KR20120030670A - Method for estimating azimuth, apparatus and computer-readable recording medium with program therefor - Google Patents

Abstract

PURPOSE: An azimuth estimation method, apparatus thereof, and computer readable recording medium are provided to remove pseudorandom noise in a repeater by estimating optimized azimuth within an analysis target range. CONSTITUTION: A cell-by-cell azimuth output unit(270) creates lattice cell-by-cell azimuth which calculates an angle between a center coordinate value and base station location information. An optimized azimuth estimation unit(280) confirms the cell-by-cell azimuth. The optimized azimuth estimation unit selects a middle value lattice cell including a highest angle and a lowest angle. The optimized azimuth estimation unit estimates the optimized azimuth for the middle value lattice cell.

Description

Method for Estimating Azimuth, Apparatus And Computer-Readable Recording Medium with Program Therefor}

An embodiment of the present invention relates to a method for estimating azimuth, an apparatus therefor, and a computer-readable recording medium. More specifically, the pCell data is received from the pCell database, the center angle of each sector is set as an analysis target radius based on the information included in the pCell data, the optimum azimuth angle of each sector within the corresponding analysis target radius is estimated, and the corresponding The present invention relates to a method for estimating azimuth to remove the repeater PN within a radius of an analysis object so that interference is excluded, an apparatus therefor, and a computer-readable recording medium.

The contents described in this section merely provide background information on the embodiments of the present invention and do not constitute a prior art.

Typically, in a mobile communication system, the position and azimuth angle of an antenna mounted on a base station when designing a cell becomes an important variable for determining coverage of a corresponding cell. That is, the antenna installed in the base station of the mobile communication system has a high directivity and greatly affects the coverage area according to the angle of the antenna, and thus optimization of base station coverage by adjusting the angle of the antenna is required. In order to optimize the base station coverage, the azimuth information of the antenna is essential, and by using the angle information to determine the orientation point of the antenna, it is possible to determine how the current base station coverage is formed, and the base station coverage through simulation of changing the angle of the antenna. The antenna angle is changed to optimize the performance.

However, in order to optimize base station coverage, it is necessary to measure the angle of the base station antenna more accurately without errors.However, it is difficult to accurately measure data using the proposed antenna azimuth measurement method, or the operator performs the measurement itself. Very difficult to do, there was a problem that the work efficiency is low.

In order to solve the above-described problem, an embodiment of the present invention sets the center angle of each sector as an analysis target radius by interworking with pCell data from a pCell database, estimates an optimal azimuth angle of each sector within the corresponding analysis target radius, and then The main object of the present invention is to provide a method for estimating azimuth to remove the repeater PN within the radius of the analysis to exclude interference, an apparatus therefor, and a computer-readable recording medium.

In order to achieve the above object, an embodiment of the present invention, an information receiving unit for receiving pCell data from the pCell database; Based on the distribution of Ref PNs (Reference PNs) included in the pCell data in the propagation environment map to which the pCell data is applied, a center angle for each sector of the base station having the Ref PN is calculated, and the center angle for each sector is a sector azimuth angle. A sector angle calculation unit for each sector to be recognized as; An analysis target radius setting unit configured to set an analysis target radius in a preset range based on the sector azimuth; A sector-by-sector ratio calculator configured to extract a Ref PN included in the set radius of analysis and calculate a ratio of sectors having the same Ref PN among the extracted Ref PNs; An azimuth adjustment unit configured to generate an angle adjustment azimuth angle by adjusting the sector azimuth angle to an angle according to the sector ratio; A grid cell group selector which selects a grid cell group corresponding to a sector having the angle-adjusted azimuth; A cell azimuth calculation unit configured to generate an azimuth for each grid cell in which an angle between a center coordinate value of each grid cell and base station position information is calculated for each grid cell included in the grid cell group based on a true north direction; And checking the azimuth angle of each cell to select a middle lattice cell having a middle value between the lattice cell having the highest angle and the lattice cell having the lowest angle among the azimuth angles of the cells, and setting the azimuth angle with respect to the intermediate lattice cell as an optimal azimuth angle. It provides an azimuth estimation device comprising an optimum azimuth estimator for estimating.

In addition, according to another object of the present invention, the information receiving unit for receiving pCell data from the pCell database; Based on the distribution of Ref PNs (Reference PNs) included in the pCell data in the propagation environment map to which the pCell data is applied, a center angle for each sector of the base station having the Ref PN is calculated, and the center angle for each sector is a sector azimuth angle. A sector angle calculation unit for each sector to be recognized as; An analysis target radius setting unit configured to set an analysis target radius in a preset range based on the sector azimuth; A sector-by-sector ratio calculator configured to extract a Ref PN included in the set radius of analysis and calculate a ratio of sectors having the same Ref PN among the extracted Ref PNs; An azimuth adjustment unit configured to generate an angle adjustment azimuth angle by adjusting the sector azimuth angle to an angle according to the sector ratio; A grid cell group selector which selects a grid cell group corresponding to a sector having the angle-adjusted azimuth; A cell azimuth calculation unit configured to generate an azimuth for each grid cell in which an angle between a center coordinate value of each grid cell and base station position information is calculated for each grid cell included in the grid cell group based on a true north direction; Checking the azimuth angle of each cell, selecting a middle lattice cell having a median value between the lattice cell having the highest angle and the lowest angle among the azimuth angles of the cells, and estimating the azimuth angle with respect to the intermediate lattice cell as the optimal azimuth angle. An optimal azimuth estimator; And a PN cleansing unit configured to generate a PN removal propagation environment map removed after selecting a repeater having the Ref PN as a mother station from the propagation environment map to which the optimum azimuth angle is applied. .

In addition, according to another object of the present invention, the information receiving step of receiving pCell data from the pCell database; Based on the distribution of Ref PNs (Reference PNs) included in the pCell data in the propagation environment map to which the pCell data is applied, a center angle for each sector of the base station having the Ref PN is calculated, and the center angle for each sector is a sector azimuth angle. Calculating a center angle for each sector to be recognized as; An analysis target radius setting step of setting an analysis target radius in a preset range based on the sector azimuth; A sector-by-sector ratio calculating step of extracting a Ref PN included in the set radius of analysis and calculating a ratio of sectors having the same Ref PN among the extracted Ref PNs; An azimuth adjustment step of generating an angle adjustment azimuth angle by adjusting the sector azimuth angle to an angle according to the ratio of each sector; Selecting a grid cell group corresponding to a sector having the angle-adjusted azimuth; A cell azimuth calculation step of generating an azimuth for each grid cell in which an angle between a center coordinate value and base station position information for each grid cell is calculated based on a north-north direction for each grid cell included in the grid cell group; And checking the azimuth angle of each cell to select a middle lattice cell having a middle value between the lattice cell having the highest angle and the lattice cell having the lowest angle among the azimuth angles of the cells, and setting the azimuth angle with respect to the intermediate lattice cell as an optimal azimuth angle. An azimuth estimation method comprising the step of estimating an optimal azimuth angle is provided.

