Multi-channel signal simulation monitoring method and system for signal processing platform

Abstract

The invention discloses a multipath signal simulation monitoring method and system for a signal processing platform, and belongs to the technical field of simulation monitoring. Acquiring signal amplitude data, sampling jitter data and signal bit error rate data of multiple paths of signal simulation input channels, and distributing a uniform timestamp; calculating a multi-channel signal joint degree at a single timestamp; based on the multi-channel signal joint degree at the single timestamp, calculating a signal trend change factor at the single timestamp; calculating a signal quality estimation index at the next timestamp based on the multi-channel signal joint degree and the signal trend change factor; a signal quality estimation index threshold value is preset, and analysis and dynamic monitoring are carried out. Through joint degree calculation, trend change analysis and quality estimation, real-time monitoring and early warning of multiple paths of signals are achieved, the adaptability and the intelligent level of a signal processing platform are improved, and the method is widely applied to the fields of industrial control, communication systems, self-adaptive signal processing and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of simulation monitoring, and particularly to a multi-channel signal simulation monitoring method and system for a signal processing platform. Background Art

[0002] As an important part of modern communication, automatic control, and information processing systems, signal processing technology has evolved from analog signal processing to digital signal processing. In recent years, with the improvement of computing power and the popularization of artificial intelligence and big data analysis, it has entered the stage of intelligent and adaptive signal processing. However, with the increase in signal complexity, single-signal analysis methods are no longer sufficient to meet the requirements of modern signal processing platforms. Multi-channel signal processing technology has emerged to handle the joint analysis and optimization of multi-source signals. Existing technologies mainly rely on methods such as Fourier transform and wavelet transform for signal feature extraction, and combine statistical methods to evaluate signal quality. However, in complex environments, the influence of factors such as signal bit error rate and sampling jitter is often difficult to quantify and monitor in real time, resulting in limited real-time performance and stability of the system.

[0003] Traditional signal monitoring methods usually adopt independent parameter evaluation methods, failing to effectively integrate the joint information of multi-channel signals, resulting in a lack of global perspective in signal quality evaluation and an inability to accurately depict the dynamic change trend of signals. Secondly, existing signal quality monitoring methods often analyze based on historical data, with high computational complexity and inapplicability to real-time dynamic monitoring scenarios. In addition, since parameters such as signal amplitude, sampling jitter, and bit error rate have different physical dimensions, existing methods often use linear weighting methods when dealing with these parameters, which cannot accurately describe the non-linear evolution law of signal quality and affect the monitoring accuracy. Summary of the Invention

[0004] The purpose of the present invention is to provide a multi-channel signal simulation monitoring method and system for a signal processing platform to solve the problems raised in the above background art.

[0005] To solve the above technical problems, the present invention provides the following technical solutions:

[0006] A multi-channel signal simulation monitoring method for a signal processing platform, the method comprising the following steps: Step S1: Obtain the signal amplitude data, sampling jitter data, and signal error rate data of the multi-channel signal simulation input channels, and assign a unified timestamp; Step S2: Calculate the joint degree of the multi-channel signals at a single timestamp based on the signal amplitude data, sampling jitter data, and signal error rate data; Step S3: Calculate the signal trend change factor at a single timestamp based on the joint degree of the multi-channel signals at the single timestamp; Calculate the signal quality estimation index at the next timestamp based on the joint degree of the multi-channel signals and the signal trend change factor; Step S4: Preset a signal quality estimation index threshold, and analyze and perform dynamic monitoring.

[0007] As a preferred solution of the multi-channel signal simulation monitoring method for a signal processing platform described in the present invention, based on the signal processing platform, establish multi-channel signal simulation input channels, the multi-channel signal simulation input channels include analog signal simulation channels, digital signal simulation channels, and wireless signal simulation channels; Based on the multi-channel signal simulation input channels, collect the original signal data, the original signal data includes signal amplitude data, sampling jitter data, and signal error rate data.

[0008] Using a high-precision time synchronization mechanism, assign a unified timestamp to the signal amplitude data, the sampling jitter data, and the signal error rate data, specifically as follows:

[0009] Construct a timestamp set, denoted as TS = {TS t |t ∈ [1, T]}, where TS t represents the t-th timestamp, and T represents the total number of timestamps.

