CN116683986B - Ghost image identification method, system and medium of optical time domain reflectometer - Google Patents
Ghost image identification method, system and medium of optical time domain reflectometer Download PDFInfo
- Publication number
- CN116683986B CN116683986B CN202310978309.7A CN202310978309A CN116683986B CN 116683986 B CN116683986 B CN 116683986B CN 202310978309 A CN202310978309 A CN 202310978309A CN 116683986 B CN116683986 B CN 116683986B
- Authority
- CN
- China
- Prior art keywords
- ghost
- estimated
- time domain
- otdr curve
- domain reflectometer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000003287 optical effect Effects 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000005070 sampling Methods 0.000 claims abstract description 22
- 238000004364 calculation method Methods 0.000 claims abstract description 15
- 238000000253 optical time-domain reflectometry Methods 0.000 claims abstract 18
- 238000004590 computer program Methods 0.000 claims description 16
- 238000002347 injection Methods 0.000 claims description 14
- 239000007924 injection Substances 0.000 claims description 14
- 238000002310 reflectometry Methods 0.000 claims description 8
- 238000012360 testing method Methods 0.000 claims description 7
- 239000013307 optical fiber Substances 0.000 description 12
- 238000010586 diagram Methods 0.000 description 7
- 239000000243 solution Substances 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000001514 detection method Methods 0.000 description 4
- 230000007547 defect Effects 0.000 description 3
- 238000012356 Product development Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 238000010420 art technique Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/07—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
- H04B10/071—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using a reflected signal, e.g. using optical time domain reflectometers [OTDR]
Abstract
The application discloses a ghost identification method, a system and a medium of an optical time domain reflectometer, wherein the method comprises the following steps: acquiring an OTDR curve; quantitatively calculating a reflection event in the OTDR curve; estimating ghost in the OTDR curve according to a calculation result; comparing the estimated ghost with the OTDR curve, and judging the sampling peak as the ghost when the matching degree of the estimated ghost and the sampling peak meets the preset condition. The application can effectively avoid misjudgment and improve the ghost identification accuracy.
Description
Technical Field
The present application relates to the field of optical fiber detection technologies, and in particular, to a method, a system, and a medium for identifying ghosts in an optical time domain reflectometer.
Background
The optical time domain reflectometer OTDR (Optical Time Domain Reflectometer) is a precise photoelectric integrated instrument manufactured by collecting Rayleigh scattering and Fresnel reflection generated when an optical pulse is transmitted in an optical fiber, is widely applied to maintenance and construction of an optical cable line, and can be used for measuring the length of the optical fiber, transmission attenuation of the optical fiber, joint attenuation, fault positioning and the like.
In OTDR curves, special spikes sometimes occur, which do not cause fresnel reflections due to mechanical connections or breaks at the corresponding locations of the fibers, but rather cause secondary and more reflections due to large fresnel reflections at a point in the fiber line. These spikes do not correspond to true joints or points of failure, and may cause false positives if not discerned.
For the problem of ghosting, the current more common identification method is based on two features of ghosting: 1. no obvious loss is caused at the ghost position on the curve; 2. the distance along the curve from the beginning is a multiple of the distance of the strong reflection event from the beginning. However, in actual engineering, the above two criteria sometimes fail: when the ghost appears at the end, the ghost is positioned in a curve noise area, whether obvious loss is caused or not cannot be judged, and the first criterion fails; when there are multiple strong reflection events between the ghost and the beginning, the ghost may reflect multiple times each other, the position where the ghost occurs may not be just a multiple of the distance between the strong reflection and the beginning, and the second criterion fails; at the same time, the true reflection event may happen to be at a position which is a multiple of the distance between the strong reflection and the beginning, and the second criterion may fail.
Disclosure of Invention
In order to overcome the defects in the prior art, the application provides a ghost identification method, a system and a medium of an optical time domain reflectometer, which are used for improving the identification accuracy of the ghost.
