CN113271231A

CN113271231A - Detection device, detection method and processor

Info

Publication number: CN113271231A
Application number: CN202010092728.7A
Authority: CN
Inventors: 尚冬冬; 李星; 顾堃
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2020-02-14
Filing date: 2020-02-14
Publication date: 2021-08-17
Anticipated expiration: 2040-02-14
Also published as: WO2021159860A1; CN113271231B

Abstract

The application provides a detection device, a detection method and a processor, which can detect a sending terminal device in a communication system. The detection device mainly comprises a filtering unit and a calculating unit, wherein the filtering unit can acquire a data signal and a noise signal in a signal to be detected, and the signal to be detected is obtained after the signal transmitted by the sending terminal device is transmitted by a communication system. The calculation unit may calculate a signal-to-noise ratio of the signal to be detected according to the data signal and the noise signal, and may determine a detection result of the transmitting end device according to the signal-to-noise ratio of the signal to be detected and a reference signal-to-noise ratio, where the reference signal-to-noise ratio is obtained according to a system bandwidth limit of the communication system. The method and the device can reduce the requirement on the sending terminal equipment and can be better suitable for a communication system with larger system capacity.

Description

Detection device, detection method and processor

Technical Field

The present application relates to the field of communications technologies, and in particular, to a detection device, a detection method, and a processor.

Background

In the field of communications technology, it is often necessary to detect a communication system. For example, the operator may check the communication system before activating the communication system. The communication system is enabled after it is detected to be qualified.

Generally, when detecting a communication system, a transmitting-end device can be detected through the degree of closing of an optical eye of the transmitting-end device. The system capacity of the current communication system is mostly 100G, when detecting the transmitting end device in the communication system, the optical signal transmitted by the transmitting end device can be received at the receiving end of the communication system, and the optical eye closure degree of the transmitting end device is detected according to the received optical signal, namely, the transmitting dispersion eye closure four-phase (TDECQ) is transmitted, so as to determine whether the transmitting end device is qualified according to the obtained TDECQ.

However, with the rise of technologies such as big data and cloud computing, the communication system is forced to increase the system capacity. The method for improving the signal baud rate is the most important method for improving the system capacity, but the improvement of the signal baud rate inevitably causes the signal band limit to be more serious, and the TDECQ cannot fully represent the performance of the sending end equipment, so that the detection standard of the sending end equipment is too high. Therefore, the detection method of the sending-end device is yet to be further researched.

Disclosure of Invention

In view of this, embodiments of the present application provide a detection device, a detection method, and a processor, which can adapt to a change in system capacity of a communication system, and detect a sending-end device more accurately.

In a first aspect, an embodiment of the present application provides a detection device, where the detection device may be used to detect a sending end device in a communication system. Illustratively, the detection device provided by the embodiment of the present application mainly includes a filtering unit and a calculating unit, and the filtering unit is connected to the calculating unit. The filtering unit can acquire a data signal and a noise signal in a signal to be detected, wherein the signal to be detected is obtained after a signal transmitted by the sending terminal equipment is transmitted through a communication system; the calculation unit can calculate the signal-to-noise ratio of the signal to be detected according to the data signal and the noise signal; the calculation unit can determine the detection result of the sending terminal device according to the signal-to-noise ratio of the signal to be detected and a reference signal-to-noise ratio, wherein the reference signal-to-noise ratio is obtained according to the system band limit of the communication system.

Since the reference snr is obtained according to the system band limit of the communication system, the calculating unit can still obtain the reference snr adapted to the system band limit even if the system band limit of the communication system is reduced. For a communication system with a smaller system band limit, the communication system has a larger noise signal added to the output signal of the sending end device, so that a smaller reference signal-to-noise ratio can be adopted to reduce the requirement on the sending end device. Therefore, the detection device provided by the embodiment of the application can be applied to communication systems with different system band limits.

In general, the filtering unit may not be able to directly process the signal to be detected. In view of this, the detection device may further include a sampling unit. The sampling unit is connected with the filtering unit. The sampling unit can receive the signal to be detected and sample the signal to be detected to obtain a sampling signal of the signal to be detected; the filtering unit can further filter the sampling signal of the signal to be detected to obtain a data signal and a noise signal in the signal to be detected.

In the embodiment of the present application, the filtering unit has at least the following two possible implementations:

a first possible implementation: the filtering unit may include a reference signal source, a first filter, a second filter and a first mixer, the second filter being connected to the reference signal source and the first mixer, respectively, and the first mixer being connected to the first filter. The first filter may receive a sampling signal of a signal to be detected, and perform equalization processing on the sampling signal of the signal to be detected to obtain a first signal, where the first signal may include a noise signal and a data signal; the reference signal source may generate a reference signal of the signal to be detected according to the sampling signal of the signal to be detected. The second filter may perform equalization processing on the reference signal to obtain a data signal. The first mixer may derive the noise signal from a difference between the first signal and the data signal.

In the embodiment of the present application, the equalization processing of the sampled signal by the first filter may be the inverse processing of the sampling unit, and thus the first signal may be equivalent to the signal to be detected. Because the sampling unit can eliminate the crosstalk between signals in the signal to be detected in the sampling process, the crosstalk between the signals can be recovered in the first signal through the equalization processing of the first filter. Based on a similar principle, the second filter may add inter-signal crosstalk to the reference signal, thereby obtaining the data signal. Therefore, by adopting the filtering unit provided by the embodiment of the application, the data signal and the noise signal in the signal to be detected can be obtained more accurately, so that the accuracy of the signal-to-noise ratio obtained by calculation can be improved.

In order to further improve the accuracy of the detection device, the filtering unit may further include a first synchronizer, and the first synchronizer is respectively connected to the first filter and the first mixer. The first synchronizer may adjust a delay of the first signal to align the first signal with the data signal. When the first signal after alignment is mixed with the data signal, the first mixer introduces a small error, so that the accuracy of the filtering unit is increased, and the accuracy of the detection equipment is improved.

Illustratively, the first filter and the second filter may both be two-tap [1, c ] filters. In this case, the calculation unit may also obtain the current c value in the first filter and/or the second filter. In general, the current value of c may be obtained by the first filter and/or the second filter according to a system band-limit adaptation of the communication system. The calculating unit may further determine, according to the correspondence between the plurality of c values and the plurality of signal-to-noise ratios, a signal-to-noise ratio corresponding to the current c value as a reference signal-to-noise ratio.

In a second possible implementation manner, the filtering unit may include a reference signal source, a third filter and a second mixer, and the third filter is connected to the reference signal source and the second mixer respectively. The reference signal source may generate a reference signal of the signal to be detected according to a sampling signal of the signal to be detected. The third filter may perform equalization processing on the reference signal to obtain a data signal. The second mixer may receive the signal to be detected and obtain a noise signal based on a difference between the signal to be detected and the data signal. The principle of this implementation is similar to the first possible implementation and is not described again here. Compared with the first implementation, the structure of this implementation is simpler.

Illustratively, the third filter may also be a two-tap [1, c ] filter; in this case, the calculating unit may further obtain a current c value of the third filter, where the current c value may be obtained by the third filter according to a system band-limit adaptation of the communication system; the calculating unit may further determine, according to the correspondence between the plurality of c values and the plurality of signal-to-noise ratios, a signal-to-noise ratio corresponding to the current c value as a reference signal-to-noise ratio.

For the above two implementation manners, the embodiments of the present application further provide examples of the reference signal source. In one possible implementation, the reference signal source may include a decision device, and the decision device may perform a hard decision on the sampled signal to obtain the reference signal. In general, the decision voltage of the decision device may be obtained through OAM testing. The implementation mode is simple in structure and easy to implement.