Another object of the present invention is to provide a computer-readable recording medium having recorded thereon a program for executing each step of the azimuth estimation method described above.

As described above, according to an embodiment of the present invention, the center angle of each sector is set as an analysis target radius by interworking with the pCell data from the pCell database, and the optimum azimuth angle of each sector within the corresponding analysis target radius is estimated and then analyzed. There is an effect that the interference is excluded by removing the repeater PN within the target radius.

In addition, according to an embodiment of the present invention, the operator can calculate the azimuth angles for tens of thousands of antennas at a time by using the already collected operating pCell DB without the operator having to directly measure the antenna azimuth angles in the field. have. In addition, according to an embodiment of the present invention, when a change occurs in the RF environment of the field, the field optimization operators have the effect of converting the collected DB into a pCell DB and then calculating it as an azimuth again. This can be used to improve shadow area or to be used for RF optimization.

1 is a block diagram schematically illustrating an azimuth estimation system according to an embodiment of the present invention;
2 is a block diagram schematically illustrating an azimuth estimating apparatus according to an embodiment of the present invention;
3 is a flowchart illustrating a method for estimating azimuth according to an embodiment of the present invention;
4 is an exemplary diagram of a database according to an embodiment of the present invention;
5 is an exemplary diagram for describing sector-specific pCell data according to an embodiment of the present invention;
6 is an exemplary view for explaining an overview of azimuth estimation according to an embodiment of the present invention;
7 is an exemplary diagram of a propagation map in which a base station and a repeater are mixed according to an embodiment of the present invention;
8 is an exemplary diagram to eliminate the PN confusion caused by the repeater according to an embodiment of the present invention,
9 is an exemplary view illustrating azimuth adjustment and PN matching according to an embodiment of the present invention.
Description of the Related Art
110: terminal 120: location calculation server
130: pCell positioning server 140: database
150: azimuth estimation device 210: information receiving unit
220: center angle calculation unit for each sector 230: analysis target radius setting unit
240: ratio calculation unit for each sector 250: azimuth adjustment unit
260: grid cell group selection unit 270: azimuth calculation unit for each cell
280: Optimal azimuth estimation unit 290: PN removal unit
292: reporting unit

Hereinafter, some embodiments of the present invention will be described in detail through exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same reference numerals are assigned to the same components as much as possible even though they are shown in different drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In addition, in describing the component of this invention, terms, such as 1st, 2nd, A, B, (a), (b), can be used. These terms are only for distinguishing the components from other components, and the nature, order or order of the components are not limited by the terms. If a component is described as being "connected", "coupled" or "connected" to another component, that component may be directly connected to or connected to that other component, but there may be another configuration between each component. It is to be understood that the elements may be "connected", "coupled" or "connected".

In the present invention, an appeal unit of a service area in charge of one base station providing a mobile communication service is defined as a cell. That is, a cell is a concept of a service area where a corresponding base station is included in coverage. In addition, the cells are divided into sectors (sectors), which is a concept in which service areas are divided based on radio waves transmitted by a directional antenna installed in a corresponding base station.

1 is a block diagram schematically illustrating an azimuth estimation system according to an embodiment of the present invention.

The azimuth estimation system according to an embodiment of the present invention includes a terminal 110, a location calculation server 120, a pCell positioning server 130, a database 140, and an azimuth estimation device 150. Meanwhile, in an embodiment of the present invention, the azimuth estimation system includes only the terminal 110, the position calculation server 120, the pCell positioning server 130, the database 140, and the azimuth estimation device 150. This is merely illustrative of the technical idea of one embodiment of the present invention, and those of ordinary skill in the art to which an embodiment of the present invention belongs should have an azimuth angle within a range not departing from the essential characteristics of the embodiment of the present invention. Various modifications and variations to the components included in the estimation system may be applicable.

The terminal 110 is a terminal having a wireless communication module for performing a conventional voice call and data communication. The terminal 110 interworks with a mobile communication network (not shown) by using the provided wireless communication module and performs a conventional voice call and wireless communication. Perform data communication. On the other hand, the terminal 110 transmits the base station information of the mobile communication network to the location calculation server 120. In addition, the terminal 110 is a terminal having a GPS module. The terminal 110 extracts navigation data from GPS radio wave signals received from one or more global positioning system (GPS) satellites and calculates the location data through the mobile communication network. To send. Preferably, the terminal 110 includes a GPS module, but is not necessarily limited thereto.

The terminal 110 may be any one of a smart phone, a personal computer (PC), a notebook computer, a personal digital assistant (PDA), and the like, and an application for using a location-based service. Means a terminal having a memory for storing the, a microprocessor for operating and controlling the program.

The positioning protocol is a protocol that standardizes the specification of the application layer for positioning. If the positioning protocol is capable of transmitting and receiving GPS signals between the terminal 110 and the location calculation server 120, any positioning protocol may be used. The positioning protocol may be an Interim Standard-801 (IS-801), a Radio Resource Location Services Protocol (RRLP), a Radio Resource Control (RRC), a Secure User Plane Location (SUPL), or the like. Meanwhile, SUPL (Secure User Plane Location) 2.0 is used as the positioning protocol, but the GPS signal may be transmitted and received between the terminal 110 and the location calculation server 120, but is not necessarily limited thereto. Here, SUPL means that each network, which is required when performing an existing location positioning procedure, by directly transmitting and receiving data related to location positioning in a data transmission path between the location calculation server 120 and the terminal 110 in providing location location. As a method of avoiding communication between nodes, it is a protocol to reduce the cost of implementing nodes required for location tracking and to provide a more accurate location positioning service. Meanwhile, when SUPL 2.0 is used, the terminal 110 may measure a round trip delay (RTD) using SUPL 2.0.

The location calculation server 120 receives satellite data through a built-in satellite receiver, and performs positioning using satellite data of the terminal 110 requesting positioning. That is, the location calculation server 120 receives the navigation data from the terminal 110 to calculate the latitude and longitude coordinates of the terminal 110. In addition, the location calculation server 120 transmits aiding data to assist in determining the location of the terminal 110, and calculates a distance between the GPS satellite and the terminal 110. In addition, the location calculation server 120 selectively transmits the location information to the Location Based Service Platform (LBSP) when receiving location information from the terminal 110 selectively. The location calculation server 120 may transmit the latitude-longitude data, which is the positioning result data, and the PPM (Pilot Phase Measurement) data received from the terminal 110 to the server for pCell positioning. The location calculation server 120 receives a location request signal from the LBSP, and transmits a short message request (SMREQ) signal requesting information about a terminal corresponding to the location location target to the HLR. The location calculation server 120 receives a smreq (short message request) signal containing a response to an information request for a terminal corresponding to a location location target from the corresponding HLR. The location calculation server 120 may transmit a location response signal (Location Result) including a location location result for the location of the terminal 110 in cooperation with the terminal 110 to the LBSP.

