JP6201764B2 - Position specifying device, position specifying method, and position specifying program - Google Patents

Description

  The present invention relates to a position specifying device, a position specifying method, and a position specifying program.

  Conventionally, there is known a wireless location detection technique that uses the geographical distribution of received signal strength indicators (RSSI) appearing in each area as a feature amount for estimating the area where the terminal is located. . For example, for each predetermined area (for example, a room or the like), learning data in which the geographical distribution information of RSSI of radio waves transmitted from each wireless access point is recorded is created in advance. When the terminal receives observation data from a plurality of wireless access points, the area where the terminal is located is estimated by matching the received observation data with learning data.

  In such area detection technology, as the number of areas to be estimated increases, the amount of processing for area detection increases exponentially. Location detection is effective. For example, an area group consisting of a plurality of areas is set in advance, and for area detection, the area where the terminal can be located is estimated in area group units, and at the last stage, from the last remaining area group Estimate one area where the terminal is located.

JP 2013-232805 A JP 2009-198454 A

  However, since there is a gray zone with a similar radio wave environment near the boundary between area groups, an area group that does not include the area where the terminal is actually located (called the correct area) is selected by mistake. After that, there is a problem that the correct answer area cannot be reached and erroneous detection is caused.

  In one aspect, an object of the present invention is to make it possible to specify an area where a terminal is located with high accuracy when performing multi-step processing type location detection.

  According to one aspect of the present embodiment, each area is a first area in which the characteristics of radio waves received in the area belong to a single radio wave source, or a second area other than the first area. An area type determination unit that determines any of the above, and a group that includes each first area for each of the plurality of first areas, and that the second area belongs to a plurality of groups that correlate with radio wave characteristics Based on the characteristics of the radio waves acquired by the group determination unit and the terminal, one group in which the terminal is located is identified from among the groups, and the one in which the terminal is located is selected from among the areas belonging to the one group. A terminal position specifying unit for specifying the area.

  In addition, as means for solving the above-described problems, a method and a program can be used.

  According to one aspect of the present embodiment, the area where the terminal is located can be specified with high accuracy when performing multi-step processing type location detection.

It is a figure showing the example of whole composition of a position specific system. It is a figure which shows the hardware structural example of a position specific server. It is a figure which shows the function structural example of a position specific server. It is a whole flowchart which shows an example of information processing. It is a flowchart which shows an example of an area classification determination process. It is a figure which shows an example of an area classification. It is a flowchart which shows an example of an affiliation group determination process. It is a figure which shows an example of a correlation value calculation formula. It is a figure which shows an example of area grouping. It is a figure which shows an example of the learning data after area grouping. It is a flowchart which shows an example of a terminal position specific process. It is a figure which shows an example of terminal position specification. It is a flowchart which shows an example of an area classification determination process (the 1). It is a flowchart which shows an example of an area classification determination process (the 2).

  Examples of the present invention will be described in detail below.

<System configuration example>
FIG. 1 is a diagram showing an example of the overall configuration of the position specifying system in the present embodiment. As shown in FIG. 1, the location specifying system in the present embodiment is either a location specifying server 1 that specifies the location of a mobile terminal 3 or an access point (AP: Access Point) 2 of a wireless LAN (Local Area Network). Mobile terminal 3 located in the area. The location specifying server 1 and the AP 2 are communicably connected via a wired or wireless network, and the AP 2 and the mobile terminal 3 are communicably connected via a wireless network.

  First, in the position specifying system, as shown in FIG. 1, the entire area 4 is composed of areas a to x. The mobile terminal 3 is located in any one of the areas a to x. Each area can be, for example, each room.

  The location specifying server 1 acquires the received RSSI and the area where the RSSI is acquired by acquiring the received signal strength indicator (RSSI) of the radio wave transmitted by each AP 2 in each of the areas a to x. Learning data for each area (RSSI geographical distribution information) recorded in association with position information is created in advance. When the location specifying server 1 obtains the RSSI of the radio wave observed by the mobile terminal 3, the mobile terminal 3 matches the acquired RSSI with the learning data, so that the mobile terminal 3 is in any one of the areas a to x. To determine if it is located at.

  In the following embodiments, the location server 1 and the mobile terminal 3 will be described as separate devices. However, for example, the mobile terminal 3 may be configured to have the function of the location server 1. May be. In this case, the mobile terminal 3 has learning data in advance. When the mobile terminal 3 acquires the RSSI of the radio wave transmitted by the AP 2, the mobile terminal 3 collates (matches) the acquired RSSI with the learning data, so that the own terminal It is specified whether it is located in any area of x.