[0010] Based on the timestamp TS t , attach timestamp tags to the signal amplitude data, the sampling jitter data, and the signal error rate data, and respectively denote the signal amplitude data, sampling jitter data, and signal error rate data at the timestamp TS t as SA(TS t ), SJ(TS t ), and SB(TS t ).

[0011] As a preferred solution of the multi-channel signal simulation monitoring method for a signal processing platform described in the present invention, based on the signal amplitude data SA(TS t ), sampling jitter data SJ(TS t ), and signal error rate data SB(TS t ), calculate the joint degree of the multi-channel signals at the timestamp TS t , and the calculation formula is as follows:

[0012]

[0013] Among them, R ( TS t ) represents the multiplex signal joint degree at time stamp TS t ω A ω J ω B respectively represent the influence factors of the preset signal amplitude data, sampling jitter data, and signal bit error rate data, and α, β, and γ respectively represent the exponential decay factors of the preset signal amplitude data, sampling jitter data, and signal bit error rate data.

[0014] It should be noted that in actual signal processing, the signal amplitude (such as voltage, current) is a physical quantity with units of volts or amperes, the sampling jitter (such as time delay variation) is usually measured in nanoseconds or microseconds, and the bit error rate is a dimensionless ratio. Since the units of these parameters are different, they cannot be directly divided or linearly added. Therefore, this formula uses an exponential decay function to normalize all signals to between 0 and 1; this formula is only based on the current time stamp TS t for calculation, ensuring the real-time nature of the calculation results, applicable to dynamic signal monitoring and real-time decision-making, and not causing calculation delays due to the accumulation of historical data, applicable to scenarios with high requirements for response speed such as industrial control, communication systems, and adaptive signal processing; in applications such as signal processing, communication, and automatic control, if the multiplex signal joint degree R ( TS t) is high, it indicates good signal quality, less interference, and a stable system; if the multiplex signal joint degree R ( TS t) is low, it indicates that the signal may be affected by noise, jitter, or bit errors and needs to be compensated or adjusted.

[0015] As a preferred scheme of the multiplex signal simulation monitoring method for a signal processing platform described in the present invention, based on the multiplex signal joint degree R(TS t ) at time stamp TS t , calculate the signal trend change factor at time stamp TS t , and the calculation formula is as follows:

[0016]

[0017] Among them, D ( TS t) represents the signal trend change factor, δ and represent the preset influence factors, represents the average value of the multiplex signal joint degrees of the past N time stamps, represents the standard deviation of the multiplex signal joint degrees of the past N time stamps, R ( TSt-1) Indicates the timestamp TS t-1 of the multiplexed signal joint degree, and ΔTD represents the time interval between adjacent timestamps.

[0018] It should be noted that is used to measure the multiplexed signal joint degree R ( TS t) with respect to the deviation degree from the recent mean. If the current multiplexed signal joint degree R ( TS t) is far from the mean, this value is larger; is used to measure the instantaneous change speed of the multiplexed signal joint degree R ( TS t) indicating the intensity of the current multiplexed signal joint degree R ( TS t) compared to the previous timestamp, which can highlight the mutation trend within a short time and enable the rapid capture of sudden signal changes.

[0019] Based on the signal trend change factor D t at the timestamp TS ( TS t0 and the multiplexed signal joint degree R t at the timestamp TS ( TS t) calculate the signal quality estimation index at the timestamp TS t+1 The calculation formula is as follows:

[0020] EIQ ( TS t+1 ) = R ( TS t ) + λ × D ( TS t 0 ;

[0021] where EIQ ( TS t+1) represents the signal quality estimation index at the timestamp TS t+1 and λ represents the influence factor of the preset signal trend change factor D ( TS t) .

[0022] As a preferred solution of the multiplexed signal simulation monitoring method for a signal processing platform described in the present invention, based on the signal quality estimation index EIQ t+1 at the timestamp TS ( TS t+1) , preset the timestamp TS t+1The threshold of the signal quality estimation index at a certain time; if the signal quality estimation index EIQ ( TS t+1) is less than the above-mentioned signal quality estimation index threshold, it indicates that the quality will deteriorate at the time stamp TS t+1 and an alarm will be triggered in advance; the signal trend change factor and the multi-channel signal joint degree at the time stamp are obtained in real time to dynamically monitor the multi-channel signals.