According to an aspect of the present disclosure, there is provided a ghost identification method of an optical time domain reflectometer, including:
acquiring an OTDR curve;
quantitatively calculating a reflection event in the OTDR curve;
estimating ghost in the OTDR curve according to a calculation result;
comparing the estimated ghost with the OTDR curve, and judging the sampling peak as the ghost when the matching degree of the estimated ghost and the sampling peak meets the preset condition.
According to the technical scheme, the size and the position of the possible ghost are obtained through quantitative calculation of the reflection event in the OTDR curve, the estimated result of the ghost is compared with the OTDR curve, and if the matching degree of the estimated ghost and the sampling peak reaches a threshold value, the ghost is judged.
As a further technical scheme, the estimated ghosts are one or more. When fresnel reflection generated by the optical fiber link is large, ghosts may appear at corresponding positions, so that misjudgment occurs and final event reporting is affected.
As a further technical solution, the method further includes: the reflectivity at each reflection event in the OTDR curve is calculated. The reflectivity is calculated here to calculate the reflected power at each reflection event, because the power value of the ghost may be weak, and exceeds the lower limit of the detection dynamic range of the OTDR, so that it is not reflected on the OTDR curve.
As a further technical solution, the method further includes: and calculating estimated ghosts of the corresponding reflection event according to the reflectivity. The estimated ghost calculated here includes the size and position of the estimated ghost.
As a further technical solution, the method further includes: calculating a first reflected power at the original reflected event; calculating a second reflected power of the first reflected light back transmitted to the occurrence of the previous reflection event; calculating third reflected power generated by reflecting the second reflected light back to the original reflecting event; calculating the power of the third reflected light transmitted back to the injection end to obtain the estimated ghost power (namely the power of the secondary reflection of the original reflection event on the OTDR curve); and obtaining the position of the estimated ghost on the OTDR curve according to the positions of the two reflection events and the time of occurrence of secondary emission.
According to the technical scheme, aiming at the situation that the Fresnel reflection at a certain point in the optical fiber line causes secondary emission, the possible ghost power is estimated based on the principle that the ghost occurs, and the position of the ghost is estimated by combining the time point when the ghost power appears on the OTDR, so that the size and the position of the ghost which can exist are obtained.
As a further technical solution, the method further includes:
if sampling peaks appear at the position where the estimated ghost appears on the OTDR curve, calculating the ghost power of the estimated ghost appearance position;
and comparing the calculated ghost power with the estimated ghost power, and judging the reflection at the current estimated ghost reflection as the ghost when the absolute value of the difference value of the calculated ghost power and the estimated ghost power is smaller than the matching degree threshold value.
Because the ghost appears as a peak in the OTDR curve, the estimated ghost is matched with the sampling peak, and when the positions of the estimated ghost and the sampling peak coincide and the power is equivalent, the estimated ghost can be judged as a real ghost.
Further, if the absolute value of the power difference between the estimated ghost and the sampling peak does not meet the condition, the peak position is judged as a real event.
As a further technical scheme, the matching degree threshold is obtained according to scene test data statistics of the OTDR device. The matching degree threshold is related to the detection linearity and calculation error of the OTDR, multiple multi-scene tests can be carried out in the product development stage in actual operation, and a reasonable threshold is given according to the statistical result of test data.
According to an aspect of the present description, there is provided a ghost identification system of an optical time domain reflectometer, comprising an optical time domain reflectometer and an electronic device connected to each other, the electronic device being configured to perform:
acquiring an OTDR curve;
quantitatively calculating a reflection event in the OTDR curve;
estimating ghost in the OTDR curve according to a calculation result;
comparing the estimated ghost with the OTDR curve, and judging the sampling peak as the ghost when the matching degree of the estimated ghost and the sampling peak meets the preset condition.
According to an aspect of the present description, there is provided a computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the ghost identification method of an optical time domain reflectometer.
Compared with the prior art, the application has the beneficial effects that:
the method obtains the size and the position of the possible ghost generated by the quantitative calculation of the reflection event in the OTDR curve, compares the estimated result with the OTDR curve, and judges the ghost if the matching degree of the estimated ghost and the sampling peak reaches a threshold value. Compared with the prior art, the method can effectively avoid the defects that no obvious loss is caused at the ghost position on the curve, and the distance between the ghost and the starting end along the curve is a multiple of the distance between the strong reflection event and the starting end, and obviously improves the identification accuracy of the ghost.