  FIG. 2 is a diagram illustrating a hardware configuration example of the location specifying server 1 in the present embodiment. The location server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a HDD (Hard Disk Drive) 14, an interface 15, an input device 16, as main components. A display device 17, a communication device 18, and a drive 19 are included.

  The CPU 11 is composed of a microprocessor and its peripheral circuits, and is a circuit that controls the entire apparatus. The ROM 12 is a memory that stores a predetermined control program executed by the CPU 11. The RAM 13 is a memory used as a work area when the CPU 11 executes a predetermined control program stored in the ROM 12 to perform various controls.

  The HDD 14 is a non-volatile storage device that stores various information including a general-purpose OS (Operating System), various programs including a position specifying program, learning data, and the like.

  The interface 15 is an interface for connecting to an external device.

  The input device 16 is a device for a user to perform various input operations. The input device 16 includes a mouse, a keyboard, a touch panel switch provided so as to be superimposed on the display screen of the display device 17, and the like.

  The display device 17 is a device that displays various data on a display screen. For example, it is composed of LCD (Liquid Crystal Display), CRT (Cathode Ray Tube) and the like.

  The communication device 18 is a device that communicates with an external device via a network. Supports communication according to various network forms including wired and wireless networks.

  The drive 19 is a device that reads various data stored in the storage medium 20 when the storage medium 20 is set in the drive 19.

  FIG. 3 is a diagram illustrating a functional configuration example of the location specifying server 1 in the present embodiment. The location specifying server 1 includes an area type determining unit 101, a belonging group determining unit 102, a terminal location specifying unit 103, and a storage unit 104 as main functional units.

  The area type determination unit 101 determines the type of each area as a first area (for example, a core area) in which the characteristics of radio waves received in the area belong to a single radio wave source (for example, any one of AP2). Or a second area (for example, a gray area) that is an area other than the first area.

  The affiliation group determination unit 102 creates an area group to which the core areas belong one by one for each group, and assigns the gray area to all of the plurality of area groups correlated with the radio wave characteristics.

  The terminal location specifying unit 103 specifies the area group where the mobile terminal 3 is located from the plurality of area groups based on the characteristics of the radio wave acquired by the mobile terminal 3, and finally specifies one area One area where the mobile terminal 3 is located is identified from the areas belonging to the group.

  The storage unit 104 stores, for example, AP position information, area position information, learning data for each area, learning data for each area group, and the like.

  The functional unit is realized by a computer program executed on hardware resources such as a CPU, a ROM, and a RAM of a computer constituting the location specifying server 1. These functional units may be read as “means”, “module”, “unit”, or “circuit”.

<Information processing>
FIG. 4 is an overall flowchart illustrating an example of information processing in the present embodiment. Hereinafter, an area type determining process (S100) executed by the area type determining unit 101, an belonging area group determining process (S200) executed by the belonging group determining unit 102, and a terminal position specifying process (S300) executed by the terminal position specifying unit 103 Will be described.

(Area type determination process in S100)
FIG. 5 is a flowchart illustrating an example of area type determination processing in the present embodiment. This area type determination process is a process for determining the area type of each area as either “core area” or “gray area”. Therefore, for example, when there are areas a to x, the area type determination process is executed for each area, whereby the area type of each area is determined. This area type determination process is executed by the area type determination unit 101 of the location specifying server 1.

  S101: The area type determination unit 101 acquires one area to be processed.

  S102: The area type determination unit 101 acquires AP position information and area position information of an area to be processed (for example, area a) from the storage unit 104. The AP position information is, for example, AP installation position coordinates, a floor, and the like. The area position information includes an area position coordinate range, a floor, and the like.

  S103: Next, the area type determination unit 101 determines whether or not an AP is located in the area to be processed (for example, area a). When the AP is located in the area, the process proceeds to S104. On the other hand, when the AP is not located in the area, the process proceeds to S105.

  S104: The area type determination unit 101 determines the area as a “core area”.

  S105: The area type determination unit 101 determines, for an area to be processed (for example, area a), whether the area is within a certain distance from any AP. If the area is within a certain distance from any AP, the process proceeds to S104. On the other hand, if the area is not within a certain distance from any AP, the process proceeds to S106.

  S106: The area type determination unit 101 determines the area as a “gray area”.

