JP4760967B2 - Radio station identification device, radio station identification method, radio station identification program - Google Patents

Description

  The present invention relates to a radio station identification device that identifies a source radio station based on a received signal obtained by receiving a radio wave transmitted from a radio station.

In a radio station identification device that identifies a radio station that transmits a signal such as a radio wave, generally, a feature vector waveform extracted from a received signal is sequentially compared with a teacher vector waveform (teacher data) registered in a database in advance. Thus, the transmission source radio station is specified.
Further, in the radio station identification device, the radio station is generally identified using a feature vector waveform indicating a frequency fluctuation waveform at the rising time at the time of transmission in the received signal.

Here, the feature color of the feature vector waveform actually measured by the wireless station identification device will be described.
It is known that the feature vector waveform differs depending on the transmission frequency of the signal transmitted from the radio station, and that the actually measured waveform is changed by changing the transmission frequency (frequency change of the feature vector waveform). Further, it is known that the feature vector waveform changes with the passage of time (the change over time of the feature vector waveform).

Here, the frequency change of the feature vector waveform will be described with reference to FIG.
FIG. 4 shows a feature vector waveform actually measured when the transmission frequency of transmission signals from the same radio is changed. Here, the horizontal axis in FIG. 4 represents time, and the vertical axis represents frequency.
In addition, the waveforms [1], [2], and [3] in FIG. 4 indicate feature vector waveforms of the transmission frequency (f-4 MHz), the transmission frequency (f), and the transmission frequency (f + 4 MHz), respectively. That is, the waveform of [1] indicates a waveform having a frequency 4 MHz lower than that of [2], and the waveform of [3] indicates a waveform having a frequency 4 MHz higher than that of [2].

In addition, FIG. 4 shows a feature vector waveform obtained by actually measuring the signals transmitted at the transmission frequencies [1] to [3] five times, and these measured results are superimposed and displayed.
As a result, FIG. 4 shows that the feature vector waveforms of the same transmission frequency draw almost the same waveform pattern (for this reason, the feature vector waveforms of the respective transmission frequencies are shown in bold lines). ) On the other hand, when feature vector waveforms of different transmission frequencies are compared, the positions and sizes of the peak of the waveforms are different, which indicates that the feature vector waveforms are different depending on the transmission frequency.

Next, the secular change of the feature vector waveform will be described with reference to FIG.
The waveform shown in FIG. 5 shows an actually measured feature vector waveform (horizontal axis: time, vertical axis: frequency), and the first measured feature vector waveform ([1] initial measurement), one year from the initial measurement, respectively. The feature vector waveform measured after 10 months ([2] measured after 1 year and 10 months) and the feature vector waveform measured after 3 years from the initial measurement ([3] measured after 3 years) are shown.

In FIG. 5, [1] to [3] feature vector waveforms measured five times at each measurement (measurement date) are superimposed and displayed.
Here, when the feature vector waveforms measured on the same measurement day are compared with each other, it is shown that almost the same pattern is drawn (for this reason, the feature vector waveforms at the time of each measurement are shown in bold lines). ing). On the other hand, when comparing feature vector waveforms with different measurement dates, the positions and sizes of the peaks in the waveforms are different, and the amount of change in the feature vector waveform is small in a short period. It is shown that the specified feature vector waveform changes with the passage of a period such as 3 years.
4 and 5 show measurement results of signals from different wireless devices.

As described above, when the reception frequency (= transmission frequency of the radio station) of the feature vector waveform and the teacher vector waveform are greatly different from each other, the identification performance (identification performance) of the radio station in the radio station identification device is degraded. There was an inconvenience.
Moreover, since it is necessary to collect and register the feature vector waveforms at different reception frequencies for each wireless station, there is a disadvantage that it takes time for registration work.