On the other hand, the position calculation server 120 is a Position Determination Entity (PDE) in a synchronous Code Division Multiple Access (CDMA) system, and a PS (Position Server) in an asynchronous wideband code division multiple access (W-CDMA) system. In the GSM system, which is a European time division mobile communication system, a Serving Mobile Location Center (SMLC) may be applied, but is not limited thereto. The PDE may perform network-based positioning using CDMA and triangulation in CDMA. In addition, the PS may perform satellite positioning and basic cellular positioning in W-CDMA, and the SMLC may perform satellite positioning and cellular positioning in GSM.

On the other hand, the above-mentioned PPM data includes the system information measured by the terminal 110 and the time and distance information of the adjacent base station. Here, the basic data collected by the terminal 110 are information of a system currently being serviced, a pilot signal of a neighboring base station, signal strength, and the like. Information of the system currently being serviced includes system ID (SID: System ID, hereinafter referred to as "SID"), network ID (NID: Network ID, hereinafter referred to as "NID"), base station ID (BSID: Base Station ID, hereinafter " BSID "), the base station sector number currently being served (Ref_PN: Reference PN, hereinafter referred to as" Ref_PN "), the pilot phase in Ref_PN, signal strength, and the like. In addition, the pilot signal of the neighbor base station includes distance data such as neighbor base station sector number (Measurement PN) collected from the mobile terminal 110, a pilot phase in each neighbor base station sector number, signal strength, and the like. The aforementioned PPM data is positioning related data in a CDMA system, which may be SFN (SFN) -SFN Observed Time Difference or UE RX-TX Time Difference data in W-CDMA, but is not limited thereto. Location-related data used in the.

Meanwhile, although the location calculation server 120 is described as being applied to CDMA and WCDMA to provide pCell positioning, this is merely illustrative of the technical idea of the present invention, and is commonly used in the art. Those skilled in the art, the location calculation server 120 is applied to WiBro, Long Term Evolution (LTE) and Evolved Packet Core (EPC) to provide pCell positioning without departing from the essential characteristics of the present invention. can do.

The pCell positioning server 130 is a server for positioning the position of the terminal 110 corresponding to the positioning target using the database 140. The pCell positioning server 130 selects the pCell having the best pattern matching with the received PPM data from the terminal 110 when the positioning request is generated from the terminal 110 to the location calculation server 120. This is then provided to the service requester as the final positioning result. Here, in order to provide accurate positioning results to the service requester, the database 140 may use the latest data (eg, to better reflect changes in the positioning environment such as a wireless environment and a positioning system state at the time of the positioning request). PN, pilot phase, signal strength, etc.).

Meanwhile, although the pCell positioning server 130 is also described as being applied to CDMA and WCDMA to provide pCell positioning, this is merely illustrative of the technical idea of the present invention, and is commonly known in the art. Those who have the pCell positioning server 130 is applied to WiBro, Long Term Evolution (LTE) and Evolved Packet Core (EPC) to provide pCell positioning without departing from the essential characteristics of the present invention. have.

Although the database 140 is described as being implemented as a separate device from the pCell positioning server 130 or the azimuth estimating apparatus 150, the database 140 is not necessarily limited thereto and may be included in the pCell positioning server 130 or the azimuth estimating apparatus 150. It may be implemented to be included.

The database 140 is a pCell database, and stores grid cells divided by pCell IDs as basic data using positioning result data which are positioning results each time. That is, the database 140 is constructed as a DB storing the location measurement service area by dividing the location service target area into a grid unit of a predetermined size and defining each grid as a pCell and storing the location result for each defined pCell.

Here, the grid cell is a cell that divides a specific region into a predetermined size, and includes a base station sector number and a pCell ID based on a PSC for a base station located in a specific region. That is, the grid cell may be set to the size of NxM. For example, the grid cells may be set to square shapes such as 100x100, 50x50, 30x30, 25x25, 20x20, 10x10, 5x5, and 1x1, but are not necessarily limited thereto. Can be set. In addition, the database 140 illustrated in FIG. 1 is basically information of a system currently being serviced, a pilot signal of a neighboring base station, a signal strength, and the like. Information of the system currently being serviced includes system ID (SID: System ID, hereinafter referred to as "SID"), network ID (NID: Network ID, hereinafter referred to as "NID"), base station ID (BSID: Base Station ID, hereinafter " BSID "), the base station sector number currently being served (Ref_PN: Reference PN, hereinafter referred to as" Ref_PN "), the pilot phase in Ref_PN, signal strength, and the like.

To describe the pCell positioning method data stored in the database 140 in detail, the database 140 uses the positioning result data, which is the positioning result each time, as the basic data, together with the grid cells divided by pCell IDs. It also stores reference data that can be represented. Here, the reference data is data to be compared in consideration of pattern consistency in pCell positioning, and data that has a great influence on positioning accuracy and is updated when the database is updated. In general, for updating a database, the newly measured positioning result data is updated by arithmetic averaging with a lot of basic data already stored to update the reference data. Due to such a data update method, the degree to which the newly measured positioning result data is reflected in the updated reference data may be insignificant. In particular, when the number of basic data already stored in the database is very large, the newly measured positioning result data hardly affects the update of the reference data even if the database is updated.

In order for this positioning method to provide more accurate positioning results, the database must be updated so that the database is always kept up-to-date with data (eg, PN, pilot phase, signal strength, etc.). However, due to the characteristics of the above-described database update method in the general location method, the general database update method may not sufficiently reflect the change of the location environment such as a wireless environment, a location system state, and the like. For example, in a situation where a positioning system or a wireless environment in which a positioning service is provided is constantly changing frequently, currently measured positioning result data may provide more accurate positioning results than reference data previously stored in a database. In this case, when updating the reference data previously stored in the database, it is necessary to reflect the current measurement result data to a higher level so that the reference data stored in the database can adapt to the changing situation of the current positioning environment. will be. In addition, the database 140 according to an embodiment of the present invention stores the location according to the base station identification information. Here, the base station identification information is preferably a base station sector number, but is not necessarily limited thereto.

