CN218124710U - 127G-PM-QPSK signal analysis equipment - Google Patents

127G-PM-QPSK signal analysis equipment Download PDF

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CN218124710U
CN218124710U CN202220777608.5U CN202220777608U CN218124710U CN 218124710 U CN218124710 U CN 218124710U CN 202220777608 U CN202220777608 U CN 202220777608U CN 218124710 U CN218124710 U CN 218124710U
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signal
data
extracted
frame
analysis
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肖谱财
吴炜
李峰
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Hunan Bitrecon Network Technology Co ltd
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Hunan Bitrecon Network Technology Co ltd
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Abstract

The invention discloses 127G-PM-QPSK signal analysis equipment, which accesses a coherent signal through a coherent module and sends the coherent signal to an FPGA (field programmable gate array), the FPGA carries out frame synchronization reduction to obtain an original signal frame of an OTU4 and uploads the original signal frame to network management software, the OPU4 is extracted from the original signal frame of the OTU4 through the software, the overhead of the OPUk is analyzed on the basis of the PSI characteristics, so that a client signal packet N of the signal is obtained, a Cm value is calculated according to the client signal packet, load data in the OPU4 is extracted according to the Cm value, all data of each packet are extracted, so that N ODUks are obtained, the payload data in the ODUk are extracted, and effective data are provided according to different mapping modes to obtain the client signal. The ODUflex complex signal grouping analysis method is suitable for ODUflex complex signal grouping analysis, has high accuracy rate, and can provide effective guarantee for signal access of front-end equipment.