  As a related technology, radio station identification processing for identifying radio units (radio stations) is performed for each frequency channel, and the number of radio stations and signal emission (transmission) are transmitted for each frequency channel using the radio station identification processing results. ) A radio wave monitoring device that investigates history, number of transmissions, total transmission time, frequency channel utilization rate, and the like is disclosed (Patent Document 1).

  In addition, as another related technology, a database that stores the frequency fluctuation detected in the received signal as a feature vector of a radio device and stores this feature vector as a known feature vector in a known radio device is newly extracted. A wireless device identification apparatus is disclosed that identifies an unknown wireless device model or solid based on the similarity of a feature vector with a known feature vector (Patent Document 2).

JP 2007-201834 A JP 2006-211250 A

  In the related art described in Patent Document 1, after the identification processing of the radio device (radio station) is performed, the identification processing result can be screened based on the actual measurement time and frequency. When the reception frequency (= transmission frequency of the radio station) with the vector waveform is greatly different from each other, there is an inconvenience that it is not possible to suppress degradation of radio station identification performance (identification performance) in the radio station identification device. .

  In the related art described in Patent Document 2, when the measurement date and time of the feature vector waveform and the pre-registered teacher vector waveform are different, as described above, the feature vector waveform of the signal transmitted from the wireless station However, the radio station identification performance (identification performance) is degraded.

  Furthermore, since the degree of aging of the feature vector waveform is difficult to predict at the time of registration, the effectiveness of each of the teacher vector waveforms registered in advance in the database, for example, varies with the passage of time. There is a disadvantage that the base station identification performance based on it is degraded.

  In addition, in the database in which the teacher vector waveform is registered in advance, the high and low effectiveness are mixed, and the effectiveness of the teacher vector waveform cannot be distinguished, so the effectiveness of the teacher vector waveform is maintained. There is an inconvenience that maintenance for doing so becomes difficult.

  Furthermore, when registering a new teacher vector waveform or a teacher vector waveform having many different frequencies in order to maintain the effectiveness of the teacher vector waveform according to the aging of the feature vector waveform, the teacher vector waveform (teacher data) This increases the number of registrations, which may cause inconveniences such as an increase in processing time and processing load required when performing base station identification or the like.

[Object of invention]
The present invention improves the inconveniences of the related technology and the other inconveniences, and quickly and reliably identifies a radio station of a transmission source based on a received signal, a radio apparatus identification method, and a radio apparatus identification program The purpose is to provide

  In order to achieve the above object, a radio station identification apparatus according to the present invention includes a receiving unit that receives a radio signal from a radio station, and the radio signal that is transmitted based on a feature vector waveform included in the radio signal. In a radio station identification device comprising an identification processing unit for identifying a radio station, a reception frequency detection unit that detects a reception frequency of the radio signal when the reception unit receives the radio station and converts the radio signal into a digital signal; A feature vector waveform extraction unit that analyzes the digital signal and extracts a frequency variation waveform generated at the rising edge of the digital signal as a feature vector waveform of the wireless station; and a known feature vector waveform of a known radio A database unit pre-stored as vector information, and existing frequencies that approximate the detected reception frequency at a predetermined ratio. A candidate vector extraction unit that extracts a feature vector waveform as a candidate vector waveform from the database unit, and the identification processing unit compares the candidate vector waveform with the feature vector waveform to calculate a similarity and the similarity The radio station identification processing means for performing the process of identifying the radio station based on the degree is employed.

  A radio station identification method according to the present invention is a radio station identification method for receiving a radio signal from a radio station and identifying the radio station that has transmitted the radio signal based on a feature vector waveform included in the radio signal. , Detecting the reception frequency of the radio signal when received by the receiver, analyzing the digital signal, and extracting a fluctuation waveform of the frequency generated at the rising edge of the digital signal as a feature vector waveform of the radio station As a candidate vector waveform, a known feature vector waveform having a frequency approximating a predetermined ratio preset to the detected reception frequency from a database unit that stores a known feature vector waveform of a known radio as known feature vector information in advance. Extracting, calculating the similarity by comparing the candidate vector waveform and the feature vector waveform, and the similarity It is characterized by identifying the radio station based.

