WO2014082222A1 - Procédé et dispositif d'analyse de source d'interférence - Google Patents

Procédé et dispositif d'analyse de source d'interférence Download PDF

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Publication number
WO2014082222A1
WO2014082222A1 PCT/CN2012/085440 CN2012085440W WO2014082222A1 WO 2014082222 A1 WO2014082222 A1 WO 2014082222A1 CN 2012085440 W CN2012085440 W CN 2012085440W WO 2014082222 A1 WO2014082222 A1 WO 2014082222A1
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WIPO (PCT)
Prior art keywords
interference
measurement data
model
interference source
frequency
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PCT/CN2012/085440
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English (en)
Chinese (zh)
Inventor
闫龙
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华为技术服务有限公司
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Publication date
Application filed by 华为技术服务有限公司 filed Critical 华为技术服务有限公司
Priority to PCT/CN2012/085440 priority Critical patent/WO2014082222A1/fr
Priority to CN201280040464.4A priority patent/CN103959838B/zh
Publication of WO2014082222A1 publication Critical patent/WO2014082222A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

Definitions

  • the present invention relates to the field of communications, and in particular, to an interference source analysis method and apparatus. Background technique
  • the interference source is usually analyzed by using the network indicator combined with the on-site frequency sweeping method, that is, the cell with poor index is continuously observed through the remote network, and the frequency sweeping engineer performs the frequency sweep after the initial determination of the problem, and observes The level value of the uplink frequency point scan of the cell (only the level value is observed) to capture the interference source.
  • Embodiments of the present invention provide an interference source analysis method and apparatus, analyze interference source types according to different interference source analysis models, and quickly analyze interference source types to improve network quality.
  • an embodiment of the present invention provides an interference source analysis method, including: acquiring measurement data, where the measurement data is frequency-frequency scanning for a frequency band to be analyzed or frequency allocation of the frequency band to be analyzed is supported by FAS statistics. ;
  • the selecting an interference source analysis model performs frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model Previously, it also included:
  • the acquiring the measurement data includes: performing frequency point scanning or FAS statistics on the frequency band to be analyzed in a first time period to obtain first measurement data;
  • Selecting an interference source analysis model to perform frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model including:
  • the difference correlation analysis result is greater than the preset threshold, determining that the interference source corresponding to the known interference frequency result model exists in the to-be-analyzed frequency band; otherwise, determining that the to-be-analyzed frequency band is not There is an interference source corresponding to the known interference frequency result model.
  • the using the known interference frequency result model to frequency the first difference and the second difference After the domain correlation analysis also includes:
  • the second measurement data and the third measurement data are all related to the full frequency point traversal adaptive interference model, and then determining that the frequency band to be analyzed exists corresponding to the full frequency point traversal adaptive interference model The interference source, otherwise, does not exist with the full-frequency point traversal adaptive interference model corresponding to the interference source.
  • the selecting an interference source analysis model performs frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model Previously, it also included:
  • Selecting an interference source analysis model to perform frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model including:
  • the establishing the known frequency interference result model includes: establishing an intermodulation interference model or a CDMA interference model.
  • the establishing the full frequency point traversal adaptive interference model includes:
  • an embodiment of the present invention provides an interference source analyzing apparatus, including: an acquiring module, configured to acquire measurement data, where the measurement data performs frequency point scanning on a frequency band to be analyzed or frequency allocation of the frequency band to be analyzed. Support for FAS statistics;
  • a processing module configured to select an interference source analysis model to perform frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model
  • a determining module configured to: if the measurement data is related to the interference source analysis model,
  • the interference source analysis model includes a known frequency point interference result model and a full frequency point traversal adaptive interference model.
  • the apparatus further includes:
  • a filtering module configured to perform smoothing filtering on the measurement data acquired by the acquiring module to obtain smooth filtered measurement data
  • the processing module is configured to perform frequency domain correlation analysis on the smoothed filtered measurement data by using the known interference frequency result model to determine whether the measurement data and the known interference frequency result model are Related.
  • the acquiring module is configured to perform frequency point scanning or FAS statistics on the to-be-analyzed frequency band to obtain first measurement data in a first time period; Performing frequency point scanning or FAS statistics on the frequency band to be analyzed to obtain second measurement data;
  • the processing module is configured to perform frequency domain correlation analysis on the first difference value and the second difference value by using the known interference frequency point result model to obtain a difference correlation analysis result;
  • the determining module is specifically configured to: if the difference correlation analysis result is greater than a preset threshold, determine that the interference source corresponding to the known interference frequency result model exists in the to-be-analyzed frequency band; otherwise, determine There is no interference source corresponding to the known interference frequency result model in the analyzed frequency band.
  • the determining module is further configured to:
  • the second measurement data and the third measurement data are all related to the full frequency point traversal adaptive interference model, and then determining that the frequency band to be analyzed exists and the full frequency point traversal adaptive interference mode
  • the type is directed to the corresponding interference source, otherwise, there is no interference source corresponding to the full-frequency point traversal adaptive interference model.
