KR101332181B1 - Smart device, peripheral device thereof, and method for recognizing peripheral device - Google Patents

Abstract

The present application provides a peripheral device connectable to the smart device through the earphone port of the smart device, the earphone plug connected to the earphone port of the smart device; And when the earphone plug is connected to the earphone port, provides a peripheral device including an authentication signal providing unit for transmitting an authentication signal which is a unique identification code given to the peripheral device to the smart device. Here, the authentication signal is formed in a form in which two or more serial unit signals having different frequencies are arranged on a time axis, and include a frequency pattern in which two or more frequencies are combined.

Description

SMART DEVICE, PERIPHERAL DEVICE THEREOF, AND METHOD FOR RECOGNIZING PERIPHERAL DEVICE}

The present invention relates to a smart device that is a portable terminal device that can be expanded by a variety of applications and peripherals, in particular, a peripheral device that can be connected to the smart device through the earphone port of the smart device, can recognize the peripheral device connected through the earphone port The present invention relates to a smart device, and a method for recognizing various peripheral devices connected through the earphone port of the smart device.

A smart device (also called a "smart device") is not limited in functionality and can be significant through an application (commonly referred to as an "application" or, in short, an "app"). Refers to a portable terminal device capable of changing or extending partial functions. Examples of such smart devices are also called smart phones, smart televisions, smart keys, smart cards and tablet computers, or smart pads. Etc. can be mentioned.

For example, a smart phone is a combination of a mobile phone (cellular phone) and a personal digital assistant (PDA). The mobile phone functions include schedule management, fax transmission and reception, and Internet communication. It is designed to perform data communication function. In particular, unlike conventional mobile phones, which are released and used as finished products, smart phones can be expanded in various ways by additional installation, execution, and deletion of various applications in addition to wireless telephone functions.

As such, the smart device may change and expand various functions through installation and execution of various applications. In addition, the smart device can further extend the function of the smart device by performing data transmission and reception with various peripheral devices and processing the received data.

Here, the peripheral device includes an audio device such as a speaker for listening to music or a movie, earphones and headphones, a microphone for voice recording, an earset for hands-free calls, and the like. In addition, the device may further include an input device such as a joystick for a user input interface, a mouse and a keyboard, an image device such as a camera for photographing, and a display device for playing an image.

In particular, the peripheral device is not limited to conventionally known sound devices, video devices, and display devices, and any device may be applied as long as the peripheral device can be connected to the smart device to variously expand the functions of the smart device. In exemplary embodiments, the peripheral device of the smart device may further include a sensor device that transmits measurement information about an external environment or measurement information about an inspection target.

However, in order to transmit and receive data by connecting to various peripheral devices, a smart device must have a communication interface port corresponding to each peripheral device, and there is a problem of using a communication protocol corresponding to each communication interface port. In addition to this, the peripheral device has a problem that must be provided with a separate power supply.

Accordingly, there is a need for a method that can more easily perform data processing between the smart device and various peripheral devices and power supply to the peripheral devices.

In this regard, Korean Patent Registration No. 10-0819270 (name of the invention: the ear microphone device for supplying power to the portable terminal and its portable terminal, the date of publication: 2008.04.02.) Is a conventional first connected to the earset device Reference is made to a portable terminal comprising a plug and a second plug for supplying power to the earset device.

However, existing smart devices, including the portable terminal disclosed in Korean Patent No. 10-0819270, can only detect whether a plug of a peripheral device is connected to the input / output port through whether the voltage level of the input / output port changes or not. There is a problem that does not recognize the peripheral device connected through the terminal.

As such, since the existing smart device cannot recognize the peripheral device connected to the input / output port thereof, the convenience of the user may be improved since the application corresponding to the peripheral device connected to the input / output port cannot be extended to the function of providing or automatically executing the application. There is a problem with the limitation.

In this regard, Korean Patent Laid-Open Publication No. 10-2005-0005315 (Invention name: identification method of the device plugged into the earphone jack, publication date: January 13, 2005) is the ADC value of the device plugged into the earphone jack and It mentions how to recognize the type of device based on the presence or absence of data flow. In addition, Korean Patent Publication No. 10-2009-0041000 (name of the invention: a method and device for detecting an ear jack of a mobile terminal, publication date: April 28, 2009) is based on the internal structure of the ear jack of the connected external device and the mobile terminal. It refers to identifying the type and number of terminals connected to external equipment from the magnitude of the voltage measured differently.

However, according to the method disclosed in Korean Patent Laid-Open No. 10-2005-0005315, since the types of device ADC values are limited, there is a problem in that the number and types of devices identifiable from the ADC values are limited. Similarly, according to the method disclosed in Korean Patent Laid-Open Publication No. 10-2009-0041000, since the types of voltage magnitudes are limited, the number and types of external devices detectable from the voltage magnitudes are limited.

In other words, the existing smart device recognizes the peripheral device connected to the smart device through the authentication information unique to the peripheral device using the ADC value or the voltage of the peripheral device as a variable, in this case, the variable range for generating the authentication information of the peripheral device Since it is difficult to expand, there is a difficulty in applying to the increasing peripherals.

Korea Patent Registration No. 10-0819270 (Notice: 2008.04.02.) Korean Patent Publication No. 10-2005-0005315 (Published: 2005.01.13.) Korean Patent Publication No. 10-2009-0041000 (Published: 2009.04.28.)

One embodiment of the present application provides a peripheral device that can be connected to the smart device through the earphone port of the smart device, and can be recognized by the smart device by sending an authentication signal having a variable range that can be easily expanded. The present invention further provides a smart device capable of recognizing a peripheral device connected through the earphone port based on a unique authentication signal of the peripheral device, and a method of recognizing a peripheral device connected through the earphone port based on a unique signal of the peripheral device. .

In order to achieve the above object, an embodiment of the present invention, the peripheral device connectable to the smart device through the earphone port of the smart device, the earphone plug is connected to the earphone port of the smart device; And when the earphone plug is connected to the earphone port, provides a peripheral device including an authentication signal providing unit for transmitting an authentication signal which is a unique identification code given to the peripheral device to the smart device.

According to an embodiment of the present invention, a smart device recognizes a peripheral device connected through an earphone port, the method comprising: receiving an authentication signal from a peripheral device connected to the earphone port; Identifying the received authentication signal; And recognizing a peripheral device connected to the earphone port based on the identified connection signal.