  FIG. 6 is a diagram illustrating an example of area types in the present embodiment. As shown in FIG. 6, an area where an AP is located, an area within a certain distance from any AP is determined as a “core area”. On the other hand, areas other than the “core area” are determined as “gray areas”. In addition, since the area type determination process is executed with all areas as processing targets, each area is determined as either “core area” or “gray area” as the area type.

  Here, since the radio wave from the AP is attenuated in inverse proportion to the distance, a radio wave having a strong characteristic is observed in the vicinity of the AP. Therefore, the “core area” at a short distance from the AP can be said to be an area where the characteristics of radio waves received in the area belong to a single radio wave source, and the radio signal intensity from a single AP is highly independent. For this reason, the “core area” is an area that is very unlikely to be erroneously determined as another area in the estimation of the area in which it is located. That is, when the mobile terminal is located in the “core area”, it is correctly determined that the mobile terminal is located in the “core area”. On the contrary, the possibility that the mobile terminal is erroneously determined to be located outside the “core area” is very low.

(S200 group assignment process)
FIG. 7 is a flowchart illustrating an example of the belonging group determination process in the present embodiment. The affiliation group determination process is a process for determining whether each “gray area” belongs to any “core area” area group, with one “core area” as a group leader. Thus, for example, when there are four “core areas”, there are four area groups A, B, C, and D with each “core area” as a group leader. Then, it is determined whether the “gray area” belongs to any one of these area groups A, B, C, and D, or any one of them simultaneously. The belonging group determining process is executed by the belonging group determining unit 102 of the location specifying server 1.

  S201: The area type determination unit 101 acquires one area to be processed.

  S202: The affiliation group determination unit 102 determines whether the area is a “core area” for the area to be processed (for example, area a) based on the result of the area type determination process in S100. If the area is a “core area”, the process proceeds to S203. On the other hand, if the area is not the “core area”, the process proceeds to END, and the process ends.

  S203: The belonging group determination unit 102 acquires one gray area. For example, area b which is a gray area is acquired.

  S204: The affiliation group determination unit 102 calculates a correlation value between the core area to be processed acquired in S201 and the gray area acquired in S203.

  FIG. 8 is a diagram illustrating an example of a correlation value calculation formula in the present embodiment. For example, the correlation value (correlation coefficient) C between the n-dimensional RSSI vector x in the core area and the n-dimensional RSSI vector y in the gray area is calculated by using the correlation value calculation formula shown in the figure. be able to. The RSSI vector is a feature quantity of radio waves received in the area (see, for example, FIG. 10 described later).

  S205: The belonging group determination unit 102 determines whether or not the correlation value between the core area and the gray area calculated in S204 is larger than a predetermined threshold value. That is, it is determined whether the RSSI of the gray area is correlated with (or similar to) the RSSI of the core area. For this reason, the predetermined threshold value is a value serving as a border for determining whether RSSI is correlated. When it is larger than the predetermined threshold value, the process proceeds to S206. If it is smaller than the predetermined threshold, the process proceeds to S207.

  S206: The belonging group determination unit 102 assigns the gray area acquired in S202 to the area group of the core area. For example, area b which is a gray area is assigned to an area group having area a as a core area.

  S207: The belonging group determination unit 102 determines whether there is an unprocessed gray area. For example, if there is an unprocessed gray area in addition to the processed area b, the process proceeds to S208. If there is no unprocessed gray area, the process proceeds to END and ends the process.

  S208: The belonging group determination unit 102 acquires one unprocessed gray area. And it progresses to S204 again. Thereafter, it is determined whether or not the correlation value between the core area (for example, area a) and each of all gray areas is larger than a predetermined threshold value, and the gray area having a correlation value larger than the predetermined threshold value is determined as the core area. It is assigned to the area group (for example, area a).

  In addition, the area whose area type is “core area” is a group leader, and one core area belongs to one area group. On the other hand, a “gray area” can belong to an area group of a plurality of core areas at the same time as long as it correlates with the RSSI of the core area.

FIG. 9 is a diagram illustrating an example of area grouping in the present embodiment. With the “core area” as the core, “gray areas” having a correlation value with a certain value or more with the “core area” are grouped into an area group of the “core area”. For example, in the case of FIG. 9, grouping is performed as follows.
Area group A: Area a (core area), area b, area c, area j, area k, area l, area n
Area group B: area c, area d, area e (core area), area f, area g, area h, area i, area j, area p
Area group C: area j, area l, area m, area n, area o, area v, area w (core area), area x
Area group D: area g, area h, area p, area q, area r, area s (core area), area t, area u
FIG. 10 is a diagram illustrating an example of learning data after area grouping in the present embodiment. FIG. 10 shows learning data after area grouping of area group A and area group B. Actually, however, there is learning data for the area group, so in the above example, area group C, There is learning data for area group D.