  • the processing module is specifically configured to: filter out a noise floor in the measurement data by using a bottom noise filtering algorithm, and calculate an interference mean and a standard deviation of the noise floor, Performing frequency domain correlation analysis on the noise floor in the measurement data to determine the measurement data and the interference source according to the interference mean and standard deviation of the noise floor, using the full frequency point traversal adaptive model Whether the model is relevant.
  • the apparatus further includes: a modeling module, And configured to establish the known frequency interference result model and the full frequency point traversal adaptive interference model.
  • the modeling module is specifically configured to establish an intermodulation interference model and/or a CDMA interference model.
  • the modeling module is specifically configured to establish a frequency interference model and/or a broadband interference analysis model.
  • an embodiment of the present invention provides an interference source analyzing apparatus, including a memory and a processor, the memory storing program code, the processor is configured to execute the program code stored in the memory;
  • the methods used by the code to implement include:
  • the measurement data is obtained by performing frequency point scanning on the frequency band to be analyzed or performing frequency allocation support for the frequency band to be analyzed, and the interference source analysis model includes a known frequency point interference result model and a full frequency point traversal adaptive interference model.
  • the method for implementing the program code further includes:
  • the selecting an interference source analysis model performs frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model, including:
  • the method where the program code is used for the method, further includes: acquiring the measurement data, specifically performing frequency point scanning or FAS on the to-be-analyzed frequency band in a first time period. Counting to obtain the first measurement data, performing frequency point scanning or FAS statistics on the frequency band to be analyzed in the second time period to obtain second measurement data, and performing frequency point scanning or FAS statistics on the frequency band to be analyzed in the third time period. Obtaining a third measurement data, calculating a first difference between the first measurement data and the second measurement data, and calculating a second difference between the second measurement data and the third measurement data;
  • Selecting an interference source analysis model to perform frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model including:
  • the method for implementing the program code further includes:
  • the first Measuring data, the second measurement data, and the third measurement data are subjected to frequency domain correlation analysis; if the first measurement data, the second measurement data, and the third measurement data are all related to the full frequency Point traversing the adaptive interference model correlation, determining that the frequency band to be analyzed has an interference source corresponding to the full frequency point traversal adaptive interference model, otherwise, there is no corresponding corresponding to the full frequency point traversal adaptive interference model Source of interference.
  • the method for implementing the program code further includes: performing frequency domain phase on the measurement data by selecting an interference source analysis model Before determining whether the measurement data is related to the interference source analysis model, filtering the noise floor in the measurement data by using a noise floor filtering algorithm; calculating an interference mean and a standard deviation of the noise floor, according to Determining the interference mean and standard deviation of the noise floor, using the full frequency point traversal adaptive model, performing frequency domain correlation analysis on the noise floor in the measurement data to determine whether the measurement data and the interference source analysis model are Related.
  • the program code is used to implement the method
  • the method further includes: establishing a known frequency interference result model and a frequency domain correlation analysis after selecting an interference source analysis model to determine whether the measurement data is related to the interference source analysis model The full frequency point traverses the adaptive interference model.
  • the establishing the known frequency interference result model includes: establishing an intermodulation interference model and/or a CDMA interference model.
  • the establishing the full frequency point traversal adaptive interference model includes:
  • the method and device for analyzing interference sources provided by the embodiments of the present invention obtain frequency measurement data by using uplink frequency point scanning or FAS, thereby obtaining frequency measurement data, and performing measurement data of the frequency domain by using an established interference source analysis model. Correlation analysis, finally, determine the type of interference source based on the correlation analysis results.
  • the interference source analysis method provided by the embodiment of the invention analyzes the type of the interference source according to different interference source analysis models, and greatly improves the efficiency of the interference source analysis.
  • Embodiment 1 is a flowchart of Embodiment 1 of an interference source analysis method according to the present invention
  • 2A is a schematic diagram of measurement data in a frequency domain of Embodiment 2 of an interference source analysis method according to the present invention
  • 2B is a schematic diagram of measurement data after smoothing filtering in Embodiment 2 of an interference source analysis method according to the present invention
  • 2C is a schematic diagram of frequency domain correlation analysis of the smoothing filter household measurement data and the intermodulation interference model in the second embodiment of the interference analysis method of the present invention
  • 3A is a schematic diagram of measurement data in a frequency domain of idle time and busy time 1 in Embodiment 3 of the interference source analysis method of the present invention
  • 3B is a schematic diagram of measurement data in a frequency domain of idle time and busy time 2 in Embodiment 3 of the interference source analysis method of the present invention
  • FIG. 3C is a schematic diagram showing the level difference between the idle time and the busy time 1 and the idle time and the busy time 2 in the third embodiment of the interference source analysis method according to the present invention.
