够准确的问题,针对融合光时域反射仪(OTDR)功能的喇曼放大器系统,提出一种定位OTDR曲线中非反射事件的方法。首先将OTDR曲线分割成事件区间和噪声区间,采用三阶差分算法定位事件区间中的突变点。然后利用霍夫变换方法确定差分变换后的检测阈值,该阈值可用于精确滤除突变点区间中的噪声,最后采用模板匹配法,将差分变换后的曲线中的事件识别归集为三角图像边缘检测问题。实验测试结果表明:该方法可进行阈值动态调整,能有效提升事件检测精度。
In order to solve the problem of inaccurate optical fiber fault location in multi-span long transmission system, aimed at the Raman amplifier system which includes optical time domain reflectometer(OTDR) function. This paper proposed a non-reflective event locating algorithm. OTDR trace was divided into event region and noise region first, and a third order difference transformation was applied to locate the discontinuity in the trace. Using Hough transformantion method to calculate the detection threshold after difference transformation, this threshold can be used to precisely filter noise points in the discontinuity region.Finally, the recognition of the event in the trace after difference transformation equals to the recognition of the edge of triangle.Actual test results show that the proposed algorithm can adjust thresholds dynamically and improve location resolution.
In order to solve the problem of inaccurate optical fiber fault location in multi-span long transmission system, aimed at the Raman amplifier system which includes optical time domain reflectometer(OTDR) function. This paper proposed a non-reflective event locating algorithm. OTDR trace was divided into event region and noise region first, and a third order difference transformation was applied to locate the discontinuity in the trace. Using Hough transformantion method to calculate the detection threshold after difference transformation, this threshold can be used to precisely filter noise points in the discontinuity region.Finally, the recognition of the event in the trace after difference transformation equals to the recognition of the edge of triangle.Actual test results show that the proposed algorithm can adjust thresholds dynamically and improve location resolution.
引文
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[3]NISSOV M,ROTTWITT K,KIDORF H D,et al.Rayleigh crosstalk in long cascades of distributed unsaturated Raman amplifiers[J].Electronics Letters,1999,35(12):997-998.
[4]DUWAYNE R A,LARRY M J,FLORIAN G B.Troubleshooting Optical Fiber Networks:Understanding and using optical time-domain reflectometers[M].Waltham:Academic Press,2004.
[5]BLANCHARD P,CLIN R,DUCOS L.Improvement on nonreflective event locating accuracy with OTDR[J].Electronics Letters,1990,31(23):2034-2035.
[6]PHILEN D L,WHITE L A,KUHL J F,et al.Single-Mode Fiber OTDR:Experiment and Theory[J].IEEE Journal of Quantum Electronics,1982,10(18):1499-1508.
[7]BALLARD D H.Generalizing the Hough Transform to detect arbitrary shapes[J].Pattern Recognition,1978,18(10):129-143.
[8]BERGEN J R,SHYAYSTER H.A probabilistic algorithm for computing Hough Transform[J].Journal of Algorithms,1991,12(4):639-656.
[9]ZHOU W C,JIANG W H,LI M,et al.Real-time area correlation tracker implementation based on absolute difference algorithm[J].Optical Engineering(S0091-3286),2003,42(9):2755-2760.
[10]边肇祺.模式识别[M].北京:清华大学出版社,1988.
[11]SCHALKOFF R J.Pattern Recognition:Statistical,Structural and Neural Approaches[M].New York:John Wiley&Sons,1992.
[2]LAFERRIERE J,SAGET M,CHAMPAVERE A.Original method for analyzing multipath networks by OTDR measurement[C]//Conf.on Optical Fiber Communication,Feb.16-21,1997,Taxas,USA.Taxas:OSA,1997:99-101.
[3]NISSOV M,ROTTWITT K,KIDORF H D,et al.Rayleigh crosstalk in long cascades of distributed unsaturated Raman amplifiers[J].Electronics Letters,1999,35(12):997-998.
[4]DUWAYNE R A,LARRY M J,FLORIAN G B.Troubleshooting Optical Fiber Networks:Understanding and using optical time-domain reflectometers[M].Waltham:Academic Press,2004.
[5]BLANCHARD P,CLIN R,DUCOS L.Improvement on nonreflective event locating accuracy with OTDR[J].Electronics Letters,1990,31(23):2034-2035.
[6]PHILEN D L,WHITE L A,KUHL J F,et al.Single-Mode Fiber OTDR:Experiment and Theory[J].IEEE Journal of Quantum Electronics,1982,10(18):1499-1508.
[7]BALLARD D H.Generalizing the Hough Transform to detect arbitrary shapes[J].Pattern Recognition,1978,18(10):129-143.
[8]BERGEN J R,SHYAYSTER H.A probabilistic algorithm for computing Hough Transform[J].Journal of Algorithms,1991,12(4):639-656.
[9]ZHOU W C,JIANG W H,LI M,et al.Real-time area correlation tracker implementation based on absolute difference algorithm[J].Optical Engineering(S0091-3286),2003,42(9):2755-2760.
[10]边肇祺.模式识别[M].北京:清华大学出版社,1988.
[11]SCHALKOFF R J.Pattern Recognition:Statistical,Structural and Neural Approaches[M].New York:John Wiley&Sons,1992.