  The learning data after area grouping includes information such as “area group name”, “affiliated area name”, “core area name”, “representative RSSI vector”, “RSSI vector of each area” as “information type”. Hold.

  “Area group name” indicates the group name of the area group. In the case of area group A, the “value” is A.

  “Affiliation area name” indicates an area belonging to the area group. For example, in the case of area group A, the “values” are a, b, c, j, k, l, and n.

  The “core area name” indicates a core area among the areas belonging to the area group. For example, in the case of area group A, the “value” is a. Note that the number of areas included in the “core area name” is one of the core areas.

  The “representative RSSI vector” is an RSSI vector representing an area belonging to an area group. It is used when specifying in which area group the mobile terminal 3 is located.

  The “RSSI vector of each area” is an RSSI vector of radio waves observed in each area belonging to the area group. Finally, it is used to identify in which area of the group the mobile terminal 3 is located.

  Note that a “gray area” that is an area other than the “core area” can belong to an area group of a plurality of core areas at the same time as long as it correlates with the RSSI of the core area. Therefore, comparing the “affiliation area name” in FIG. 10, it can be seen that areas c and j, which are gray areas, belong to both area group A and area group B at the same time.

(Terminal position specifying process in S300)
FIG. 11 is a flowchart illustrating an example of the terminal location specifying process in the present embodiment. This terminal location identification process is a multi-stage processing type location detection. In the first stage, the area where the terminal can be located is identified in area group units, and in the last stage, the last remaining area group is identified. This is a process of identifying one area where the terminal is located. The main group determination process is executed by the terminal position specifying unit 103 of the position specifying server 1.

  Note that it is assumed that learning data after area grouping is created at this point in time by S100 and S200 (for example, see FIG. 10).

  S301: The terminal location specifying unit 103 acquires RSSI at the current location of the mobile terminal 3.

  S302: Next, the terminal location specifying unit 103 refers to the learning data after the area grouping, and by matching (matching) the acquired RSSI with the representative RSSI of each area group, the RSSI is the highest among the area groups. The correlated (similar) area group is specified as the area group in which the mobile terminal is currently located.

  S303: Next, the terminal location specifying unit 103 refers to the learning data after area grouping, and by matching (matching) the acquired RSSI with the RSSI of each area belonging to the area group where the mobile terminal is currently located, From the areas in the area group, the area where the RSSI is most correlated (similar) is specified as the area where the mobile terminal is currently located.

  FIG. 12 is a diagram illustrating an example of specifying the terminal position in the present embodiment.

  For example, when the area groups A to D exist, the terminal location specifying unit 103 compares the acquired RSSI of the mobile terminal 3 with the representative RSSI of each of the area groups A to D to match these area groups. Among these, the area group A with the most correlated (similar) RSSI is specified as the area group in which the mobile terminal is currently located.

  Next, the terminal location specifying unit 103 obtains the RSSI of the mobile terminal 3 and each area a, area b, area c, area j, area k, area l, belonging to the area group A where the mobile terminal is currently located. By collating (matching) each area n with RSSI, area j where RSSI is most correlated (similar) is identified from these areas as the area where the mobile terminal is currently located.

  As for the correlation, for example, a correlation value calculation formula shown in FIG. 8 can be used.

<Modification>
A modification of the area type determination process (FIG. 4) will be described. The area type determination process in this modification is a process for determining the area type of each area to be either “core area” or “gray area” according to the score.

  FIG. 13 is a flowchart illustrating an example of area type determination processing (part 1) in the present modification.

  S111: The area type determination unit 101 acquires one area to be processed.

  S112: The area type determination unit 101 acquires AP position information and area position information of an area to be processed (for example, area a) from the storage unit 104. The AP position information is, for example, AP installation position coordinates, a floor, and the like. The area position information includes an area position coordinate range, a floor, and the like.

  S113: The area type determination unit 101 defines a variable C score here and initializes the value. That is, C score = 0.

  S114: The area type determination unit 101 acquires one other area different from the area to be processed. For example, when the area to be processed acquired in S112 is area a, area b which is another area is acquired.

  S115: The area type determination unit 101 calculates a correlation value between the area to be processed acquired in S111 and the other area acquired in S114. For correlation, for example, a correlation value calculation formula shown in FIG. 8 can be used.