In another possible implementation manner, the signal to be detected may be obtained by transmitting a preset signal sent by the sending end device through the communication system; in this case, the reference signal source may include a second synchronizer; the second synchronizer may obtain the preset signal, synchronize the preset signal according to the sampling signal, and use the synchronized preset signal as a reference signal. In this implementation, the same preset signal is agreed between the sending end device and the detection device, and therefore the detection device can obtain a more accurate reference signal through the preset signal.

For example, in a possible implementation manner, when determining the detection result of the sending-end device according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio, the calculating unit may obtain a first difference value obtained by subtracting the reference signal-to-noise ratio from the signal-to-noise ratio of the signal to be detected; if the first difference is greater than the first threshold, the calculation unit may determine that the detection of the sending-end device is qualified; and/or if the first difference is not greater than the first threshold, the calculation unit may determine that the sending-end device is unqualified.

In another possible implementation manner, when determining the detection result of the sending-end device according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio, the calculating unit may also compare the relative magnitude relationship between the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio. If the signal-to-noise ratio of the signal to be detected is greater than the reference signal-to-noise ratio, the calculation unit can determine that the detection of the transmitting terminal equipment is qualified; and/or if the signal-to-noise ratio of the signal to be detected is not greater than the reference signal-to-noise ratio, the calculation unit can determine that the detection of the transmitting terminal device is unqualified.

Based on the first difference provided in the embodiment of the present application, the calculating unit may further determine, according to the first difference, a reference SMQ corresponding to the first difference. In subsequent detection of the receiving end device in the communication system, the reference SMQ may be used to detect the receiving end device.

In a second aspect, an embodiment of the present application further provides a detection method, and technical effects of corresponding solutions in the second aspect can refer to technical effects that can be obtained by corresponding solutions in the first aspect, and repeated parts are not described in detail. The detection method can be applied to detection equipment in a communication system. The detection device can detect the sending end device in the communication system by executing the detection method provided by the embodiment of the application. Illustratively, the detection method provided by the embodiment of the present application mainly includes: the method comprises the steps that a detection device obtains a data signal and a noise signal in a signal to be detected, wherein the signal to be detected can be obtained after the signal transmitted by a sending terminal device is transmitted through a communication system; the detection equipment calculates the signal-to-noise ratio of the signal to be detected according to the data signal and the noise signal; the detection device may further determine a detection result of the sending end device according to the signal-to-noise ratio of the signal to be detected and a reference signal-to-noise ratio, where the reference signal-to-noise ratio may be obtained according to a system bandwidth limit of the communication system.

In this embodiment, the detection device may further receive the signal to be detected first, and sample the signal to be detected to obtain a sampled signal of the signal to be detected. And then, filtering the sampling signal of the signal to be detected, thereby acquiring a data signal and a noise signal in the signal to be detected.

In a possible implementation manner, when the detection device filters a sampling signal of a signal to be detected, the detection device may perform equalization processing on the sampling signal of the signal to be detected by using a first filter, so as to obtain a first signal, where the first signal may include a noise signal and a data signal; the detection equipment generates a reference signal of the signal to be detected according to the sampling signal of the signal to be detected; the detection device can further perform equalization processing on the reference signal by using a second filter, so as to obtain a data signal; the detection device then obtains a noise signal based on the difference between the first signal and the data signal.

In order to improve the accuracy of the detection device, the detection device may further adjust a delay of the first signal, align the first signal with the data signal, and obtain the noise signal according to a difference between the first signal and the data signal.

Illustratively, the first filter and the second filter may each be a two-tap [1, c ] filter. The detection device may further obtain a current c value in the first filter and/or the second filter, where the current c value may be obtained by the first filter and/or the second filter in a self-adaptive manner according to a system band limit of the communication system; the detection device may further determine, according to the correspondence between the plurality of c values and the plurality of signal-to-noise ratios, a signal-to-noise ratio corresponding to the current c value as a reference signal-to-noise ratio. Then, the detection device can determine the detection result of the sending terminal device according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio.

In another possible implementation manner, when the detection device filters the sampling signal of the signal to be detected, the detection device may generate the reference signal of the signal to be detected according to the sampling signal of the signal to be detected. The detection device performs equalization processing on the reference signal by using a third filter, so as to obtain a data signal. The detection device may then derive a noise signal from the difference between the signal to be detected and the data signal.

Illustratively, the third filter may be a two-tap [1, c ] filter. The detecting device may further obtain a current c value of the third filter, where the current c value may be obtained by the third filter adaptively according to a system band limit of the communication system. The detection device may further determine, according to the correspondence between the plurality of c values and the plurality of signal-to-noise ratios, a signal-to-noise ratio corresponding to the current c value as a reference signal-to-noise ratio. Then, the detection device can determine the detection result of the sending terminal device according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio.

In the embodiment of the present application, the detection device may obtain the reference signal through at least two possible implementations:

in a possible implementation manner, the detection device may perform hard decision on the sampling signal to obtain the reference signal.

In another possible implementation manner, the signal to be detected may be obtained by transmitting a preset signal sent by the sending end device through the communication system. In this case, the detection device may acquire the preset signal, further synchronize the preset signal according to the sampling signal, and use the synchronized preset signal as the reference signal.

In the embodiment of the application, when the detection device determines the detection result of the sending end device according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio, the detection device may obtain a first difference value obtained by subtracting the reference signal-to-noise ratio from the signal-to-noise ratio of the signal to be detected; if the first difference is greater than the first threshold, the detection device may determine that the detection of the sending-end device is qualified; and/or if the first difference is not greater than the first threshold, the detection device may determine that the detection of the sending-end device is not qualified.

Based on the first difference provided in the embodiment of the present application, after determining the detection result of the sending-end device according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio, the detection device may further determine, according to the first difference, a reference SMQ corresponding to the first difference. In subsequent detection of the receiving end device in the communication system, the reference SMQ may be used to detect the receiving end device.

In a third aspect, embodiments of the present application further provide a processor, where the processor may execute the detection method provided in any one of the second aspects by executing program instructions. The technical effects of the corresponding solutions in the third aspect can be referred to the technical effects that can be obtained by the corresponding solutions in the first aspect, and the repetition parts are not described in detail.

These and other aspects of the present application will be more readily apparent from the following description of the embodiments.

Drawings

Fig. 1 is a schematic diagram of a detection scenario of a sending-end device;

FIG. 2 is a schematic diagram of an equalizer;

FIG. 3 is a diagram illustrating the relationship between SER and white Gaussian noise of a mixed signal;

fig. 4 is a diagram illustrating a corresponding relationship between BER and received power of a signal to be detected;

fig. 5 is a schematic structural diagram of a detection apparatus according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of a detection apparatus according to an embodiment of the present disclosure;

FIG. 7 is a schematic diagram of a sampling scheme provided by an embodiment of the present application;

fig. 8 is a schematic structural diagram of a detection apparatus according to an embodiment of the present disclosure;

fig. 9 is a schematic structural diagram of a detection apparatus according to an embodiment of the present application;

fig. 10 is a schematic diagram illustrating comparison of effects of reference signal sources according to an embodiment of the present application;

fig. 11 is a schematic diagram illustrating a comparison of correspondence between a plurality of c values and a plurality of signal-to-noise ratios according to an embodiment of the present disclosure;

fig. 12 is a schematic structural diagram of a detection apparatus according to an embodiment of the present application;

fig. 13 is a schematic structural diagram of a detection apparatus according to an embodiment of the present disclosure;

fig. 14 is a schematic flowchart of a detection method according to an embodiment of the present application.