Drawings
Fig. 1 is a flowchart illustrating a ghost identification method of an optical time domain reflectometer according to an embodiment of the present application.
Fig. 2 is a schematic diagram of the optical fiber link at each reflection event in accordance with an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made more apparent and fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the application are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application.
In order to make up for the defects of the existing ghost identification method, the method obtains the size and the position of the possible ghost generated by the method through quantitative calculation of the reflection event in the OTDR curve, compares the estimated result with the OTDR curve, and judges the ghost as if the matching degree of the estimated ghost and the sampling peak reaches a threshold value.
As shown in fig. 1, the ghost identification method of the optical time domain reflectometer includes:
acquiring an OTDR curve;
quantitatively calculating a reflection event in the OTDR curve;
estimating ghost in the OTDR curve according to a calculation result;
comparing the estimated ghost with the OTDR curve, and judging the sampling peak as the ghost when the matching degree of the estimated ghost and the sampling peak meets the preset condition.
The OTDR uses its laser source to send an optical pulse to the tested optical fiber, the optical pulse will have optical signals reflected back to the OTDR on the optical fiber itself and each characteristic point, the reflected optical signals are coupled to the receiver of the OTDR through a directional coupler, and converted into electric signals, and the OTDR curve and each event point characteristic parameter are obtained through the relevant data analysis. When fresnel reflection generated by the optical fiber link is large, ghosts may appear at corresponding positions, so that misjudgment occurs and final event reporting is affected. The application starts from the principle of ghost occurrence, and gradually deduces to obtain a ghost identification method based on ghost estimation.
As an embodiment, a specific implementation of the method is as follows.
1. Calculating reflectivity R at each reflection event in a link
Taking the L1 position in FIG. 2 as an example, the reflectivity R1 is calculated as follows
Wherein:
: the superposition value of the rayleigh backscattering and fresnel reflection generated at L1 is transmitted back to the optical power of the injection end;
: the rayleigh backscattering generated at L1 returns the optical power at the injection end, which can be estimated from a linear curve before reflection at L1 occurs;
: injecting pulse power;
: line loss from the injection end to L1.
2. Predicting ghosts for each reflection event
Take the example of a reflection at L2 reaching L1 and returning again to L2 to produce a reflection
First calculate the reflected power at L2：
Wherein:
: the superposition value of the rayleigh backscattering and fresnel reflection generated at L2 is transmitted back to the optical power of the injection end;
: the rayleigh backscattering generated at L2 returns the optical power at the injection end, which can be estimated from a linear curve before reflection at L2 occurs;
: line loss from the injection end to L2.
RecalculatingReflected power of the reflection at L1 +.>：
Wherein:
: line loss from L1 to L2;
: reflectivity at L1 position.
RecalculatingReflected power +.generated by the occurrence of the secondary reflection at L2>：
。
Calculating reflectionPower returned to the injection terminal>：
。
The power ofI.e. representing the ghost power estimate.
The reflection at L2 is transmitted back to L2 after being transmitted through L1, and the secondary reflection is transmitted back to the injection end and reflected on the OTDR curve, and the corresponding position is that。
Specifically, the reflection generated at the L2 position goes to the L1 position along the optical link, and is reflected again at the L1 position, and the reflected signal returns to the L2 position along the optical fiber, and returns to the receiving end along the optical fiber after being reflected at the L2 position. The OTDR curve we obtain is actually a function of the optical signal received by the receiver along the time axis, on the curveThe peak seen by the location is not meant to be in the optical link +.>The position is reflected but the receiving end is +.>At the point in time corresponding to the location, a peak power is detected, which is known as ghosting.
If the secondary reflection power at the L2 position is strong enough, the tertiary reflection will continue to occur at the position, and the estimated tertiary reflection is similar to the secondary reflection, and the calculation process is as follows, taking the tertiary reflection occurring at the L2 position as an example.