  S116: The area type determination unit 101 determines whether or not the correlation value between the area calculated in S115 and the other area is equal to or less than a predetermined threshold. That is, it is determined whether the RSSI of the area is correlated (similar) with the RSSI of the other area. If it is equal to or smaller than the predetermined threshold value, the process proceeds to S117. When it is larger than the predetermined threshold value, the process proceeds to S118.

  S117: The area type determination unit 101 adds 1 to the C score when the correlation value between the area calculated in S115 and another area is equal to or less than a predetermined threshold. The C score of the area becomes higher as the number of other areas having a correlation value equal to or lower than a predetermined threshold (determined not correlated) increases.

  S118: The area type determination unit 101 determines whether there is an unprocessed other area. For example, when there is an unprocessed area other than the processed area b, the process proceeds to S119. When there is no unprocessed other area, the process proceeds to S120.

  S119: The area type determination unit 101 acquires one unprocessed other area. And it progresses to S115 again. Thereafter, it is determined whether the correlation value between the area to be processed (for example, area a) and each of all other areas is equal to or less than a predetermined threshold value, and the final C score is determined according to the determination result.

  S120: After determining the final C score, the area type determining unit 101 calculates the reciprocal of the two items of the distance to the nearest AP of the area to be processed (for example, area a), and calculates the calculated value. Is a variable D score. The value of the D score increases as the area is closer to the AP. In other words, the higher the D score, the closer to the AP, the more intense radio waves are observed.

  S121: The area type determination unit 101 adds the C score and the D score, and sets the total value as the total score. The total score increases when the area does not correlate with other areas due to the C score, and the value increases as the area is closer to the AP due to the D score.

  As described above, the total score of the area to be processed is calculated. The total score for the area is calculated for all areas. For example, when the areas a to x exist, an area type determination process is executed for each area, thereby calculating an overall score for the area.

  FIG. 14 is a flowchart illustrating an example of area type determination processing (part 2) in the present modification. As a premise, the total score of the area is calculated for all areas through the flowchart of FIG.

  S122: The area type determination unit 101 acquires one area to be processed.

  S123: The area type determination unit 101 determines whether or not the total score of the processing target area acquired in S122 is within the top N. Note that the value of N is the number of area groups to be divided and set from the request for reducing the processing amount. For example, when the number of area groups is to be set to four, such as area groups A to D, N = 4. When the total score of the area is within the top N, the process proceeds to S124. On the other hand, if the total score of the area is not within the top N, the process proceeds to S125.

  S124: The area type determination unit 101 determines the area as a “core area”.

  S125: The area type determination unit 101 determines the area as a “gray area”.

  In this modification, the total score is higher when the area is not correlated with other areas due to the C score, and the value is higher as the area is closer to the AP due to the D score. For this reason, an area in which the characteristics of radio waves received in the area belong to a single radio wave transmission source is determined as a “core area”. Further, such an area is an area in which the radio signal intensity from a single AP is highly independent, and it is very unlikely that the area is erroneously determined as another area in the estimation of the area where it is located. That is, when the mobile terminal is located in the “core area”, it is correctly determined that the mobile terminal is located in the “core area”. On the contrary, the possibility that the mobile terminal is erroneously determined to be located outside the “core area” is very low.

  As the “predetermined threshold value”, a value obtained in the process such as a median value or average value of correlation values of each area or a correlation value of a combination of other areas may be used.

<Summary>
Since there are areas with similar radio wave environments near the boundary between area groups, the radio wave characteristics of the terminal may correlate with the radio wave characteristics of multiple area groups when the terminal position is located in an area near the boundary. . Therefore, it becomes impossible to reach the correct area by selecting an area group that does not include the correct area where the terminal is actually located at a certain stage.

  According to this embodiment and this modification, the gray area can belong to an area group having a plurality of core areas as the core at the same time. Therefore, even if the radio wave characteristics of the terminal correlate with the radio wave characteristics of a plurality of area groups, all of the correlated area groups include a correct area where the terminal is located. Therefore, the correct area where the terminal is actually located can be reached from the finally narrowed area group.

  That is, according to the present embodiment and the present modification, the area where the terminal is located can be specified with high accuracy when performing multi-step processing type location detection.

  The present invention is not limited to the specifically disclosed embodiments, and various modifications and changes can be made without departing from the scope of the claims. The present invention is not limited to the example of the wireless LAN, and can be applied to various wireless technologies as long as the terminal position can be specified based on radio waves from a radio wave source (radio wave transmitter).