  A job execution management program according to the present invention is a radio station for receiving a radio signal from a radio station and identifying the radio station that has transmitted the radio signal based on a feature vector waveform included in the radio signal. A reception frequency detection function for detecting a reception frequency of the radio signal when the reception unit receives the signal, and a frequency fluctuation waveform generated at the time of rising of the digital signal by analyzing the digital signal A feature vector waveform extracting function for extracting as a feature vector waveform of a radio station, and a predetermined preset frequency at the detected reception frequency from a database unit that stores a known feature vector waveform of a known radio as known feature vector information in advance. Candidate vector extraction that extracts a known feature vector waveform with a frequency approximated by a ratio as a candidate vector waveform And a wireless station identification processing function for comparing the candidate vector waveform and the feature vector waveform to calculate the similarity and identifying the wireless station based on the similarity. It is characterized by.

  Since the present invention is configured and functions as described above, according to this, the means for extracting the fluctuation waveform of the frequency generated at the rising edge of the received signal as the feature vector waveform of the radio station, and reception of the received radio signal Means for extracting, as a candidate vector waveform, a known feature vector waveform having a frequency that approximates the frequency at a certain ratio, and comparing the candidate vector waveform with the feature vector waveform to calculate a similarity to identify a radio station With this configuration, it is possible to provide a radio station identification device, a radio station identification method, and a radio station identification program that quickly and reliably identify a source radio station based on a received signal.

It is a schematic block diagram which shows one Embodiment in the radio station identification device by this invention. It is a flowchart which shows the operation | movement process step of the execution order prediction means in the radio station identification apparatus disclosed in FIG. It is explanatory drawing which shows an example of the feature vector waveform in the radio station identification apparatus disclosed in FIG. It is explanatory drawing which shows an example of the frequency change of the feature vector waveform in the related technology of the radio station identification apparatus disclosed in FIG. It is explanatory drawing which shows an example of the secular change of the feature vector waveform in the related technology of the radio station identification apparatus disclosed in FIG.

[Embodiment]
Next, the basic configuration content of the embodiment of the present invention will be described.

Next, the configuration of the embodiment of the present invention will be described in detail with reference to the drawings.
Referring to FIG. 1, a radio station identification device 1 according to this embodiment includes a receiver 3 (reception frequency detection unit) that converts a signal (reception signal) received via an antenna 2 (reception unit) into an intermediate frequency signal. An A / D converter 4 (reception frequency detector) that converts the intermediate frequency signal sent from the receiver 3 into a digital complex envelope signal, and a digital complex envelope signal sent from the A / D converter 4 A feature vector waveform extraction unit 5 is provided for detecting the rise of the contained signal and extracting the feature vector waveform.
In addition, when receiving the feature vector waveform, the radio station identification device 1 receives a reception frequency indicating a frequency at the time of reception of the signal received by the antenna 2 from the receiver 3 and receives a signal from the time measurement unit 9 at the time of signal reception. It has a feature data generation unit 6 that receives measurement time (year / month / day / hour / minute / second) and generates feature data by combining these information.

  Further, the radio station identification device 1 is connected to the feature data generation unit 6 and performs radio station identification processing 7 (identification processing unit) that performs radio station identification processing by referring to teacher data based on the generated feature data. And a database unit 8 for providing teacher data to the radio station identification processing unit 7 and a time measurement for monitoring the signal reception at the receiver 3 and notifying the reception time of the received signal to the feature data generation unit 6 And a teacher data generation unit 10 for storing the teacher data generated based on the feature data in the database 8.