In addition, an embodiment of the present invention provides a smart device that can be connected to various peripherals, the earphone port is connected to the earphone plug of the peripheral device; And an authentication signal analyzer configured to receive an authentication signal, which is a unique identifier assigned to the peripheral device, from the peripheral device connected through the earphone port, and recognize the peripheral device connected through the earphone port based on the received authentication signal. Provides more smart devices.

Here, the authentication signal may be formed in a form in which two or more serial unit signals having different frequencies are arranged on a time axis, and may include a frequency pattern in which two or more frequencies are combined. Alternatively, the authentication signal may be formed in a form in which two or more serial unit signals having different frequencies and different transmission times are arranged on a time axis, and may include a frequency pattern in which two or more frequencies and transmission times of respective frequencies are combined. .

The serial unit signal has a frequency in any one of the frequency range of 17000 kHz to 21000 kHz.

According to an exemplary embodiment of the present disclosure, when the peripheral device is connected to the smart device, the peripheral device may be recognized by the smart device by transmitting an authentication signal including a frequency pattern which is a unique identifier of the peripheral device. Accordingly, the smart device can provide or automatically execute at least one signal processing application matching the recognized peripheral device by recognizing the peripheral device connected thereto, thereby further improving convenience.

The frequency pattern of the authentication signal is a pattern in which two or more different frequencies are arranged on the time axis, and may be used as an identifier having two or more different frequencies as variables. In this case, the frequency pattern may have a variable range that can be easily extended by changing the number of frequencies constituting the frequency pattern or the order in which frequencies are arranged. The authentication signal including the frequency pattern can be more easily applied to peripheral devices that are increasing day by day.

1 is a block diagram illustrating a smart device and a peripheral device according to an exemplary embodiment of the present application.
2 is a block diagram illustrating an input / output port and an input / output plug of FIG. 1.
3A to 3D show serial unit signals having frequencies of 16000 Hz, 17000 Hz, 18000 Hz and 20000 Hz.
4 is a flowchart illustrating a method of recognizing a peripheral device by a smart device according to an exemplary embodiment of the present disclosure.
FIG. 5 is a flowchart illustrating a step of identifying the authentication signal of FIG. 4.
6 shows an authentication signal according to the first embodiment of the present application.
7 is a flowchart illustrating a step of calculating the frequency pattern and the frequency pattern period of FIG. 5 according to the first embodiment of the present application.
FIG. 8 illustrates an example of an authentication signal for describing FIG. 7.
9 shows an authentication signal according to a second embodiment of the present application.
FIG. 10 is a flowchart illustrating a step of calculating the frequency pattern and the frequency pattern period of FIG. 5 according to the second embodiment of the present disclosure.
FIG. 11 illustrates an example of an authentication signal for describing FIG. 10.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise.

First, the smart device according to an embodiment of the present application is free to additionally install, execute, and delete an application program (referred to as "Application or App." "Signal Processing Application") in addition to the preset basic functions. It is possible to change and expand the function of the portable terminal. In addition, the smart device may include at least one input / output port for connecting with various external devices and additionally install or execute a signal processing application corresponding to the peripheral device connectable through the input / output port.

In addition, if the peripheral device of the smart device according to an embodiment of the present application includes an input and output plug that can be connected to the input and output port of the smart device, any one may be applied. By way of example, peripherals may include speakers such as speakers for listening to music or movies, earphones and headphones, microphones for voice recording, earsets for hands-free calls, joysticks for user input interfaces, mice and keyboards, and the like. An input device, an imaging device such as a camera for photographing, and a display device for playing back an image. However, these peripheral devices are only examples, and in addition to the above examples, the peripheral devices may include any device that transmits and receives predetermined data with the smart device in order to expand the function of the smart device.

Hereinafter, a smart device and a peripheral device according to an embodiment of the present disclosure will be described in detail with reference to FIGS. 1, 2, and 3A to 3D.

1 is a block diagram illustrating a smart device and a peripheral device according to an exemplary embodiment of the present application, and FIG. 2 is a block diagram illustrating the input / output port and the input / output plug of FIG. 1. 3A to 3D show serial unit signals having frequencies of 16000 Hz, 17000 Hz, 18000 Hz, and 20000 Hz.

As shown in FIG. 1, the smart device 10 includes an input / output port 11, an authentication signal analyzer 12, an authentication signal manager 13, a signal processing controller 14, an application manager 15, and a power supply. Study 16, data analysis unit 17, and display unit 18 are included.

The input / output port 11 is connected to the input / output plug 21 of the peripheral device to connect the smart device 10 and the peripheral device 20. The input / output port 11 is for supplying power to the peripheral device 20 and data transmission and reception between the smart device 10 and the peripheral device 20.

For example, the input / output port 11 may be an earphone port connectable to an audio device such as a speaker, earphone, microphone, and ear set. The earphone port is generally a socket of a cylindrical connector.

As shown in FIG. 2, the earphone port 11 'includes a ground terminal 11a, a microphone terminal 11b, and first and second speaker terminals 11c and 11d.

As an example, a microphone terminal 11b is connected to a microphone (not shown) of an earset to input collected audio signals. Receive. The first and second speaker terminals 11c and 11d are connected to both earphones (not shown) of the ear set, respectively, and output audio signals. In this case, the ear set (not shown) may receive power from the smart device 10 through at least one of the microphone terminal 11b and the first and second speaker terminals 11c and 11d. In addition, the earset transmits an authentication signal to the smart device 10 through at least one of the microphone terminal 11b and the first and second speaker terminals 11c and 11d.

In addition, when the input / output plug (not shown) of the earset includes the ground terminal, the ground terminal of each of the earphone port 11 ′ of the smart device and the input / output plug (not shown) of the earset is connected to each other, and the earset is connected to the ground voltage. Can be supplied.

In addition, at least one of the microphone terminal 11b and the first and second speaker terminals 11c and 11d may be used to supply power to a plurality of peripheral devices including the earset. That is, only one of the microphone terminal 11b and the first and second speaker terminals 11c and 11d may be used for power supply. Alternatively, both the microphone terminal 11b and the first and second speaker terminals 11c and 11d may be used for power supply. In addition, the ground terminal 11a may be connected to the ground terminal of the earphone plug and used to supply the ground voltage.