Description

127G-PM-QPSK signal analysis equipment
Technical Field
The present invention relates to the field of optical transport networks, and more particularly to 127G-PM-QPSK signal analysis
Background
With the rapid development of the internet technology and the continuous expansion of the service range, the number of users is continuously increased, the requirements of technologies such as the internet of things, cloud computing, big data, mobile internet and the like on a transmission network are complicated, the disadvantages of fixed bandwidth pipelines, fixed rate interfaces and the like of the traditional OTN technology are more obvious, and the requirements of network development cannot be met; the ODUflex is provided to enable the pipeline bandwidth of the OTN technology to be flexible and variable, ensure the efficient utilization of the bandwidth and reduce the transmission cost. Currently, a new optical transport network OTN defines ODUflex containers with two variable rates:
an ODUflex for fixed bit rate (CBR) based services adapts CBR services by synchronously mapping BMP; the rate range is usually divided into three sections, and the three sections are respectively between the ODU1 and the ODU2, between the ODU2 and the ODU3, and between the ODU3 and the ODU 4. Another is GFP, which is between 1.38G and 104.134G, in which the bit rate is theoretically arbitrary and variable, ITU-T recommends an integer number of tributary slots for the smallest HO ODUk channel, i.e., (N × 1.25g, N ∈ [1,80 ]), where N denotes the number of tributary slots occupied by GFP.
The practicability of the second container is highly accepted by various large technical manufacturers along with the continuous development and change of network technology, and the mapping mode is presented in a large number of transmission signals; but also brings some difficulties, the application of ODUflex causes that the previous way of distinguishing the customer signal packets using OPU Payload Structure Identifier (PSI) is not fully applicable; in many transmission signals, there are client signals with the same PSI values and are consecutive but not grouped into the same signal, which presents no minor difficulties for the service output of the head-end equipment.
SUMMERY OF THE UTILITY MODEL
To the above insufficiency in the prior art, the present application provides a device suitable for the ODUflex complex signal packet analysis algorithm.
In order to achieve the practical purpose, the technical scheme adopted by the utility model is as follows:
the utility model discloses an it uploads to network management software to gather OTU4 original signal frame, analyzes the overhead of OTU 4's original signal frame through software to obtain the customer signal packet N of this signal, calculate the Cm value according to customer signal packet, draw the load data in the OPU4 according to the Cm value, draw out every whole data of packet ground, thereby obtain N ODUk, draw out the payload data in the ODUk, can obtain the customer signal.
The beneficial effects of this utility do:
in the prior art, an OPU Payload Structure Identifier (PSI) is adopted to analyze client signal packets, and a part of signals can be analyzed by utilizing the characteristic that PSI values of the client signals of the same packet are identical and continuous; however, with the proposed and widely applied ODUflex, the original analysis method cannot meet the actual requirements, and most signals cannot be completely analyzed. On the basis of this practicality combination PSI characteristic, the cost of reanalysis OPU4, the PSI of customer signal accomplishes to divide into groups completely in OPU4 through the analysis of cost, and the rate of accuracy is higher, and there are about thousands at the signal of user field test access at present, does not discover the condition of grouping the mistake temporarily.
Drawings
Fig. 1 is a hardware platform framework diagram of the present invention.
Detailed Description
In order to make the content of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
As shown in fig. 1, the coherent module sends data to the FPGA through the 168pin interface, restores an OTU4 signal after performing frame synchronization processing in the FPGA, and sends the data to SM2080 network management software through the GE interface.
Software buffers and analyzes data, takes a frame with a multiframe location signal (MFAS) as 0 as a starting point from original OTU4 data, takes PSI of 80 frame data from SPI [2] backward, takes a multiframe identification (OMFI) as 0 as a starting point, takes JC1 value of the 80 frame data, and groups 80 time slots according to the relation between the PSI and the JC value to obtain a group K. Calculating the Cm value of each group, and acquiring K Cm values in a first adjusting period through GMP mapping; and obtaining the Cm value of the next period by obtaining the offset of the Cm of the next period according to the difference of JC values of adjacent adjustment periods, and analogizing each period from now on. And then acquiring the Cm value according to each period, and acquiring the data of each adjustment period through a Sigma/Delta algorithm of a G.709 standard protocol, wherein K ODUk can be obtained through the Cm values of K groups in the mode.
Next, PT in ODUk overhead is used to determine the multiplexing mapping mode, and currently, there are two common mapping modes, one is AMP mapping, and the other is BMP mapping. The client signal in the OPUk is extracted according to different mapping modes, so that correctly grouped services can be obtained, and the common services include three types: 10GE, GFP, SDH.
And next, sending the service data to a corresponding analysis module, and sequentially introducing a processing flow of the analysis module as follows:
10GE signal analysis, because 10GE data adopts a 64B/66B coding mode, a synchronization head must be found first, the synchronization head is composed of '0' and '1' and conforms to binomial distribution, the synchronization head can be regarded as positive distribution under the condition that the data base number is large, the column where the synchronization head is located is obtained by calculating the mathematical expectation of the positive distribution, and the payload data of GE is further extracted. After data is taken out, the data is arranged into a matrix of rows and columns of N66 according to a polynomial G (x) =1+ X 39 +X 58 Descrambling the data part; and after descrambling is finished, extracting packet data from the matrix of N × 66 columns and columns in comparison with a 64B/66B coding table, and then extracting an IP message according to the first-come field and the frame start character of the Ethernet frame, and storing the IP message in a pcap file form so as to restore session information.
GFP signal analysis is performed by finding the core header in the GFP frame, and xoring the core header with the idle frame (0 xB6AB31E 0) of the GFP to obtain the packet length. However, the GFP data frames are not necessarily continuous, and after each frame is extracted, the core header of the next frame needs to be found again, and then xored with the idle frame to extract all the data packets in sequence. The extracted data packets need to be processed according to the polynomial G (X) = X 43 +1 descrambling. After data descrambling, judging the mapping mode of the load part according to the UPI of the GFP, wherein one of the two common mapping modes at present is GFP-F (generic framing procedure) -frame mapping, and the mapping mode is to directly map the Ethernet message into the GFP; in the other mode, GFP-T is a transparent transmission mode, GFP-F is processed to simply and directly extract an IP message to be stored in a pcap file form, data after GFP-T descrambling cannot be directly extracted,the data is further required to be arranged according to 536bit (8 x 65b + 1697B), so that a row matrix of N x 536 can be obtained, a row of data is independently taken to be divided into small matrixes according to 8 rows and 65 columns, each small matrix is used for extracting a data part according to a 64B/65B coding table, the obtained data is decoded according to 8B/10B to obtain an IP message, and the IP message is stored in a pcap file form.
SDH signal analysis, firstly finding a synchronous head (F6F 6F 6282828) in an SDH frame, judging the SDH type through the synchronous head, wherein the common types comprise STM-1, STM-4, STM-16 and STM-64, and because the synchronous head of the SDH signal does not participate in descrambling, a direct data-fetching part is according to a polynomial G (x) =1+ x 6 +x 7 And descrambling the data, wherein the data obtained after descrambling needs to be extracted according to the instruction of the AU-4 pointer to extract the data in the VC-4 and extract the load in the high-order particles.
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.

Claims (2)

1. A127G-PM-QPSK signal analysis device is characterized in that the device conforms to an ATCA frame design, a coherent signal is accessed through a coherent module and is sent to an FPGA, the FPGA carries out frame synchronization reduction to obtain an OTU4 original signal frame which is uploaded to network management software, OPU4 is extracted from the OTU4 original signal frame through the software, the overhead of OPUk is analyzed on the basis of PSI characteristics, accordingly, a customer signal grouping N of the signal is obtained, a Cm value is calculated according to the customer signal grouping, load data in the OPU4 are extracted according to the Cm value, all data in each grouping area are extracted, accordingly, N ODU2 are obtained, the load data in the ODU2 are extracted, and effective data are provided according to different mapping modes to obtain customer signals.
2. The apparatus according to claim 1, wherein: the 127G-PM-QPSK signal analysis equipment can be suitable for ODUflex complex signal grouping analysis, has high accuracy, and simultaneously supports 10GE signal analysis, SDH signal analysis and GFP signal analysis.
CN202220777608.5U 2022-04-06 2022-04-06 127G-PM-QPSK signal analysis equipment Active CN218124710U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202220777608.5U CN218124710U (en) 2022-04-06 2022-04-06 127G-PM-QPSK signal analysis equipment

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Application Number Priority Date Filing Date Title
CN202220777608.5U CN218124710U (en) 2022-04-06 2022-04-06 127G-PM-QPSK signal analysis equipment

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CN218124710U true CN218124710U (en) 2022-12-23

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