This will be described in detail below.
The antenna 2 has a signal reception function for acquiring a signal (reception signal) having a preset specific frequency transmitted from the radio station.
The receiver 3 detects a reception frequency of the reception signal acquired by the antenna 2 and converts the received signal into an intermediate frequency signal indicating the reception frequency of the reception signal, and an intermediate frequency generated by the conversion An intermediate frequency signal transmission function for transmitting a signal (reception frequency) to the A / D converter 4 and the feature data generation unit 6 is provided.

The A / D converter 4 converts the intermediate frequency signal sent from the receiver 3 into a digital complex envelope signal that is a digital signal, and transmits the digital complex envelope signal to the feature vector waveform extraction unit 5. Has a transmission function.
The feature vector waveform extraction unit 5 (feature vector waveform extraction unit) analyzes the digital complex envelope signal fed into the A / D converter 4 and changes from the OFF state to the ON state when the digital complex envelope signal rises. A fluctuation waveform (feature vector waveform) of the frequency of the signal at the switching timing is extracted, and this feature vector waveform is transmitted to the feature data generation unit 6 (feature vector waveform extraction function).

When the feature data generation unit 6 receives the feature vector waveform, the feature data generation unit 6 receives the reception frequency of the feature vector waveform indicated by the intermediate frequency signal sent from the receiver 3 and the measurement time (year) sent from the time measurement unit 9. Generates feature data that combines the month, date, hour, minute, and second).
Here, the feature data represents signal data including a reception frequency, a measurement time, and a feature vector waveform.
Thereby, the feature data includes the reception frequency and the reception time when the reception signal including the feature vector waveform is received by the receiver 3 (antenna 2).
Therefore, when receiving the feature data, the radio station identification processing unit 7 can limit identification targets (ranges) in the data stored in the database unit 8 using the reception frequency and the measurement time as keys. .
In addition, this makes it possible to improve the identification accuracy of the radio station and further speed up the identification process.

  Further, the feature data generation unit 6 has a feature data transmission function for transmitting the generated feature data to each of the radio station identification processing unit 7 and the teacher data generation unit 10.

When receiving the feature data from the feature data generation unit 6, the radio station identification processing unit 7 (candidate vector extraction unit) transmits the reception frequency and the measurement time included in the feature data to the database unit 8. To receive the target teacher data (candidate vector waveform).
Then, the wireless station is identified from the waveform similarity between the feature data and the target teacher data, and the identification result is output.

The database unit 8 receives the teacher data received from the teacher data generation unit 10 (FIG. 3: teacher data = effective frequency range + effective time range + reception frequency history (latest N cases) + teacher vector waveform + feature vector waveform history (latest N A teacher data storage function for storing
The database unit 8 receives the reception frequency and measurement time of the feature data from the radio station identification processing unit 7, and conforms to the effective frequency range and the effective time range among the teacher data stored in the database unit 8. A teacher data determination function for determining whether or not
Furthermore, the database unit 8 has a target teacher data transmission function for transmitting only teacher data (hereinafter referred to as target teacher data) suitable for the effective frequency range and the effective time range to the radio station identification processing unit 7.

  The teacher data generation unit 10 includes feature data storage means 61 that receives and stores feature data from the feature data generation unit 6 and receives a registration instruction from the outside (for example, a measurer who is an operator of the radio station identification device). In addition, when the identification result is received from the teacher data processing and generating means 62 for generating the teacher data (FIG. 3) by processing the pre-stored feature data and the wireless station identification processing unit 7, this identification result indicates Teacher data update means 63 for acquiring teacher data from the database unit 8 and updating the teacher data, and teacher data storage registration means 64 for storing the generated or updated teacher data in the database unit 8 are provided.

  Next, a function (teacher data generation function) in which the teacher data generation unit 10 (teacher data processing generation means 62) generates teacher data based on the contents of feature data stored (accumulated) in advance will be described.

  The teacher data processing and generating means 62 of the teacher data generating unit 10 generates a teacher vector waveform by performing a process (waveform averaging process) for averaging feature vector waveforms of accumulated feature data. By averaging the feature vector waveforms, the S / N ratio in the teacher data can be improved.