  • 3D is a schematic diagram showing the correlation between the first difference and the second difference in the third embodiment of the interference source analysis method of the present invention.
  • FIG. 3E is a schematic diagram of full frequency traversal in idle time according to Embodiment 3 of the present invention.
  • FIG. 4A is a schematic diagram of a first measurement data in the frequency domain of the fourth embodiment of the interference source analysis method according to the present invention
  • FIG. 4B is a schematic diagram of the bottom noise signal filtered out in FIG. 4A;
  • 4D is a schematic diagram of the noise floor signal filtered out in FIG. 4C;
  • FIG. 5 is a schematic structural diagram of Embodiment 1 of an interference source analyzing apparatus according to the present invention.
  • Embodiment 2 is a schematic structural diagram of Embodiment 2 of an interference source analysis apparatus according to the present invention.
  • Embodiment 7 is a schematic structural diagram of Embodiment 3 of an interference source analyzing apparatus according to the present invention.
  • FIG. 8 is a schematic structural diagram of Embodiment 4 of an interference source analyzing apparatus according to the present invention.
  • the technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention.
  • the embodiments are a part of the embodiments of the invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
  • 1 is a flowchart of Embodiment 1 of an interference source analysis method according to the present invention. As shown in FIG. 1, the method in this embodiment may include:
  • Step 101 Obtain measurement data.
  • the measurement data is data related to the frequency domain. Specifically, the measurement data can be obtained by performing frequency point scanning on the frequency band to be analyzed or frequency allocation support (FAS) for the frequency band to be analyzed. If the above measurement data is obtained by performing a frequency point scan on the spectrum to be analyzed, the measurement data is band scan data. If the above measurement data is obtained by FAS statistics, the measurement data is a level value corresponding to each frequency point.
  • FAS frequency allocation support
  • a single frequency point data of a single cell is statistically determined according to a normal distribution, and a probability density function of each frequency point is determined, and then a linear prediction function is used to determine a level value of the frequency point included in a certain probability interval, which may be It is necessary to obtain a level value falling within a certain probability interval, and the level value falling into a certain probability interval is the measurement data related to the frequency domain, and the level value falling into a certain probability interval can be used as the frequency. Points are based on frequency domain analysis.
  • Step 102 Select an interference source analysis model to perform frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model.
  • the main interferences in the current network include intermodulation interference, wideband interference, burst frequency interference, CDMA blocking interference and other interferences.
  • No matter which kind of interference source it can show certain characteristics in the frequency domain.
  • the model models the characteristics of the interference source. Then, using the established interference source analysis model, correlation analysis is performed on the measurement data in the frequency domain in the above step 101.
  • Step 103 If the measurement data is related to the interference source analysis model, determine that the interference source corresponding to the interference source analysis model exists in the frequency band to be analyzed; otherwise, determine that the interference source corresponding to the interference source analysis model does not exist in the frequency band to be analyzed.
  • the interference source analysis model includes a known frequency interference result model and a full frequency point traversal adaptive interference model.
  • the frequency domain correlation analysis result obtained by performing frequency domain correlation analysis according to the frequency domain measurement data and the interference source analysis model for example, matching the frequency domain measurement data with the interference source analysis model, if the frequency domain If the measured data matches the interference source analysis model, it is determined that there is an interference source corresponding to the interference source analysis model in the frequency band of the analysis. Otherwise, there is no interference corresponding to the interference source analysis model in the analyzed frequency band. source.
  • the interference source analysis method provided by the embodiment of the present invention obtains the frequency measurement data by obtaining the frequency point scan data or the FAS statistics result of the frequency band to be analyzed by the uplink frequency point scanning, and further obtains the frequency measurement data. Correlation analysis is performed on the measurement data of the above frequency domain by using the established interference source analysis model. Finally, the interference source type is judged according to the correlation analysis result.
  • the interference source analysis method provided by the embodiment of the present invention analyzes the type of the interference source according to different interference source analysis models, greatly improves the accuracy of the uplink interference, and the efficiency of the check, and performs intermodulation, CDMA, broadband, frequency, other operators, and the like. The interference is quickly and accurately located, and the type of interference source is analyzed to improve the network quality.
  • the above interference source analysis model may be existing in the prior art, or may be obtained by using an existing data model to model the interference source.
  • the above embodiment is a method for analyzing the type of interference source in a general ideal state, that is, in the case where there is no special condition and the interference source is single.
  • the actual frequency domain measurement data such as burst interference may have a large gap with the interference source analysis model.
  • the interference is utilized.
  • the source analysis model performs frequency domain correlation analysis on the measurement data to obtain the frequency domain correlation analysis result, and may perform smoothing filtering on the measurement data in the frequency domain to filter out burst interference, etc., and then smooth the filtered measurement data. Perform frequency domain correlation analysis.
  • the frequency domain correlation analysis of the measurement data in the frequency domain is performed by using the intermodulation interference model as an example for detailed description.