[0023] A multi-channel signal simulation monitoring system for a signal processing platform, which includes: a data acquisition and synchronization module, a multi-channel signal joint degree calculation module, a change factor and index calculation module, and an analysis and detection module.

[0024] The data acquisition and synchronization module: acquires the signal amplitude data, sampling jitter data, and signal error rate data of the multi-channel signal simulation input channels, and assigns a unified time stamp.

[0025] The multi-channel signal joint degree calculation module: calculates the multi-channel signal joint degree at a single time stamp based on the signal amplitude data, sampling jitter data, and signal error rate data.

[0026] The change factor and index calculation module: calculates the signal trend change factor at a single time stamp based on the multi-channel signal joint degree at the single time stamp; calculates the signal quality estimation index at the next time stamp based on the multi-channel signal joint degree and the signal trend change factor.

[0027] The analysis and detection module: presets the signal quality estimation index threshold, analyzes and performs dynamic monitoring.

[0028] Further, the data acquisition and synchronization module includes a data acquisition unit and a data synchronization unit.

[0029] The data acquisition unit: based on the signal processing platform, establishes multi-channel signal simulation input channels, and the multi-channel signal simulation input channels include an analog signal simulation channel, a digital signal simulation channel, and a wireless signal simulation channel; based on the multi-channel signal simulation input channels, acquires the original signal data, and the original signal data includes signal amplitude data, sampling jitter data, and signal error rate data.

[0030] The data synchronization unit: uses a high-precision time synchronization mechanism to assign a unified time stamp to the signal amplitude data, the sampling jitter data, and the signal error rate data.

[0031] Further, the multi-channel signal joint degree calculation module includes a multi-channel signal joint degree calculation unit.

[0032] The multi-channel signal joint degree calculation unit: calculates the multi-channel signal joint degree at a single timestamp based on the signal amplitude data, sampling jitter data, and signal bit error rate data.

[0033] Furthermore, the change factor and index calculation module includes a change factor calculation unit and an index calculation unit.

[0034] The change factor calculation unit: calculates the signal trend change factor at a single timestamp based on the multi-channel signal joint degree at a single timestamp.

[0035] The index calculation unit: calculates the signal quality estimation index at the next timestamp based on the signal trend change factor at a single timestamp and the multi-channel signal joint degree at a single timestamp.

[0036] Furthermore, the analysis and detection module includes an analysis and detection unit.

[0037] The analysis and detection unit: presets the threshold of the signal quality estimation index at the next timestamp based on the signal quality estimation index at a single timestamp; if the signal quality estimation index is less than the signal quality estimation index threshold, it indicates that the quality will deteriorate at the next timestamp, and an alarm is triggered in advance; the signal trend change factor and multi-channel signal joint degree at the timestamp are obtained in real time to dynamically monitor the multi-channel signal.

[0038] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: In a multi-channel signal simulation monitoring method and system for a signal processing platform provided by the present invention, by calculating the multi-channel signal joint degree based on the collected data, the calculation uses an exponential decay function to normalize signal data with different dimensions, thereby ensuring the real-time nature of the calculation and avoiding the delay caused by the accumulation of historical data, making it applicable to industrial control and communication systems with high requirements for response speed; using the multi-channel signal joint degree to calculate the signal trend change factor, which can quickly capture the signal mutation trend by measuring the deviation degree and instantaneous change speed of the signal joint degree, and further combining the joint degree to calculate the signal quality estimation index, thereby providing a more comprehensive signal state evaluation; by setting the threshold of the signal quality estimation index, dynamic monitoring of the signal quality is realized. If the signal quality deterioration trend is obvious, an alarm is triggered in advance to ensure the stability and reliability of the system; overall, the method of the present invention realizes the real-time monitoring and early warning of multi-channel signals through joint degree calculation, trend change analysis, and quality estimation, improves the adaptability and intelligent level of the signal processing platform, and makes it widely applicable to industrial control, communication systems, and adaptive signal processing and other fields. Description of the Drawings

[0039] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention.