  Further, the teacher data processing generation unit 62 generates the feature vector waveforms (1 to N) for the latest N items (N is the number of items acquired in advance) among the feature vector waveforms notified from the feature data generation unit 6. Waveform history storage function for storing (storing) as vector waveform history (information) and the latest N received frequencies (N is the number acquired in advance) included in the feature data notified from the feature data generating unit 6 Is stored as a received frequency history (information) (refer to FIG. 3).

Further, the teacher data processing and generation means 62 obtains a normal distribution of the reception frequency based on the reception frequency (reception frequency history) of the feature vector waveform history information, and excludes a frequency range in which the distribution probability is smaller than a certain value. The frequency range is set as an effective frequency range (FIG. 3) (effective frequency range setting function).
In addition, the teacher data processing and generation means 62 has a past and future fixed period (for example, 6 months before the latest measurement time and 6 months after the latest measurement time) around the latest measurement time among the measurement times of the stored feature data. ) Is set as the effective time range (FIG. 3) (effective time range setting function).

  Next, a function in which the teacher data update unit 63 of the teacher data generation unit 10 updates the teacher data stored in the database unit 8 based on the identification result of the radio station by the radio station identification processing unit 7 (teacher data update function) Will be described.

First, the teacher data updating unit 63 adds the feature vector waveform and the reception frequency of the measured feature data to the feature vector waveform history and the reception frequency history set in correspondence with the teacher data.
Next, the teacher data updating unit 63 newly calculates the average of the feature vector waveforms, updates the teacher vector waveform (information), newly calculates the normal distribution of the reception frequency, and updates the effective frequency range. (Effective frequency range update setting).
In addition, when the measurement time of the feature data is the latest, the teacher data update unit 63 updates and sets the effective time range with the past fixed period centered on the measurement time and the fixed period after the measurement time as a new time range. To do.

  Thereby, the effective frequency range and effective time range of the feature vector can be automatically set as teacher data. For this reason, it is not necessary to measure the feature vector waveform at many reception frequencies, and it is possible to reduce the load on the measurer related to the teacher data registration work.

  In addition, by setting an effective time range in the teacher data, it is possible to easily classify the teacher data whose expiration date has passed by a general operation process in the database unit 8, and for this reason, the data registered in the database unit The maintainability can be greatly improved.

  In the update setting of the effective frequency range, instead of the normal distribution, it may be automatically set as a value obtained by expanding a certain frequency width from the minimum value and the maximum value among the reception frequencies of the reception frequency history. Further, both the effective frequency range and the effective time range may be set by, for example, the operator directly inputting desired values.

  Furthermore, teacher data whose valid time range has expired can be easily deleted or moved to another directory by using a general function in the database unit 8. A teacher data group in which the valid time range is valid can be kept at all times.

  As related techniques of the feature vector waveform extraction technique, a technique using FFT processing (Japanese Patent Laid-Open No. 09-211039), a technique using FM detection processing (for example, Japanese Patent Laid-Open No. 2006-211250), and the like are disclosed. Yes.

Further, as a related technique for calculating the waveform similarity, a technique using the Euclidean distance and the correlation coefficient is widely known.
In the present embodiment, by using these methods, it is possible to set to add a radio station name and a comment to the teacher data when the teacher data is created. As a result, after the teacher data is created and updated, the measurer can check the background of the generation of the teacher data.

[Description of Operation of Embodiment]
Next, an outline of the operation of this embodiment will be described.
First, the receiver 3 receives a radio signal from a radio station, and the A / D converter 4 detects the reception frequency of the radio signal when the receiver 3 receives (reception frequency detection step), and a feature vector The waveform extraction unit 5 analyzes the digital signal and extracts the frequency variation generated at the rising edge of the digital signal as a feature vector waveform of the radio station (feature vector waveform extraction step), and the radio station identification processing unit 7 is known. A known feature vector waveform having a frequency approximating at a certain rate to the reception frequency detected from the database unit 8 that stores the known feature vector waveform of the wireless device in advance as known feature vector information is extracted as a candidate vector waveform (candidate vector Extraction step), comparing the candidate vector waveform with the feature vector waveform to calculate the similarity, and identifying the radio station based on the similarity (wireless Identification process).