Detailed Description

Detecting the performance of a communication system is one of the important means to guarantee the quality of the communication system. For example, to ensure the user experience, the operator may check the performance of the communication system before activating the communication system, and after determining that the performance of the communication system is qualified, the operator activates the communication system. For another example, when the communication system fails, the operator may also perform a detection on the communication system to determine a failed node in the communication system. For another example, the operator may also periodically check the performance of the communication system, to maintain the communication system, and so on.

Generally, detecting performance of a communication system typically includes detecting a transmitting device in the communication system. Fig. 1 schematically illustrates a detection scenario of a sending end device. As shown in fig. 1, a communication system 100 mainly includes a transmitting-end device 101, a transmission path 102, and a detection device 103.

First, sending end equipment 101

The transmitting-end device 101 is a device to be detected in the communication system 100 and can output a communication signal. The communication signal output by the sending-end device 101 may be an optical signal, an electrical signal, a microwave signal, and the like, which is not limited in this embodiment.

Second, transmission path 102

The transmission path 102 may be an optical fiber (optical filter) capable of transmitting a communication signal output by the transmitting-end device 101. Generally, when detecting the transmitting-end device 101, the transmission path 102 may also perform processing such as enhancement and filtering on the communication signal transmitted by the transmitting-end device. Illustratively, the transmission path 102 may include one or more optical devices, such as an optical splitter (optical splitter), a test fiber (test fiber), a variable reflector (variable reflector), etc., which may be used to form the transmission path 102. Taking the test fiber as an example, the test fiber can introduce dispersion during testing, so that the detection condition is more severe and is close to the limit application scenario.

The sending end device 101 may output an optical signal, and the transmission path 102 may further optimize the optical signal transmitted by the sending end device. In addition, the transmission path 102 may further include an optical to electronics (O/E) converter, which may convert an optical signal into an electrical signal and provide the electrical signal to the detection device 103, that is, the signal received by the detection device 103 may be an electrical signal.

Third, detection equipment 103

The detection device 103 may be arranged in place of a receiving end in the communication system 100 (not shown in the figure), and receive the signal output by the sending end device 101 and transmitted via the transmission path 102. The detection device 103 may further analyze the received signal, thereby implementing detection of the sending end device. The signal received by the detection device 103 may also be referred to as a signal to be detected.

It can be understood that the signal to be detected received by the detection device 103 is obtained by transmitting the output signal of the sending-end device 101 through the transmission path 102. That is, the signal to be detected received by the detection device 103 is not only affected by the performance (such as the transmission power, the transmission wavelength, etc.) of the transmitting-end device 101 itself, but also affected by the characteristics of the transmission path 102 (such as the system band limit, which can be understood as the superposition of the device band limit effects of each device in the transmission path 102). Therefore, the detection of the transmitting-end device 101 by the detection device 103 is mainly for detecting whether the performance of the transmitting-end device 101 is applicable to the communication system 100. The system bandwidth limit may also be referred to as a system bandwidth limit, and generally means that a signal is limited by the overall bandwidth of a system device when transmitted in a communication system.

At present, the detection device 103 may calculate a Transmit Dispersion Eye Closure Quality (TDECQ) of the transmitting end device according to a sampling signal of the signal to be detected, and determine whether the performance of the transmitting end device is applicable to the communication system 100 through the calculated TDECQ.

For example, as shown in fig. 1, the detection device 103 may include an oscilloscope, an equalizer, and a processor, where the oscilloscope may sample a signal to be detected to obtain a sampled signal of the signal to be detected. For example, as shown in fig. 1, the communication system 100 may further include a Clock Recovery Unit (CRU), and the CRU may provide a clock signal for the oscilloscope. The oscilloscope can sample the signal to be detected according to the clock signal provided by the CRU, so as to obtain a sampling signal of the signal to be detected.

The processor may add white gaussian noise to the sampled signal of the signal to be detected. The equalizer can perform forward equalization on the sampled signal and the white gaussian noise to obtain a mixed signal. As shown in fig. 2, the equalizer may be a 5-tap forward equalizer (5tap fed forward equalizer, 5tap FFE). The processor may further detect a Symbol Error Rate (SER) or a Bit Error Rate (BER) of the mixed signal.

Taking BER as an example, the processor can adjust the power of the added white Gaussian noise when the BER of the mixed signal reaches a BER threshold (typically 2E-4, 2 × 10)^-4) Then, the processor may calculate the TDECQ of the sending-end device 101 according to the power of the current white gaussian noise. The BER threshold may also be referred to as a pre-correction limit, and is generally a maximum BER that the communication system 100 can apply to.

In the current communication system with the system capacity of 100G, the relationship between the SER of the mixed signal and the white gaussian noise can be as shown in fig. 3. Wherein, the vertical axis represents the SER of the mixed signal, and the horizontal axis represents the variance of the white gaussian noise, and assuming that the SER threshold is 2E-4 in the communication system with the system capacity of 100G, it can be seen from fig. 3 that the variance of the white gaussian noise corresponding to the SER threshold is 0.032. The processor may further calculate the TDECQ of the sending-end device 101 according to the variance of the white gaussian noise corresponding to the SER threshold. Wherein, the variance of the white gaussian noise may be equivalent to the power of the white gaussian noise.

The processor, after obtaining the TDECQ of the sender device 101, may compare the TDECQ of the sender device 101 to a TDECQ threshold. If the TDECQ of the sending-end device 101 is not greater than the TDECQ threshold, the sending-end device 101 is qualified for detection. If the TDECQ of the sending-end device 101 is greater than the TDECQ threshold, the sending-end device 101 is unqualified.

The Gaussian white noise is added into the sampling signal of the signal to be detected, and the equalizer performs forward equalization on the sampling signal and the Gaussian white noise, so that the damage caused by system transmission on the signal to be detected can be eliminated. During operation of the communication system 100, a qualified output signal from the transmitting device 101 is detected, and after the output signal is transmitted to the receiving device via the communication system, the BER of the output signal is not greater than the BER threshold. That is, at present, TDECQ is used to detect the performance of the sending end device 101, so that after the output signal of the sending end device 101 is transmitted to the receiving end device via the communication system, the signal received by the receiving end device still has higher quality.

However, the performance requirement of the sending-end device 101 is too high by adopting the above detection method. When the system capacity of the communication system increases, the system band limit of the communication system deteriorates. For example, increasing the system capacity by increasing the baud rate of the signal may further increase the signal band limit, which may lead to degradation of the system band limit. Therefore, for the transmitting-end device 101 in the large-capacity communication system, the transmission path 102 will add more noise to the transmitting-end device 101, that is, the power of the noise signal in the signal to be detected received by the detecting device 103 is enhanced.

In this case, even if the transmission bandwidth of the transmitting-end device 101 and the reception bandwidth of the detection device 103 are increased to increase the reception power of the signal to be detected as much as possible, the signal to be detected received by the detection device 103 has a large BER (or SER) due to the influence of the noise signal in the signal to be detected.

Taking a 200G Data Communication Network (DCN) as an example, as shown in fig. 4, the vertical axis represents BER of the signal to be detected, and the horizontal axis represents the received power (unit is dBm) of the signal to be detected. The minimum BER that can be achieved by the output signal of the 5tap FFE represented by the square symbol can also be understood as the minimum BER of the signal to be detected that can be detected by the 5tap FFE.