The earphone port 11 ′ may be connected to any peripheral device 20 including the earphone plug 21 ′, in addition to an acoustic device such as an ear set. At this time, the ground terminal 11a is connected to the ground terminal 21a of the earphone plug 21 'of the peripheral device to supply the ground voltage to the peripheral device 20. The microphone terminal 11b is connected to the output terminal 21b of the earphone plug 21 'of the peripheral device, and receives the data signal transmitted from the peripheral device 20. At least one of the first and second speaker terminals 11c and 11d is connected to an input terminal 21c of the earphone plug 21 'of the peripheral device to transmit a data signal to the peripheral device 20.

When the input / output plug 21 of the peripheral device is connected to the input / output port 11, the authentication signal analyzer 12 illustrated in FIG. 1 is provided to the peripheral device 20 from the peripheral device 20 connected through the input / output port 11. Receive an authentication signal which is a unique identifier. Based on the received authentication signal, the peripheral device 20 connected through the input / output port 11 is recognized. Here, the description of the authentication signal of the peripheral device 20 will be described in detail later.

The authentication signal manager 13 holds authentication signals of various peripheral devices that can be connected to the smart device 10. Accordingly, the authentication signal analysis unit 12 calculates a frequency pattern of the received authentication signal, identifies the authentication signal based on the frequency pattern, and matches the identified authentication signal using the authentication signal analysis unit 12. Derived peripherals.

When the authentication signal analyzer 12 recognizes the peripheral device 20 connected to the input / output port 11, the signal processing controller 14 executes at least one signal processing application corresponding to the recognized peripheral device 20.

Here, the signal processing application includes an algorithm for supplying power to the peripheral device, transmitting and receiving data with the peripheral device, performing signal analysis processing on a signal received from the peripheral device in a predetermined manner, and outputting the result.

The application manager 15 has one or more signal processing applications that are matched to various peripheral devices connectable to the smart device 10. Accordingly, the signal processing controller 14 searches for at least one application corresponding to the detected peripheral device among various signal processing applications held in the application manager 15, and searches the found at least one signal processing application for the application manager 15. Received from

The power supply unit 16 includes at least one of the microphone terminal 11b, the first and second speaker terminals 11c and 11d of the input / output port 11 based on the signal processing application executed by the signal processing control unit 14. Continuously or periodically outputs a high level signal to one, to supply power to the peripheral device 20 connected to the input and output port (11). If the power supply unit 16 periodically outputs a high level signal to the input / output port 11, the peripheral device 20 may include a rectifying circuit for using the periodic high level signal as a power source.

The data analysis unit 17 performs a predetermined signal analysis process on the data signal of the peripheral device received through the input / output port 11 based on the signal processing application executed by the signal processing control unit 14, and as a result Is displayed on the display unit 18.

The display unit 18 presents at least one signal processing application that matches the peripheral device 20 recognized by the authentication signal analysis unit 12, and displays the signal from the peripheral device according to the signal processing application executed by the signal processing control unit 14. The data received and analyzed by the data analyzer 17 is displayed.

The peripheral device 20 includes an input / output plug 21, an authentication signal providing unit 22, a data generating unit 23, and a power supply unit 24.

The input / output plug 21 is connected to the input / output port 11 of the smart device to connect the smart device 10 and the peripheral device 20. For example, the input / output plug 21 may be an earphone plug connectable to the earphone port 11 ′.

As illustrated in FIG. 2, the earphone plug 21 ′ is connected to at least one of the microphone terminal 11b and the first and second speaker terminals 11c and 11d to receive power or input a control signal. 21a, an output terminal 21b connected to the microphone terminal 11b and outputting a data signal. The earphone plug 21 ′ may further include a ground terminal 21c connected to the ground terminal 11a and receiving a ground voltage.

When the input / output plug 21 is connected to the input / output port 11 of the smart device, the authentication signal provider 22 shown in FIG. 1 transmits the authentication signal to the smart device 10.

Here, the authentication signal is a unique identifier given to the peripheral device 20, and is formed in a form in which two or more serial unit signals having different frequencies are arranged on the time axis, thereby including a frequency pattern in which two or more frequencies are combined. Here, the frequency pattern becomes a unique identifier of the peripheral device 20 by setting the order of two or more frequencies included therein as variables.

For example, the first peripheral transmits an authentication signal including a frequency pattern in which the first, second, and third frequencies are listed, and the second peripheral, which is different from the first peripheral, is the frequency in which the second, first, and third frequencies are listed. When transmitting an authentication signal including a pattern, the smart device 10 detects the first to third frequencies from the received authentication signal, calculates the frequency pattern by calculating the order in which the first to third frequencies are listed, As a result, the first or second peripheral device corresponding to the received authentication signal may be recognized.

Particularly, as the authentication signal is transmitted to the smart device 10 through the microphone terminal 11b, the authentication signal should have a frequency region that can be normally sensed by the microphone terminal 11b, that is, a frequency region similar to the audio signal. In addition, when the transmitted authentication signal is detected by the user, it may cause inconvenience to the user. In order to prevent this, the authentication signal should have a frequency region other than the audible region.

In order to satisfy these conditions, each serial unit signal of the authentication signal has a range of 16000 Hz or more exceeding the audible region and 21000 Hz or less within the frequency range of the audio signal detectable by the microphone terminal 11b. It may have a frequency domain. For example, when the authentication signal includes a frequency pattern in which three frequencies are listed, the authentication signal may have a form in which serial unit signals of 16000 Hz, 21000 Hz, and 18000 Hz are listed on the time axis.

As an example of the authentication signal, a serial unit signal of 16000 Hz frequency shown in FIG. 3A, a serial unit signal of 17000 Hz frequency shown in FIG. 3B, a serial unit signal of 18000 Hz frequency shown in FIG. 3C, and FIG. At least two of the 20000 Hz serial unit signals may be arranged on the time axis.

The data generator 23 illustrated in FIG. 1 generates a predetermined data signal based on the control of the smart device 10. The generated data signal is transmitted to the smart device 10.

For example, when the peripheral device 20 is an earset, the data generator 23 may generate an audio signal sensed by the microphone and output the generated audio signal to the output terminal 21b. When the peripheral device 20 is a sensor device, the data generator 23 may generate a measurement signal detected by the sensor and output the generated measurement signal to the output terminal 21b.

The power supply unit 24 supplies a driving voltage to the authentication signal providing unit 22, the data generating unit 23, and the like based on the power supplied from the outside of the peripheral device 10.

In this case, the power supply unit 24 may receive power from the power supply unit 16 of the smart device.