As another operation example of the present embodiment, the receiver 3 receives a radio signal from a radio station, and the A / D converter 4 detects the reception frequency of the radio signal when the receiver 3 receives the signal. (Reception frequency detection step), the time measurement unit 9 measures the reception time of the radio signal when the receiver 3 receives the signal, and the feature vector waveform extraction unit 5 analyzes the digital signal to analyze the digital signal. The frequency fluctuation generated at the time of rising is extracted as a feature vector waveform of the radio station (feature vector waveform extraction step), and the radio station identification processing unit 7 stores in advance the known feature vector waveform of a known radio as known feature vector information. Then, a known feature vector waveform having a frequency approximating the received frequency detected from the database unit 8 at a certain rate is extracted (candidate vector extracting step).
Next, the radio station identification processing unit 7 extracts the known feature vector waveform including the reception time within a certain period before and after the measurement time from the extracted known feature vector waveform as a candidate vector waveform (reception time candidate extraction step). ), The candidate vector waveform and the feature vector waveform may be compared to calculate the similarity, and the wireless station may be identified based on the similarity (radio station identification processing step).

  Here, the reception frequency detection step, the feature vector waveform extraction step, the candidate vector extraction step, the reception time candidate extraction step, and the radio station identification processing step are configured to be programmed and executed by a computer. May be.

  Next, the operation of the wireless station identification device 1 will be described based on the flowchart of FIG.

First, the feature vector waveform extraction unit 5 detects a signal rise as a frequency fluctuation waveform from the digital complex envelope signal converted and generated by the A / D converter 4 (step S101).
Here, when the frequency variation waveform is detected, the feature vector waveform extraction unit 5 extracts the frequency variation waveform as a feature vector waveform and transmits it to the feature data generation unit 6 (step S102: feature vector waveform extraction function).

  The feature data generation unit 6 receives a reception frequency (intermediate frequency) from the receiver 3 and also receives a measurement time from the time measurement unit 9. Here, the feature data generation unit 6 adds these (reception frequency and measurement time) to the feature vector waveform to generate feature data, and also sends this feature data to the radio station identification processing unit 7 and the teacher data generation unit 10. (Step S103: feature data generation / transmission function).

Here, when the feature data is notified from the feature data generation unit 6, the teacher data generation unit 10 determines whether or not to register the feature data in the database unit 8 (step S104).
In the present embodiment, it is assumed that the operator of the wireless station identification device 1 instructs the teacher data generation unit 10 to register teacher data in accordance with the notified feature data.
When registering the teacher data, the teacher data generation unit 10 updates the teacher data by processing the feature data held in advance, and transmits the updated teacher data to the database unit 8 (step S105). ).

On the other hand, the radio station identification processing unit 7 transmits the reception frequency and measurement time included in the feature data sent from the feature data generation unit 6 to the database unit 8. Here, the database unit 8 selects a preset effective reception frequency range and target teacher data included in the effective measurement time range from the teacher data based on the reception frequency and measurement time, and performs radio station identification processing. The unit 7 receives this (Step S106: Selects target teacher data).
Here, the radio station identification processing unit 7 identifies the radio station by comparing and collating the similarity between the target teacher data and the feature vector waveform, and outputs the identification result (step S107: radio station identification). . At this time, the radio station identification processing unit 7 notifies the teacher data generation unit 10 of the identification result.

  The target teacher data includes the effective frequency range and effective time set in advance in the reception frequency and measurement time transmitted to the database unit 8 in step S3 among the teacher data stored in the database unit 8, respectively. Teacher data that fits the range shall be indicated.