As shown in fig. 4, the minimum BER achieved by 5tap FFE gradually decreases as the received power of the signal to be detected increases. However, even if the received power of the signal to be detected reaches the maximum value of 0, the BER of the signal to be detected can only be reduced to 1E-3(1 × 10)^-3)。

Due to the increase of the BER of the signal to be detected, the technical scheme of detecting the transmitting terminal device 101 by using the TDECQ at present has too severe requirements on the transmitting terminal device 101. Specifically, the processor only needs to add small white gaussian noise to the sampled signal of the signal to be detected, so that the BER of the mixed signal reaches the BER threshold. Because the added Gaussian white noise is small, the TDECQ value calculated by the calculator is too large and exceeds the TDECQ threshold value. Moreover, in the current technical scheme, the Digital Signal Processing (DSP) capability of the receiving end device is ignored, that is, the current receiving end device can optimize the signal quality of the signal to be detected through the DSP, and can fully exert the signal capability. But the detection mode of TDECQ ignores this partial capability. Therefore, the performance of the sending end device 101 and the receiving end device will be wasted due to the TDECQ detection method adopted at present.

In view of this, the present embodiment provides a detection apparatus and a method, and the detection apparatus 103 may use an enhanced equalization technique to detect the sending-end apparatus 101. For example, the detection device 103 may process the signal to be detected by using a maximum-likelihood sequence estimation (MLSE) equalization technique, so as to complete the detection of the transmitting-end device 101.

For example, as shown in fig. 4, the curve represented by the triangular symbol represents the BER of the signal to be detected after processing by the MLSE equalization technique. And processing the signal to be detected by adopting an MLSE (maximum likelihood sequence error) equalization technology to reduce the BER detected by the detection equipment. The minimum can reach 1E-6(1 x 10)^-6). Compared with the BER detected by 5tap FFE, the BER of the signal to be detected is further reduced, and the obtained detection result approaches to the Shannon limit.

By adopting the enhanced equalization technology, the BER of the signal to be detected can be reduced. Therefore, the embodiment of the present application can appropriately reduce the requirement for the sending-end device 101, thereby improving the utilization rate of the performance of the sending-end device 101 and the receiving-end device.

In order to make the objects, technical solutions and advantages of the present application more clear, the present application will be further described in detail with reference to the accompanying drawings. The particular methods of operation in the method embodiments may also be applied to apparatus embodiments or system embodiments. It is to be noted that "at least one" in the description of the present application means one or more, where a plurality means two or more. In view of this, the "plurality" may also be understood as "at least two" in the embodiments of the present invention. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" generally indicates that the preceding and following related objects are in an "or" relationship, unless otherwise specified. In addition, it is to be understood that the terms first, second, etc. in the description of the present application are used for distinguishing between the descriptions and not necessarily for describing a sequential or chronological order.

It should be noted that "connected" in the embodiments of the present application mainly refers to electrical connection, which includes both direct electrical connection and indirect electrical connection. For example, a is connected to B, either by a conductor directly electrically connected to B or by another electrical component (e.g., C).

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

Fig. 5 schematically illustrates a structural diagram of a detection apparatus provided in an embodiment of the present application. As shown in fig. 5, the detection device 103 includes a filtering unit 1031 and a calculation unit 1032.

First, filter unit 1031

The filtering unit 1031 may acquire a data signal and a noise signal in the signal to be detected. In this embodiment, the signal to be detected may be obtained by transmitting the signal transmitted by the transmitting device 101 through the communication system 100. For example, as described above, a signal transmitted by the transmitting end device 101 may be transmitted to the detection device 103 by the transmission path 102 in the communication system 100.

Second, calculating unit 1032

The computing unit 1032 may be a logic circuit, a processor, a microprocessor, etc. with analog-to-digital conversion capability, which is not limited in this application. In this embodiment, the calculating unit 1032 may calculate a signal to noise ratio (SNR) of the signal to be detected according to the data signal Tx _ data and the noise signal err.

For example, the SNR of the signal to be detected can be calculated by using the following formula one:

SNR＝10×log10(I_data/I_err) (formula one)

Wherein, I_dataRepresenting the signal strength, I, of the data signal Tx _ data_errRepresenting the signal strength of the noise signal.

The calculating unit 1032 may further determine the detection result of the transmitting end device according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio. For example, the calculation unit 1032 may compare the relative magnitude relationship between the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio. And if the signal-to-noise ratio of the signal to be detected is greater than the reference signal-to-noise ratio, determining that the detection of the transmitting terminal equipment is qualified. And/or determining that the equipment at the sending end is unqualified if the signal-to-noise ratio of the signal to be detected is not greater than the reference signal-to-noise ratio.

For another example, the calculating unit 1032 may calculate a first difference value obtained by subtracting the reference signal-to-noise ratio from the signal-to-noise ratio of the signal to be detected. If the first difference is greater than the first threshold, it is determined that the sending-end device 101 is qualified for detection. And/or if the first difference is not greater than the first threshold, determining that the sending-end device 101 is unqualified.

It should be noted that, in the embodiment of the present application, the reference signal-to-noise ratio may be obtained according to the system band limit of the communication system 100. Generally speaking, the reference signal-to-noise ratio is positively correlated with the system band limit, and the larger the system band limit is, the larger the reference signal-to-noise ratio is, and the smaller the system band limit is, the smaller the reference signal-to-noise ratio is.

Since the reference snr is obtained according to the system band limit of the communication system 100, the calculation unit 1032 can obtain the reference snr adapted to the system band limit even if the system band limit of the communication system 100 is lowered. Specifically, for the communication system 100 with a larger system bandwidth limit, the noise signal added to the output signal of the sending-end device 101 by the communication system 100 is smaller, so that a larger reference signal-to-noise ratio can be adopted to improve the requirement on the sending-end device 101.

For the communication system 100 with a smaller system band limit, the noise signal added to the output signal of the sending-end device 101 by the communication system 100 is larger, so that a smaller reference signal-to-noise ratio can be adopted to reduce the requirement on the sending-end device 101. Therefore, the detection device 103 provided by the embodiment of the present application can be applied to communication systems with different system bands. The embodiments of the present application can still be applied to communication systems with system capacity up to 200G and above.

Generally, the filtering unit 1031 cannot directly process the signal to be detected, and in view of this, in a possible implementation, as shown in fig. 6, the detecting device 103 may further include a sampling unit 1033. The sampling unit 1033 may be an ffe (n tap ffe) of n taps, n being an integer greater than or equal to 1. The sampling unit 1033 may receive the signal Sig _ in to be detected, and sample the signal Sig _ in to be detected to obtain a sampling signal of the signal to be detected. The filtering unit 1031 may further filter the sampling signal of the signal to be detected, so as to obtain the data signal Tx _ data and the noise signal err in the signal to be detected Sig _ in.

For example, the sampling unit 1033 may periodically detect the signal to be detected. In order to improve the sampling accuracy, the sampling unit 1033 may sample the signal to be detected a plurality of times in each sampling period.

For example, as shown in fig. 7, the signal-to-noise ratio of the signal to be detected fluctuates periodically, generally, the signal-to-noise ratio at the peak is taken as the signal-to-noise ratio of the signal to be detected, and the signal-to-noise ratio corresponding to 0.5 cycle of each cycle is the signal-to-noise ratio of the signal to be detected. For example, the time point of the sampling point 0 is t0, the time point of the sampling point 1 is t1, and the sampling period is 1, then the corresponding signal-to-noise ratios at the time points t0+0.5 and t1+0.5 are the signal-to-noise ratio of the signal to be detected.