As described above, the peripheral device 20 according to the exemplary embodiment of the present disclosure may be connected to the smart device 10 through the input / output port 11 of the smart device 10. In particular, the peripheral device 20 includes an earphone plug 21 'which can be connected to the earphone port 11' which is one of the input / output ports 11, so that the smart device 10 matches the input / output plugs of the various peripheral devices 20. Since it is not necessary to include a separate input and output port 11, the aesthetics and convenience of each of the smart device 10 and the peripheral device 20 can be improved.

In addition, since the peripheral device 20 may receive power from the smart device 10, it is not necessary to provide a separate power supply source, thereby further improving portability and convenience.

When the peripheral device 20 of the smart device 10 is connected to the smart device 10, the smart device 10 recognizes the smart device 10 by transmitting an authentication signal including a frequency pattern which is a unique identification code of the peripheral device 20. Can be. As such, the smart device 10 may provide or automatically execute at least one signal processing application matching the recognized peripheral device 20 by recognizing the peripheral device 20 connected through the earphone port 11 ′ thereof. Convenience can be further improved.

In addition, the frequency pattern of the authentication signal is a pattern in which two or more different frequencies are arranged on the time axis, and may be used as an identifier using two or more different frequencies listed as variables. That is, the frequency pattern may have a variable range that can be easily extended by increasing the number of frequencies constituting the frequency pattern or changing the order in which the frequencies are arranged. As such, the authentication signal identified based on the frequency pattern having an expandable variable range can be easily applied to the peripheral device 20 that is increasing day by day.

Next, referring to FIGS. 4 and 5, a method of recognizing a peripheral device of a smart device according to an embodiment of the present disclosure will be described.

4 is a flowchart illustrating a method of recognizing a peripheral device by a smart device according to an embodiment of the present disclosure, and FIG. 5 is a flowchart illustrating a step of identifying an authentication signal of FIG. 4.

As shown in FIG. 4, the method of recognizing a peripheral device of a smart device according to an embodiment of the present disclosure includes: receiving an authentication signal from a peripheral device connected to an input / output port of the smart device (S10) and identifying the received authentication signal. (S20), recognizing a peripheral device connected to the input / output port based on the identified authentication signal (S30), and deriving at least one signal processing application corresponding to the recognized peripheral device (S40).

Here, as the authentication signal unique to the peripheral device 20 is transmitted to the smart device 10 through the microphone terminal 11b, the frequency range that the microphone terminal 11b can normally sense, that is, a frequency similar to the audio signal Must have an area. In addition, when the transmitted authentication signal is detected by the user, it may cause inconvenience to the user. In order to prevent this, the authentication signal should have a frequency region other than the audible region.

In order to satisfy these conditions, each serial unit signal of the authentication signal corresponds to 16000 kHz or more exceeding the audible region, and 21000 kHz or less, which is within the frequency range of the audio signal detectable by the microphone terminal 11b. It may have a frequency range of the range. For example, when the authentication signal includes a frequency pattern in which three frequencies are listed, the authentication signal may have a form in which serial unit signals of 16000 Hz, 21000 Hz, and 18000 Hz are listed on the time axis.

As shown in FIG. 5, in the step S20 of identifying the received authentication signal, the frequency of the received authentication signal is regularly measured to calculate the frequency pattern and frequency pattern period included in the authentication signal. In step S21, for each of the calculated frequency pattern periods, it is determined at least once whether the calculated frequency pattern is repeated, and the step of checking the calculated frequency pattern (S22), and the authentication signal including the checked frequency pattern Identifying step S23.

That is, when the earphone plug 21 ′ of the peripheral device illustrated in FIG. 1 is connected to the earphone port 11 ′ of the smart device, the authentication signal providing unit 21 of the peripheral device periodically transmits an authentication signal, The authentication signal analyzer 12 receives an authentication signal transmitted from the peripheral device 20 (S10).

Subsequently, the authentication signal analysis unit 12 calculates a frequency pattern included in the received authentication signal and identifies the authentication signal (S20).

In detail, the authentication signal analyzer 12 regularly calculates a frequency of the received authentication signal and derives regularity of the measured frequency, thereby calculating a frequency pattern period which is a transmission time of the frequency pattern and the frequency pattern ( S21).

At this time, the authentication signal analysis unit 12 may measure the frequency of the authentication signal at intervals of N seconds, where N seconds is a time smaller than the minimum transmission time of any one serial unit signal included in the authentication signal. For example, N seconds may be 25 ms. That is, the authentication signal analysis unit 12 may measure the frequency of the authentication signal 40 times per second.

As such, the authentication signal analysis unit 12 measures the frequency of the authentication signal regularly, repeats the point of time when the frequency of the authentication signal changes, and at this time, the process of detecting the changed frequency, having a structure in which two or more frequencies are listed. A frequency pattern and a frequency pattern period which is a period in which the frequency pattern is repeated are calculated.

The authentication signal analyzing unit 12 may identify the authentication signal using the calculated frequency pattern as it is, or at least whether the calculated frequency pattern is repeated at each calculated frequency pattern period in order to identify the authentication signal more accurately. After discriminating once, the frequency pattern is checked (S22), and then an authentication signal including the checked frequency pattern may be identified (S23).

Subsequently, the authentication signal analyzer 12 recognizes the peripheral device 20 connected through the earphone port 11 'based on the identified authentication signal (S30). For example, the authentication signal analysis unit 12 may search for an authentication signal including a checked frequency pattern among authentication signals of various peripheral devices held in the authentication signal manager 13, and derive a peripheral device matching the searched authentication signal. Can be.

The signal processing controller 14 of the smart device derives at least one signal processing application matching the recognized peripheral device 20 (S40).

On the other hand, the authentication signal according to an embodiment of the present application may include a frequency pattern having two or more different frequencies listed as a variable, or a frequency pattern having two or more different frequencies listed and a transmission time of each frequency as variables. It may also include.

Hereinafter, referring to FIGS. 6 to 8, the step (S21) of calculating the authentication signal and the frequency pattern included therein according to the first embodiment of the present application will be described. At this time, the authentication signal according to the first embodiment of the present application includes a frequency pattern having two or more different frequencies listed as variables.

6 shows an authentication signal according to the first embodiment of the present application. 7 is a flowchart illustrating a step of calculating the frequency pattern and the frequency pattern period of FIG. 5 according to the first embodiment of the present application, and FIG. 8 is an example of an authentication signal for explaining FIG. 7.