As shown in FIG. 2, the reflected power from the secondary reflection at L2 has been obtained when the secondary reflection was calculated as aboveOn the basis of which +.>Reflected power of the reflection at L1 +.>：
RecalculatingReflected power +.generated by tertiary reflection at L2>：
Calculating reflectionPower returned to the injection terminal>：
The secondary reflection at L2 is transmitted back to L2 after being transmitted through L1, the tertiary reflection at L2 is transmitted back to the injection end and reflected on the OTDR curve, and the corresponding position is。
3. Comparing the estimated ghost with the OTDR curve to identify the ghost
By the above estimation of the reflection at L2Ghosting of position as an example, if in the OTDR curve +.>If a peak appears, the following calculation is performed:
calculation ofPosition ghost power->：
Wherein:
: at->The Rayleigh backscattering at the position is transmitted back to the superposition value of the optical power and the ghost at the injection end;
: at->The Rayleigh backscattering at this point returns the optical power at the injection end, which can be achieved by +.>A linear curve before the ghost peak is estimated. The estimation process may be implemented using prior art techniques,and will not be described in detail herein.
The calculated ghost power is calculated according to the following formulaAnd the ghost power estimation value +.>If the comparison is made, the reflection at that position can be determined to be a ghost if the condition is satisfied.
Wherein:
: a threshold of matching of the predicted value to the actual test value.
It should be noted that, the matching degree threshold is related to the detection linearity and calculation error of the OTDR, multiple multi-scenario tests can be performed in the product development stage in actual operation, and a reasonable threshold is given according to the statistical result of the test data.
Further, if the condition is not met, the peak position is determined to be a true event.
Alternatively, if in an OTDR curveIf no peak appears, the false judgment that the ghost is regarded as a real event does not appear, and the processing can not be performed.
The application also provides a ghost identification system of an optical time domain reflectometer, comprising the optical time domain reflectometer and an electronic device which are connected with each other, wherein the electronic device is configured to execute:
acquiring an OTDR curve;
quantitatively calculating a reflection event in the OTDR curve;
estimating ghost in the OTDR curve according to a calculation result;
comparing the estimated ghost with the OTDR curve, and judging the sampling peak as the ghost when the matching degree of the estimated ghost and the sampling peak meets the preset condition.
The system may be implemented by adopting the embodiment of the foregoing method, which is not described herein.
The electronic device comprises a processor, a memory, and a network interface connected via a system bus, wherein the memory may be
Including non-volatile storage media and internal memory. The non-volatile storage medium may store an operating system and a computer program. The method comprises
The computer program comprises program instructions which, when executed, cause the processor to perform the steps of any of the methods for ghost identification of an optical time domain reflectometer.
The processor is used to provide computing and control capabilities to support the operation of the entire electronic device. The internal memory is a nonvolatile memory
The execution of a computer program in a storage medium provides an environment, which when executed by a processor, causes the processor to perform the steps of any of the methods for identifying ghosts of an optical time domain reflectometer.
The network interface is used for network communication such as transmitting assigned tasks and the like. It should be appreciated that the processor may be
A central processing unit (CentralProcessingUnit, CPU), which may also be other general purpose processors, digital
A signal processor (DigitalSignalProcessor, DSP), an application specific integrated circuit (ApplicationSpecificIntegratedCircuit, ASIC), a Field programmable gate array (Field-ProgrammableGateArray, FPGA) or other programmable logic device, a discrete gate or transistor logic device, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application also provides a computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the ghost identification method of the optical time domain reflectometer.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced with equivalents; these modifications or substitutions do not depart from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present application.
Claims (9)
1. A method for identifying ghosts of an optical time domain reflectometer, characterized in that, starting from a true reflection event, active ghosts are identified without depending on loss characteristics at ghosts on an OTDR curve, the method comprising:
acquiring an OTDR curve;
quantitatively calculating a reflection event in the OTDR curve;
estimating ghost in the OTDR curve according to a calculation result;
comparing the estimated ghost with the OTDR curve, and judging the sampling peak as the ghost when the matching degree of the estimated ghost and the sampling peak meets the preset condition.
2. A method of identifying ghosts in an optical time domain reflectometer as in claim 1 wherein the estimated ghosts are one or more.