  • FIG. 2A is a schematic diagram of measurement data in a frequency domain of Embodiment 2 of an interference source analysis method according to the present invention, wherein the abscissa is a frequency and the ordinate is a level value.
  • the measurement data in the frequency domain is smoothed to obtain smooth filtered measurement data, as shown in FIG. 2B.
  • FIG. 2B is a schematic diagram of measurement data after smoothing filtering in Embodiment 2 of the interference source analysis method of the present invention. After smoothing, the measurement data for filtering out burst interference as shown in Fig. 2B is obtained. Then, the smoothed filtered measurement data is correlated with the intermodulation interference model, as shown in Fig. 2C.
  • FIG. 2C is a schematic diagram of frequency domain correlation analysis of the smoothed filtered measurement data and the intermodulation interference model in the second embodiment of the interference analysis method of the present invention.
  • the solid line in the figure is the sample data, that is, the smoothed filtered measurement data
  • the thin dotted line is the simulation of the intermodulation interference
  • the selected range of the thick dotted line is the selected frequency band to be analyzed, that is, 61.
  • the smoothed filtered data of the frequency band is related to the intermodulation interference model, it is determined that there is an intermodulation interference source in the frequency band. Otherwise, there is no intermodulation interference source in the frequency band.
  • matching the smoothed filtered measurement data with the intermodulation interference model if the matching result is greater than the preset correlation gate If it is limited, it is determined that there is an intermodulation interference source in the frequency band. Otherwise, there is no intermodulation interference source.
  • the measurement data in the frequency domain after smoothing filtering filters out part of the burst interference, and enhances the correlation between the sample data and the simulation model data, and then Correlation analysis between the smoothed filtered frequency domain measurement data and the interference model enables more accurate analysis of the type of interference source.
  • the above embodiment is to perform correlation analysis on the smoothed filtered measurement data and the intermodulation interference simulation model to determine the type of the interference source, but the invention is not limited thereto. In other embodiments, any interference source is utilized.
  • the analysis model can perform smoothing filtering on the measurement data in the frequency domain before performing the frequency domain correlation analysis on the measurement data to obtain the correlation between the measurement data in the frequency domain and the simulation model.
  • interference data in a certain statistical interval may include multiple interference sources;
  • the difference in data is used to analyze the source of the interference. That is, the frequency point scan data of different time periods is collected, and the measurement data in the frequency domain of different time periods are obtained, and the difference of the measurement data in the frequency domain of different time periods is calculated, and the interference is performed according to the difference and the original measurement data.
  • Source for analysis is used to analyze the frequency point scan data of different time periods.
  • the idle time, the busy time 1, and the busy time 2 are taken as an example of the first time period, the second time period, and the third time period.
  • the frequency range of the set is set to the frequency range 1 ⁇ 124, and the collected level of each frequency point is data of the idle time, the busy time 1, and the busy time 2 respectively.
  • 3A is a schematic diagram of measurement data in a frequency domain of idle time and busy time 1 in Embodiment 3 of an interference source analysis method according to the present invention
  • FIG. 3B is a frequency domain of idle time and busy time 2 in Embodiment 3 of an interference source analysis method according to the present invention
  • FIG. 3C is a schematic diagram showing the difference in level of the frequency domain between idle time and busy time 1, idle time and busy time 2 in the third embodiment of the interference source analysis method of the present invention.
  • the frequency domain correlation analysis of the measured data is used to determine the type of interference source that may be present. For the specific process, refer to FIG. 2A to FIG. 2C, and it is determined according to the correlation analysis result. There is intermodulation interference.
  • the characteristics of the intermodulation interference itself may satisfy the preliminary form of the simulation model, but further confirmation is needed to determine whether it belongs to other Disturb.
  • the black histogram near the abscissa is the measurement data of the idle time
  • the dotted curve in the middle is the measurement data of the busy time 1
  • the histogram of the upper closed dotted frame shows each The difference between the idle time of the frequency point and the measured data of the busy hour 1, that is, the first difference
  • the black histogram near the abscissa is the measurement data of the idle time
  • the dotted curve in the middle For the measurement data of the busy hour 2, the histogram of the uppermost closed dotted line frame shows the difference between the idle time of each frequency point and the measurement data of the busy hour 2, that is, the second difference.
  • FIGS. 3A and 3B the level difference values of the different time periods ⁇ are respectively calculated, and the first difference value shown in the histogram in the closed dotted line frame area of FIG. 3A and the histogram view in the closed dotted line frame area of FIG. 3B are obtained.
  • the second difference is shown, and after analyzing the possible intermodulation interference, the correlation between the first difference and the second difference is determined to determine that there is indeed intermodulation interference.
  • the black histogram near the abscissa is the measurement data of the idle time
  • the closed dotted line frame includes the first difference and the second difference diagram, wherein the black solid histogram is the first difference, black
  • the hollow histogram is the second difference.