The database 140 refers to a general data structure implemented in a storage space (hard disk or memory) of a computer system by using a database management program (DBMS), and retrieves (extracts), deletes, edits, and adds data. It is a data storage type that can be freely used, such as relational database management systems (RDBMS) such as Oracle, Infomix, Sybase, DB2, Gemston, Orion ( An object of an embodiment of the present invention using an object-oriented database management system (OODBMS) such as Orion, O2, and an XML Native Database such as Excelon, Tamino, Sekaiju, etc. It can be implemented to fit into and has appropriate fields or elements to achieve its function.

The azimuth estimation device 150 according to an embodiment of the present invention receives the pCell data from the database 140. Here, the pCell data includes pCell ID information, sector-specific radius information, Tx power information, sector-specific azimuth segmentation information, SID (System ID), and NID (Network ID). Data including at least one or more of BSID (Base Station ID), Ref PN, Pilot Phase in Ref PN, and signal strength.

The azimuth estimation device 150 receives pCell data from the database 140. The azimuth estimator 150 calculates the center angle for each sector of the base station having the Ref PN based on the distribution of the Ref PN (Reference PN) included in the pCell data in the propagation environment map to which the pCell data is applied, and the center angle for each sector. Recognize it as sector azimuth. The azimuth estimating apparatus 150 calculates a center angle for each sector for a base station having a Ref PN based on the distribution of Ref PN in the PN removal propagation environment map and recognizes it as a sector azimuth.

The azimuth estimating apparatus 150 sets the analysis target radius in a preset range based on the sector azimuth. Meanwhile, the azimuth estimating apparatus 150 sets the analysis target radius in a preset range based on the sector azimuth in the PN removal propagation environment map. Here, the preset range is a distance set so that interference is excluded around the base station. For example, the preset range may be set to 100 m, but is not necessarily limited thereto.

The azimuth estimator 150 extracts the Ref PN included in the set radius of analysis object, and calculates a ratio for each sector having the same Ref PN among the extracted Ref PNs. In addition, the azimuth estimating apparatus 150 calculates the ratio for each sector based on the number of sectors having the same Ref PN and the total number of sectors. On the other hand, the azimuth estimator 150 calculates the ratio for each sector having the same Ref PN in the PN removal propagation environment map.

The azimuth estimating apparatus 150 generates an angle-adjusted azimuth by adjusting the sector azimuth to an angle according to a sector-by-sector ratio. Meanwhile, the azimuth estimating apparatus 150 generates an angle adjusting azimuth in which the sector azimuth is adjusted to an angle according to a sector ratio in the PN removal propagation environment map. The azimuth estimating apparatus 150 selects a grid cell group corresponding to a sector having an angle-adjusted azimuth. The azimuth estimating apparatus 150 generates azimuths for each grid cell in which each grid cell included in the grid cell group calculates an angle between a center coordinate value and base station position information for each grid cell based on the north-north direction. Meanwhile, the azimuth estimator 150 calculates an angle between a center coordinate value of each grid cell and base station location information based on the north-north direction for each grid cell included in the grid cell group in the PN removal propagation environment map. Generate azimuths per grid cell.

The azimuth estimator 150 checks the azimuths of the cells, selects the middle lattice cells having the median value between the lattice cells having the highest angle and the lowest angle among the azimuths of the cells, and optimizes the azimuth angles for the intermediate lattice cells. Estimate with the azimuth of. On the other hand, the azimuth estimator 150 checks the azimuth angle of each cell in the PN removal propagation environment map, and selects a middle value lattice cell having a median value between the lattice cell having the highest angle and the lattice cell having the lowest angle among the azimuth angles. The azimuth angle for the value grid cell is estimated as the optimal azimuth angle.

The azimuth estimating apparatus 150 generates a PN removal propagation environment map after removing a repeater having Ref PN as a mother station from the propagation environment map to which the optimum azimuth angle is applied. The azimuth estimator 150 selects and removes grid cells estimated by the repeater based on the radiation pattern of the base station. The azimuth estimation device 150 selects and removes grid cells estimated by the repeater based on the position information of the repeater. The azimuth estimator 150 selects a repeater having Ref PN as a mother station from the PN removal propagation environment map and generates the removed PN additional removal propagation environment map. The azimuth estimating apparatus 150 reports the optimal azimuth to an external server.

In the present invention, the azimuth estimation device 150 and the pCell positioning server 130 is described as a separate device, but this is merely illustrative of the technical idea of the present invention, which is common in the art. Those skilled in the art will be able to modify and apply the present invention as one device without departing from the essential features of the present invention. Meanwhile, in the present invention, the azimuth estimating apparatus 150 only describes estimating an optimal azimuth angle, but in the future, the shadow area may be solved or the wireless environment may be optimized using the optimal azimuth angle estimated through the present invention.

Hereinafter, the propagation map to which the estimated azimuth angle through the azimuth estimating apparatus 150 is applied will be described in detail. The azimuth estimating apparatus 150 sets the analysis target radius in a preset range based on the sector azimuth, and the azimuth estimating apparatus 150 extracts the Ref PN included in the set analysis target radius, and the same Ref among the extracted Ref PNs. A sector-specific ratio having a PN is calculated to generate an angle-adjusted azimuth angle adjusted to an angle according to the sector-specific ratio.

To be more specific, it is assumed that a specific base station has Ref_PN having 146, 314, and 482, 146 is α sector, 314 is β sector, and 482 is γ sector, and 146 is the same Ref PN. And calculate the sector-specific ratios 314 and 482 to generate the angle-adjusted azimuth angle adjusted to the angle according to the sector-by-sector ratio. Here, the ratio of each sector is assumed that if there are 1000 sectors having the same Ref PN within the radius of analysis, 500 α sectors, 300 β sectors, and 200 γ sectors. 150 may calculate a ratio for each sector based on the total number of sectors having the same Ref PN and the number of each sector.

Meanwhile, the azimuth estimator 150 selects a grid cell group corresponding to a sector having an angle-adjusted azimuth angle, and a grid cell having a Ref PN 146 may be selected as one grid cell group, and a Ref PN 314 is selected. The lattice cell having a can be selected into one lattice cell group, and the lattice cell having 482 which is Ref PN can be selected into one lattice cell group.

The azimuth estimating apparatus 150 generates azimuths for each grid cell in which each grid cell included in the grid cell group calculates an angle between a center coordinate value and base station position information for each grid cell based on the north-north direction. That is, for each lattice cell having Ref PN 146, a cell azimuth is calculated by calculating the angle between the center coordinate value and the base station position information for each lattice cell on the basis of the true north direction. By checking all the azimuths generated in this way, the middle lattice cells having the middle value between the lattice cells having the highest angle and the lowest angle among the azimuths of the cells are selected, and the azimuth angles for the middle lattice cells are selected as the optimum azimuth angles. Estimate.