[0040] Figure 1 It is a schematic diagram of the steps of a multi-channel signal simulation monitoring method for a signal processing platform according to the present invention;

[0041] Figure 2 It is a schematic structural diagram of a multi-channel signal simulation monitoring system for a signal processing platform according to the present invention. Detailed implementation manners

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] Please refer to Figure 1 , in the first embodiment: A multi-channel signal simulation monitoring method for a signal processing platform is provided. The method includes the following steps:

[0044] Step S1: Obtain the signal amplitude data, sampling jitter data, and signal error rate data of the multi-channel signal simulation input channels, and assign a unified time stamp.

[0045] Specifically, based on the signal processing platform, establish multi-channel signal simulation input channels, and the multi-channel signal simulation input channels include analog signal simulation channels, digital signal simulation channels, and wireless signal simulation channels; based on the multi-channel signal simulation input channels, collect the original signal data, and the original signal data includes signal amplitude data, sampling jitter data, and signal error rate data.

[0046] Furthermore, use a high-precision time synchronization mechanism to assign a unified time stamp to the signal amplitude data, the sampling jitter data, and the signal error rate data, specifically as follows:

[0047] Construct a time stamp set, denoted as TS = {TS t |t ∈ [1, T]}, where TS t represents the t-th time stamp, and T represents the total number of time stamps.

[0048] Based on the time stamp TS t , attach time stamp labels to the signal amplitude data, the sampling jitter data, and the signal error rate data, and respectively use the time stamp TS tThe signal amplitude data, sampling jitter data, and signal bit error rate data under it are denoted as SA(TS t )、SJ(TS t ) and SB(TS t ).

[0049] Step S2: Based on the signal amplitude data, sampling jitter data, and signal bit error rate data, calculate the multiplex signal joint degree at a single timestamp.

[0050] Specifically, based on the signal amplitude data SA(TS t ), sampling jitter data SJ(TS t ), and signal bit error rate data SB(TS t ), calculate the multiplex signal joint degree at timestamp TS t . The calculation formula is as follows:

[0051]

[0052] Among them, R ( TS t ) represents the multiplex signal joint degree at timestamp TS t . ω A , ω J , and ω B respectively represent the influence factors of the preset signal amplitude data, sampling jitter data, and signal bit error rate data. α, β, and γ respectively represent the exponential decay factors of the preset signal amplitude data, sampling jitter data, and signal bit error rate data.

[0053] It should be noted that in actual signal processing, the signal amplitude (such as voltage, current) is a physical quantity with units of volts or amperes. Sampling jitter (such as delay variation) is usually measured in nanoseconds or microseconds. The bit error rate is a dimensionless ratio. Since these parameters have different units, they cannot be directly divided or linearly added. Therefore, this formula uses an exponential decay function to normalize all signals between 0 and 1. This formula is calculated only based on the current timestamp TS t , ensuring the real-time nature of the calculation result. It is applicable to dynamic signal monitoring and real-time decision-making, and will not cause calculation delays due to the accumulation of historical data. It is applicable to scenarios with high requirements for response speed such as industrial control, communication systems, and adaptive signal processing. In applications such as signal processing, communication, and automatic control, if the multiplex signal joint degree R ( TS t) is high, it indicates good signal quality, less interference, and a stable system. If the multiplex signal joint degree R 9 TS t) is low, it indicates that the signal may be affected by noise, jitter, or bit errors and needs to be compensated or adjusted.

[0054] Step S3: Calculate the signal trend change factor at a single timestamp based on the multiplexed signal joint degree at that single timestamp; calculate the signal quality estimation index at the next timestamp based on the multiplexed signal joint degree and the signal trend change factor.

[0055] Specifically, based on the multiplexed signal joint degree R t at timestamp TS 9 TS t) , calculate the signal trend change factor at timestamp TS t , and the calculation formula is as follows:

[0056]

[0057] where D ( TS t) represents the signal trend change factor, δ and represent preset influence factors, represents the mean of the multiplexed signal joint degrees of the past N timestamps, represents the standard deviation of the multiplexed signal joint degrees of the past N timestamps, R ( TS t-1) represents the multiplexed signal joint degree at timestamp TS t-1 , and ΔTD represents the time interval between adjacent timestamps.

[0058] It should be noted that is used to measure the degree of deviation of the multiplexed signal joint degree R ( TS t) from the recent mean. If the current multiplexed signal joint degree R ( TS t) is far from the mean, this value is larger; is used to measure the instantaneous change speed of the multiplexed signal joint degree R ( TS t) , indicating the degree of abruptness of the current multiplexed signal joint degree R ( TS t) compared to the previous timestamp, which can highlight the mutation trend within a short period of time and enable the rapid capture of sudden signal changes.

[0059] Furthermore, based on the signal trend change factor D t at timestamp TS ( TS t) and the multiplexed signal joint degree R t at timestamp TS ( TS t) , calculate the signal quality estimation index at timestamp TS t+1 , and the calculation formula is as follows:

[0060] EIQ( TS t+1 ) = R ( TS t ) + λ × D ( TS t 0 ;

[0061] Wherein, EIQ ( TS t+1) represents the signal quality estimation index at time stamp TS t+1 λ represents a preset signal trend change factor D ( TS t) is the influence factor of

[0062] It should be noted that this formula comprehensively considers the signal state at the current time stamp (reflected by) and the signal change trend (reflected by). Compared with evaluating only based on the current signal state, it can estimate the signal quality at the next time stamp more comprehensively and accurately. For example, in a communication system, it can not only consider the signal quality at the current moment, but also combine the signal change trend to predict the change of signal quality in advance, providing a more reliable basis for system adjustment and optimization

[0063] Step S4: Preset the signal quality estimation index threshold, analyze and perform dynamic monitoring.

[0064] Specifically, based on the signal quality estimation index EIQ t+1 at time stamp TS ( TS t+1) preset the signal quality estimation index threshold at time stamp TS t+1 ; if the signal quality estimation index EIQ ( TS t+1) is less than the above-mentioned signal quality estimation index threshold, it indicates that the quality will decline at time stamp TS t+1 and an alarm will be triggered in advance.

[0065] Furthermore, obtain the signal trend change factor and the multiplex signal joint degree under the time stamp in real time, and perform dynamic monitoring on the multiplex signals.

[0066] Please refer to Figure 2 , in the second embodiment: Provide a multiplex signal simulation monitoring system for a signal processing platform, which includes: a data acquisition and synchronization module, a multiplex signal joint degree calculation module, a change factor and index calculation module, and an analysis and detection module.

[0067] The data acquisition and synchronization module: acquires the signal amplitude data, sampling jitter data, and signal error rate data of the multiplex signal simulation input channels, and assigns a unified time stamp.

[0068] The multi-channel signal joint degree calculation module: calculates the joint degree of multi-channel signals at a single timestamp based on the signal amplitude data, sampling jitter data, and signal bit error rate data.

[0069] The change factor and index calculation module: calculates the signal trend change factor at a single timestamp based on the joint degree of multi-channel signals at the single timestamp; calculates the signal quality estimation index at the next timestamp based on the joint degree of multi-channel signals and the signal trend change factor.

[0070] The analysis and detection module: preset the signal quality estimation index threshold, and perform analysis and dynamic monitoring.

[0071] Furthermore, the data acquisition and synchronization module includes a data acquisition unit and a data synchronization unit.

[0072] The data acquisition unit: based on the signal processing platform, establishes multi-channel signal simulation input channels, and the multi-channel signal simulation input channels include an analog signal simulation channel, a digital signal simulation channel, and a wireless signal simulation channel; based on the multi-channel signal simulation input channels, acquires raw signal data, and the raw signal data includes signal amplitude data, sampling jitter data, and signal bit error rate data.

[0073] The data synchronization unit: uses a high-precision time synchronization mechanism to assign a unified timestamp to the signal amplitude data, the sampling jitter data, and the signal bit error rate data.

[0074] Furthermore, the multi-channel signal joint degree calculation module includes a multi-channel signal joint degree calculation unit.

[0075] The multi-channel signal joint degree calculation unit: calculates the joint degree of multi-channel signals at a single timestamp based on the signal amplitude data, sampling jitter data, and signal bit error rate data.