However, due to the existence of errors, it is difficult for the sampling unit 1033 to accurately sample at 0.5 cycles, and in order to improve the sampling accuracy, the sampling unit 1033 may sample at 0.45 cycles and 0.55 cycles, respectively.

Specifically, the sampling unit 1033 may provide the filtering unit 1031 with the sampled signal sampled at 0.45 cycle. The filtering unit 1031 filters the sampling signal obtained at the 0.45 cycle to obtain a data signal Tx _ data and a noise signal err. The calculating unit 1032 further obtains a signal-to-noise ratio corresponding to 0.45 period according to the data signal Tx _ data and the noise signal err.

And, the sampling unit 1033 may further supply the sampled signal sampled at 0.55 cycle to the filtering unit 1031. The filtering unit 1031 filters the sampling signal obtained at the 0.45 cycle to obtain a data signal Tx _ data and a noise signal err. The calculating unit 1032 further obtains a signal-to-noise ratio corresponding to 0.55 period according to the data signal Tx _ data and the noise signal err.

The calculating unit 1032 may further use the average value between the snr corresponding to the 0.45 period and the snr corresponding to the 0.55 period as the snr of the signal to be detected.

It is understood that the detection device 103 in the embodiment of the present application may also receive a sampling signal of a signal to be detected provided by other devices. In this case, the detection device 103 may not include the sampling unit 1033, which is not limited in this embodiment.

As can be seen from the above embodiments, the filtering unit 1031 in the embodiment of the present application needs to perform MLSE enhancement on the sampling signal of the signal to be detected, and acquire the data signal Tx _ data and the noise signal err in the signal to be detected. For example, the filtering unit 1031 in the embodiment of the present application may be implemented in at least any one of the following two implementation manners:

implementation mode one

Fig. 8 schematically illustrates a structural diagram of a detection apparatus provided in an embodiment of the present application. As shown in fig. 8, the sampling unit 1033 is an n tap FFE, and the sampling unit 1033 may receive the signal to be detected Sig _ in, sample the signal to be detected Sig _ in, and provide the sampled signal obtained by the sampling unit to the filtering unit 1031.

The filtering unit 1031 includes a reference signal source, a filter 1, a filter 2, and a mixer 1. Wherein, the filter 2 is respectively connected with the reference signal source and the mixer 1, and the mixer 1 is respectively connected with the filter 1 and the filter 2.

The filter 1 may receive a sampled signal of the signal to be detected Sig _ in, and perform equalization processing on the sampled signal of the signal to be detected Sig _ in, so as to obtain the first signal S1. In the embodiment of the present application, the first signal S1 includes the noise signal err of the signal to be detected Sig _ in and the data signal Tx _ data of the signal to be detected Sig _ in.

Equalization processing refers to a technique of canceling a variable introduced in a signal transmission process through signal processing. In the embodiment of the present application, the equalization process of the sampled signal by the filter 1 may be the inverse process of the sampling unit 1033, and thus the first signal S1 may be equivalent to the signal to be detected Sig _ in. Since the sampling unit 1033 eliminates inter-signal interference (ISI) in the signal to be detected during the sampling process. Through the equalization processing of the filter 1, the crosstalk between signals can be recovered in the first signal, so that the accuracy of the calculated signal-to-noise ratio is improved.

The reference signal source may generate a reference signal Tx _ pattern of the signal to be detected Sig _ in according to the sampling signal of the signal to be detected Sig _ in. The reference signal Tx _ pattern can be understood as an output signal of the sending-end device 101, that is, a signal that is required to be output by the sending-end device and is not affected by the environmental factors.

In one possible implementation, the reference signal source may include a determiner (slicer). The decision device may make a hard decision on the sampled signal, thereby obtaining a reference signal Tx _ pattern. Specifically, before detecting the transmitting device 101, an Optical Modulation Amplitude (OMA) test may be performed. Through OMA testing, a decision threshold value suitable for the decision device can be obtained, and then a decision voltage can be set in the decision device according to the decision threshold value. The detailed implementation of OMA testing can be defined by IEEE802.3 institute of Electrical and electronics Engineers (institute of Electrical and electronics engineers), and will not be described in detail herein.

The decision device can make a hard decision on the sampling signal according to the decision voltage. The hard decision means that a decision device directly decides a received sampling signal waveform according to a decision voltage and then outputs specific N levels, wherein N is an integer greater than 1. In other words, there are only N possible values for the symbols in the reference signal Tx _ pattern output by the decision device.

For example, two decision voltages V1 and V2 may be set in the decision device, where V1> V2. When the signal voltage of the sampling signal is greater than or equal to V1, the decision device outputs 2 level; when the signal voltage of the sampling signal is less than V1 and greater than or equal to V2, the decision device outputs 1 level; when the signal voltage of the sampling signal is less than V2, the decision device outputs a 0 level. Through the hard decision of the decision device, a reference signal Tx _ pattern composed of one or more of a 0 level, a 1 level, and a 2 level may be obtained, and a symbol in the reference signal Tx _ pattern may be any one of

values

0, 1, and 2.

In another possible implementation, the sending-end device 101 and the detecting device 103 both have a preset signal therein. The transmitting end device 101 may transmit the preset signal. The predetermined signal is transmitted through the communication system 100 and received as a signal to be detected by the device to be detected 103.

In this case, as shown in fig. 9, the reference signal source includes the synchronizer 2. The synchronizer 2 may obtain the preset signal and synchronize the preset signal according to the sampling signal provided by the sampling unit 1033, so that the synchronized preset signal may be used as a reference signal.

For example, the calculation unit 1032 may provide the preset signal to the synchronizer 2, and other units or devices may also provide the preset signal to the synchronizer 2, which is not limited in this embodiment of the application. The reference signal source is realized through the synchronizer 2 and the preset signal, which is beneficial to obtaining more accurate data signal Tx _ data.

As shown in fig. 10, the abscissa is a time point, and the ordinate is the signal-to-noise ratio of the signal to be detected. As can be seen from fig. 10, in the above two implementation manners of the reference signal source, a signal ratio of the signal to be detected that is relatively close to the signal to be detected can be obtained, and therefore different implementation manners of the reference signal source do not have a large influence on the detection result.

The filter 2 may perform an equalization process on the reference signal Tx _ pattern to obtain the data signal Tx _ data. Similarly to the filter 1, the equalization process of the reference signal Tx _ pattern by the filter 2 may also be the inverse process of the sampling unit 1033. The filter 2 may increase inter-signal crosstalk in the reference signal Tx _ pattern, so that the data signal Tx _ data obtained by the filter 2 is closer to the data signal Tx _ data in the signal to be detected Sig _ in.

In one possible implementation, after obtaining the data signal Tx _ data, the filter 2 may further provide the data signal Tx _ data to the computing unit 1032, so that the computing unit 1032 may calculate the signal-to-noise ratio of the signal to be detected Sig _ in.

The mixer 1 may obtain the noise signal err according to the difference between the first signal S1 and the data signal Tx _ data. The mixer 1 may then provide the noise signal err to the calculation unit 1032, so that the calculation unit 1032 may calculate the signal-to-noise ratio of the signal to be detected Sig _ in. Specifically, the data signal Tx _ data and the noise signal err are included in the first signal S1, and therefore, the mixer can obtain the noise signal err according to the difference between the first signal S1 and the data signal Tx _ data.

For example, the mixer 1 may invert the phase of the data signal Tx _ data output from the filter 2, so that after the data signal Tx _ data and the first signal S1 are mixed, the difference between the first signal S1 and the data signal Tx _ data, that is, the noise signal err, may be obtained.