  • FIG. 3D is a schematic diagram showing the correlation between the first difference and the second difference in the third embodiment of the interference source analysis method of the present invention.
  • the dashed curve is a filtered first difference filter curve obtained by smoothing the histogram of the first difference in FIG. 3A, that is, the difference between the idle time and the measurement data of the busy hour 1.
  • the filter curve, the solid curve is a filtered second difference filter curve obtained by smoothing the histogram of the second difference in FIG. 3B, that is, the difference filter of the measurement data of the idle time and the busy time 2 curve.
  • Correlating the first difference curve and the second difference curve to obtain a difference correlation analysis result, and comparing the size of the difference correlation analysis result with a preset threshold value if the preset is greater than the preset For the threshold, it is considered that there is an interference source type corresponding to the preset threshold. Otherwise, there is no interference source type corresponding to the preset threshold. Further, it is also possible to analyze whether there are other types of interference sources.
  • the frequency-domain correlation analysis may be performed on the data of idle time, busy hour, and busy time 2 by using a full-frequency traversal adaptive interference model, such as a frequency interference model or a broadband interference analysis model. . That is, after performing correlation analysis on the first difference and the second difference to determine that the interference source includes intermodulation interference, the data of the idle time, the busy hour, and the busy time 2 may also be traversed by using the full frequency point.
  • Adaptation model for correlation analysis to prevent interference in certain frequency bands Sliding filtering is filtered out to analyze scenes of possible interference source types.
  • FIG. 3E is a schematic diagram of full frequency traversal in idle time according to Embodiment 3 of the present invention.
  • the dashed curve is a frequency traversal filter curve
  • the solid curve is a smooth filtered frequency traversal result.
  • the interference source analysis method by setting the frequency band range of the set, respectively, frequency domain level values of different time periods are collected, and frequency domain level differences of different time periods are calculated, and the difference is used to use the known interference frequency.
  • the point result model is correlated to analyze the types of interference sources that may exist; the frequency domain level values of the original different time periods are traversed by the full frequency point to the adaptive interference model to analyze the types of interference sources that may exist, for the frequency points, straight Interference types such as station, intermodulation, CDMA blocking interference, active interference equipment, and mixed interference with multiple interference sources enable fast and accurate analysis, effectively improving the quality of the network.
  • the complexity of the modeling directly affects the actual measurement data, that is, the correlation analysis result of the frequency domain level values.
  • the interference source can be directly analyzed by matching it with a known interference frequency point result model corresponding thereto to analyze the interference source.
  • Types such as CDMA blocking interference, intermodulation interference, etc.
  • the full-frequency traversal adaptive interference model can be used to analyze the possible types of interference sources. Since there may be multiple interference sources coexisting, the interference source type analysis may be performed according to the level difference of the measurement data in different time periods and the known interference frequency interference result model, and the full frequency traversal adaptive interference is combined. The model correlates the measured data of different original time periods to analyze the interference source.
  • the analysis cannot be analyzed.
  • different decision conditions can be used to assist the interference source analysis model to distinguish the type of interference source.
  • the noise floor is analyzed, that is, the interference mean and standard deviation of the noise floor are calculated, and the interference mean and preset are calculated.
  • the threshold interference mean, standard deviation and the preset threshold standard deviation are compared, and the stability of the signal is judged according to the result, and then the interference source type is analyzed.
  • FIG. 4A is a schematic diagram of first measurement data in a frequency domain of Embodiment 4 of an interference source analysis method according to the present invention
  • FIG. 4B is a schematic diagram of a filtered bottom noise signal in FIG. 4A
  • FIG. 4C is a fourth embodiment of an interference source analysis method according to the present invention
  • 2D is a schematic diagram of the second measured data in the frequency domain
  • FIG. 4D is a schematic diagram of the filtered bottom noise signal in FIG. 4C, wherein, in FIG. 4A to FIG. 4D, the solid line curves respectively represent the original data in each figure, and the dotted line The curves represent the smoothed filtered data obtained by smoothing the original data in each graph.
  • the noise floor filtered by the smoothing filter in FIG. 4A is filtered by the bottom noise filtering algorithm, thereby obtaining FIG. 4B.
  • the noise floor signal is calculated by the interference mean calculation formula and the standard deviation calculation formula.
  • ⁇ is the interference mean
  • N is the number of frequency points
  • X is the standard deviation
  • the calculation result of the interference mean is 104.6 dBm, and the standard deviation is 4.2. If the preset interference mean threshold is -100 dBm, the preset The threshold value of the standard deviation is 5, which means that the noise of the noise floor is smaller, the signal is more stable, and the noise floor noise is lower. At this time, there is no interference source in the noise floor, and there is no possible interference when smoothing the filter. The source is filtered out.
  • FIG. 4C and FIG. 4D The bottom noise filtered by the smoothing filter in FIG. 4C is filtered by the bottom noise filtering algorithm, thereby obtaining FIG. 4D.