Next, the teacher data generation unit 10 determines whether or not to update the teacher data in the database unit 8 based on the identification result information (information on the radio station) notified from the radio station identification processing unit 7 ( Step S108).
In the present embodiment, it is assumed that the operator of the wireless station identification device 1 instructs the teacher data generation unit 10 to update or register teacher data according to the generated identification result.

When the teacher data stored in the database unit 8 is updated based on the identification result of the wireless station (YES: step S108), the teacher data generation unit 10 generates a signal (waveform) that is the identification result based on the identification result of the feature data. ) Is updated from the database unit 8 so as to be averaged with the feature data (step S2) sent from the feature data generation unit 6, and updated. The teacher data thus transmitted is transmitted to the database unit 8 and stored (step S109).
Next, the radio station identification processing unit 7 determines whether the measurement is completed based on the presence or absence of feature data sent from the feature data generation unit 6 (step S110).

  As described above, in the present embodiment, by limiting the radio stations to be identified to only the target teacher data among the pre-registered teacher data, radio stations with greatly different transmission frequencies and feature vector waveforms change over time. It is possible to suppress erroneous determination of a radio station that has been determined as a correct radio station, thereby effectively improving the accuracy rate of radio station identification.

  In addition, by setting the identification target to be limited to only the target teacher data, the processing time for collating the similarity is shortened, and further, the load on the collating process can be reduced. An inexpensive computer can be used, thereby realizing an inexpensive radio station identification device.

  The present invention can be effectively applied to a radio wave monitoring apparatus or the like for automatically monitoring radio waves transmitted from unauthorized wireless stations or the like.

DESCRIPTION OF SYMBOLS 1 Radio station identification apparatus 2 Antenna 3 Receiver 4 A / D converter 5 Feature vector waveform extraction part 6 Feature data generation part 7 Radio station identification processing part 8 Database part 9 Time measurement part 10 Teacher data generation part

Claims (10)