The following additional notes are further disclosed with respect to the embodiment including the above examples.
(Appendix 1)
An area type determination unit that determines each area as either a first area in which the characteristics of radio waves received in the area belong to a single radio wave source or a second area that is an area other than the first area. When,
A group including each first area is created for each of the plurality of first areas, and an affiliation group determining unit that causes the second area to belong to the plurality of groups correlated with radio wave characteristics;
Based on the radio wave characteristics acquired by the terminal, the group in which the terminal is located is identified from the group, and the area in which the terminal is located is identified from the areas belonging to the group. A terminal location identifying unit;
A position specifying device comprising:
(Appendix 2)
The first area is
At least one of the area where the radio wave source is installed in the area or the area at a certain distance from the radio wave source,
The position specifying device according to supplementary note 1, characterized by:
(Appendix 3)
The first area is
The characteristics of radio waves received in the first area are areas that do not correlate with the characteristics of radio waves received in a predetermined number of other areas;
The position specifying device according to supplementary note 1, characterized by:
(Appendix 4)
The first area is
Furthermore, the area must be at a certain distance from the radio wave source,
The position specifying device according to supplementary note 3, characterized by:
(Appendix 5)
A location method performed by a computer,
A process of determining each area as either a first area in which the characteristics of radio waves received in the area belong to a single radio wave source or a second area that is an area other than the first area;
Creating a group including each first area for each of the plurality of first areas, and causing the second area to belong to a plurality of the groups correlated with radio wave characteristics;
Based on the radio wave characteristics acquired by the terminal, the group in which the terminal is located is identified from the group, and the area in which the terminal is located is identified from the areas belonging to the group. Processing,
The position specifying method characterized by performing.
(Appendix 6)
Each area is determined to be either a first area where the characteristics of radio waves received within the area belong to a single radio wave source, or a second area that is an area other than the first area,
Create a group including each first area for each of the plurality of first areas, and make the second area belong to the plurality of groups with which radio wave characteristics are correlated,
Based on the radio wave characteristics acquired by the terminal, the group in which the terminal is located is identified from the group, and the area in which the terminal is located is identified from the areas belonging to the group. A location specifying program that causes a computer to execute processing.

1 location server 2 access point 3 mobile terminal 11 CPU
12 ROM
13 RAM
14 HDD
DESCRIPTION OF SYMBOLS 15 Interface 16 Input device 17 Display apparatus 18 Communication apparatus 19 Drive 201 Storage medium 101 Area type determination part 102 Affiliation group determination part 103 Location specification part 104 Storage part

Claims (5)

An area type determination unit that determines each area as either a first area in which the characteristics of radio waves received in the area belong to a single radio wave source or a second area that is an area other than the first area. When,
A group including each first area is created for each of the plurality of first areas, and an affiliation group determining unit that causes the second area to belong to the plurality of groups correlated with radio wave characteristics;
Based on the radio wave characteristics acquired by the terminal, the group in which the terminal is located is identified from the group, and the area in which the terminal is located is identified from the areas belonging to the group. A terminal location identifying unit;
A position specifying device comprising: The first area is
At least one of the area where the radio wave source is installed in the area or the area at a certain distance from the radio wave source,
The position specifying device according to claim 1. The first area is
The characteristics of radio waves received in the first area are areas that do not correlate with the characteristics of radio waves received in a predetermined number of other areas;
The position specifying device according to claim 1. A location method performed by a computer,
A process of determining each area as either a first area in which the characteristics of radio waves received in the area belong to a single radio wave source or a second area that is an area other than the first area;
Creating a group including each first area for each of the plurality of first areas, and causing the second area to belong to a plurality of the groups correlated with radio wave characteristics;
Based on the radio wave characteristics acquired by the terminal, the group in which the terminal is located is identified from the group, and the area in which the terminal is located is identified from the areas belonging to the group. Processing,
The position specifying method characterized by performing. Each area is determined to be either a first area where the characteristics of radio waves received within the area belong to a single radio wave source, or a second area that is an area other than the first area,
Create a group including each first area for each of the plurality of first areas, and make the second area belong to the plurality of groups with which radio wave characteristics are correlated,
Based on the radio wave characteristics acquired by the terminal, the group in which the terminal is located is identified from the group, and the area in which the terminal is located is identified from the areas belonging to the group. A location specifying program that causes a computer to execute processing.

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