  • the noise floor interference of the 38-73 band and the 82-124 band is filtered by the smoothing filter in Fig. 4C.
  • the calculation result of the interference mean is -96dBm, and the calculation result of the standard deviation is 7 .
  • the preset interference mean threshold is -100 dBm
  • the preset standard deviation The threshold value is 5, which indicates that the noise floor noise is high and the signal stability is poor.
  • correlation analysis is performed on the measurement data of different time periods by using the full frequency point traversal adaptive model.
  • the following frequency point set may be set in advance as the analysis result of the interference source.
  • the interference source can be analyzed as a CDMA interference source; when the frequency traverses the result In compliance with broadband interference (full-band or partial-band interference), the interference source can be analyzed as a broadband wireless repeater interference source; when the frequency traversal results, only the carrier's frequency band interference exists, the Interference is analyzed as a source of interference from the frequency selective repeater.
  • the present invention is not limited thereto.
  • the result of the frequency traversal can still be matched by the interference analysis source model to obtain correlation, or by the difference of different time periods. The values are smoothed to analyze the source of the interference.
  • the interference source analysis method provided by the embodiment of the present invention filters out the noise floor filtered by the smoothing filter, and obtains the interference mean and the standard deviation of the noise floor signal to determine the strength of the noise floor interference to obtain the stability of the signal, and then according to the signal. Stability ⁇ Different interference analysis source models are used to distinguish interference sources, and the types of interference sources can be distinguished accurately and quickly.
  • the frequency domain characteristics of the interference source need to be analyzed, and the interference source analysis model is established by using an algorithm.
  • the interference source analysis model can be divided into two categories, the first type is a known interference frequency point result model, and the second type is a full frequency point traversal adaptive interference model known interference frequency.
  • the point result model is an interference analysis source model that can simulate the characteristics of the actual interference frequency point by using the preset cell frequency point information, for example, obtaining the measurement data of the to-be-analyzed cell from the base station side uplink frequency point scanning or the frequency allocation supporting FAS, based on The configuration of the cell is simulated by intermodulation products to establish an intermodulation interference model; or, the uplink frequency point scanning or the frequency allocation support FAS of the base station side obtains measurement data of the to-be-analyzed cell, and calculates the slope and intercept of the measurement data to establish CDMA interference model.
  • the full-frequency point traversal adaptive interference model is an interference analysis source model established according to the interference characteristics of the unpredictable interference frequency point, such as a burst frequency band or a frequency band interference such as a broadband repeater, a frequency selective repeater, and an active device.
  • the specific frequency of such interference cannot be predicted in advance.
  • the measurement data of the cell to be analyzed can be obtained from the uplink frequency point scanning or the frequency allocation support FAS of the base station side, and the electrical average value of the measured data, the mean level of the noise floor, and the isolation of the noise floor noise of the adjacent frequency domain are calculated.
  • the noise floor standard deviation can be used to screen out the noise floor and get the interference frequency and non-interference frequency.
  • Sexuality using the characteristics of adaptive interference sources to analyze the type of interference source.
  • the known interference frequency result model is a directly established specific model, such as a mutual interference model, a CDMA interference model, etc., and a correlation matching algorithm is performed by using the measurement data of the frequency domain of the cell to be analyzed and the interference source model.
  • the actual interference analysis, and the full-frequency traversal adaptive interference model is obtained by traversing the unknown interference frequency points, and then correlating the extracted interference frequency points with the actual possible interference sources, with the characteristics of adaptive interference sources.
  • the full-frequency point traversal adaptive interference model when using the full-frequency point traversal adaptive interference model to correlate the measurement data in the frequency domain, when the filtering result is full-band interference, it may be the interference of the broadband wireless repeater; when the filtering result is the carrier frequency band When interference occurs, it may interfere with the operator's fiber optic repeater.
  • the filtering result is that the individual frequency is raised and the noise floor is normal, there may be interference from the frequency selective repeater.
  • FIG. 5 is a schematic structural diagram of Embodiment 1 of an interference source analyzing apparatus according to the present invention.
  • the apparatus in this embodiment may include: an acquiring module 1 1 , a processing module 13 , and a determining module 14 .
  • the obtaining module 11 is configured to obtain measurement data, and the measurement data is obtained by performing frequency point scanning on the frequency band to be analyzed or frequency allocation support for the frequency band to be analyzed, and obtaining the FAS statistics;
  • the processing module 13 is configured to select an interference source analysis model to perform frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model;
  • the determining module 14 is configured to determine, if the measurement data is related to the interference source analysis model, that the interference source corresponding to the interference source analysis model exists in the frequency band to be analyzed; otherwise, determine that the interference frequency analysis model does not exist in the frequency band to be analyzed.
  • the interference source wherein the interference source analysis model includes a known frequency interference result model and a full frequency point traversal adaptive interference model.
  • the device in this embodiment can be used to implement the technical solution of the embodiment shown in FIG. 1 , and the implementation principle and the technical effect type are not described herein.
  • Embodiment 2 is a schematic structural diagram of Embodiment 2 of the interference source analysis apparatus of the present invention. As shown in FIG. 6, the apparatus of this embodiment is further based on the apparatus structure shown in FIG. 5, and further includes a filter module 12.
  • the filtering module 12 is configured to perform smoothing filtering on the measurement data acquired by the obtaining module 11 to obtain smooth filtered measurement data.
  • the processing module 13 is specifically configured to perform frequency domain correlation analysis on the smoothed filtered measurement data by using a known interference frequency result model to determine whether the measurement data is related to the known interference frequency result model. Further, the obtaining module 11 is specifically configured to perform frequency point scanning or FAS statistics on the frequency band to be analyzed in the first time period to obtain first measurement data;
  • the processing module 13 is configured to perform frequency domain correlation analysis on the first difference value and the second difference value by using a known interference frequency point result model to obtain a difference correlation analysis result;
  • the determining module 14 is specifically configured to: if the difference correlation analysis result is greater than the preset threshold, determine that the interference source corresponding to the known interference frequency result model exists in the frequency band to be analyzed; otherwise, determine that the frequency band to be analyzed does not exist.
  • the source of interference corresponding to the known interference frequency result model is specifically configured to: if the difference correlation analysis result is greater than the preset threshold, determine that the interference source corresponding to the known interference frequency result model exists in the frequency band to be analyzed; otherwise, determine that the frequency band to be analyzed does not exist. The source of interference corresponding to the known interference frequency result model.
  • the determining module 14 is configured to perform frequency domain correlation analysis on the first measurement data, the second measurement data, and the third measurement data by using a full frequency point traversal adaptive interference model; and if the first measurement data and the second measurement Both the data and the third measurement data are related to the full-frequency traversal adaptive interference model, and it is determined that the frequency band to be analyzed has an interference source corresponding to the full-frequency traversal adaptive interference model. Otherwise, there is no full-frequency traversal adaptation.
  • the interference model is directed to the corresponding interference source.
  • processing module 13 is specifically configured to:
  • the bottom noise filtering algorithm is used to filter out the noise floor in the measured data, calculate the interference mean and standard deviation of the noise floor, and use the full frequency point traversal adaptive model to measure the noise floor in the measured data according to the interference mean and standard deviation of the noise floor.
  • a frequency domain correlation analysis is performed to determine if the measurement data is related to the interference source analysis model.
  • the device of the present embodiment can be used to implement the technical solution of the corresponding method embodiment of FIG. 2A to FIG. 2C or FIG. 3A to FIG. 3E.
  • the implementation principle and technical effects are similar, and details are not described herein again.
  • FIG. 7 is a schematic structural diagram of Embodiment 3 of the interference source analysis apparatus according to the present invention. As shown in FIG. 7, the apparatus of this embodiment is further based on the apparatus structure shown in FIG. 6, and further includes a modeling module 10.
  • the modeling module 10 is configured to establish a known frequency interference result model and a full frequency point traversal adaptive interference model. Further, the modeling module 10 is specifically configured to establish an intermodulation interference model and/or a CDMA interference model.
  • modeling module 10 is specifically configured to establish a frequency interference model and/or a broadband interference analysis model.
  • the device of this embodiment can be used to implement the technical solution of the method embodiment corresponding to FIG. 4A to FIG. D.
  • the implementation principle and technical effects are similar, and details are not described herein again.
  • FIG. 8 is a schematic structural diagram of Embodiment 4 of the interference source analyzing apparatus according to the present invention.
  • the interference source analyzing apparatus 800 of this embodiment includes at least one processor 801 and a memory 805.
  • the interference source analyzing device 800 may further include at least one network interface 804 or other user interface 803 and at least one communication bus 802.
  • Communication bus 802 is used to implement connection communication between devices.
  • the user interface 803 can include a display, a keyboard, or a pointing device.
  • the memory 805 may include a high speed RAM memory and may also include a non-volatile memory such as at least one disk memory.
  • the memory 805 can optionally include at least one storage device located remotely from the aforementioned processor 801.
  • the memory 805 stores program code for implementing the following method:
  • the interference source analysis model includes a known frequency interference result model and a full frequency point traversal adaptive interference model.
  • the processor 801 is configured to execute program code stored in the memory 805.
  • the interference source analyzing apparatus 800 provided in this embodiment may further include a core component for processing a service, which is not related to the specific purpose of the embodiment, and is not described herein.
  • the method for implementing the program code further includes: smoothing the measurement data to obtain smoothing filtering before selecting an interference source analysis model to perform frequency domain correlation analysis on the measurement data to determine whether the measurement data is correlated with the interference source analysis model. Post measurement data;
  • an interference source analysis model to perform frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model, including: Using the known interference frequency result model, the smoothed filtered measurement data is subjected to frequency domain correlation analysis to determine whether the measurement data is related to the known interference frequency result model.