As shown in FIG. 6, in the authentication signal (Sid: Signal_peripheral's identification) according to the first embodiment of the present application, i serial unit signals having different frequencies from each other are formed in the form of being arranged on the time axis. (1) to F (i), i includes a frequency pattern in which 2?

In this case, according to the first embodiment of the present application, i serial unit signals having different frequencies may have the same transmission time. However, as long as i serial unit signals have different frequencies, it does not matter which transmission time has any.

As shown in FIG. 7, the process of calculating the frequency pattern and the frequency pattern period of the authentication signal according to the first embodiment of the present application (S21) includes detecting an initial frequency (F (0)) (S110). Detecting a first frequency F (1) different from the initial frequency F (0) at one time point T (1) (S120) and a first frequency after the first time point T (1). Up to the nth time point T (n) for detecting F (1), the i-1th frequency F (i-1) at the i th time point T (i), 2≤i <n Detecting a different i th frequency F (i) (S130), calculating a frequency pattern based on the first to i th frequencies F (1) to F (i) (S140), and Computing a frequency pattern period based on the first and nth time points T (1) and T (n) (S150).

More specifically, first, the authentication signal analyzer 13 of FIG. 1 periodically measures the frequency of the received signal and detects the initial frequency F (0) before receiving the authentication signal Sid. (S110). Here, the initial frequency F (0) may be fixed to a predetermined value.

The authentication signal analyzer 13 periodically measures the frequency of the received signal and detects the first frequency F (1) that is different from the initial frequency F (0). 1 Serial unit signal is assumed to be sent. Accordingly, the detected first frequency F (1) and the first time point T (1) of detecting the first frequency F (1) are stored (S120).

In addition, the authentication signal analyzer 13 continuously measures the frequency of the received signal regularly, and detects the first frequency F (1) again after the first time point T (1). T (n)) each time a frequency F (i) that is different from the previously stored frequency F (i-1) is detected, the detected frequency F (i) and the time at which it is detected ( T (i)) is stored (S130).

First, i is set to 2 after the first time point T (1) (S131). When the frequency of the received signal is measured regularly and the i-th frequency F (i) that is different from the previously stored i-th frequency F (i-1) is detected (S132), the detected th It is determined whether the i frequency F (i) is equal to the first frequency F (1) (S133).

At this time, if the detected i th frequency F (i) is different from the first frequency F (1), it is assumed that a new serial unit signal constituting the frequency pattern of the authentication signal is transmitted. Accordingly, the detected i th frequency F (i) and the i th time point T (i) of detecting the i th frequency F (i) are stored. Then, i is counted (S134).

If the detected i th frequency F (i) is the same as the first frequency F (1), that is, the first frequency F (1) is detected at the n th time point T (n). (S133), a frequency pattern is calculated based on the first to i th frequencies F (1) to F (i) stored up to the nth time point T (n) (S140). Based on the n time points T (1) and T (n), a frequency pattern period is calculated (S150).

At this time, in the step of calculating the frequency pattern (S140), the frequency pattern is calculated as a sequence of the first to i-th frequency (F (1), ..., F (i)) detected until the nth time point. In operation S150 of calculating the frequency pattern period, the frequency pattern period is a time difference between the nth time point T (n) and the first time point T (1) (= T (n) -T (1)). Is calculated.

More specifically, with respect to the process of calculating the frequency pattern and frequency pattern period shown in FIG. 7, as shown in FIG. 8, the first serial unit signal of the first frequency F (1), the second frequency ( The second serial unit signal of F (2) and the third serial unit signal of the third frequency F (3) are described as an example of an authentication signal Sid having a form listed on a time axis. Here, the first to third frequencies F (1), F (2), and F (3) are different from each other.

The authentication signal analysis unit 12 periodically measures the frequency of the received signal, detects the initial frequency F (0) (S110), and the first time point T (T () where the authentication signal Sid starts to be transmitted. 1)) detects a first frequency F (1) that is different from the initial frequency F (0). As such, when the first frequency F (1) is detected, the first serial unit signal, which is the first serial unit signal of the authentication signal, is regarded as being transmitted, and thus, the first time point T (1) and the first time point. The detected first frequency F (1) is stored in (T (1)) (S120).

After i is initialized to 2 (i = 2) (S131), the frequency of the received signal is measured regularly, and waits for a frequency different from the first frequency F (1) to be detected.

When a frequency different from the first frequency F (1) is detected at the second time point T (2) (S132), the frequency detected at the second time point T (2) is the first frequency F (1). It is determined whether the same as)) (S133). In this case, since the frequency detected at the second time point T (2) is different from the first frequency F (1), the second serial unit signal following the first serial unit signal is regarded as being transmitted, and thus the second The second frequency F (2) detected at the time point T (2) and the second time point T (2) is stored.

Then, after counting i (i = 3) (S134), the frequency of the received signal is measured regularly so that a frequency different from the immediately detected second frequency F (2) is detected. waiting.

When a frequency different from the second frequency F (2) is detected at the third time point T (3) (S132), the frequency detected at the third time point T (3) is the first frequency F (1). It is determined whether the same as)) (S133). At this time, since the frequency detected at the third time point T (3) is different from the first frequency F (1), the third serial unit signal following the second serial unit signal is regarded as being transmitted, The third frequency F (3) detected at the time point T (3) and the third time point T (3) is stored.

After counting i (i = 4) (S134), the frequency of the received signal is measured regularly so that a frequency different from the immediately detected third frequency F (3) is detected. waiting.

When a frequency different from the third frequency F (3) is detected at the fourth time point T (4) (S132), the frequency detected at the fourth time point T (4) is the first frequency F (1). It is determined whether the same as)) (S133). At this time, since the frequency detected at the fourth time point T (4) is the same as the first frequency F (1), it is assumed that the authentication signal is transmitted once.

Accordingly, the frequency pattern is calculated (S140), and the frequency pattern lists the first to third frequencies F (1), F (2), and F (3) stored until the fourth time point T (4). Calculated in form. The frequency pattern period is calculated (S150), and the frequency pattern period is calculated as a time difference T (4) -T (1) between the fourth time point and the first time point.