In order to increase the accuracy of the filtering unit 1031, the filtering unit 1031 may further include a synchronizer 1, as shown in fig. 8. The synchronizer 1 is connected to the filter 1 and the mixer 1, respectively. The synchronizer 1 may adjust the time delay of the first signal S1 to align the first signal with the data signal. The mixer 1 introduces a small error when mixing the aligned first signal S1 with the data signal Tx _ data, thereby being beneficial to increase the accuracy of the filtering unit 1031.

For example, the delay length adjusted by the synchronizer 1 may be obtained according to the structure of the filtering unit 1031. For example, the delay length can be obtained by calculating a time ta at which any signal arrives at the mixer 1 from the sampling unit 1033 through the filter 1 and the synchronizer 1, and a time tb at which the signal arrives at the mixer 1 from the sampling unit 1033 through the reference signal source and the filter 2, and by using the difference between ta and tb.

It can be understood that the delay length may be preset in the synchronizer 1, or preset in the computing unit 1032, the computing unit 1032 controls the delay length in the synchronizer 1, and the computing unit 1032 may detect ta and tb in real time (or periodically) and dynamically adjust the delay length in the synchronizer 1, which is not limited in this embodiment of the application.

In one possible implementation, filter 1 and filter 2 may be two-tap [1, c ] filters. Taking filter 1 as an example, it includes two taps, where the value of the filter coefficient of one tap is 1, and the value of the filter coefficient of the other tap is c, which will be referred to as c value hereinafter. It is understood that, in the two-tap filter, two filter coefficients also satisfy the normalization, which is not limited in this embodiment of the present application.

It is understood that the filter 1 and the filter 2 may adaptively obtain the filter coefficient c according to the system band limit of the communication system 100, that is, the filter 1 and the filter 2 may automatically adjust the value (c value) of the filter coefficient c according to the system band limit of the communication system 100. Thus, the current c values for filter 1 and filter 2 may reflect the current system band limits of communication system 100. The process of adaptively obtaining the filter coefficient c by the filter 1 and the filter 2 may refer to the prior art, and will not be described in detail herein.

In view of this, the calculating unit 1032 in the embodiment of the present application may obtain the reference signal-to-noise ratio by: the calculating unit 1032 obtains the current c value in the filter 1 and/or the filter 2, that is, the calculating unit 1032 may obtain the current c value in the filter 1, may also obtain the current c value in the filter 2, and may also obtain the current c values in the filter 1 and the filter 2 at the same time. Since filter 1 and filter 2 generally have the same c value, calculation section 1032 may acquire the current c value of either filter 1 or filter 2.

The calculating unit 1032 may preset the corresponding relationship between the plurality of c values and the plurality of signal-to-noise ratios, or other devices or units may send the corresponding relationship between the plurality of c values and the plurality of signal-to-noise ratios to the calculating unit 1032, and the like. The calculating unit 1032 may further determine the signal-to-noise ratio corresponding to the current c value as the reference signal-to-noise ratio according to the corresponding relationship between the plurality of c values and the plurality of signal-to-noise ratios.

Generally, the correspondence between the plurality of c values and the plurality of signal-to-noise ratios can be obtained under the pre-correction limit of the communication system. For example, the correspondence between a plurality of c values and a plurality of signal-to-noise ratios may be represented as a curve shown in fig. 11. In fig. 11, the horizontal axis represents the c value and the vertical axis represents the signal-to-noise ratio (in dB).

The 2E-3 curve in FIG. 11 shows that the pre-correction limit for the communication system is 2E-3 (2X 10)^-3) And the curve of 2E-4 represents the corresponding relation between the c value and the signal-to-noise ratio when the pre-correction limit of the communication system is 2E-4. In the current communication system with the system capacity of 100G, the pre-correction limit of the communication system is generally 2E-4. But in future systems with larger system capacity, the pre-correction limit of the communication system may be 2E-3.

For example, the embodiments of the present application define a transmitter dispersion margin Q factor (TDMQ), where the Q factor can be understood as a signal-to-noise ratio of the signal to be detected Sin _ in, denoted by Q (c), and c is a current value of c. Then TDMQ (i.e., the first difference) may satisfy the following equation two:

TDMQ ═ Q (c) -Q _ ideal (c) (formula two)

Wherein, Q _ ideal (c) is the reference snr corresponding to the current c value.

Taking fig. 10 as an example, a sampling period is between-0.1 and 0.1. The sampling unit 1033 samples at 0.45 cycle and 0.55 cycle, that is, at time points-0.01 and 0.01 in fig. 10, assuming that the signal-to-noise ratio of the signal to be detected is 19.2 dB.

Assume that the current value of c is 0.63, i.e., Q (0.63) ═ 19.2 dB. From curve 2E-3 shown in fig. 11, it can be seen that the current c value of 0.63 corresponds to a reference snr of 16.8dB, i.e., Q _ ideal (0.63) ═ 16.8 dB. Therefore, the TDMQ is calculated to be 19.2dB-16.9dB to 2.4 dB.

Continuing with the example of fig. 11, assuming that c is 0.3, the reference snr can be determined to be 16dB from the 2E-3 curve. Assuming that q (c) is 22dB and the first threshold is 4.7dB, then TDMQ is 6dB, and is greater than the first threshold, then the calculation unit 1032 may determine that the transmitting-end device 101 is qualified for detection.

When the TDMQ is greater than the first threshold, it is stated that a higher Q margin can be achieved by setting the transmitting-end device 101 in the communication system 100, and the output signal of the transmitting-end device 101 is transmitted in the communication system 100 and may have a higher signal quality. Therefore, it can be determined that the transmitting-end device 101 is qualified for detection.

In a possible implementation, the first threshold may also correspond to the current value of c. Specifically, as shown in fig. 11, the target curve may represent a correspondence between a plurality of c values and a plurality of minimum signal-to-noise ratios, which may be theoretically used. That is, for any c value, the signal-to-noise ratio of the current signal to be detected is greater than the corresponding minimum signal-to-noise ratio of the current c value in the target curve.

For example, in the above example, assuming that c is 0.3, as can be seen from the target curve, the minimum signal-to-noise ratio corresponding to the current c value is about 20.7dB, and the difference between the minimum signal-to-noise ratio corresponding to the current c value and the reference signal-to-noise ratio corresponding to the current c value is the first threshold corresponding to the current c value.

It is understood that the corresponding relationship between a plurality of c values and a plurality of minimum snr values may be preset in the calculating unit 1032, as shown by the target curve in fig. 11. The calculating unit 1032 may directly determine a relative magnitude relationship between the signal-to-noise ratio of the signal to be detected and the minimum signal-to-noise ratio corresponding to the current c value, which is not limited in this embodiment of the present application.

It is to be understood that the filter 1 and the filter 2 may also be a multi-tap filter with three taps, four taps, etc., which is not listed in the embodiments of the present application.

Implementation mode two

Fig. 12 schematically illustrates a structural diagram of a detection apparatus provided in an embodiment of the present application. For a specific implementation of the sampling unit 1033 and the calculating unit 1032, reference may be made to the first implementation, which is not described herein again.

As shown in fig. 12, the filtering unit 1031 includes a reference signal source, a filter 3, and a mixer 2, wherein the filter 3 is connected to the reference signal source and the mixer 2, respectively.