3. A method of ghost identification in an optical time domain reflectometer as in claim 1, further comprising: the reflectivity at each reflection event in the OTDR curve is calculated.
4. A method of ghost identification in an optical time domain reflectometer as in claim 3, further comprising: and calculating estimated ghosts of the corresponding reflection event according to the reflectivity.
5. A method for identifying ghosts in an optical time domain reflectometer as in claim 4 further comprising: calculating a first reflected power at the original reflected event; calculating a second reflected power of the first reflected light back transmitted to the occurrence of the previous reflection event; calculating third reflected power generated by reflecting the second reflected light back to the original reflecting event; calculating the power of the third reflected light transmitted back to the injection end to obtain estimated ghost power; and obtaining the position of the estimated ghost on the OTDR curve according to the positions of the two reflection events and the time of occurrence of secondary emission.
6. A method of ghost identification in an optical time domain reflectometer as in claim 5, further comprising:
if sampling peaks appear at the position where the estimated ghost appears on the OTDR curve, calculating the ghost power of the estimated ghost appearance position;
and comparing the calculated ghost power with the estimated ghost power, and judging the reflection at the current estimated ghost reflection as the ghost when the absolute value of the difference value of the calculated ghost power and the estimated ghost power is smaller than the matching degree threshold value.
7. The method for identifying ghosts of an optical time domain reflectometer according to claim 5, wherein the matching degree threshold is obtained according to scene test data statistics of an OTDR device.
8. A system for ghost identification of an optical time domain reflectometer, characterized in that, starting from a true reflection event, active ghost identification is performed independent of loss characteristics at the ghost on an OTDR curve, the system comprising an optical time domain reflectometer and an electronic device connected to each other, the electronic device being configured to perform:
acquiring an OTDR curve;
quantitatively calculating a reflection event in the OTDR curve;
estimating ghost in the OTDR curve according to a calculation result;
comparing the estimated ghost with the OTDR curve, and judging the sampling peak as the ghost when the matching degree of the estimated ghost and the sampling peak meets the preset condition.
9. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, wherein the computer program, when executed by a processor, implements the steps of the ghost identification method of an optical time domain reflectometer as claimed in any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310978309.7A CN116683986B (en) | 2023-08-04 | 2023-08-04 | Ghost image identification method, system and medium of optical time domain reflectometer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310978309.7A CN116683986B (en) | 2023-08-04 | 2023-08-04 | Ghost image identification method, system and medium of optical time domain reflectometer |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116683986A CN116683986A (en) | 2023-09-01 |
| CN116683986B true CN116683986B (en) | 2023-10-27 |
Family
ID=87779593
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310978309.7A Active CN116683986B (en) | 2023-08-04 | 2023-08-04 | Ghost image identification method, system and medium of optical time domain reflectometer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116683986B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111130635A (en) * | 2019-12-13 | 2020-05-08 | 国网西藏电力有限公司 | Method and system for distinguishing optical fiber connector box and ghost on optical time domain reflectometer |
| CN111667419A (en) * | 2020-05-15 | 2020-09-15 | 煤炭科学技术研究院有限公司 | Moving target ghost eliminating method and system based on Vibe algorithm |
| WO2021082522A1 (en) * | 2019-11-01 | 2021-05-06 | 华为技术有限公司 | Optical fiber testing method based on optical time-domain reflectometer, and optical time-domain reflectometer |
| WO2022094945A1 (en) * | 2020-11-06 | 2022-05-12 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method and apparatus for tone mapping, and computer usable medium storing software for implementing the method |
| WO2022204428A1 (en) * | 2021-03-24 | 2022-09-29 | Aeva, Inc. | Techniques for ghosting mitigation in coherent lidar systems using multiple chirp rates |