[0076] Furthermore, the change factor and index calculation module includes a change factor calculation unit and an index calculation unit.

[0077] The change factor calculation unit: calculates the signal trend change factor at a single timestamp based on the joint degree of multi-channel signals at the single timestamp.

[0078] The index calculation unit: calculates the signal quality estimation index at the next timestamp based on the signal trend change factor at a single timestamp and the joint degree of multi-channel signals at the single timestamp.

[0079] Furthermore, the analysis and detection module includes an analysis and detection unit.

[0080] The analysis and detection unit: based on the signal quality estimation index at a single timestamp, preset the threshold of the signal quality estimation index at the next timestamp; if the signal quality estimation index is less than the signal quality estimation index threshold, it indicates that the quality will deteriorate at the next timestamp, and an alarm is triggered in advance; obtain the signal trend change factor and the multi-channel signal association degree at the timestamp in real time, and dynamically monitor the multi-channel signals.

[0081] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0082] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A multi-channel signal simulation monitoring method for a signal processing platform, characterized in that: The method comprises the following steps: Step S1: acquiring signal amplitude data, sampling jitter data and signal bit error rate data of multiple signal simulation input channels, and assigning a unified timestamp; Step S2: calculating the degree of union of multiple signals at a single timestamp based on the signal amplitude data, sampling jitter data and signal bit error rate data; Step S3: Based on the multi-channel signal union degree at the single timestamp, the signal trend change factor at the single timestamp is calculated; based on the multi-channel signal union degree and the signal trend change factor, the signal quality estimation index at the next timestamp is calculated; Step S4: preset a signal quality estimation index threshold, analyze and perform dynamic monitoring.

2. A multi-channel signal simulation monitoring method for a signal processing platform according to claim 1, characterized in that: The specific implementation process of step S1 includes: Based on the signal processing platform, a multi-channel signal simulation input channel is established, wherein the multi-channel signal simulation input channel includes an analog signal simulation channel, a digital signal simulation channel and a wireless signal simulation channel; based on the multi-channel signal simulation input channel, original signal data is collected, wherein the original signal data includes signal amplitude data, sampling jitter data and signal bit error rate data; Using a high-precision time synchronization mechanism, a unified timestamp is assigned to the signal amplitude data, the sampling jitter data, and the signal bit error rate data, as follows: Construct a timestamp set, denoted as TS = {TS t |t∈[1,T]}, where TS t represents the tth timestamp, and T represents the total number of timestamps; Based on timestamp TS t , add timestamp tags to the signal amplitude data, the sampling jitter data and the signal bit error rate data, and respectively set the timestamp TS t The signal amplitude data, sampling jitter data and signal bit error rate data under the condition are recorded as SA(TS t )、SJ(TS t ) and SB(TS t ).

3. The multi-channel signal simulation monitoring method for a signal processing platform according to claim 2, characterized in that: The specific implementation process of step S2 includes: Based on the signal amplitude data SA(TS t ), sampling jitter data SJ (TS t ) and signal error rate data SB(TS t ), calculate the timestamp TS t The calculation formula of the multi-path signal combination degree is as follows: Among them, R ( TS t ) Indicates timestamp TS t The multi-path signal combination degree, ω A ,ω J and ω B They respectively represent influencing factors of preset signal amplitude data, sampling jitter data and signal bit error rate data, and α, β and γ respectively represent exponential attenuation factors of preset signal amplitude data, sampling jitter data and signal bit error rate data.

4. The multi-channel signal simulation monitoring method for a signal processing platform according to claim 3, characterized in that: The specific implementation process of step S3 includes: Based on timestamp TS t The multi-path signal combination degree R ( TS t) , calculate the timestamp TS t The signal trend change factor at time , is calculated as follows: Among them, D ( TS t) Represents the signal trend change factor, δ and represents the preset impact factor, represents the joint mean of the multi-channel signals in the past N timestamps, represents the standard deviation of the joint degree of multi-channel signals in the past N timestamps, R ( TS t-1) Indicates timestamp TS t-1 The degree of multi-path signal combination under the condition, ΔTD represents the time interval between adjacent timestamps; Based on timestamp TS t The signal trend change factor D ( TS t) and timestamp TS t The multi-path signal combination degree R ( TS t) , calculate the timestamp TS t+1 The signal quality estimation index at time , is calculated as follows: EIQ ( TS t+1 ) =R ( TS t ) +λ×D ( TS t ) ; Among them, EIQ ( TS t+1) Indicates timestamp TS t+1 The signal quality estimation index at this time, λ represents the preset signal trend change factor D ( TS t) The impact factor.