For example, if the highest angle among the azimuths per cell is 50 ° and the lowest angle is 10 °, the median lattice cell having the median value of the grid cell having 50 ° and the grid cell having 10 ° is selected, and the median value is selected. The azimuth of each cell of the grid cell is estimated as the optimal azimuth. Meanwhile, the azimuth estimator 150 selects a repeater having Ref PN as a mother station from the propagation environment map to which the optimum azimuth angle is applied, and generates a PN removal propagation environment map that is removed, and is determined as a repeater having Ref PN as a mother station. The grid cell may be represented by 'x'.

Meanwhile, the center angle for each sector may be calculated through the azimuth estimation device 150, and the reliability indicating the number of effective grid cells after PN removal may be calculated.

2 is a block diagram schematically illustrating an azimuth estimating apparatus according to an embodiment of the present invention.

Azimuth estimating apparatus 150 according to an embodiment of the present invention is the information receiving unit 210, the center angle calculation unit 220 for each sector, the radius of the analysis target setting unit 230, the ratio calculation unit 240 for each sector, the azimuth angle adjustment unit 250, a lattice cell group selector 260, a cell azimuth calculator 270, an optimal azimuth estimator 280, a PN cleaner 290, and a reporter 292. Meanwhile, in an embodiment of the present invention, the azimuth estimating apparatus 150 includes the information receiver 210, the center angle calculator 220 for each sector, the radius setting unit 230 for analysis, the ratio calculator 240 for each sector, and the azimuth angle. Although described as including only the adjuster 250, the grid cell group selector 260, the cell-specific azimuth calculator 270, the optimum azimuth estimator 280, the PN removal unit 290 and the reporting unit 292, This is merely illustrative of the technical idea of an embodiment of the present invention, and those skilled in the art to which an embodiment of the present invention belongs will estimate the azimuth angle without departing from the essential characteristics of the embodiment of the present invention. Various modifications and variations to the components included in the device 150 may be applicable.

The information receiver 210 receives pCell data from the database 140. Here, the pCell data includes pCell ID information, sector-specific radius information, Tx power information, sector-specific azimuth segmentation information, SID (System ID), and NID (Network ID). Data including at least one or more of BSID (Base Station ID), Ref PN, Pilot Phase in Ref PN, and signal strength.

The sector-specific center angle calculation unit 220 calculates the center angle for each sector for the base station having the Ref PN based on the distribution of the Ref PN (Reference PN) included in the pCell data in the propagation environment map to which the pCell data is applied, and the sector The center angle of the star is recognized as the sector azimuth. The sector-specific center angle calculation unit 220 calculates the sector-specific center angle for the base station having the Ref PN based on the distribution of the Ref PN in the PN removal propagation environment map and recognizes it as the sector azimuth. The analysis target radius setting unit 230 sets the analysis target radius to a preset range based on the sector azimuth. Meanwhile, the analysis target radius setting unit 230 sets the analysis target radius in a preset range based on the sector azimuth in the PN removal propagation environment map. Here, the preset range is a distance set so that interference is excluded around the base station. For example, the preset range may be set to 100 m, but is not necessarily limited thereto.

The sector ratio calculator 240 extracts a Ref PN included in the set radius of analysis and calculates a sector ratio having the same Ref PN among the extracted Ref PNs. In addition, the sector-specific ratio calculator 240 calculates the sector-specific ratio based on the number of sectors having the same Ref PN and the total number of sectors. On the other hand, the sector-specific ratio calculator 240 calculates the sector-specific ratio having the same Ref PN in the PN removal propagation environment map. The azimuth adjustment unit 250 generates an angle adjustment azimuth angle in which the sector azimuth is adjusted to an angle according to a sector ratio. Meanwhile, the azimuth adjustment unit 250 generates an angle adjustment azimuth in which the sector azimuth is adjusted to an angle according to a sector ratio in the PN removal propagation environment map. The grid cell group selector 260 selects a grid cell group corresponding to a sector having an angle adjusting azimuth.

The cell azimuth calculation unit 270 generates an azimuth for each grid cell that calculates an angle between the center coordinate value and the base station position information for each grid cell based on the north-north direction for each grid cell included in the grid cell group. Meanwhile, the cell azimuth calculation unit 270 calculates the angle between the center coordinate value and the base station location information for each grid cell based on the north-north direction for each grid cell included in the grid cell group in the PN removal propagation environment map. Azimuths are generated per grid cell.

The optimal azimuth estimator 280 checks the azimuths of the cells, selects the middle lattice cells having the median value between the lattice cells having the highest angle and the lowest angle among the azimuths of the cells, and calculates an azimuth angle with respect to the intermediate lattice cells. Estimate the optimal azimuth. On the other hand, the optimum azimuth estimator 280 checks the azimuth angle of each cell in the PN removal propagation environment map, and selects a middle value lattice cell having a median value between the lattice cell having the highest angle and the lattice cell having the lowest angle among the azimuth angles, The azimuth angle for the median lattice cell is estimated as the optimal azimuth angle.

The PN removal unit 290 selects a repeater having a Ref PN as a home station from the propagation environment map to which the optimum azimuth angle is applied and generates a PN removal propagation environment map that is removed. The PN removal unit 290 selects and removes grid cells estimated as a repeater based on the radiation pattern of the base station. The PN removal unit 290 selects and removes grid cells estimated as a repeater based on the position information of the repeater. The PN removal unit 290 selects a relay having a Ref PN as a mother station from the PN removal propagation environment map and generates a PN additional removal propagation environment map that is removed. The reporting unit 292 reports the optimum azimuth angle to the external server.

3 is a flowchart illustrating a method for estimating azimuth according to an embodiment of the present invention.

The azimuth estimating apparatus 150 receives pCell data from the database 140 (S310). The azimuth estimator 150 calculates the center angle for each sector of the base station having the Ref PN based on the distribution of the Ref PN (Reference PN) included in the pCell data in the propagation environment map to which the pCell data is applied, and the center angle for each sector. This sector azimuth is recognized (S320). Meanwhile, the azimuth estimating apparatus 150 may calculate the center angle for each sector of the base station having the Ref PN based on the distribution of the Ref PN in the PN removal propagation environment map and recognize the sector azimuth as the sector azimuth.

The azimuth estimating apparatus 150 sets the analysis target radius in a preset range based on the sector azimuth (S330). Meanwhile, the azimuth estimating apparatus 150 may set an analysis target radius in a preset range based on the sector azimuth in the PN removal propagation environment map. Here, the preset range is a distance set so that interference is excluded around the base station. For example, the preset range may be set to 100 m, but is not necessarily limited thereto.