  • the obtaining the measurement data may include: performing frequency point scanning or FAS statistics on the frequency band to be analyzed in the first time period to obtain the first measurement data, and performing frequency point scanning or FAS statistics on the frequency band to be analyzed in the second time period to obtain the second measurement. Data, performing frequency point scanning or FAS statistics on the analysis frequency band in the third time period to obtain third measurement data, calculating a first difference between the first measurement data and the second measurement data, and calculating the second measurement data and the third measurement data Second difference
  • the above selection of an interference source analysis model performs frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model, including:
  • the method for implementing the program code further includes: after using the known interference frequency point result model to perform frequency domain correlation analysis on the first difference value and the second difference value, using the full frequency point traversal adaptive interference model, Performing frequency domain correlation analysis on the first measurement data, the second measurement data, and the third measurement data; if the first measurement data, the second measurement data, and the third measurement data are all related to the full frequency point traversal adaptive interference model, It is determined that the frequency band to be analyzed has an interference source corresponding to the full frequency point traversal adaptive interference model. Otherwise, there is no corresponding source of the full frequency point traversal adaptive interference model.
  • the method for implementing the program code further includes: filtering, by using an interference source analysis model, the frequency domain correlation analysis of the measurement data to determine whether the measurement data is related to the interference source analysis model, and filtering by using a noise floor filtering algorithm.
  • the noise floor in the measured data is calculated; the interference mean and standard deviation of the noise floor are calculated, and the frequency domain correlation analysis of the noise floor in the measured data is performed by using the full frequency point traversal adaptive model according to the interference mean and standard deviation of the noise floor. Determine if the measurement data is related to the interference source analysis model.
  • the method for implementing the foregoing program code further includes: establishing a known frequency interference before selecting an interference source analysis model to perform frequency domain correlation analysis on the measurement data to determine whether the measurement data is related to the interference source analysis model.
  • the resulting model and the full-frequency point traverse the adaptive interference model.
  • establishing a known frequency interference result model includes: establishing an intermodulation interference model and/or a CDMA dry 4 special model.
  • establishing a full-frequency point traversal adaptive interference model includes: establishing a frequency interference model and/or a broadband interference analysis model.
  • the FAS obtains the frequency point scan data to obtain the frequency measurement data, and uses the established interference source analysis model to perform correlation analysis on the measurement data in the above frequency domain. Finally, the interference source type is judged according to the correlation analysis result.
  • the interference source analysis method provided by the embodiment of the present invention analyzes the type of the interference source according to different interference source analysis models, greatly improves the accuracy of the uplink interference, and the efficiency of the check, and performs intermodulation, CDMA, broadband, frequency, other operators, and the like. Interference enables fast and accurate positioning, and the type of interference source is analyzed to improve network quality.
  • the method includes the steps of the foregoing method embodiments; and the foregoing storage medium includes: a medium that can store program codes, such as a ROM, a RAM, a magnetic disk, or an optical disk.

Abstract

Dans un mode de réalisation, la présente invention se rapporte à un procédé et à un dispositif adaptés pour analyser une source d'interférence. Le procédé selon l'invention consiste : à acquérir des données de mesurage ; à sélectionner un modèle d'analyse de source d'interférence, pour analyser la corrélation dans le domaine fréquentiel des données de mesurage, et pour déterminer si les données de mesurage sont liées au modèle d'analyse de source d'interférence, ou non ; si le résultat de la détermination est positif, à déterminer alors que la bande de fréquences devant être analysée a une source d'interférence qui correspond au modèle d'analyse de source d'interférence ; ou bien, si le résultat de la détermination est négatif, à déterminer alors que la bande de fréquences devant être analysée n'a pas de source d'interférence qui correspond au modèle d'analyse de source d'interférence. Le procédé adapté pour analyser une source d'interférence, selon le mode de réalisation de la présente invention, présente les avantages suivants : il analyse un type de source d'interférence sur la base de différents modèles d'analyse de source d'interférence ; il améliore de façon significative la précision équipotentielle et l'efficacité de détection des pannes d'une interférence sur la liaison montante ; et il peut localiser, rapidement et avec précision, une porteuse d'intermodulation, une porteuse CDMA, une porteuse à large bande, ou d'autres porteuses à un point de fréquence, et même d'autres types d'interférence. En cela, le procédé selon l'invention est apte à déterminer le type de la source d'interférence et, partant, à améliorer la qualité d'un réseau.
PCT/CN2012/085440 2012-11-28 2012-11-28 Procédé et dispositif d'analyse de source d'interférence WO2014082222A1 (fr)

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CN111031609B (zh) * 2018-10-10 2023-10-31 鹤壁天海电子信息系统有限公司 一种信道的选择方法及装置
CN115278754A (zh) * 2022-07-08 2022-11-01 中国联合网络通信集团有限公司 受激干扰源的确定方法、装置及计算机可读存储介质

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