5. The multi-channel signal simulation monitoring method for a signal processing platform according to claim 4, characterized in that: The specific implementation process of step S4 includes: Based on timestamp TS t+1 Signal quality estimation index EIQ ( TS t+1) , preset timestamp TS t+1 The signal quality estimation index threshold when ( TS t+1) is less than the signal quality estimation indicator threshold, indicating that at timestamp TS t+1 If the quality deteriorates, an alarm will be triggered in advance; The signal trend change factor and multi-channel signal combination degree under the timestamp are acquired in real time, and the multi-channel signals are dynamically monitored.

6. A multi-channel signal simulation monitoring system for a signal processing platform, executing a multi-channel signal simulation monitoring method for a signal processing platform as claimed in any one of claims 1 to 5, characterized in that: The system includes a data acquisition and synchronization module, a multi-channel signal joint degree calculation module, a change factor and index calculation module and an analysis and detection module: The data acquisition and synchronization module is used to acquire signal amplitude data, sampling jitter data and signal bit error rate data of multiple signal simulation input channels, and assign a unified timestamp; The multi-channel signal joint degree calculation module is used to calculate the multi-channel signal joint degree at a single timestamp based on the signal amplitude data, sampling jitter data and signal bit error rate data; The change factor and index calculation module is used to calculate the signal trend change factor at a single timestamp based on the multi-channel signal union degree at the single timestamp; Calculating a signal quality estimation index at a next timestamp based on the multi-channel signal union degree and the signal trend change factor; The analysis and detection module is used to preset a signal quality estimation index threshold, analyze and perform dynamic monitoring.

7. The multi-channel signal simulation monitoring system for a signal processing platform according to claim 6, characterized in that: The data acquisition and synchronization module includes a data acquisition unit and a data synchronization unit; The data acquisition unit: based on the signal processing platform, establishes a multi-channel signal simulation input channel, wherein the multi-channel signal simulation input channel includes an analog signal simulation channel, a digital signal simulation channel and a wireless signal simulation channel; Based on the multi-channel signal simulation input channel, collecting original signal data, the original signal data includes signal amplitude data, sampling jitter data and signal bit error rate data; The data synchronization unit uses a high-precision time synchronization mechanism to assign a unified timestamp to the signal amplitude data, the sampling jitter data, and the signal bit error rate data.

8. The multi-channel signal simulation monitoring system for a signal processing platform according to claim 7, characterized in that: The multi-path signal joint degree calculation module includes a multi-path signal joint degree calculation unit; The multi-channel signal combination degree calculation unit calculates the multi-channel signal combination degree at a single time stamp based on the signal amplitude data, the sampling jitter data and the signal bit error rate data.

9. The multi-channel signal simulation monitoring system for a signal processing platform according to claim 8, characterized in that: The change factor and index calculation module includes a change factor calculation unit and an index calculation unit; The change factor calculation unit calculates the signal trend change factor at a single timestamp based on the multi-channel signal union degree at a single timestamp; The index calculation unit calculates the signal quality estimation index at the next timestamp based on the signal trend change factor at a single timestamp and the multi-channel signal combination degree at a single timestamp.

10. The multi-channel signal simulation monitoring system for a signal processing platform according to claim 9, characterized in that: The analysis and detection module includes an analysis and detection unit; The analysis and detection unit: based on the signal quality estimation index at a single timestamp, presets a signal quality estimation index threshold at the next timestamp; if the signal quality estimation index is less than the signal quality estimation index threshold, it indicates that the quality will degrade at the next timestamp, and an alarm is triggered in advance; The signal trend change factor and multi-channel signal combination degree under the timestamp are acquired in real time, and the multi-channel signals are dynamically monitored.

Images