The azimuth estimating apparatus 150 extracts Ref PN included in the set analysis target radius, and calculates a ratio for each sector having the same Ref PN among the extracted Ref PNs (S340). In addition, the azimuth estimating apparatus 150 calculates the ratio for each sector based on the number of sectors having the same Ref PN and the total number of sectors. On the other hand, the azimuth estimator 150 calculates the ratio for each sector having the same Ref PN in the PN removal propagation environment map.

The azimuth estimating apparatus 150 generates an angle adjusting azimuth angle in which the sector azimuth is adjusted to an angle according to a sector-by-sector ratio (S350). Meanwhile, the azimuth estimating apparatus 150 generates an angle adjusting azimuth in which the sector azimuth is adjusted to an angle according to a sector ratio in the PN removal propagation environment map. The azimuth estimating apparatus 150 selects a grid cell group corresponding to a sector having an angle-adjusted azimuth (S360). The azimuth estimating apparatus 150 generates azimuths for each lattice cell for each lattice cell included in the lattice cell group, calculating an angle between a center coordinate value and base station position information for each lattice cell based on the north-north direction (S370). ). Meanwhile, the azimuth estimator 150 calculates an angle between a center coordinate value of each grid cell and base station location information based on the north-north direction for each grid cell included in the grid cell group in the PN removal propagation environment map. The azimuth angle for each grid cell can be generated.

The azimuth estimator 150 checks the azimuths of the cells, selects the middle lattice cells having the median value between the lattice cells having the highest angle and the lowest angle among the azimuths of the cells, and optimizes the azimuth angles for the intermediate lattice cells. It is estimated by the azimuth angle (S380). On the other hand, the azimuth estimator 150 checks the azimuth angle of each cell in the PN removal propagation environment map, and selects a middle value lattice cell having a median value between the lattice cell having the highest angle and the lattice cell having the lowest angle among the azimuth angles. The azimuth angle for the value grid cell is estimated as the optimal azimuth angle.

The azimuth estimating apparatus 150 checks whether or not the PN for the repeater having the Ref PN as the home station is required in the propagation environment map to which the optimum azimuth is applied (S390). Step S390 refers to a step that an operator can select when the PN is determined to be necessary through the radio environment map to which the optimum azimuth angle is applied through the operator terminal. That is, if it is determined that the optimum azimuth is appropriate, it is not necessary to select PN removal in step S390, but if it is determined that the relay PN is included in the propagation environment map to which the calculated optimal azimuth is applied, PN removal may be selected. will be.

When it is confirmed in step S390 that the PN for the repeater having the Ref PN as the home station is required to be removed from the propagation environment map to which the optimum azimuth is applied, the azimuth estimating apparatus 150 may determine the propagation environment map to which the optimum azimuth is applied. After selecting the repeater having the Ref PN as the home station, the generated PN removal propagation environment map may be generated, and then steps S320 to S380 may be repeated. Meanwhile, the azimuth estimator 150 selects and removes grid cells estimated by the repeater based on the radiation pattern of the base station. The azimuth estimation device 150 selects and removes grid cells estimated by the repeater based on the position information of the repeater. The azimuth estimator 150 selects a repeater having Ref PN as a mother station from the PN removal propagation environment map and generates the removed PN additional removal propagation environment map. The azimuth estimating apparatus 150 reports the optimal azimuth to an external server.

In FIG. 3, steps S310 to S390 are described as being sequentially executed. However, this is merely illustrative of the technical idea of an embodiment of the present invention, and the general knowledge in the technical field to which an embodiment of the present invention belongs. Those having a variety of modifications and variations may be applicable by changing the order described in FIG. 3 or executing one or more steps of steps S310 to S390 in parallel without departing from the essential characteristics of an embodiment of the present invention. 3 is not limited to the time series order.

As described above, the azimuth estimation method according to an embodiment of the present invention described in FIG. 3 may be implemented in a program and recorded in a computer-readable recording medium. The computer-readable recording medium having recorded thereon a program for implementing the azimuth estimation method according to an embodiment of the present invention includes all kinds of recording devices storing data that can be read by a computer system. Examples of such computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, etc., and also implemented in the form of a carrier wave (e.g., transmission over the Internet) . The computer readable recording medium may also be distributed over a networked computer system so that computer readable code is stored and executed in a distributed manner. In addition, functional programs, code, and code segments for implementing an embodiment of the present invention may be easily inferred by programmers skilled in the art to which an embodiment of the present invention belongs.

4 is an exemplary diagram of a database according to an embodiment of the present invention.

Referring to the database 140 illustrated in FIG. 4, the location service target area is divided into grid units having a predetermined size, and each grid is defined as a pCell, and the positioning result is constructed as a pCell database for each defined pCell. The grid cell shown in FIG. 4 is a cell obtained by dividing a specific region into a predetermined size, and includes a base station sector number and a pCell ID based on a PSC for a base station located in a specific region. That is, the grid cell may be set to the size of NxM. For example, the grid cells may be set to square shapes such as 100x100, 50x50, 30x30, 25x25, 20x20, 10x10, 5x5, and 1x1, but are not necessarily limited thereto. Can be set.

Meanwhile, referring to the database 140 illustrated in FIG. 4, the database basically includes information of a system currently being serviced, a pilot signal of a neighboring base station, a signal strength, and the like. Information of the system currently being serviced includes system ID (SID: System ID, hereinafter referred to as "SID"), network ID (NID: Network ID, hereinafter referred to as "NID"), base station ID (BSID: Base Station ID, hereinafter " BSID "), the base station sector number currently being served (Ref_PN: Reference PN, hereinafter referred to as" Ref_PN "), the pilot phase in Ref_PN, signal strength, and the like. The database 140 refers to a general data structure implemented in a storage space (hard disk or memory) of a computer system by using a database management program (DBMS), and retrieves (extracts), deletes, edits, and adds data. It is a data storage type that can be freely used, such as relational database management systems such as Oracle, Informix, Sybase, DB2, object-oriented database management systems such as Gemstone, Orion, O2, and Excellence, Tamino, Sekai. It can be implemented for the purposes of one embodiment of the present invention using an XML-only database such as, and has the appropriate fields or elements to achieve its function.

5 is an exemplary diagram for describing sector-specific pCell data according to an embodiment of the present invention. As shown in FIG. 5, a cell, which is a service area for one base station providing a mobile communication service, is divided into α sector, β sector, and γ sector based on radio waves transmitted by a directional antenna installed in the base station. have. Here, pCell including pCell ID information, SYS ID information, HSC ID information, Ref PN information, Ref_PH Strength information, RX TOT PWR information, LATITUDE information, LOHGITUDE information, M_PH information, M_PH Phase information and M_PH Strength information for each sector. Save the data.