| CN115343021A (en) * | 2022-08-03 | 2022-11-15 | 阿里巴巴（中国）有限公司 | Ghost effect identification and elimination method and device and electronic equipment |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140093515A (en) * | 2013-01-18 | 2014-07-28 | 한국전자통신연구원 | Apparatus and method for fault identification of optical link monitoring |
| US9632006B2 (en) * | 2013-06-10 | 2017-04-25 | General Photonics Corporation | Distributed fiber bend and stress measurement for determining optical fiber reliability by multi-wavelength optical reflectometry |
| US9719883B2 (en) * | 2013-06-10 | 2017-08-01 | General Photonics Corporation | Devices and methods for characterization of distributed fiber bend and stress |
| US9752955B2 (en) * | 2014-07-31 | 2017-09-05 | Ii-Vi Incorporated | Edge propagating optical time domain reflectometer and method of using the same |
| US11585926B2 (en) * | 2021-03-24 | 2023-02-21 | Aeva, Inc. | Techniques for ghosting mitigation in coherent LIDAR systems using multiple chirp rates |
-
2023
- 2023-08-04 CN CN202310978309.7A patent/CN116683986B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021082522A1 (en) * | 2019-11-01 | 2021-05-06 | 华为技术有限公司 | Optical fiber testing method based on optical time-domain reflectometer, and optical time-domain reflectometer |
| CN111130635A (en) * | 2019-12-13 | 2020-05-08 | 国网西藏电力有限公司 | Method and system for distinguishing optical fiber connector box and ghost on optical time domain reflectometer |
| CN111667419A (en) * | 2020-05-15 | 2020-09-15 | 煤炭科学技术研究院有限公司 | Moving target ghost eliminating method and system based on Vibe algorithm |
| WO2022094945A1 (en) * | 2020-11-06 | 2022-05-12 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method and apparatus for tone mapping, and computer usable medium storing software for implementing the method |
| WO2022204428A1 (en) * | 2021-03-24 | 2022-09-29 | Aeva, Inc. | Techniques for ghosting mitigation in coherent lidar systems using multiple chirp rates |
| CN115343021A (en) * | 2022-08-03 | 2022-11-15 | 阿里巴巴（中国）有限公司 | Ghost effect identification and elimination method and device and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116683986A (en) | 2023-09-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US6674518B1 (en) | Method and apparatus for optical time domain reflectometry (OTDR) analysis | |
| EP3968000A1 (en) | Fiber optic link intermittent fault detection and localization | |
| CN110531348B (en) | Radar ranging method, device, computer equipment and storage medium | |
| CN113595624A (en) | Method for monitoring optical fiber running state | |
| CN110443275B (en) | Method, apparatus and storage medium for removing noise | |
| US20230106273A1 (en) | Long-distance optical fiber detecting method, apparatus, device and system, and storage medium | |
| EP2613207A2 (en) | Adaptive trend-change detection and function fitting system and method | |
| CN114964650B (en) | Gas leakage alarm method and device based on acoustic imaging | |
| CN104378156A (en) | Method and device for accurately locating fault point of optical cable | |
| CN110635840A (en) | Splicing method of bidirectional OTDR test curve | |
| CN116683986B (en) | Ghost image identification method, system and medium of optical time domain reflectometer | |
| CN107209259B (en) | Method and apparatus for ranging | |
| CN110648481B (en) | Calibration method and perimeter alarm device | |
| CN116388858A (en) | Fiber breakage detection method and device based on phase demodulation | |
| US10135524B2 (en) | Method and apparatus for compensating for signal error at transmit end of optical time domain reflectometer | |
| CN111064507A (en) | Method and device for detecting length of optical fiber link and terminal equipment | |
| CN115343021A (en) | Ghost effect identification and elimination method and device and electronic equipment | |
| CN111090133B (en) | Rainfall radar data quality control method | |
| CN114296044A (en) | Laser radar fault diagnosis method and device | |
| JP6230705B2 (en) | Transmission cable characteristic measuring apparatus and transmission cable characteristic measuring method | |
| CN113536057B (en) | Flight path management method and device, computer equipment and storage medium | |
| CN108226877A (en) | Optimize the method, apparatus and storage medium of radar for backing car interference wrong report | |
| WO2023083112A1 (en) | Detection method, detection apparatus, optical fiber system and network device | |
| CN115514412A (en) | Optical fiber testing system, method, electronic device and storage medium | |
| CN117692058A (en) | OTDR non-reflection event positioning method and device based on template matching |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |