WO2010045784A1 - 一种移动通信干扰源确定方法及设备 - Google Patents

一种移动通信干扰源确定方法及设备 Download PDF

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Publication number
WO2010045784A1
WO2010045784A1 PCT/CN2009/001162 CN2009001162W WO2010045784A1 WO 2010045784 A1 WO2010045784 A1 WO 2010045784A1 CN 2009001162 W CN2009001162 W CN 2009001162W WO 2010045784 A1 WO2010045784 A1 WO 2010045784A1
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WO
WIPO (PCT)
Prior art keywords
interference
base station
interference signal
determining
time point
Prior art date
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PCT/CN2009/001162
Other languages
English (en)
French (fr)
Inventor
康绍莉
孙长果
吴柯维
Original Assignee
大唐移动通信设备有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 大唐移动通信设备有限公司 filed Critical 大唐移动通信设备有限公司
Priority to EP09821505.6A priority Critical patent/EP2363967A4/en
Priority to KR1020117011418A priority patent/KR101317846B1/ko
Publication of WO2010045784A1 publication Critical patent/WO2010045784A1/zh

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/345Interference values
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0205Details
    • G01S5/0215Interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/20Monitoring; Testing of receivers
    • H04B17/26Monitoring; Testing of receivers using historical data, averaging values or statistics
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/20Monitoring; Testing of receivers
    • H04B17/27Monitoring; Testing of receivers for locating or positioning the transmitter
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/318Received signal strength
    • H04B17/327Received signal code power [RSCP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/336Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842Weighted combining
    • H04B7/086Weighted combining using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04JMULTIPLEX COMMUNICATION
    • H04J11/00Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023Interference mitigation or co-ordination
    • H04J11/005Interference mitigation or co-ordination of intercell interference
    • H04J11/0056Inter-base station aspects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/0001Arrangements for dividing the transmission path
    • H04L5/0014Three-dimensional division
    • H04L5/0023Time-frequency-space
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058Allocation criteria
    • H04L5/0073Allocation arrangements that take into account other cell interferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic

Definitions

  • the present invention relates to the field of mobile communications, and in particular, to a mobile communication interference source determining method and device. Background technique
  • interference In mobile communication systems, there are often various types of interference, such as intra-channel interference and out-of-system interference. Some of the interferences are strong enough to prevent one or even multiple sites from working, so that the UE (User Equipment) cannot be accessed, and the impact is very bad. Therefore, if the interference arrival direction and the interference position can be quickly located, the network maintenance personnel can help the network maintenance personnel to quickly eliminate the interference, so that the interfered network can be restored to normal.
  • UE User Equipment
  • the present invention provides a method and a device for determining a mobile communication interference source, which are used to solve the problem that it is difficult to determine an interference source in the prior art.
  • An embodiment of the present invention provides a method for determining a mobile communication interference source, including:
  • the first direction in which the interference source is located is calculated by the DOA estimation according to the first interference signal.
  • the method further comprises: Determining the interfered second base station;
  • the method further comprises:
  • the location of the interference source is determined according to the direction in which the interference source determined by each base station is located and the location of the base station.
  • the time point is a time point on a frequency point of the base station sector that is most interfered.
  • the direction in which the interference source is located is calculated by the DOA estimation according to the interference signal, including: determining an interference space covariance matrix of the interference signal according to the interference signal;
  • the direction of arrival is determined to be the direction in which the interference source is located.
  • the direction of the interference source is calculated by the DOA estimation according to the interference signal, including: counting the interference spatial covariance matrix of the interference signal at multiple time points in a certain time, and the interference space covariance matrix is calculated by using the interference signal ;
  • the direction of arrival is determined to be the direction in which the interference source is located.
  • the direction of the interference source is calculated by the DOA estimation according to the interference signal, including: counting the interference spatial covariance matrix of the interference signal at multiple time points in a certain time, and the interference space covariance matrix is calculated by using the interference signal ;
  • the mean is the direction in which the interference source is located.
  • the method before determining the interference signal of the base station at the time point, the method further includes: determining whether there is service access at the time point;
  • the method when determining the interference signal of the base station at the time point, the method further includes: performing channel estimation on the received signal when determining that there is currently a service access at the time point; performing channel estimation result post-processing, determining the middle Channel estimation corresponding to the user and channel estimation corresponding to the interference signal;
  • An embodiment of the present invention further provides a mobile communication interference source determining apparatus, including:
  • a base station determining module configured to determine the interfered first base station
  • a time point determining module configured to determine, according to the interference signal code power of the first base station, a frequency point at which the first base station sector is interfered, and a first time point at which the frequency point is interfered;
  • An interference signal determining module configured to determine a first interference signal of the first base station at the first time point
  • a direction determining module configured to calculate, according to the first interference signal, a first direction in which the interference source is located by using the DOA estimation.
  • the base station determining module is further configured to determine the interfered second base station;
  • the time point determining module is further configured to determine, according to the interference signal code power of the second base station, a frequency point at which the second base station sector is interfered And a second time point at which the frequency is disturbed;
  • the interference signal determining module is further configured to determine a second interference signal of the second base station at the second time point;
  • the direction determining module is further configured to calculate, according to the second interference signal, a second direction in which the interference source is located by using a DOA estimation;
  • a location determining module configured to determine, according to the first direction and the second direction, and the location of the base station, a location where the interference source is located.
  • the base station determining module is further configured to determine a group of interfered base stations including the first base station, where the number of the interfered base stations is greater than 2;
  • the time point determining module is further configured to determine, according to an interference signal code power of each base station in the group of base stations, a frequency point at which each base station sector is interfered, and a time point at which the frequency point is interfered; the interference The signal determining module is further configured to determine an interference signal of each base station at the time point;
  • the direction determining module is further configured to calculate, according to each of the interference signals, a direction in which the interference source determined by each base station is located by using a DOA estimation;
  • the location determining module is further configured to determine a location of the interference source according to a direction in which the interference source determined by each of the base stations is located and a location of the base station.
  • the time point determining module is further configured to determine a time point on a frequency point where the most interfered frequency point on the base station sector is the interfered frequency point.
  • the direction determining module is further configured to: after determining an interference spatial covariance matrix of the interference signal according to the interference signal, calculate the arrival direction of the interference signal by using the DOA estimation; and determine the arrival The direction is the direction in which the interference source is located.
  • the direction determining module is further configured to calculate an interference spatial covariance matrix of the interference signal at multiple time points in a certain time, and the interference space covariance matrix is calculated by using a jamming signal.
  • the interference space covariance matrix is calculated by using a jamming signal.
  • the direction determining module is further configured to calculate an interference spatial covariance matrix of the interference signal at multiple time points in a certain time period, where the interference space covariance matrix is calculated by using the interference signal;
  • a plurality of interference space covariance matrices respectively perform DOA estimation, and after calculating the arrival directions of the plurality of interference signals, calculating an average value of the arrival directions of the plurality of interference signals; and determining the direction in which the average value is the direction of the dry source.
  • the method further comprises:
  • a service processing module configured to determine whether there is service access at the time point before determining an interference signal of the base station at the time point; determining that the base station is at the time when determining that there is no service access at the time point The interference signal at the point; when it is determined that there is currently a service access at the time point, waiting for the service to exit, or forcing the service to exit, determining the interference signal of the base station at the time point.
  • the interference signal determining module is further configured to perform channel estimation on the received signal when determining that there is currently a service access at the time point; and perform channel estimation result post-processing to determine a channel estimation and interference corresponding to the user.
  • Channel estimation corresponding to the signal and> calculating the interference space covariance matrix according to the channel estimation corresponding to the interference signal.
  • the frequency of the interference of the first base station sector and the time point of the interference at the frequency point are determined according to the interference signal code power of the interfered base station; and the interference signal is adopted according to the interference signal at the time point.
  • the DOA estimates the direction in which the source of the interference is located.
  • the direction of the interference source is calculated by the DOA estimation according to the interference signal at the time point of the other interfered base station; the position of the interference source can be determined according to the two directions.
  • a group of interfered base stations can be determined, and a direction of a group of interference sources is calculated by the group of base stations, and the direction of the group of interference sources and the location of the base station are determined according to the direction of the group of interference sources.
  • the location of the interference source allows for a more accurate source location. Therefore, the method and device provided by the embodiments of the present invention can quickly locate interference after the occurrence of interference, which greatly facilitates network maintenance work, thereby further enhancing the value of the communication system using the small-pitch smart antenna.
  • FIG. 1 is a schematic flowchart of a method for determining a mobile communication interference source according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a mobile communication interference source determining device according to an embodiment of the present invention.
  • the direction of signal arrival can be judged by the smart antenna. If only a single station is interfered, the direction of arrival of the interference can be quickly located. If there are multiple stations that are interfered, not only can the direction of the interference be quickly located, but also Quickly locate the location of the source of interference. It is known to those skilled in the art that the azimuth estimation of the signal can be performed by a small pitch smart antenna, and the azimuth estimation of the interference source can also be performed by a small pitch smart antenna.
  • the main idea of the embodiment of the present invention is that, after the interference is generated, if only a single station is interfered, the interference arrival direction may be estimated by using a DOA (Direct Direction of Arrival) estimation method, if there are multiple If the station is disturbed, the direction of arrival of each station with interference can be estimated. Then, according to the latitude and longitude information of each station, the specific location of the interference source can be calculated by the ray intersection method.
  • DOA Direct Direction of Arrival
  • FIG. 1 is a schematic flowchart of a method for determining a mobile communication interference source according to an embodiment of the present invention. As shown in the figure, the following steps may be included:
  • Step 101 Determine a first base station that is interfered with
  • Step 102 Determine, according to an ISCP (Interference Signal Code Power) of the first base station, a frequency point at which the first base station sector is interfered, and a first time when the frequency is disturbed.
  • ISCP Interference Signal Code Power
  • Step 103 Determine a first interference signal of the first base station at the first time point.
  • Step 104 Calculate, according to the first interference signal, a first direction in which the interference source is located by using DOA estimation.
  • an interfered base station is selected according to step 101.
  • the first base station is determined.
  • the interfered sectors, frequency points, and time points may be determined according to the reported ISCP in step 102.
  • Information in this step, if multiple frequency points or sectors are interfered, the sector, frequency and time point with the strongest interference may be selected, or one time point of interference may be selected. Because the interference source can be determined at any time when the interference source is certain, the direction of the interference source can be determined. Because the signal with the strongest interference time is stronger, it is more convenient to handle.
  • step 103 may be performed to determine a first interference signal of the first base station at the first time point, and then step 104 may be performed according to the interference signal to obtain an interference space covariance matrix, and perform The DOA estimates to determine the first direction in which the source of interference is located.
  • the DOA estimation method is used to calculate the direction of the interference source according to the interference signal, which can be performed in the following three ways:
  • the first way first determining the interference space covariance matrix of the interference signal according to the interference signal;
  • the arrival direction of the interference signal is calculated by the DOA estimation according to the interference space covariance matrix
  • the direction of arrival is determined as the direction in which the interference source is located.
  • the interference spatial covariance matrix of the interference signal at multiple time points in a certain time is counted, and the interference space covariance matrix is calculated by using the interference signal;
  • the direction of arrival is determined as the direction in which the interference source is located.
  • the third way Statistics for a certain time, DOA estimation is performed multiple times, and the average value of multiple DOAs is obtained, and the DOA average value is used as the arrival direction of the interference signal.
  • the specific implementation can be as follows: Interference space covariance matrix of the interference signal at a time point, and the interference space covariance matrix is calculated by using the interference signal;
  • the mean is determined as the direction in which the interference source is located.
  • N is the length of the interference signal, depending on the actual system; Ka is the number of antennas, such as 6 antennas, 8 antennas, etc.
  • R ( z ') of the interference signal, i LN :
  • Step 2 Find the mean value of the interference space covariance matrix R:
  • Step 3 estimate the arrival direction of the interference signal by interfering with the mean value R of the spatial covariance matrix.
  • Step 4 Determine that the direction of arrival is the direction in which the interference source is located.
  • the direction of the interference source can be determined, and further, the same party
  • the other direction in which the interference source is located is determined by the next interfered base station, so that the specific location of the interference source can be accurately determined by the two directions.
  • the mobile communication interference source determining method provided by the embodiment of the present invention may further include:
  • the second time point can be the time point on the frequency point of the most disturbed sector, or any one time point.
  • a more feasible and more accurate interference source location is obtained, and a group of interfered base stations can also be used for interference source location, and a group of base stations are used for interference source location.
  • the method may further include the following steps:
  • the location of the interference source is determined according to the direction in which the interference source determined by each base station is located and the location of the base station.
  • the obtained direction will be the direction of the interference source determined by each of the interfered base stations.
  • each direction can be expressed by coordinates, and the manner of determining the location of the interference source can be determined at this time. as follows: Let the coordinates of the location of the interference source be ( X , , then pass the base station position and the direction of the interference arrival. According to the polar coordinates, a set of equations can be obtained:
  • the base station position coordinate is (3 ⁇ 4, ), which is the interference arrival direction, and K is greater than 2, and the interference source position can be obtained by solving the equation.
  • the two directions can be used to determine the location of the interference source
  • the interference source in order to more accurately locate the interference source, the interference source can be positioned and oriented multiple times, and the multiple measurement results are averaged. The reliability of positioning and orientation results can be enhanced. That is, if there are N base stations that are interfered, one direction can be obtained according to each of the base stations, and then the location of the interference source is determined according to the location of each base station and the direction of arrival of the interference received by each base station.
  • the interference source is connected to the two interfered base stations.
  • the method when determining the time point of the interference source direction analysis, it may further confirm whether there is currently no service access at the selected time point, and if there is a service access, it may wait for the service to exit, or force the service to exit. . In fact, when affected by strong interference, UEs often cannot access. That is, before determining the interference signal of the base station at the time point, the method further includes:
  • the interference arrival direction estimation may also be performed, that is, the interference source may also be determined after the processing is currently performed at the selected time point.
  • determining the interference signal of the base station at the time point can be implemented as follows: Channel estimation of the received signal;
  • the channel estimation corresponding to the user may be determined as a useful path signal in the post-processing of the channel estimation result, and the interference The channel corresponding to the signal is estimated as a useless path signal in the post-processing of the channel estimation result;
  • the interference space covariance is performed according to the useless path signal The calculation of the matrix.
  • the channel estimation corresponding to the user is determined as the useful path signal in the post-processing of the channel estimation result.
  • the specific implementation scheme may be as follows:
  • Step 1 First, perform channel estimation on the received signal at the time point.
  • Step 2 Perform post-processing on the channel estimation result to determine the useful path signal and the useless path signal.
  • the determination of the useful path signal and the useless path signal in this step may be performed after the conventional channel estimation result.
  • Step three calculating interference spatial covariance matrix by using interference and noise in channel estimation
  • the interference direction of the interference signal is estimated by the interference space covariance matrix R ".
  • Step 5 According to the azimuth angle of the antenna, the angle of the anti-clockwise direction of the interference signal arrival direction is calculated.
  • a mobile communication interference source determining apparatus is further provided in the embodiment of the present invention. Since the concept of the device solving the problem is the same as the foregoing method, the implementation manner of the mobile communication interference source determining method may be referred to in the processing scheme. , the place of repetition is no longer explained.
  • 2 is a schematic structural diagram of a mobile communication interference source determining device according to an embodiment of the present invention. As shown in the figure, the interference source determining device may include:
  • the base station determining module 201 is configured to determine the interfered first base station
  • the time point determining module 202 is configured to determine, according to an ISCP of the first base station, a frequency point at which the first base station sector is interfered, and a first time point at which the frequency point is interfered;
  • the interference signal determining module 203 is configured to determine a first interference signal of the first base station at the first time point;
  • the direction determining module 204 is configured to calculate, according to the first interference signal, a first direction in which the interference source is located by using the DOA estimation.
  • the base station determining module 201 determines the first base station that is interfered; and then the time point determining module 202 determines, according to the ISCP of the first base station, the frequency point at which the first base station sector is interfered, and the interfered frequency at the frequency point. a time point; the interference signal determining module 203 determines the first interference signal of the first base station at the first time point; the direction determining module 204 can calculate the interference source by using the DOA estimation according to the first interference signal.
  • the first direction In the above manner, the direction in which the interference source is located can be obtained. In order to accurately determine the position of the interference source, another interfered base station can be used to determine a direction, and the two directions are used to determine the exact location of the interference source. .
  • each function module can further perform the following functions.
  • the base station determining module 201 is further configured to determine the interfered second base station
  • the time point determining module 202 is further configured to determine, according to an ISCP of the second base station, a frequency point at which the second base station sector is interfered, and a second time point at which the frequency point is interfered;
  • the interference signal determining module 203 is further configured to determine a second interference signal of the second base station at the second time point;
  • the direction determining module 204 is further configured to calculate, according to the second interference signal, a second direction in which the interference source is located by using the DOA estimation;
  • the device may further include:
  • the location determining module 205 is configured to determine, according to the first direction and the second direction, and the location of the base station, a location where the interference source is located. Further, the location of the interference source may be determined by a group of interfered base stations, where the base station determining module 201 is further configured to determine a group of interfered base stations including the first base station, the group The number of interfered base stations is greater than 2;
  • the time point determining module 202 is further configured to determine, according to the interference signal code power of each base station in the group of base stations, a frequency point at which each base station sector is interfered, and a time point at which the frequency point is interfered;
  • the interference signal determining module 203 is further configured to determine an interference signal of each base station at the time point;
  • the direction determining module 204 is further configured to calculate, according to each of the interference signals, a direction in which the interference source determined by each base station is located by using DOA estimation;
  • the location determining module 205 is further configured to determine a location of the interference source according to the direction in which the interference source determined by each of the base stations is located and the location of the base station.
  • the time point determining module 202 may be further configured to determine a time point on the frequency point where the most interfered frequency point on the base station sector is the interfered frequency point.
  • the direction determining module 204 calculates the direction of the interference source according to the interference signal by using the DOA estimation
  • the direction determining module 204 can be implemented in the following three manners:
  • the direction determining module 204 determines the interference spatial covariance matrix of the interference signal according to the interference signal, calculates the arrival direction of the interference signal by using the DOA estimation according to the interference space covariance matrix, and determines that the arrival direction is the interference source. The direction.
  • the direction determining module 204 collects an interference spatial covariance matrix of the interference signal at multiple time points in a certain time, the interference space covariance matrix is calculated by using the interference signal; and obtaining multiple interference space covariances of the statistics After the mean of the matrix, the arrival direction of the interference signal is calculated by the DOA estimation according to the mean value of the interference space covariance matrix; and the direction of arrival is determined as the direction in which the interference source is located.
  • the direction determining module 204 collects an interference spatial covariance matrix of the interference signal at a plurality of time points in a certain time, the interference space covariance matrix is calculated by using the interference signal; and the multiple interference space associations in the certain time period
  • the variance matrix is respectively subjected to DOA estimation, and after calculating the arrival directions of the plurality of interference signals, calculating the mean value of the arrival directions of the plurality of interference signals; and determining the mean value To interfere with the direction in which the source is located.
  • the device may further include:
  • the service processing module 206 is configured to determine, before determining the interference signal of the base station at the time point, whether there is service access at the time point; when determining that there is no service access at the time point, determining that the base station is in the The interference signal at the time point; when it is determined that there is currently a service access at the time point, waiting for the service to exit, or forcing the service to exit, determining the interference signal of the base station at the time point.
  • the interference signal determining module 203 is further configured to perform channel estimation on the received signal when determining that there is currently a service access at the time point; and perform channel estimation result post-processing to determine that the channel estimation and the interference signal corresponding to the user correspond to Channel estimation; and calculating the interference space covariance matrix according to the channel estimation corresponding to the interference signal.
  • the interference source is first oriented by using a single base station, and then the interference source is located by using multiple base stations. Therefore, fast interference is provided in the mobile communication system using the small-pitch smart antenna.
  • the direction judgment and positioning scheme can quickly locate the interference source after the occurrence of interference, which greatly facilitates the network maintenance work, thereby further enhancing the value of the communication system using the small pitch smart antenna.
  • embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

Description

一种移动通信干扰源确定方法及设备 技术领域
本发明涉及移动通信领域, 特别涉及一种移动通信干扰源确定方法及设 备。 背景技术
在移动通信系统中, 往往会受到各种各样的干扰, 例如系统内同频干扰 和系统外干扰。 其中有些干扰会强到足以使一个、 甚至多个成片的站点不能 工作, 使得 UE ( User Equipment, 用户设备) 不能接入, 影响非常恶劣。 因 此, 如果能够快速定位干扰到达方向和干扰位置, 就能帮助网络维护人员快 速的排除干扰, 从而使受到干扰的网络恢复正常。
现有技术中, 在干扰排查过程中, 通常都是通过对被干扰区域的特征进 行分析, 或者利用专门的测试仪表辅助分析判断, 显然, 其不足在于: 排查 过程比较盲目也比较复杂, 往往会花较多人力, 或者较长时间才能排查出干 扰。 发明内容
本发明提供一种移动通信干扰源确定方法及设备, 用以解决现有技术中 存在的难以对干扰源进行确定的问题。
本发明实施例提供了一种移动通信干扰源确定方法, 包括:
确定受干扰的第一基站;
根据第一基站的干扰信号码功率, 确定第一基站扇区受干扰的频点, 及 该频点上受干扰的第一时间点;
确定第一基站在所述第一时间点上的第一干扰信号;
根据所述第一干扰信号通过 DOA估计计算出干扰源所在的第一方向。 较佳地, 进一步包括: 确定受干扰的第二基站;
根据第二基站的干扰信号码功率, 确定第二基站扇区受干扰的频点, 及 该频点上受干扰的第二时间点;
确定第二基站在所述第二时间点上的第二干扰信号;
根据所述第二干扰信号通过 DOA估计计算出干扰源所在的第二方向; 根据所述第一方向与第二方向, 以及基站位置确定干扰源所在的位置。 较佳地, 进一步包括:
确定一组包括第一基站在内的受干扰的基站, 所述一组受干扰的基站数 目大于 2;
根据该组基站中的每个基站的干扰信号码功率, 确定每个基站扇区受干 扰的频点, 及该频点上受干扰的时间点;
确定每个基站在所述时间点上的干扰信号;
根据每个所述干扰信号通过 DOA估计计算出每个基站确定的干扰源所 在的方向;
根据所述每个基站确定的干扰源所在的方向以及基站位置确定干扰源所 在的位置。
较佳地, 所述时间点为基站扇区上被干扰最强的频点上的时间点。
较佳地, 根据干扰信号通过 DOA估计计算出干扰源所在的方向, 包括: 根据干扰信号确定干扰信号的干扰空间协方差矩阵;
根据所述干扰空间协方差矩阵通过 DOA估计计算出干扰信号的到达方 向;
确定所述到达方向为干扰源所在的方向。
较佳地, 根据干扰信号通过 DOA估计计算出干扰源所在的方向, 包括: 统计一定时间内多个时间点上干扰信号的干扰空间协方差矩阵, 所述干 扰空间协方差矩阵利用干扰信号计算得到;
求得所述多个干扰空间协方差矩阵的均值;
根据所述干扰空间协方差矩阵均值通过 DOA估计计算出干扰信号的到 达方向;
确定所述到达方向为干扰源所在的方向。
较佳地, 根据干扰信号通过 DOA估计计算出干扰源所在的方向, 包括: 统计一定时间内多个时间点上干扰信号的干扰空间协方差矩阵, 所述干 扰空间协方差矩阵利用干扰信号计算得到;
对所述一定时间内的多个干扰空间协方差矩阵分别进行 DOA估计,计算 出多个干扰信号的到达方向;
计算所述多个干 4尤信号的到达方向的均值;
确定所述均值为干扰源所在的方向。
较佳地, 所述确定基站在时间点上的干扰信号前, 进一步包括: 确定该时间点上是否有业务接入;
在确定该时间点上当前无业务接入时, 确定基站在所述时间点上的干扰 信号; 在确定该时间点上当前有业务接入时, 等待业务退出, 或者强迫业务 退出后, 确定基站在所述时间点上的干扰信号。
较佳地, 在所述确定基站在时间点上的干扰信号时, 进一步包括: 在确定该时间点上当前有业务接入时, 对接收信号进行信道估计; 进行信道估计结果后处理, 确定其中的用户对应的信道估计和干扰信号 所对应的信道估计;
根据所述干扰信号所对应的信道估计进行干扰空间协方差矩阵的计算。 本发明实施例还提供了一种移动通信干扰源确定设备, 包括:
基站确定模块, 用于确定受干扰的第一基站;
时间点确定模块, 用于根据第一基站的干扰信号码功率, 确定第一基站 扇区受干扰的频点, 及该频点上受干扰的第一时间点;
干扰信号确定模块, 用于确定第一基站在所述第一时间点上的第一干扰 信号;
方向确定模块,用于根据所述第一干扰信号通过 DOA估计计算出干扰源 所在的第一方向。 较佳地, 所述基站确定模块进一步用于确定受干扰的第二基站; 所述时间点确定模块进一步用于根据第二基站的干扰信号码功率, 确定 第二基站扇区受干扰的频点, 及该频点上受干扰的第二时间点;
所述干扰信号确定模块进一步用于确定第二基站在所述第二时间点上的 第二干扰信号;
所述方向确定模块进一步用于根据所述第二干扰信号通过 DOA估计计 算出干扰源所在的第二方向;
进一步包括:
位置确定模块, 用于根据所述第一方向与第二方向, 以及基站位置确定 干扰源所在的位置。
较佳地, 所述基站确定模块进一步用于确定一组包括第一基站在内的受 干扰的基站, 所述一组受干扰的基站数目大于 2;
所述时间点确定模块进一步用于根据该组基站中的每个基站的干扰信号 码功率, 确定每个基站扇区受干扰的频点, 及该频点上受干扰的时间点; 所述干扰信号确定模块进一步用于确定每个基站在所述时间点上的干扰 信号;
所述方向确定模块进一步用于根据每个所述干扰信号通过 DOA估计计 算出每个基站确定的干扰源所在的方向;
位置确定模块进一步用于根据所述每个基站确定的干扰源所在的方向以 及基站位置确定干扰源所在的位置。
较佳地, 所述时间点确定模块进一步用于确定基站扇区上被干扰最强的 频点上的时间点为受干扰的频点上的时间点。
较佳地, 所述方向确定模块进一步用于根据干扰信号确定干扰信号的干 扰空间协方差矩阵后, 居所述干扰空间协方差矩阵通过 DOA估计计算出干 扰信号的到达方向; 并确定所述到达方向为干扰源所在的方向。
较佳地, 所述方向确定模块进一步用于统计一定时间内多个时间点上干 扰信号的干扰空间协方差矩阵, 所述干扰空间协方差矩阵利用千扰信号计算 得到; 求得所述统计的多个干扰空间协方差矩阵的均值后, 根据所述干扰空 间协方差矩阵均值通过 DOA估计计算出干扰信号的到达方向; 并确定所述到 达方向为干 ύ源所在的方向。
较佳地, 所述方向确定模块进一步用于统计一定时间内多个时间点上干 扰信号的干扰空间协方差矩阵, 所述干扰空间协方差矩阵利用干扰信号计算 得到; 对所述一定时间内的多个干扰空间协方差矩阵分别进行 DOA估计, 计 算出多个干扰信号的到达方向后, 计算所述多个干扰信号的到达方向的均值; 并确定所述均值为干尤源所在的方向。
较佳地, 进一步包括:
业务处理模块, 用于在确定基站在所述时间点上的干扰信号前, 确定该 时间点上是否有业务接入; 在确定该时间点上当前无业务接入时, 确定基站 在所述时间点上的干扰信号; 在确定该时间点上当前有业务接入时, 等待业 务退出, 或者强迫业务退出后, 确定基站在所述时间点上的干扰信号。
较佳地, 所述干扰信号确定模块进一步用于在确定该时间点上当前有业 务接入时, 对接收信号进行信道估计; 并进行信道估计结果后处理, 确定其 中用户对应的信道估计和干扰信号所对应的信道估计; 并 >据所述干扰信号 所对应的信道估计进行干扰空间协方差矩阵的计算。
本发明有益效果如下:
本发明实施例中, 通过根据受干扰基站的干扰信号码功率, 确定第一基 站扇区受干扰的频点, 及该频点上受干扰的时间点; 并根据该时间点上的干 扰信号通过 DOA估计计算出干扰源所在的方向。
进一步地, 利用同样的方式, 根据另一个受干扰的基站时间点上的干扰 信号通过 DOA估计计算出干扰源所在的方向;便可以根据这两个方向确定出 干扰源所在的位置。
进一步地, 还可以利用同样的方式, 确定出一组受干扰的基站, 并通过 这一组基站计算出一组干扰源所在的方向, 并根据这一组干扰源所在的方向, 以及基站位置确定干扰源所在的位置, 从而可以获得更为准确的干扰源位置。 因此, 使用本发明实施例提供的方法及设备能在干扰出现之后迅速定位 干扰, 这给网络维护工作带来极大便利, 从而进一步增强了使用小间距智能 天线的通信系统的价值。 附图说明
图 1为本发明实施例中移动通信干扰源确定方法实施流程示意图; 图 2为本发明实施例中移动通信干扰源确定设备结构示意图。 具体实施方式
下面结合附图对本发明的具体实施方式进行说明。
本发明实施中, 是基于采用小间距智能天线的移动通信系统。 在这种系 统中, 能够通过智能天线对信号到达方向进行判断, 如果只有单站受到干扰, 则可以快速定位干扰到达方向, 如果存在多站受到干扰, 则不仅可以快速定 位干扰到达方向, 还能快速定位干扰源的位置。 本领域技术人员都知道, 通 过小间距智能天线能够进行信号的方位估计, 同样地, 也可以通过小间距智 能天线来进行干扰源的方位估计。 因此, 本发明实施例的主要思路是, 当干 扰产生之后,如果只有单个站受到干扰,则可以通过干扰信号 DOA ( Direction Of Arrival, 到达方向)估计的方法估计出干扰到达方向, 如果有多个站点受 到干扰, 则可以估计出每个站受到干扰的到达方向, 随后根据各个站点的经 纬度信息, 通过射线相交法, 便可以计算出干扰源的具体位置。
基于上述分析, 本发明实施例中提供了一种移动通信干扰源确定方法, 下面将进行说明。
图 1 为本发明实施例中移动通信干扰源确定方法实施流程示意图, 如图 所示, 可以包括如下步骤:
步骤 101、 确定受干扰的第一基站;
步骤 102、 根据第一基站的 ISCP ( Interference Signal Code Power, 干扰 信号码功率), 确定第一基站扇区受干扰的频点, 及该频点上受千扰的第一时 间点;
步骤 103、 确定第一基站在所述第一时间点上的第一干扰信号; 步骤 104、 根据所述第一干扰信号通过 DOA估计计算出干扰源所在的第 一方向。
首先需要按步骤 101 选定一个受干扰基站, 实施例中称为第一基站, 在 确定第一基站后, 便可以在步骤 102中根据上报的 ISCP确定受干扰的扇区、 频点和时间点信息, 本步骤中, 如果多个频点或者扇区受到干扰, 则可以挑 选受干扰最强的扇区、 频点和时间点, 或者任选一个受到干扰的时间点。 因 为在干扰源一定的情况下, 任一个受到干扰的时间点都可以确定出该干扰源 所在的方向, 由于受干扰最强的时间点信号更强, 因此更方便处理。
在确定时间点后, 便可以执行步骤 103确定第一基站在所述第一时间点 上的第一干扰信号,接着便可以根据该干扰信号执行步骤 104, 求得干扰空间 协方差矩阵, 并进行 DOA估计, 从而确定出干扰源所在的第一方向。
实施中, 根据干扰信号通过 DOA估计方法计算出干扰源所在的方向, 可 以按如下三种方式进行:
1 )、 第一种方式: 首先根据干扰信号确定干扰信号的干扰空间协方差矩 阵;
然后根据所述干扰空间协方差矩阵通过 DOA估计计算出干扰信号的到 达方向;
最后确定所述到达方向为干扰源所在的方向。
2 )、 第二种方式: 统计一定时间, 多次求得干扰空间协方差矩阵, 然后 求得这多个干扰空间协方差矩阵的均值, 利用干扰空间协方差矩阵均值通过 DOA估计方法计算出干扰信号的到达方向, 其具体的实施可以为:
首先统计一定时间内多个时间点上干扰信号的干扰空间协方差矩阵, 所 述干扰空间协方差矩阵利用干扰信号计算得到;
然后求得这多个干扰空间协方差矩阵的均值;
再利用所述干扰空间协方差矩阵均值通过 DOA估计计算出干扰信号的 到达方向;
最后确定所述到达方向为干扰源所在的方向。
3 )、 第三种方式: 统计一定时间, 多次进行 DOA估计, 并对求得的多次 DOA求均值, 利用 DOA均值作为干扰信号的到达方向, 具体实施可以为: 首先统计一定时间内多个时间点上干扰信号的干扰空间协方差矩阵, 所 述干扰空间协方差矩阵利用干扰信号计算得到;
然后对所述一定时间内的多个干扰空间协方差矩阵分别进行 DOA估计, 计算出多个到达方向;
再计算这多个到达方向的均值;
最后确定所述均值为干扰源所在的方向。
实施中, 由于现有的基站通常都具备终端定位功能, 因此现有的基站可 以进行本发明实施例中的 DOA估计的相关计算, 当然, 也可以使用具备计算 功能的单独设备进行 DOA估计。 上述第二种方式的具体执行可以如下: 步骤一、 获得各天线干扰信号, 设为: m , ka i = \ ...N,ka = \ ...KaN为干扰 信号长度, 随实际系统而定; Ka为天线个数, 如 6天线、 8天线等。 然后求 得干扰信号的干扰空间协方差矩阵 R(z'), i = LN :
R{m'n)(i) = m{i, m) * m(i, ),i = 1』,m = L.Ka, n = L.Ka。 其中, 确定干扰信号的干扰空间协方差矩阵的实施中以干扰信号的信号 长度与天线个数为参量来进行说明, 本领域技术人员容易明白其他能够确定 干扰信号的干扰空间协方差矩阵的方式也可以实现本步骤的目的。
步骤二、 求得干扰空间协方差矩阵均值 R :
Figure imgf000010_0001
步骤三、 按照现有 DOA估计方法, 通过干扰空间协方差矩阵均值 R , 估 计干扰信号的到达方向。
步骤四、 确定所述到达方向为干扰源所在的方向。
通过上述方案便可以确定出干扰源所在的方向, 进一步地, 按同样的方 式通过下一个受干扰的基站确定干扰源所在的另一个方向, 这样, 通过两个 方向就可以准确地确定出干扰源的具体位置。 即: 本发明实施例提供的移动 通信干扰源确定方法还可以进一步包括:
确定受干扰的第二基站;
根据第二基站的 ISCP, 确定第二基站扇区受干扰的频点, 及该频点上受 干扰的第二时间点;
确定第二基站在所述第二时间点上的第二干扰信号;
根据所述第二干扰信号通过 DOA估计计算出干扰源所在的第二方向; 然后根据所述第一方向与第二方向, 以及基站位置确定干扰源所在的位 置。
与上述实施例中一样, 第二时间点可以采用被干扰最强扇区的频点上的 时间点, 或者任意一个时间点。
具体实施中, 为了更好的适应实际需要, 得出更可行的、 也更为准确的 干扰源位置, 也可以采用一组受干扰的基站来进行干扰源定位, 采用一组基 站进行干扰源定位时, 所述方法还可以包括如下步骤:
确定一组包括第一基站在内的受干扰的基站, 所述一组受干扰的基站数 目大于 2;
根据该组基站中的每个基站的干扰信号码功率, 确定每个基站扇区受干 扰的频点, 及该频点上受干扰的时间点;
确定每个基站在所述时间点上的干扰信号;
根据每个所述干扰信号通过 DOA估计计算出每个基站确定的干扰源所 在的方向;
根据所述每个基站确定的干扰源所在的方向以及基站位置确定干扰源所 在的位置。
由上述实施可以看出, 得到的将是一组通过各个受干扰的基站判断出来 的干扰源所在方向, 显然每个方向都可以用坐标来进行表达, 则此时具体确 定干扰源位置的方式可以如下: 设干扰源位置的坐标为(X, , 则通过基站位置和干扰到达方向, 根据极 坐标, 可以得到一组方程:
y - yk = ί3η( )0 _ χ ,Λ: = L.Ji
其中, 基站位置坐标为(¾, ), 为干扰到达方向, 且 K大于 2, 解方程 即可得到干扰源位置。
虽然利用两个方向便可以确定出干扰源所在的位置, 但是在实际中, 为 了更加准确地对干扰源进行定位, 可以对干扰源进行多次定位和定向, 并对 多次测量结果进行平均,便可以加强定位和定向结果的可靠性。 即, 如果有 N 个基站受到干扰, 则可以根据其中各个基站分别求得一个方向, 然后再根据 各个基站位置和各个基站所受到干扰的到达方向, 确定干扰源所在的位置。
一般情况下, 只要两个方向便能确定出干扰源所在的位置, 但是特殊情 况下仅仅两个方向可能会导致定位不准甚至定位不出来, 例如, 干扰源在两 个受干扰基站的连线上, 就没法利用射线相交法求得干扰源所在的位置, 而 采用一组基站来进行定位, 便可避免该种情况。
在上述实施例中, 在确定进行干扰源方向分析的时间点时, 可以进一步 地确认选定时间点上当前有无业务接入, 如果有业务接入, 则可以等待业务 退出,或者强迫业务退出。 实际上,在受到强干扰影响时,往往 UE无法接入。 即在确定基站在该时间点上的干扰信号前, 可以进一步包括:
确定该时间点上是否有业务接入;
在确定该时间点上当前无业务接入时, 确定基站在所述时间点上的干扰 信号; 在确定该时间点上当前有业务接入时, 等待业务退出, 或者强迫业务 退出后, 确定基站在所述时间点上的干扰信号。
但是, 如果选定时间点上当前有业务接入, 则也可以进行干扰到达方向 估计, 即: 也可以在选定时间点上当前有业务接入的情况下, 在经过处理后 再确定干扰源所在的方向, 确定基站在该时间点上的干扰信号可以按以下方 案实施: 对接收信号进行信道估计;
进行信道估计结果后处理, 确定其中的用户对应的信道估计和干扰信号 所对应的信道估计; 具体实施中, 可以确定其中的用户对应的信道估计为信 道估计结果后处理中的有用径信号, 干扰信号所对应的信道估计为信道估计 结果后处理中的无用径信号;
根据所述干扰信号所对应的信道估计进行干扰空间协方差矩阵的计算; 若干扰信号所对应的信道估计为信道估计结果后处理中的无用径信号, 则是 根据无用径信号进行干扰空间协方差矩阵的计算。
确定其中的用户对应的信道估计为信道估计结果后处理中的有用径信 号, 干扰信号所对应的信道估计为信道估计结果后处理中的无用径信号时, 具体的实施方案可以如下:
步骤一、 首先对该时间点上的接收信号进行信道估计。
步骤二、 对信道估计结果进行后处理, 确定其中的有用径信号和无用径 信号, 这里的无用径信号可以看作是噪声和干扰。 实施例中可以设为 h" = [/¾",/¾",···, ], 其中, L为无用径的数目。
本步骤中的有用径信号和无用径信号的确定按常规的信道估计结果后处 理即可。
步骤三、 利用信道估计中的干扰和噪声计算干扰空间协方差矩阵;
R" = h"(h")w 步骤四、按照 DOA估计方法, 通过干扰空间协方差矩阵 R", 估计干扰信 号的到达方向。
步骤五、 根据天线方位角, 换算干扰信号到达方向相对正北方向的逆时 针夹角^
基于同一发明构思, 本发明实施例中还提供了一种移动通信干扰源确定 设备, 由于本设备解决问题的构思与上述方法相同, 因此在处理方案上可以 参考移动通信干扰源确定方法的实施方式, 重复的地方不再进行说明。 图 2为本发明实施例中移动通信干扰源确定设备结构示意图, 如图所示, 干扰源确定设备中可以包括:
基站确定模块 201, 用于确定受干扰的第一基站;
时间点确定模块 202, 用于根据第一基站的 ISCP确定第一基站扇区受干 扰的频点, 及该频点上受干扰的第一时间点;
干扰信号确定模块 203 ,用于确定第一基站在所述第一时间点上的第一干 扰信号;
方向确定模块 204, 用于根据所述第一干扰信号通过 DOA估计计算出干 扰源所在的第一方向。
实施中, 首先是基站确定模块 201 确定受干扰的第一基站; 然后时间点 确定模块 202根据第一基站的 ISCP确定第一基站扇区受干扰的频点,及该频 点上受干扰的第一时间点; 干扰信号确定模块 203再确定第一基站在所述第 一时间点上的第一干扰信号; 此时方向确定模块 204便可以根据所述第一干 扰信号通过 DOA估计计算出干扰源所在的第一方向。通过上述方式便可获得 干扰源所处的方向, 为了准确地对干扰源的位置进行确定, 还可以利用另一 个受干扰的基站来确定一个方向, 通过两个方向来确定出干扰源准确的位置。 则, 各功能模块还可以进一步执行下述功能。
所述基站确定模块 201进一步用于确定受干扰的第二基站;
所述时间点确定模块 202进一步用于根据第二基站的 ISCP, 确定第二基 站扇区受干扰的频点, 及该频点上受干扰的第二时间点;
所述干扰信号确定模块 203 进一步用于确定第二基站在所述第二时间点 上的第二干扰信号;
所述方向确定模块 204进一步用于根据所述第二干扰信号通过 DOA估计 计算出干扰源所在的第二方向;
为了实现对干扰源位置的确定, 设备中还可以进一步包括:
位置确定模块 205, 用于根据所述第一方向与第二方向, 以及基站位置确 定干扰源所在的位置。 进一步地, 还可以通过一组受干扰的基站来确定干扰源的位置, 则此时 所述基站确定模块 201 进一步用于确定一组包括第一基站在内的受干扰的基 站, 所述一组受干扰的基站数目大于 2;
所述时间点确定模块 202进一步用于根据该组基站中的每个基站的干扰 信号码功率, 确定每个基站扇区受干扰的频点, 及该频点上受干扰的时间点; 所述干扰信号确定模块 203 进一步用于确定每个基站在所述时间点上的 干扰信号;
所述方向确定模块 204进一步用于根据每个所述干扰信号通过 DOA估计 计算出每个基站确定的干扰源所在的方向;
位置确定模块 205 进一步用于根据所述每个基站确定的干扰源所在的方 向以及基站位置确定干扰源所在的位置。
具体实施中, 时间点确定模块 202可以进一步用于确定基站扇区上被干 扰最强的频点上的时间点为受干扰的频点上的时间点。
方向确定模块 204在根据干扰信号通过 DOA估计计算出干扰源所在方向 时, 具体可以按如下三种方式实现:
1 )、 方向确定模块 204根据干扰信号确定干扰信号的干扰空间协方差矩 阵后 ,根据所述干扰空间协方差矩阵通过 DOA估计计算出干扰信号的到达方 向; 并确定所述到达方向为干扰源所在的方向。
2 )、 方向确定模块 204统计一定时间内多个时间点上干扰信号的干扰空 间协方差矩阵, 所述干扰空间协方差矩阵利用干扰信号计算得到; 求得所述 统计的多个干扰空间协方差矩阵的均值后, 根据所述干扰空间协方差矩阵均 值通过 DOA估计计算出干扰信号的到达方向; 并确定所述到达方向为干扰源 所在的方向。
3 )、 方向确定模块 204统计一定时间内多个时间点上干扰信号的干扰空 间协方差矩阵, 所述干扰空间协方差矩阵利用干扰信号计算得到; 对所述一 定时间内的多个干扰空间协方差矩阵分别进行 DOA估计,计算出多个干扰信 号的到达方向后, 计算这多个千扰信号的到达方向的均值; 并确定所述均值 为干扰源所在的方向。
考虑到选取的时间点上可能会存在业务接入, 为了解决该问题, 设备中 还可以进一步包括:
业务处理模块 206, 用于在确定基站在该时间点上的千扰信号前, 确定该 时间点上是否有业务接入; 在确定该时间点上当前无业务接入时, 确定基站 在所述时间点上的干扰信号; 在确定该时间点上当前有业务接入时, 等待业 务退出, 或者强迫业务退出后, 确定基站在所述时间点上的干扰信号。
或者, 干扰信号确定模块 203进一步用于在确定该时间点上当前有业务 接入时, 对接收信号进行信道估计; 并进行信道估计结果后处理, 确定其中 用户对应的信道估计和干扰信号所对应的信道估计; 并根据所述干扰信号所 对应的信道估计进行干扰空间协方差矩阵的计算。
由上述实施例可知, 本发明实施例中首先利用单基站对干扰源进行定向, 进而利用多基站对干扰源进行定位, 因此, 在采用小间距智能天线的移动通 信系统中给出了快速的干扰方向判断和定位方案, 从而能在干扰出现之后迅 速定位干扰源, 这给网络维护工作带来极大便利, 从而进一步增强了使用小 间距智能天线的通信系统的价值。
本领域内的技术人员应明白, 本发明的实施例可提供为方法、 系统、 或 计算机程序产品。 因此, 本发明可采用完全硬件实施例、 完全软件实施例、 或结合软件和硬件方面的实施例的形式。 而且, 本发明可采用在一个或多个 其中包含有计算机可用程序代码的计算机可用存储介质 (包括但不限于磁盘 存储器、 CD-ROM、 光学存储器等)上实施的计算机程序产品的形式。
本发明是参照根据本发明实施例的方法、 设备(系统)、 和计算机程序产 品的流程图和 /或方框图来描述的。 应理解可由计算机程序指令实现流程图 和 /或方框图中的每一流程和 /或方框、 以及流程图和 /或方框图中的流程 和 /或方框的结合。 可提供这些计算机程序指令到通用计算机、 专用计算机、 嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器, 使得通 过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流 程图一个流程或多个流程和 /或方框图一个方框或多个方框中指定的功能的 装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设 备以特定方式工作的计算机可读存储器中, 使得存储在该计算机可读存储器 中的指令产生包括指令装置的制造品, 该指令装置实现在流程图一个流程或 多个流程和 /或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上, 使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的 处理, 从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图 一个流程或多个流程和 /或方框图一个方框或多个方框中指定的功能的步 骤。
尽管已描述了本发明的优选实施例, 但本领域内的技术人员一旦得知了 基本创造性概念, 则可对这些实施例作出另外的变更和修改。 所以, 所附权 利要求意欲解释为包括优选实施例以及落入本发明范围的所有变更和修改。
显然, 本领域的技术人员可以对本发明进行各种改动和变型而不脱离本 发明的精神和范围。 这样, 倘若本发明的这些修改和变型属于本发明权利要 求及其等同技术的范围之内, 则本发明也意图包含这些改动和变型在内。

Claims

权 利 要 求
1、 一种移动通信干扰源确定方法, 其特征在于, 包括:
确定受干扰的第一基站;
根据第一基站的干扰信号码功率, 确定第一基站扇区受干扰的频点, 及 该频点上受干扰的第一时间点;
确定第一基站在所述第一时间点上的第一干扰信号;
根据所述第一干扰信号通过到达方向 DOA估计计算出干扰源所在的第 一方向。
2、 如权利要求 1所述的方法, 其特征在于, 进一步包括:
确定受干扰的第二基站;
根据第二基站的干扰信号码功率, 确定第二基站扇区受干扰的频点, 及 该频点上受干扰的第二时间点;
确定第二基站在所述第二时间点上的第二干扰信号;
根据所述第二干扰信号通过 DOA估计计算出干扰源所在的第二方向; 根据所述第一方向与第二方向, 以及基站位置确定干扰源所在的位置。
3、 如权利要求 1所述的方法, 其特征在于, 进一步包括:
确定一组包括第一基站在内的受干扰的基站, 所述一组受干扰的基站数 目大于 2;
根据该组基站中的每个基站的干扰信号码功率, 确定每个基站扇区受干 扰的频点, 及该频点上受干扰的时间点;
确定每个基站在所述时间点上的干扰信号;
根据每个所述干扰信号通过 DOA估计计算出每个基站确定的干扰源所 在的方向;
根据所述每个基站确定的干扰源所在的方向以及基站位置确定干扰源所 在的位置。
4、 如权利要求 1、 2或 3所述的方法, 其特征在于, 所述时间点为基站 扇区上被干扰最强的频点上的时间点。
5、如权利要求 2或 3所述的方法, 其特征在于,根据干扰信号通过 DOA 估计计算出干扰源所在的方向, 包括:
根据干扰信号确定干扰信号的干扰空间协方差矩阵;
根据所述干扰空间协方差矩阵通过 DOA估计计算出干扰信号的到达方 向;
确定所述到达方向为干扰源所在的方向。
6、如权利要求 2或 3所述的方法, 其特征在于,根据干扰信号通过 DOA 估计计算出干扰源所在的方向, 包括:
统计一定时间内多个时间点上干扰信号的干扰空间协方差矩阵, 所述干 扰空间协方差矩阵利用干扰信号计算得到;
求得所述多个干扰空间协方差矩阵的均值;
根据所述干扰空间协方差矩阵均值通过 DOA估计计算出千扰信号的到 达方向;
确定所述到达方向为干扰源所在的方向。
7、如权利要求 2或 3所述的方法, 其特征在于,根据干扰信号通过 DOA 估计计算出千扰源所在的方向, 包括:
统计一定时间内多个时间点上干扰信号的干扰空间协方差矩阵, 所述干 扰空间协方差矩阵利用干扰信号计算得到;
对所述一定时间内的多个干扰空间协方差矩阵分别进行 DOA估计,计算 出多个干 4尤信号的到达方向;
计算所述多个干扰信号的到达方向的均值;
确定所述均值为干扰源所在的方向。
8、 如权利要求 1、 2或 3所述的方法, 其特征在于, 所述确定基站在时 间点上的干扰信号前, 进一步包括:
确定该时间点上是否有业务接入;
在确定该时间点上当前无业务接入时, 确定基站在所述时间点上的干扰 信号; 在确定该时间点上当前有业务接入时, 等待业务退出, 或者强迫业务 退出后, 确定基站在所述时间点上的干扰信号。
9、 如权利要求 1、 2或 3所述的方法, 其特征在于, 在所述确定基站在 时间点上的干扰信号时, 进一步包括:
在确定该时间点上当前有业务接入时, 对接收信号进行信道估计; 进行信道估计结果后处理, 确定其中的用户对应的信道估计和干扰信号 所对应的信道估计;
根据所述干扰信号所对应的信道估计进行干扰空间协方差矩阵的计算。
10、 一种移动通信干扰源确定设备, 其特征在于, 包括:
基站确定模块, 用于确定受干扰的第一基站;
时间点确定模块, 用于根据第一基站的干扰信号码功率, 确定第一基站 扇区受干扰的频点, 及该频点上受干扰的第一时间点;
干扰信号确定模块, 用于确定第一基站在所述第一时间点上的第一干扰 信号;
方向确定模块,用于根据所述第一干扰信号通过 DOA估计计算出干扰源 所在的第一方向。
11、 如权利要求 10所述的设备, 其特征在于,
所述基站确定模块进一步用于确定受干扰的第二基站;
所述时间点确定模块进一步用于根据第二基站的干扰信号码功率, 确定 第二基站扇区受干扰的频点, 及该频点上受干扰的第二时间点;
所述干扰信号确定模块进一步用于确定第二基站在所述第二时间点上的 第二干扰信号;
所述方向确定模块进一步用于根据所述第二干扰信号通过 DOA估计计 算出干扰源所在的第二方向;
进一步包括:
位置确定模块, 用于根据所述第一方向与第二方向, 以及基站位置确定 千扰源所在的位置。
12、 如权利要求 10所述的设备, 其特征在于,
所述基站确定模块进一步用于确定一组包括第一基站在内的受干扰的基 站, 所述一组受干扰的基站数目大于 2;
所述时间点确定模块进一步用于根据该组基站中的每个基站的干扰信号 码功率, 确定每个基站扇区受干扰的频点, 及该频点上受干扰的时间点; 所述干扰信号确定模块进一步用于确定每个基站在所述时间点上的干扰 信号;
所述方向确定模块进一步用于根据每个所述干扰信号通过 DOA估计计 算出每个基站确定的干扰源所在的方向;
位置确定模块进一步用于根据所述每个基站确定的干扰源所在的方向以 及基站位置确定干扰源所在的位置。
13、 如权利要求 10、 11或 12所述的设备, 其特征在于, 所述时间点确 定模块进一步用于确定基站扇区上被干扰最强的频点上的时间点为受干扰的 频点上的时间点。
14、 如权利要求 11或 12所述的设备, 其特征在于, 所述方向确定模块 进一步用于根据干扰信号确定干扰信号的干扰空间协方差矩阵后, 根据所述 干扰空间协方差矩阵通过 DOA估计计算出干扰信号的到达方向; 并确定所述 到达方向为干扰源所在的方向。
15、 如权利要求 11或 12所述的设备, 其特征在于, 所述方向确定模块 进一步用于统计一定时间内多个时间点上干扰信号的干扰空间协方差矩阵, 所述干扰空间协方差矩阵利用干扰信号计算得到; 求得所述统计的多个干扰 空间协方差矩阵的均值后,根据所述干扰空间协方差矩阵均值通过 DOA估计 计算出干扰信号的到达方向; 并确定所述到达方向为干扰源所在的方向。
16、 如权利要求 11或 12所述的设备, 其特征在于, 所述方向确定模块 进一步用于统计一定时间内多个时间点上干扰信号的干扰空间协方差矩阵, 所述干扰空间协方差矩阵利用干扰信号计算得到; 对所述一定时间内的多个 干扰空间协方差矩阵分别进行 DOA估计, 计算出多个千扰信号的到达方向 后, 计算所述多个干扰信号的到达方向的均值; 并确定所述均值为干扰源所 在的方向。
17、 如权利要求 10、 11或 12所述的设备, 其特征在于, 进一步包括: 业务处理模块, 用于在确定基站在所述时间点上的干扰信号前, 确定该 时间点上是否有业务接入; 在确定该时间点上当前无业务接入时, 确定基站 在所述时间点上的干扰信号; 在确定该时间点上当前有业务接入时, 等待业 务退出, 或者强迫业务退出后, 确定基站在所述时间点上的干扰信号。
18、 如权利要求 10、 11或 12所述的设备, 其特征在于, 所述干扰信号 确定模块进一步用于在确定该时间点上当前有业务接入时, 对接收信号进行 信道估计; 并进行信道估计结果后处理, 确定其中用户对应的信道估计和干 扰信号所对应的信道估计; 并根据所述干扰信号所对应的信道估计进行千扰 空间协方差矩阵的计算。
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Publication number Priority date Publication date Assignee Title
CN103139816B (zh) * 2011-12-01 2015-06-17 鼎桥通信技术有限公司 一种干扰源定位方法和装置
CN102710344B (zh) * 2012-04-26 2014-06-11 西安电子科技大学 集群车载通信系统用频数据评估
CN105491601B (zh) * 2014-09-16 2020-03-31 中兴通讯股份有限公司 一种定位基站干扰的方法及系统
CN105530703B (zh) * 2016-01-28 2018-10-26 中国铁建电气化局集团北方工程有限公司 一种基于波达方向估计值的gsm-r干扰源定位方法
CN112601249B (zh) * 2020-12-08 2023-02-28 重庆紫光华山智安科技有限公司 干扰源识别方法、装置、网络设备及存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020065107A1 (en) * 2000-10-16 2002-05-30 Wireless Online, Inc. Method and system for calibrating antenna towers to reduce cell interference
EP1345337A2 (en) * 2002-03-12 2003-09-17 Matsushita Electric Industrial Co., Ltd. Adaptive antenna base station apparatus with direction of arrival estimation
CN1929670A (zh) * 2005-09-05 2007-03-14 北京信威通信技术股份有限公司 一种tdd方式下利用辅助基站进行频率规划的方法
CN100361556C (zh) * 2004-12-23 2008-01-09 华为技术有限公司 一种定位上行干扰源的方法

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5914946A (en) * 1996-11-08 1999-06-22 Lucent Technologies Inc. TDM-based fixed wireless loop system
CN100338968C (zh) * 2004-06-17 2007-09-19 中兴通讯股份有限公司 一种时分同步码分多址通讯系统快速动态信道分配方法
KR100749451B1 (ko) * 2005-12-02 2007-08-14 한국전자통신연구원 Ofdm 기지국 시스템에서의 스마트 안테나 빔 형성 방법및 장치

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020065107A1 (en) * 2000-10-16 2002-05-30 Wireless Online, Inc. Method and system for calibrating antenna towers to reduce cell interference
EP1345337A2 (en) * 2002-03-12 2003-09-17 Matsushita Electric Industrial Co., Ltd. Adaptive antenna base station apparatus with direction of arrival estimation
CN100361556C (zh) * 2004-12-23 2008-01-09 华为技术有限公司 一种定位上行干扰源的方法
CN1929670A (zh) * 2005-09-05 2007-03-14 北京信威通信技术股份有限公司 一种tdd方式下利用辅助基站进行频率规划的方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP2363967A4 *

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