6 is an exemplary diagram for describing an outline of azimuth estimation according to an embodiment of the present invention. As illustrated in FIG. 6, the azimuth estimator 150 may receive base station information, sector-specific radius information, Tx power information, and sector-based azimuth split information through the database 140, and are classified by pCell ID. Boundary grid cells can be selected through PN matching using the cell, and the optimal azimuth angle can be estimated using the cell, and the azimuth angle of the α sector, the azimuth angle of the β sector, and the azimuth angle of the γ sector, which are various settings of the base station Antenna tilt information can be estimated. For example, based on the Ref PN measured at the radius to be analyzed, each set value can be calculated by combining the measured Rx Receiving Power, Signal to Noise Ratio (Ec / Io) values, and the propagation environment map. There will be. On the other hand, in the present invention, the estimation of the azimuth angles for the α sector, the β sector, and the γ sector is performed using a 50m × 50m grid with a given base station radius, a sector division range of the a sector for the α sector, the β sector, and the γ sector, and the influence range of the repeater. It is preferable to obtain by matching the range of Ref PN measured at but not necessarily limited thereto.

7 is an exemplary diagram of a propagation map in which a base station and a repeater are mixed according to an embodiment of the present invention. As shown in FIG. 7, a plurality of repeaters (indicated by yellow circles) are connected to one base station (indicated by a red circle) to show an enlargement of a base station propagation area. Improve call quality However, since the repeater does not function other than the meaning of the area extension of the base station propagation, all information on the radio wave transmitted from the repeater is the same as the base station information originally connected. Therefore, the PN included in the pilot signal transmitted from the repeater also has the same value as the PN of the connected base station sector. This is a fatal weakness in estimating the azimuth angle in the propagation environment map based on the base station antenna. That is, since the Ref PN measured in the grid cell is not distinguished from the radio wave transmitted from the base station or the radio wave transmitted from the repeater, it may be difficult to compare with the estimated sector area according to the sector-specific propagation environment map of the base station. have. Accordingly, in the present invention, the azimuth estimation device 150 generates a PN removal propagation environment map removed after selecting a repeater having Ref PN as a mother station from the propagation environment map to which the optimum azimuth angle is applied, and the description thereof will be described with reference to FIG. 8. do.

8 is an exemplary view to eliminate the PN confusion caused by the repeater according to an embodiment of the present invention. As shown in FIG. 8, a radio wave environment map consisting of only Ref PNs transmitted purely from the base station except for the Ref PN measured outside the sector area due to the repeater, and compared with the base station sector area estimated by the radio wave environment map The process must be carried out. This process can be defined as PN removal.

9 is an exemplary view illustrating azimuth adjustment and PN matching according to an embodiment of the present invention. As shown in FIG. 9A, the azimuth estimation device 150 receives pCell data from the database 140 and based on the distribution of Ref PN included in the pCell data in the propagation environment map to which the pCell data is applied. The center angle for each sector for the base station with Ref PN is calculated, and the center angle for each sector is recognized as the sector azimuth. The azimuth estimating apparatus 150 calculates a center angle for each sector for a base station having a Ref PN based on the distribution of Ref PN in the PN removal propagation environment map and recognizes it as a sector azimuth. For example, it is assumed that a cell, which is the coverage of a specific base station as a circle, as shown in FIG. 8 is assumed, and that the sectors α, β, and γ are set to 120 ° with respect to the base station, and one of them is shown in FIG. 9. As shown in (A), the center angle for a specific sector is calculated, and the center angle for the specific sector is recognized as the sector azimuth of the specific sector.

The azimuth estimating apparatus 150 sets the analysis target radius in a preset range based on the sector azimuth, and the azimuth estimating apparatus 150 extracts the Ref PN included in the set analysis target radius, and the same Ref among the extracted Ref PNs. Calculate the sector-by-sector ratio with PN. For example, if there are 1000 sectors having the same Ref PN within the radius to be analyzed, assuming that the α sector is 500, the β sector is 300, and the γ sector is 200, the azimuth estimation device 150 The ratio of sectors can be calculated based on the total number of sectors having the same Ref PN and the number of each sector.

In this case, as shown in FIG. 9B, the azimuth estimating apparatus 150 generates an angle-adjusted azimuth by adjusting the sector azimuth to an angle according to a sector-by-sector ratio. That is, as shown in FIG. 9B, an angle according to a sector ratio is applied to a sector azimuth with respect to a specific sector to form an angle adjustment azimuth.

In the above description, all elements constituting the embodiments of the present invention are described as being combined or operating in combination, but the present invention is not necessarily limited to the embodiments. In other words, within the scope of the present invention, all of the components may be selectively operated in combination with one or more. In addition, although all of the components may be implemented in one independent hardware, each or all of the components may be selectively combined to perform some or all functions combined in one or a plurality of hardware. It may be implemented as a computer program having a. Codes and code segments constituting the computer program may be easily inferred by those skilled in the art. Such a computer program may be stored in a computer readable storage medium and read and executed by a computer, thereby implementing embodiments of the present invention. The storage medium of the computer program may include a magnetic recording medium, an optical recording medium, a carrier wave medium, and the like.

In addition, the terms "comprise", "comprise" or "having" described above mean that the corresponding component may be included, unless otherwise stated, and thus excludes other components. It should be construed that it may further include other components instead. All terms, including technical and scientific terms, have the same meanings as commonly understood by one of ordinary skill in the art unless otherwise defined. Terms commonly used, such as terms defined in a dictionary, should be interpreted to coincide with the contextual meaning of the related art, and shall not be construed in an ideal or excessively formal sense unless explicitly defined in the present invention.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

As described above, the present invention sets the center angle of each sector as an analysis target radius by interworking with the pCell data from the pCell database, estimates the optimal azimuth angle of each sector within the corresponding analysis target radius, and then repeats the repeater PN within the corresponding analysis target radius. Applied in various fields to eliminate interference, the operator can calculate the azimuth angles for tens of thousands of antennas at a time using the already collected operating pCell DB, without the need for operators to measure the antenna azimuth angles directly in the field. It is a useful invention that produces the effect.