In a radio station identification apparatus comprising: a reception unit that receives a radio signal from a radio station; and an identification processing unit that identifies the radio station that has transmitted the radio signal based on a feature vector waveform included in the radio signal.
A reception frequency detection unit that detects a reception frequency of the radio signal when the reception unit receives the radio signal;
A feature vector waveform extracting section for extracting a different variation waveform for each frequency definitive at the rise of the radio signal the radio signal by analyzing the characteristic vector waveform of the radio station,
A database unit that previously stores a known feature vector waveform of a known radio as known feature vector information;
A candidate vector extracting means for extracting a known feature vector waveform corresponding to a frequency in a certain range of the detected reception frequency as a candidate vector waveform from the database unit;
The identification processing unit includes radio station identification processing means for calculating a similarity by comparing the candidate vector waveform and the feature vector waveform, and performing a process of identifying the radio station based on the similarity. A wireless station identification device. In the radio station identification device according to claim 1,
A measurement time holding unit that holds the reception time of the wireless signal when the reception unit receives the measurement time,
A radio station identification apparatus comprising: a reception time candidate extraction unit that extracts the known feature vector waveform including a reception time within a certain period before and after the measurement time as the candidate vector waveform from the database unit. In the radio station identification device according to claim 1,
A radio having a known registration information updating unit that associates a reception frequency of the radio station with a feature vector waveform and stores the same as the known feature vector information in the database unit when the radio station is identified. Station identification device. In the radio station identification device according to claim 2,
When the wireless station is identified, a known registration information update unit is provided that associates the reception time of the wireless signal from the wireless station with the feature vector waveform and stores it in the database unit as the known feature vector information. A radio station identification device. In the radio station identification device according to claim 2,
A known registration information updating unit that stores a reception frequency, a reception time, and a feature vector waveform of a radio signal from the radio station in the database unit in association with the feature vector waveform when the radio station is identified; A radio station identification device comprising: In the radio station identification device according to claim 4 or 5,
A received signal frequency storage unit for storing a predetermined number of radio signal frequencies sent from a wireless station;
An averaged waveform registration unit that averages the feature vector waveforms of the stored received signals to generate a feature vector averaged waveform and stores the feature vector averaged waveform as the feature vector information in the database unit; A radio station identification device characterized by the above. In a radio station identification method for receiving a radio signal from a radio station and identifying the radio station that has transmitted the radio signal based on a feature vector waveform included in the radio signal,
Detect the reception frequency of the radio signal when the reception unit receives,
The analyzes the radio signal to extract different variation waveform for each frequency definitive at the rise of the radio signal as a feature vector waveform of the radio station,
Extracting a known feature vector waveform corresponding to a frequency in a certain range of the detected reception frequency as a candidate vector waveform from a database unit that stores a known feature vector waveform of a known radio as known feature vector information in advance,
A radio station identification method characterized by calculating a similarity by comparing the candidate vector waveform and the feature vector waveform and identifying the radio station based on the similarity. In a radio station identification method for receiving a radio signal from a radio station and identifying the radio station that has transmitted the radio signal based on a feature vector waveform included in the radio signal,
Detect the reception frequency of the radio signal when the reception unit receives,
Measure the reception time of the radio signal when received by the receiver,
The analyzes the radio signal to extract different variation waveform for each frequency definitive at the rise of the radio signal as a feature vector waveform of the radio station,
Extracting a known feature vector waveform corresponding to a frequency in a certain range of the detected reception frequency from a database unit that stores a known feature vector waveform of a known radio as known feature vector information in advance,
Extracting the known feature vector waveform including a reception time within a certain period before and after the measurement time from the extracted known feature vector waveform as a candidate vector waveform;
A radio station identification method characterized by calculating a similarity by comparing the candidate vector waveform and the feature vector waveform and identifying the radio station based on the similarity. A radio station identification program for receiving a radio signal from a radio station and identifying the radio station that has transmitted the radio signal based on a feature vector waveform included in the radio signal,
A reception frequency detection function for detecting a reception frequency of the radio signal when the reception unit receives the radio signal;
A feature vector waveform extracting function of extracting a different variation waveform for each frequency definitive at the rise of the radio signal the radio signal by analyzing the characteristic vector waveform of the radio station,
Candidate vector extraction function that extracts a known feature vector waveform corresponding to a frequency in a certain range of the detected reception frequency as a candidate vector waveform from a database unit that stores a known feature vector waveform of a known radio as known feature vector information in advance. When,
Comparing the candidate vector waveform and the feature vector waveform to calculate a similarity, and causing a preset computer to execute a wireless station identification processing function for identifying the wireless station based on the similarity Radio station identification program. A radio station identification program for receiving a radio signal from a radio station and identifying the radio station that has transmitted the radio signal based on a feature vector waveform included in the radio signal,
A reception frequency detection function for detecting a reception frequency of the radio signal when the reception unit receives the radio signal;
A reception time measurement function for measuring the reception time of the wireless signal when the reception unit receives the data;
A feature vector waveform extracting function of extracting a different variation waveform for each frequency definitive at the rise of the radio signal the radio signal by analyzing the characteristic vector waveform of the radio station,
A candidate vector extraction function for extracting a known feature vector waveform corresponding to a frequency in a certain range of the detected reception frequency from a database unit that stores a known feature vector waveform of a known radio as known feature vector information in advance;
A reception time candidate extraction function for extracting, as a candidate vector waveform, the known feature vector waveform including a reception time within a certain period before and after the measurement time from the extracted known feature vector waveform;
Comparing the candidate vector waveform and the feature vector waveform to calculate a similarity, and causing a preset computer to execute a wireless station identification processing function for identifying the wireless station based on the similarity Radio station identification program.

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