The reference signal source may generate a reference signal of the signal to be detected Sig _ in according to a sampling signal of the signal to be detected Sig _ in. Similar to the first implementation manner, in a possible implementation manner, the reference signal source may include a decision device, in another possible implementation manner, the reference signal source may include a synchronizer 2 (as shown in fig. 13), and a specific implementation manner of the reference signal source may refer to the first implementation manner, which is not described again.

The filter 3 may perform an equalization process on the reference signal to obtain a data signal Tx _ data. For a specific implementation of the filter 3, reference may be made to the filter 2 described above, which is not described in detail herein.

The mixer 2 may receive the signal to be detected Sig _ in, and obtain a noise signal according to a difference Tx _ data between the signal to be detected Sig _ in and the data signal. It is understood that the signal Sig _ in to be detected and the first signal S1 may be equivalent, and thus, reference may be made to the mixer 1 for specific implementation of the mixer 2, which is not described herein again.

In one possible implementation, as shown in fig. 12, the filtering unit 1031 may further include a synchronizer 3. The input end of the synchronizer 3 is used for receiving a signal Sin _ in to be detected, and the output end of the synchronizer 3 is connected with the mixer 2. The synchronizer 3 may adjust a time delay of the signal to be detected Sig _ in, so that the signal to be detected Sig _ in is aligned with the data signal Tx _ data. The specific implementation of the synchronizer 3 can refer to the synchronizer 1, which is not described in detail herein.

In a possible implementation manner, the filter 3 may also be a two-tap [1, c ] filter, and the filter 3 may also adaptively adjust the value of the filter coefficient c according to the current system bandwidth limit. Therefore, in the second implementation manner, the calculating unit 1032 may still obtain the current c value of the filter 3, and determine the signal-to-noise ratio corresponding to the current c value as the reference signal-to-noise ratio according to the corresponding relationship between the plurality of c values and the plurality of signal-to-noise ratios. For a specific implementation, reference may be made to the first implementation, which is not described herein again.

It is to be understood that the filter 3 may also be a multi-tap filter with three taps, four taps, etc., which is not listed in the embodiments of the present application.

To sum up, the detection device 103 provided in this embodiment of the present application may determine the detection result of the sending end device according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio. The first difference obtained by subtracting the reference signal-to-noise ratio from the signal-to-noise ratio of the signal to be detected may also be referred to as TDMQ. There is a direct connection between TDMQ and TDECQ. TDECQ is the performance required to be achieved after a signal to be detected is added with white Gaussian noise and is subjected to 5tap FFE equalization processing, such as the pre-correction limit 2E-4 (or other BERs). TDMQ is the performance required to be achieved after the signal to be detected is added with noise and is enhanced by MLSE, such as pre-correction limit 2E-3 (or other BER).

Illustratively, the relationship between TDMQ and TDECQ may be as shown in equation three below:

in view of this, according to the direct relationship between the TDMQ and the TDECQ, the TDECQ corresponding to the current TDMQ can be obtained. Further, the SECQ corresponding to the current TDMQ, that is, a reference stress margin Q factor (SMQ) that can be used in a subsequent detection process of the receiving-end device, can be obtained according to a relationship between the current TDECQ and a stress eye closure coefficient (SECQ).

Based on the same technical concept, the embodiment of the present application further provides a detection method, which can be implemented by the detection device 103 provided in any of the foregoing embodiments. It can be understood that, in the technical solutions described in the embodiments of the method of the present application, corresponding principles and technical effects can refer to the content provided in the above-mentioned device embodiments, and details of the embodiments of the present application are not described herein again.

For example, the detection method provided in the embodiment of the present application may be as shown in fig. 14, and mainly includes the following steps:

s1401: the detection device 103 obtains a data signal and a noise signal in a signal to be detected, where the signal to be detected may be obtained after a signal transmitted by the transmitting end device 101 is transmitted through the communication system 100.

S1402: and calculating the signal-to-noise ratio of the signal to be detected according to the data signal and the noise signal.

S1403: the detection result of the sending-end device 101 is determined according to the signal-to-noise ratio of the signal to be detected and a reference signal-to-noise ratio, where the reference signal-to-noise ratio is obtained according to the system bandwidth limit of the communication system 100.

In this embodiment, the detection device 103 may further receive the signal to be detected first, and sample the signal to be detected to obtain a sampled signal of the signal to be detected. And then, filtering the sampling signal of the signal to be detected, thereby acquiring a data signal and a noise signal in the signal to be detected.

In a possible implementation manner, when the detection device 103 filters a sampled signal of a signal to be detected, a first filter may be used to perform equalization processing on the sampled signal of the signal to be detected, so as to obtain a first signal, where the first signal may include a noise signal and a data signal; the detection device 103 generates a reference signal of the signal to be detected according to the sampling signal of the signal to be detected; the detection device 103 may further perform equalization processing on the reference signal by using a second filter, thereby obtaining a data signal; the detection device 103 then derives a noise signal from the difference between the first signal and the data signal.

In order to improve the accuracy of the detection device 103, the detection device 103 may further adjust a time delay of the first signal, align the first signal with the data signal, and obtain the noise signal according to a difference between the first signal and the data signal.

Illustratively, the first filter and the second filter may each be a two-tap [1, c ] filter. The detecting device 103 may further obtain a current c value in the first filter and/or the second filter, where the current c value may be obtained by the first filter and/or the second filter according to a system band limit adaptation of the communication system 100; the detection device 103 may further determine, according to the correspondence between the plurality of c values and the plurality of signal-to-noise ratios, the signal-to-noise ratio corresponding to the current c value as a reference signal-to-noise ratio. Then, the detection device 103 may determine the detection result of the sending-end device 101 according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio.

In another possible implementation manner, when the detection device 103 filters the sampling signal of the signal to be detected, the detection device 103 may generate a reference signal of the signal to be detected according to the sampling signal of the signal to be detected. The detection device 103 performs an equalization process on the reference signal using the third filter, thereby obtaining a data signal. The detection device 103 may further derive a noise signal from the difference between the signal to be detected and the data signal.

Illustratively, the third filter may be a two-tap [1, c ] filter. The detection device 103 may also obtain a current c value of the third filter, and the current c value may be obtained by the third filter according to the system band-limit adaptation of the communication system 100. The detection device 103 may further determine, according to the correspondence between the plurality of c values and the plurality of signal-to-noise ratios, the signal-to-noise ratio corresponding to the current c value as a reference signal-to-noise ratio. Then, the detection device 103 may determine the detection result of the sending-end device 101 according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio.

In the embodiment of the present application, the detection device 103 may obtain the reference signal through at least two possible implementations:

in one possible implementation, the detection device 103 may perform hard decision on the sampling signal to obtain a reference signal. In another possible implementation manner, the signal to be detected may be obtained after a preset signal sent by the sending-end device 101 is transmitted through the communication system 100. In this case, the detection device 103 may acquire the preset signal, synchronize the preset signal according to the sampling signal, and use the synchronized preset signal as a reference signal.

In this embodiment of the application, when the detection device 103 determines the detection result of the sending end device 101 according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio, the detection device 103 may obtain a first difference value obtained by subtracting the reference signal-to-noise ratio from the signal-to-noise ratio of the signal to be detected; if the first difference is greater than the first threshold, the detection device 103 may determine that the detection of the sending-end device 101 is qualified; and/or if the first difference is not greater than the first threshold, the detection device 103 may determine that the sending-end device 101 fails to detect.

Based on the first difference provided in this embodiment of the application, after determining the detection result of the sending-end device 101 according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio, the detection device 103 may also determine, according to the first difference, a reference SMQ corresponding to the first difference. In subsequent detection of a receiving device in the communication system 100, the receiving device may be detected using the reference SMQ.