Claims (15)

an information receiver configured to receive pCell data from a pCell database;
Based on the distribution of Ref PNs (Reference PNs) included in the pCell data in the propagation environment map to which the pCell data is applied, a center angle for each sector of the base station having the Ref PN is calculated, and the center angle for each sector is a sector azimuth angle. A sector angle calculation unit for each sector to be recognized as;
An analysis target radius setting unit configured to set an analysis target radius in a preset range based on the sector azimuth;
A sector-by-sector ratio calculator configured to extract a Ref PN included in the set radius of analysis and calculate a ratio of sectors having the same Ref PN among the extracted Ref PNs;
An azimuth adjustment unit configured to generate an angle adjustment azimuth angle by adjusting the sector azimuth angle to an angle according to the sector ratio;
A grid cell group selector which selects a grid cell group corresponding to a sector having the angle-adjusted azimuth;
A cell azimuth calculation unit configured to generate an azimuth for each grid cell in which an angle between a center coordinate value of each grid cell and base station position information is calculated for each grid cell included in the grid cell group based on a true north direction; And
Checking the azimuth angle of each cell, selecting a middle lattice cell having a median value between the lattice cell having the highest angle and the lowest angle among the azimuth angles of the cells, and estimating the azimuth angle with respect to the intermediate lattice cell as the optimal azimuth angle. Optimal Azimuth Estimator
Azimuth estimation device comprising a. The method of claim 1,
And a PN cleansing unit configured to generate a PN removal propagation environment map removed after selecting a repeater having the Ref PN as a mother station from the propagation environment map to which the optimal azimuth angle is applied. The method of claim 2,
The PN removal unit,
Azimuth estimation device, characterized in that for removing the grid cells estimated by the repeater based on the radiation pattern of the base station. The method of claim 2,
The PN removal unit,
Azimuth estimation device, characterized in that for removing the grid cells estimated by the repeater based on the position information of the repeater. The method of claim 2,
The sector angle calculation unit for each sector calculates the center angle for each sector for the base station having the Ref PN based on the distribution of the Ref PN in the PN removal propagation environment map, and recognizes it as a sector azimuth angle.
The analysis target radius setting unit sets the analysis target radius in a preset range based on the sector azimuth in the PN removal propagation environment map.
The sector-specific ratio calculation unit calculates the sector-specific ratio having the same Ref PN in the PN removal propagation environment map,
The azimuth adjustment unit selects a group of grid cells corresponding to a sector having the angle adjustment azimuth to generate an angle adjustment azimuth in which the sector azimuth is adjusted to an angle according to the sector ratio in the PN removal propagation environment map;
The azimuth calculation unit for each cell calculates an angle between a center coordinate value of each grid cell and base station location information based on a north-north direction for each grid cell included in the grid cell group in the PN removal propagation environment map. Generate cell-specific azimuth,
The optimum azimuth estimator checks the azimuth angle of each cell in the PN removal propagation environment map, and selects a middle value lattice cell having a median value between the lattice cell having the highest angle and the lattice cell having the lowest angle among the azimuth angles of the cells, An azimuth estimating apparatus for estimating an azimuth with respect to a value grid cell as an optimal azimuth. The method of claim 5, wherein
The PN removal unit,
And selecting a repeater having the Ref PN as a mother station from the PN removal propagation environment map, and generating an additional PN removal removal propagation environment map. The method of claim 1,
The ratio calculation unit for each sector,
And calculating a ratio for each sector based on the number of sectors having the same Ref PN and the total number of sectors. The method of claim 1,
And the preset range is a distance set to exclude interference with respect to the base station. The method of claim 1,
The pCell data includes pCell ID information, sector-specific radius information, Tx power information, sector-specific azimuth segmentation information, SID (System ID), and NID (Network ID). And a base station ID (BSID), the Ref PN, a pilot phase in the Ref PN, and at least one or more information of signal strength. The method of claim 1,
And a reporting unit for reporting the optimal azimuth to an external server. an information receiver configured to receive pCell data from a pCell database;
Based on the distribution of Ref PNs (Reference PNs) included in the pCell data in the propagation environment map to which the pCell data is applied, a center angle for each sector of the base station having the Ref PN is calculated, and the center angle for each sector is a sector azimuth angle. A sector angle calculation unit for each sector to be recognized as;
An analysis target radius setting unit configured to set an analysis target radius in a preset range based on the sector azimuth;
A sector-by-sector ratio calculator configured to extract a Ref PN included in the set radius of analysis and calculate a ratio of sectors having the same Ref PN among the extracted Ref PNs;
An azimuth adjustment unit configured to generate an angle adjustment azimuth angle by adjusting the sector azimuth angle to an angle according to the sector ratio;
A grid cell group selector which selects a grid cell group corresponding to a sector having the angle-adjusted azimuth;
A cell azimuth calculation unit configured to generate an azimuth for each grid cell in which an angle between a center coordinate value of each grid cell and base station position information is calculated for each grid cell included in the grid cell group based on a true north direction;
Checking the azimuth angle of each cell, selecting a middle lattice cell having a median value between the lattice cell having the highest angle and the lowest angle among the azimuth angles of the cells, and estimating the azimuth angle with respect to the intermediate lattice cell as the optimal azimuth angle. An optimal azimuth estimator; And
PN cleansing unit for generating a PN removal propagation environment map removed after selecting a repeater having the Ref PN as a mother station from the propagation environment map to which the optimum azimuth angle is applied
Azimuth estimation device comprising a. an information receiving step of receiving pCell data from a pCell database;
Based on the distribution of Ref PNs (Reference PNs) included in the pCell data in the propagation environment map to which the pCell data is applied, a center angle for each sector of the base station having the Ref PN is calculated, and the center angle for each sector is a sector azimuth angle. Calculating a center angle for each sector to be recognized as;
An analysis target radius setting step of setting an analysis target radius in a preset range based on the sector azimuth;
A sector-by-sector ratio calculating step of extracting a Ref PN included in the set radius of analysis and calculating a ratio of sectors having the same Ref PN among the extracted Ref PNs;
An azimuth adjustment step of generating an angle adjustment azimuth angle by adjusting the sector azimuth angle to an angle according to the ratio of each sector;
Selecting a grid cell group corresponding to a sector having the angle-adjusted azimuth;
A cell azimuth calculation step of generating an azimuth for each grid cell in which an angle between a center coordinate value and base station position information for each grid cell is calculated based on a north-north direction for each grid cell included in the grid cell group; And
Checking the azimuth angle of each cell, selecting a middle lattice cell having a median value between the lattice cell having the highest angle and the lowest angle among the azimuth angles of the cells, and estimating the azimuth angle with respect to the intermediate lattice cell as the optimal azimuth angle. Optimal azimuth estimation step
Azimuth estimation method comprising a. The method of claim 12,
PN cleansing step of generating a PN removal propagation environment map by selecting and removing a repeater having the Ref PN as a mother station from the propagation environment map to which the optimum azimuth angle is applied.
Azimuth estimation method further comprises. The method of claim 13,
And performing the iteration of the information receiving step and the sector-by-sector azimuth estimation step using the PN removal propagation environment map. A computer-readable recording medium having recorded thereon a program for executing each step of the azimuth estimation method according to any one of claims 12 to 14.

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