6 and 8 illustrate that two or more different frequencies are listed on the time axis in the frequency pattern of the authentication signal, the first embodiment of the present disclosure is not limited thereto. That is, in the frequency pattern of the authentication signal according to the first embodiment of the present application, the frequencies of the first serial unit signal indicating the start of the transmission of the authentication signal (except for F (1), the frequencies of the remaining serial unit signals may overlap. In this case, two serial unit signals listed side by side must have different frequencies from each other so that they can be distinguished from each other.

In other words, according to the first exemplary embodiment of the present application, two or more serial unit signals which are not listed next to each other except for the frequency F (1) of the first serial unit signal may have the same frequency.

As such, according to the first embodiment of the present application, the authentication signal includes a frequency pattern whose variable is an order in which two or more different frequencies are arranged on the time axis. Accordingly, the frequency pattern may be used as identification information unique to the peripheral device 20 in the order in which different frequencies are listed.

Then, the smart device 10 detects the frequency of the signal received regularly, based on the frequency pattern based on the two or more frequencies detected for a period from the first time the first detected first frequency after the authentication signal is detected again May be calculated, and the frequency pattern period may be calculated based on a time point when the first frequency is detected again.

The frequency pattern of the authentication signal according to the first embodiment of the present application is limited to a frequency domain that can be included in the frequency pattern variable range of the frequency pattern by using two or more different frequencies listed as variables.

Accordingly, the frequency pattern of the authentication signal according to the second embodiment of the present application can further expand the variable range of the frequency pattern by using two or more different frequencies listed and transmission time of each frequency as variables.

Hereinafter, referring to FIGS. 9 to 11, the step (S21) of calculating the authentication signal and the frequency pattern included therein according to the second embodiment of the present application will be described. At this time, the authentication signal according to the second embodiment of the present application includes two or more different frequencies listed and a frequency pattern having the transmission time of each frequency as a variable.

9 shows an authentication signal according to a second embodiment of the present application. FIG. 10 is a flowchart illustrating a step of calculating the frequency pattern and the frequency pattern period of FIG. 5 according to the second embodiment of the present disclosure, and FIG. 11 is an example of an authentication signal for explaining FIG. 10.

As shown in FIG. 9, the authentication signal Sid according to the second embodiment of the present application has i serial unit signals having different frequencies and different transmission times in a form in which the serial unit signals are arranged on the time axis, and thus i frequencies. (F (1) to F (i), where i is an integer of 2 ≦ i <n) includes a frequency pattern in which each transmission time is listed.

As shown in FIG. 10, the process of calculating the frequency pattern and the frequency pattern period of the authentication signal according to the second embodiment of the present application (S21) includes detecting an initial frequency (F (0)) (S210). Detecting a first frequency F (1) different from the initial frequency F (0) at one time point T (1) (S220) and a first frequency after the first time point T (1). Up to the nth time point T (n) for detecting F (1), the i-1th frequency F (i-1) at the i th time point T (i), 2≤i <n When detecting a different i-th frequency F (i), calculating the transmission time TC (i-1) of the i-th frequency (S230), and detecting at the n-th time point T (n) If the frequency F (i) is equal to the first frequency F (1), calculating the transmission time TC (i) of the i th frequency F (i) (S240), and the first to the second to F (i) frequencies. Calculating a frequency pattern based on the i th frequencies F (1) to F (i) and the transmission time TC (1) to TC (i) of each frequency (S250), and the first and n th Compute the frequency pattern period based on the time points T (1) and T (n) And a step (S260) to.

More specifically, first, the authentication signal analyzer 13 of FIG. 1 periodically measures the frequency of the received signal and detects the initial frequency F (0) before receiving the authentication signal Sid. (S210). Here, the initial frequency F (0) may be fixed to a predetermined value.

The authentication signal analyzer 13 periodically measures the frequency of the received signal and detects the first frequency F (1) that is different from the initial frequency F (0). 1 Serial unit signal is assumed to be sent. Accordingly, the detected first frequency F (1) and the first time point T (1) of detecting the first frequency F (1) are stored (S220).

In addition, the authentication signal analyzer 13 continuously measures the frequency of the received signal regularly, and detects the first frequency F (1) again after the first time point T (1). Each time a frequency F (i) is different from the immediately stored frequency F (i-1) up to T (n), the detected frequency F (i) and its origination time TC (i)) and a time point T (i) at which the frequency F (i) is detected (S230).

First, i is set to 2 after the first time point T (1) (S231). When the frequency of the received signal is measured regularly and the i th frequency F (i) that is different from the previously stored i th frequency F (i-1) is detected (S232), the detected th It is determined whether the i frequency F (i) is equal to the first frequency F (1) (S233).

At this time, if the detected i th frequency F (i) is different from the first frequency F (1), it is assumed that a new serial unit signal constituting the frequency pattern of the authentication signal is transmitted. Therefore, the detected i th frequency F (i) and the i th time point T (i) of detecting the i th frequency F (i) are stored and the i th time point T (i-1). Based on i)) and the i th time point T (i), the transmission time TC (i-1) of the i-1 th frequency stored immediately before is calculated (S234). Then, i is counted (S235). Here, the transmission time TC (i-1) of the i-th frequency is the time difference between the i-th time point T (i) and the i-1 time point T (i-1) (= T (i) −). T (i-1)).

If the detected i th frequency F (i) is the same as the first frequency F (1), that is, the first frequency F (1) is detected at the n th time point T (n). In operation S233, the transmission time TC (i) of the i th frequency is calculated (S240). Here, the transmission time TC (i) of the i th frequency may be calculated as a time difference (= T (n) −T (i)) between the n th time point T (i) and the i time point T (i). Can be.

Based on the first to i th frequencies F (1) to F (i) stored up to the nth time point T (n) and the transmission time TC (1) to TC (i) of each frequency, The frequency pattern is calculated (S250), and the frequency pattern period is calculated based on the first and nth time points T (1) and T (n) (S260).

At this time, in the step of calculating the frequency pattern (S250), the frequency pattern is the first to i-th frequency (F (1), ~, F (i) detected before the n-th time point, each of the transmission time TC ( 1) to TC (i)). That is, the frequency pattern includes a first frequency (TC (1): F (1)) transmitted during the first transmission time, a second frequency (TC (2): F (2)) transmitted during the second transmission time, … The i th frequency TC (i): F (i) transmitted during the i th transmission time is calculated.

In operation S260 of calculating the frequency pattern period, the frequency pattern period is a time difference between the nth time point T (n) and the first time point T (1) (= T (n) -T (1)). Is calculated.