Based on the same technical concept, the embodiment of the application also provides a processor. The processor may be a chip in the detection device. The processor may execute the detection method provided by any of the above embodiments by executing the program instructions. For specific implementation, reference may be made to the above embodiments, which are not described in detail.

As will be appreciated by one skilled in the art, 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 present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. The detection device is characterized by being used for detecting a sending terminal device in a communication system, and comprising a filtering unit and a calculating unit, wherein the filtering unit is connected with the calculating unit;

the filtering unit is configured to:

acquiring a data signal and a noise signal in a signal to be detected, wherein the signal to be detected is obtained after a signal transmitted by the sending terminal equipment is transmitted by the communication system;

the computing unit is configured to:

calculating to obtain the signal-to-noise ratio of the signal to be detected according to the data signal and the noise signal;

and determining a detection result of the sending terminal equipment according to the signal-to-noise ratio of the signal to be detected and a reference signal-to-noise ratio, wherein the reference signal-to-noise ratio is obtained according to the system band limit of the communication system.

2. The detection apparatus according to claim 1, further comprising a sampling unit connected to the filtering unit;

the sampling unit is used for:

receiving the signal to be detected, and sampling the signal to be detected to obtain a sampling signal of the signal to be detected;

the filtering unit is specifically configured to:

and filtering the sampling signal of the signal to be detected to obtain a data signal and a noise signal in the signal to be detected.

3. The detection apparatus according to claim 2, wherein the filtering unit includes a reference signal source, a first filter, a second filter, and a first mixer, the second filter is connected to the reference signal source and the first mixer, respectively, and the first mixer is connected to the first filter;

the first filter is configured to receive a sampled signal of the signal to be detected, and perform equalization processing on the sampled signal of the signal to be detected to obtain a first signal, where the first signal includes the noise signal and the data signal;

the reference signal source is used for generating a reference signal of the signal to be detected according to the sampling signal of the signal to be detected;

the second filter is configured to perform equalization processing on the reference signal to obtain the data signal;

the first mixer is configured to obtain the noise signal according to a difference between the first signal and the data signal.

4. The detection apparatus according to claim 3, wherein the filtering unit further comprises a first synchronizer connected to the first filter and the first mixer, respectively;

the first synchronizer is used for adjusting the time delay of the first signal and aligning the first signal with the data signal.

5. The detection apparatus according to claim 3 or 4, wherein the first filter and the second filter are both two-tap [1, c ] filters;

the computing unit is further to:

acquiring a current c value in the first filter and/or the second filter, wherein the current c value is obtained by the first filter and/or the second filter according to the system band limit self-adaption of the communication system;

and determining the signal-to-noise ratio corresponding to the current c value as the reference signal-to-noise ratio according to the corresponding relation between the plurality of c values and the plurality of signal-to-noise ratios.

6. The detection apparatus according to claim 2, wherein the filtering unit comprises a reference signal source, a third filter and a second mixer, the third filter being connected to the reference signal source and the second mixer, respectively;

the third filter is configured to perform equalization processing on the reference signal to obtain the data signal;

and the second mixer is used for receiving the signal to be detected and obtaining the noise signal according to the difference between the signal to be detected and the data signal.

7. The detection apparatus of claim 6, wherein the third filter is a two-tap [1, c ] filter;

the computing unit is further to:

acquiring a current c value of the third filter, wherein the current c value is obtained by the third filter according to the system band limit self-adaption of the communication system;

8. The detection device according to any one of claims 3 to 7, wherein the reference signal source comprises a decider;

and the decision device is used for carrying out hard decision on the sampling signal to obtain the reference signal.

9. The detection device according to any one of claims 3 to 7, wherein the signal to be detected is obtained by transmitting a preset signal sent by the sending end device through the communication system;

the reference signal source comprises a second synchronizer;

the second synchronizer is used for acquiring the preset signal; and synchronizing the preset signal according to the sampling signal, and taking the synchronized preset signal as the reference signal.

10. The detection device according to any one of claims 1 to 9, wherein the calculation unit is specifically configured to: obtaining a first difference value obtained by subtracting the reference signal-to-noise ratio from the signal-to-noise ratio of the signal to be detected;

if the first difference is larger than a first threshold value, determining that the detection of the sending end equipment is qualified; and/or the presence of a gas in the gas,

and if the first difference is not larger than the first threshold, determining that the detection of the sending end equipment is unqualified.

11. The detection device according to any one of claims 1 to 10, wherein the calculation unit is further configured to:

and determining a reference stress margin Q factor SMQ corresponding to the first difference according to the first difference, wherein the reference SMQ is used for detecting receiving terminal equipment in the communication system, and the first difference is obtained by subtracting the reference signal-to-noise ratio from the signal-to-noise ratio of the signal to be detected.

12. A detection method, applied to a detection device for detecting a sending end device in a communication system, the method comprising:

13. The method of claim 12, wherein before acquiring the data signal and the noise signal in the signal to be detected, further comprising:

acquiring a data signal and a noise signal in a signal to be detected, comprising:

14. The method of claim 13, wherein filtering the sampled signal of the signal to be detected comprises:

equalizing the sampling signal of the signal to be detected by using a first filter to obtain a first signal, wherein the first signal comprises the noise signal and the data signal;

generating a reference signal of the signal to be detected according to the sampling signal of the signal to be detected;

equalizing the reference signal by using a second filter to obtain the data signal;

and obtaining the noise signal according to the difference between the first signal and the data signal.

15. The method of claim 14, wherein before deriving the noise signal from a difference between the first signal and the data signal, further comprising:

adjusting a time delay of the first signal to align the first signal with the data signal.

16. The method of claim 14 or 15, wherein the first filter and the second filter are both two-tap [1, c ] filters;

before determining the detection result of the transmitting terminal device according to the signal-to-noise ratio of the signal to be detected and the reference signal-to-noise ratio, the method further comprises:

17. The method of claim 13, wherein filtering the sampled signal of the signal to be detected comprises:

equalizing the reference signal by using a third filter to obtain the data signal;

and obtaining the noise signal according to the difference between the signal to be detected and the data signal.

18. The method of claim 17, wherein the third filter is a two-tap [1, c ] filter;

19. The method according to any one of claims 14 to 18, wherein generating the reference signal of the signal to be detected from the sampled signal of the signal to be detected comprises:

and carrying out hard decision on the sampling signal to obtain the reference signal.

20. The method according to any one of claims 14 to 18, wherein the signal to be detected is obtained after a preset signal sent by the sending end device is transmitted through the communication system;

generating a reference signal of the signal to be detected according to the sampling signal of the signal to be detected, including:

acquiring the preset signal;

and synchronizing the preset signal according to the sampling signal, and taking the synchronized preset signal as the reference signal.

21. The method according to any one of claims 12 to 20, wherein determining the detection result of the transmitting end device according to the snr of the signal to be detected and the reference snr comprises:

obtaining a first difference value obtained by subtracting the reference signal-to-noise ratio from the signal-to-noise ratio of the signal to be detected;

22. The method according to any one of claims 12 to 21, wherein after determining the detection result of the transmitting end device according to the snr of the signal to be detected and the reference snr, further comprising:

and determining a reference SMQ corresponding to the first difference according to the first difference, wherein the reference SMQ is used for detecting receiving end equipment in the communication system, and the first difference is obtained by subtracting the reference signal-to-noise ratio from the signal-to-noise ratio of the signal to be detected.

23. A processor configured to perform the method of any one of claims 12 to 22 by executing program instructions.