More specifically, with respect to the process of calculating the frequency pattern and frequency pattern period shown in FIG. 10, as shown in FIG. 11, the first frequency F (1) transmitted during the first transmission time TC (1). Outgoing during the first serial unit signal of)), the second serial unit signal of the second frequency F (2) transmitted during the second transmission time TC (2), and the third transmission time TC (3). The third serial unit signal of the third frequency F (3), and the fourth serial unit signal of the fourth frequency F (4) transmitted during the fourth transmission time TC (4). The authentication signal Sid, which is in the form listed in time, will be described as an example. Here, the first to fourth transmission times TC (1), TC (2), TC (3), and TC (4) are different from each other, and the first to fourth frequencies F (1) and F (2). ), F (3), and F (4) are mutually different.

The authentication signal analyzer 12 periodically measures the frequency of the received signal, detects the initial frequency F (0), and at step S210, the first time point T (T () where the authentication signal Sid starts to be transmitted. 1)) detects a first frequency F (1) that is different from the initial frequency F (0). As such, when the first frequency F (1) is detected, the first serial unit signal, which is the first serial unit signal of the authentication signal, is regarded as being transmitted, and thus, the first time point T (1) and the first time point. The detected first frequency F (1) is stored in (T (1)) (S220).

After initializing i to 2 (i = 2) (S231), the frequency of the received signal is measured regularly, and waits for a frequency different from the first frequency F (1) to be detected.

When the second time T (2) detects a frequency different from the first frequency F (1) (S232), the frequency detected at the second time T (2) is the first frequency F (1). It is determined whether the same as)) (S233). In this case, since the frequency detected at the second time point T (2) is different from the first frequency F (1), the second serial unit signal following the first serial unit signal is regarded as being transmitted, and thus the second The second frequency F (2) detected at the time point T (2) and the second time point T (2) is stored.

The transmission of the first frequency F (1) is regarded as being terminated at the second time point T (2) at which the second frequency F (2) is detected. Accordingly, the transmission time TC (1) of the first frequency is calculated based on the first and second time points T (1) and T (2) (S234).

Thereafter, after counting i (i = 3) (S235), the frequency of the received signal is measured regularly so that a frequency different from the previously detected second frequency F (2) is detected. waiting.

If a frequency different from the second frequency F (2) is detected at the third time point T (3) (S232), the frequency detected at the third time point T (3) is the first frequency F (1). It is determined whether the same as)) (S233). At this time, since the frequency detected at the third time point T (3) is different from the first frequency F (1), the third serial unit signal following the second serial unit signal is regarded as being transmitted, The third frequency F (3) detected at the time point T (3) and the third time point T (3) is stored.

The transmission of the second frequency F (2) is regarded as being terminated at the third time point T (3) at which the third frequency F (3) is detected. Accordingly, the transmission time TC (2) of the second frequency is calculated based on the second and third time points T (2) and T (3) (S234).

Thereafter, after counting i (i = 4) (S235), the frequency of the received signal is measured regularly, so that a frequency different from the previously detected third frequency F (3) is detected. waiting.

When a frequency different from the third frequency F (3) is detected at the fourth time point T (4) (S232), the frequency detected at the third time point T (4) is the first frequency F (1). It is determined whether the same as)) (S233). At this time, since the frequency detected at the third time point T (3) is different from the first frequency F (1), the fourth serial unit signal following the third serial unit signal is regarded as being transmitted, and thus the fourth The time point T (4) and the fourth frequency F (4) are stored. Based on the third and fourth time points T (3) and T (4), the transmission time TC (3) of the third frequency is calculated (S234).

Thereafter, after counting i (i = 5) (S235), the frequency of the received signal is measured regularly so that a frequency different from the previously detected fourth frequency F (4) is detected. waiting.

When a frequency different from the fourth frequency F (4) is detected at the fifth time point T (5) (S232), the frequency detected at the fifth time point T (5) is the first frequency F (1). It is determined whether the same as)) (S233). At this time, since the frequency detected at the fifth time point T (5) is the same as the first frequency F (1), it is assumed that the authentication signal is transmitted once.

At this time, it is assumed that transmission of the fourth frequency F (4) is finished at the fifth time point T (5). Accordingly, the transmission time TC (4) of the fourth frequency is calculated based on the fourth and fifth time points T (4) and T (5) (S240).

Then, the frequency pattern is calculated (S250), and the frequency pattern is the first to fourth frequencies F (1), F (2), F (3), and F (stored until the fifth time point T (5). 4)) is calculated in the form of each transmission time TC (1), TC (2), TC (3), TC (4), and calculates a frequency pattern period (S260). Is calculated as the time difference T (5) -T (1) between the fifth time point and the first time point.

9 and 10 show that the frequency pattern of the authentication signal is two or more different frequencies are listed on the time axis in each transmission time. That is, two or more serial unit signals are shown as having different transmission times for different frequencies and respective frequencies.

However, the second embodiment of the present application is not limited to this. That is, as in the first embodiment of the present application, according to the second embodiment of the present application, two or more serial unit signals which are not listed next to each other except for the frequency F (1) of the first serial unit signal are mutually the same. May have a frequency.

The frequency pattern of the authentication signal according to the second embodiment of the present application uses not only two or more frequencies listed, but also the transmission time of each frequency as a variable. As such, as the transmission time is added as a variable, the variable range of the frequency pattern may be exponentially widened.

For reference, the components illustrated in FIGS. 1 and 2 mean software components or hardware components such as a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC), and perform predetermined roles.

However, 'components' are not meant to be limited to software or hardware, and each component may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors.

Thus, by way of example, an element may comprise components such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, Routines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.

The components and functions provided within those components may be combined into a smaller number of components or further separated into additional components.

One embodiment of the present invention may also be embodied in the form of a recording medium including instructions executable by a computer, such as program modules, being executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

While the methods and systems of the present invention have been described in connection with specific embodiments, some or all of those elements or operations may be implemented using a computer system having a general purpose hardware architecture.

The foregoing description of the present invention is intended for illustration, and it will be understood by those skilled in the art that the present invention may be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is shown by the following claims rather than the above description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

10: Smart device 11: I / O port
11 ': earphone port 12: authentication signal analysis unit
13: authentication signal management unit 14: signal processing control unit
15: application management unit 16: power supply unit
17: data analysis unit 18: display unit
20: Peripheral device 21: I / O plug
21 ': earphone plug 22: authentication signal provider
23: data generator 24: power supply
11a: ground terminal 11b: microphone terminal
11c, 11d: first and second speaker terminals
21a: Ground terminal 21b: Output terminal
21c: input terminal
Sid: Authentication Signal
F (1) to F (i): first to i-th frequency
T (1), T (i), T (n): first, i and nth time points

Claims (16)

In the peripheral device that can be connected to the smart device through the earphone port of the smart device,
An earphone plug connected to the earphone port of the smart device; And
When the earphone plug is connected to the earphone port, including an authentication signal providing unit for transmitting an authentication signal which is a unique identifier given to the peripheral device to the smart device,
The authentication signal is a peripheral device having a form in which two or more serial unit signals having different frequencies are arranged in a time axis, and including a frequency pattern in which two or more frequencies are combined. The method of claim 1,
The authentication signal is a peripheral device having a frequency pattern in which two or more serial unit signals having different frequencies and different transmission times are arranged on a time axis, and having a combination of two or more frequencies and transmission times of respective frequencies. 3. The method according to claim 1 or 2,
The serial unit signal is a peripheral device having a frequency in any one of the frequency range of 17000 kHz to 21000 kHz. The method of claim 1,
Peripheral device further comprising a power supply for receiving power from the smart device. In the smart device recognizes the peripheral device connected through the earphone port,
Receiving an authentication signal from a peripheral device connected to the earphone port;
Identifying the received authentication signal; And
Recognizing a peripheral device connected to the earphone port based on the identified authentication signal,
The identified authentication signal is formed in a form in which two or more serial unit signals having different frequencies are arranged on a time axis, and includes a frequency pattern in which two or more frequencies are combined. The method of claim 5, wherein
Identifying the authentication signal,
Periodically measuring the frequency of the received authentication signal, calculating a frequency pattern included in the authentication signal, and calculating a frequency pattern period which is a transmission time of the frequency pattern;
For each of the calculated frequency pattern periods, determining whether the calculated frequency pattern is repeated at least once and checking the calculated frequency pattern; And
Peripheral device recognition method comprising the step of identifying the authentication signal including the checked frequency pattern. The method according to claim 6,
Computing the frequency pattern and the frequency pattern period,
Detecting a first frequency different from an initial frequency before the authentication signal is received;
Detecting an i-th frequency different from the i-th frequency at an i-th time point (2 ≦ i <n) from a first time point after detecting the first frequency to an nth time point when detecting the first frequency;
Calculating the frequency pattern based on the first to i-th frequencies; And
And calculating the frequency pattern period based on the first and nth viewpoints. The method according to claim 6,
The authentication signal is formed by arranging two or more serial unit signals having different frequencies and different transmission times on a time axis, and includes a frequency pattern in which two or more frequencies and transmission times of respective frequencies are combined. How to recognize peripheral device. The method of claim 8,
Computing the frequency pattern and the frequency pattern period,
Detecting a first frequency different from an initial frequency before the authentication signal is received;
From the first time point of detecting the first frequency to the nth time point of detecting the nth serial unit signal of the first frequency, i-th different from the i-1 frequency at the i-time point (2≤i <n) Calculating a transmission time of an i-1th frequency based on the i-1th and i th time points when sensing a frequency;
Calculating a transmission time of an i th frequency based on the i th and n th time points when the first frequency is detected at the n th time point;
Calculating the frequency pattern based on the first to i-th frequencies and the transmission time of each frequency; And
And calculating the frequency pattern period based on the first and nth viewpoints. 10. The method according to any one of claims 5 to 9,
The serial unit signal is a peripheral device recognition method of a smart device having a frequency of any one of the frequency range of 17000 kHz to 21000 kHz. In the smart device that can be connected to various peripherals,
An earphone port connected to the earphone plug of the peripheral device; And
Receiving an authentication signal which is a unique identifier given to the peripheral device from the peripheral device connected through the earphone port, and based on the received authentication signal, including an authentication signal analysis unit for recognizing the peripheral device connected through the earphone port, ,
The authentication signal is a smart device comprising a frequency pattern in which two or more serial unit signals having different frequencies are arranged in a time axis, and having two or more frequencies combined. The method of claim 11,
An authentication signal manager to hold authentication signals of various peripheral devices connectable to the smart device;
A signal processing controller configured to execute at least one signal processing application corresponding to the peripheral device recognized by the authentication signal analyzer; And
Smart device further comprises a power supply for supplying power to the peripheral device. 13. The method of claim 12,
The authentication signal analysis unit
Detecting a first frequency different from an initial frequency before the authentication signal is received;
I-th frequency different from i-th frequency at an i-th time point (2≤i <n) after a first time point from a first time point after detecting the first frequency to an nth time point for detecting the first frequency Detects
Calculating the frequency pattern based on the first to i-th frequencies,
Calculating a period of the frequency pattern based on the first and n th time points,
For each period of the calculated frequency pattern, it is determined at least once whether the calculated frequency pattern is repeated, and the calculated frequency pattern is checked.
Identifying an authentication signal including the checked frequency pattern,
A smart device for deriving a peripheral device corresponding to the identified authentication signal by using the authentication signal manager. 13. The method of claim 12,
The authentication signal is a smart device comprising a frequency pattern in which two or more serial unit signals having different frequencies and different transmission times are arranged on a time axis, and combining two or more frequencies and transmission times of each frequency. 15. The method of claim 14,
The authentication signal analysis unit
Detecting a first frequency different from an initial frequency before the authentication signal is received;
I-th serial unit of the i-th frequency different from the i-th frequency at an i-th time point (2≤i <n) from a first time point after detecting the first frequency to an nth time point when detecting the first frequency When the signal is detected, the transmission time of the i-th frequency is calculated based on the i-th and i-th time points,
When the first frequency is detected at the nth time point, a transmission time of the i th frequency is calculated based on the i th and n th time points,
Calculating the frequency pattern based on the first to i-th frequencies and the transmission time of each frequency,
Calculating a period of the frequency pattern based on the first and n th time points,
For each period of the calculated frequency pattern, it is determined at least once whether the calculated frequency pattern is repeated, and the calculated frequency pattern is examined.
Identifying an authentication signal including the checked frequency pattern,
A smart device for deriving a peripheral device corresponding to the identified authentication signal by using the authentication signal manager. 16. The method according to any one of claims 11 to 15,
The serial unit signal is a smart device having a frequency in any one of the frequency range of 17000 kHz to 21000 kHz.

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