JP7214059B1 - Frequency control device, control circuit, storage medium and frequency control method - Google Patents

Abstract

A frequency control device (100) includes a resolution enhancement processing unit (102) that creates a high resolution interference map (103) by increasing the resolution of an interference map (101), and an interference type based on the high resolution interference map (103). and generates interference type information (105) indicating the type of interference of the time and frequency signals estimated as interference in the high resolution interference map (103); and a high resolution interference map (103) and a frequency control unit (106) that determines a frequency channel (110) to be used for communication based on the interference type information (105).

Description

The present disclosure relates to a frequency control device, a control circuit, a storage medium, and a frequency control method that perform frequency control.

Conventionally, wireless systems using the ISM (Industrial, Scientific and Medical) band may be subject to interference from radio waves radiated from other systems because various devices use the ISM band. Examples of systems using the ISM band include wireless LANs (Local Area Networks), Bluetooth (registered trademark), microwave ovens, and the like. Frequency control is one method for suppressing the influence of interference of radio waves emitted from these devices. Frequency control is control for avoiding interference by monitoring the radio wave environment of the used band and changing the used frequency when an interference wave is detected.

As a form of radio wave environment monitoring, which is a prerequisite for frequency control, after acquiring information such as a spectrogram that analyzes the received signal and maps the signal power on the time-frequency axis, frequency control is performed based on the acquired information. thought to do. For example, Patent Literature 1 discloses a technique for detecting a frequency hopping signal based on a spectrogram image, targeting a frequency hopping signal that is difficult to detect.

Japanese Patent No. 4127250

However, according to the above-described conventional technique, it is premised on receiving and analyzing signals in a sufficient band at a time. Therefore, there is a problem that it is difficult to use in a form in which interference information is partially acquired while frequency hopping.

The present disclosure has been made in view of the above, and an object thereof is to obtain a frequency control device capable of frequency control for performing highly reliable communication.

In order to solve the above-described problems and achieve the object, the frequency control device of the present disclosure includes a resolution enhancement processing unit that enhances the resolution of an input interference map to generate a high-resolution interference map, and a high-resolution interference map an interference type estimator for estimating the interference type based on the high resolution interference map and generating interference type information indicating the type of interference of the time and frequency signals that are estimated to interfere in the high resolution interference map; and the high resolution interference map and the interference type information. and a frequency control unit that determines a frequency channel to be used for communication based on . When generating a high-resolution interference map by increasing the resolution of the interference map by super-resolution using a machine learning model, the high-resolution processing unit uses the high-resolution interference map as learning data to determine the method of generating the interference map. Generate a low-resolution interference map by performing processing based on it, use the generated low-resolution interference map as input for a machine learning model, and label the high-resolution interference map as training data used to generate the low-resolution interference map is characterized by learning to minimize the error function calculated by the output of the machine learning model and the label .

The frequency control device according to the present disclosure has the effect of being able to perform frequency control for highly reliable communication.

1 is a diagram showing a configuration example of a frequency control device according to Embodiment 1; FIG. 4 is a flow chart showing the operation of the frequency control device according to the first embodiment; 4 is a flow chart showing the operation of the frequency control unit of the frequency control device according to the first embodiment; FIG. 4 is a diagram showing a configuration example of a processing circuit that implements the frequency control device according to the first embodiment when it is implemented by a processor and a memory; FIG. 4 is a diagram showing an example of a processing circuit that implements the frequency control device according to the first embodiment and that is configured by dedicated hardware; FIG. 11 is a diagram showing a configuration example of a frequency control system according to Embodiment 2; Flowchart showing the operation of the frequency control system according to the second embodiment

A frequency control device, a control circuit, a storage medium, and a frequency control method according to embodiments of the present disclosure will be described below in detail with reference to the drawings.

Embodiment 1.
FIG. 1 is a diagram showing a configuration example of a frequency control device 100 according to Embodiment 1. As shown in FIG. The frequency control device 100 includes a resolution enhancement processing unit 102, an interference type estimation unit 104, a frequency control unit 106, and a storage unit 108a that stores a communication quality database 108. FIG. FIG. 2 is a flow chart showing the operation of the frequency control device 100 according to the first embodiment.

The resolution enhancement processing unit 102 enhances the resolution of the interference map 101 input to the frequency control device 100 to generate a high resolution interference map 103 (step S101). A high-resolution interference map 103 is obtained by increasing the resolution of the interference map 101 . The high-resolution processing unit 102 may generate a high-resolution interference map 103 by increasing the resolution of the interference map 101 by, for example, performing interpolation processing using signal processing, super-resolution using a machine learning model, or the like. It is not limited to this. The high-resolution processing unit 102 uses SRDNN (Super Resolution Deep Neural Network), SRCNN (Super Resolution Convolutional Neural Network), SRGAN (Super Resolution Generative Adversarial Network), etc. when performing super-resolution using a machine learning model. However, it is not limited to these. When performing super-resolution using a machine learning model, the high-resolution processing unit 102 prepares a high-resolution interference map 103 as learning data, and sums, averages, and A low-resolution interference map is generated by performing moving averaging, filtering, maximum extraction, and so on. The high-resolution processing unit 102 uses the generated low-resolution interference map as an input for the machine learning model, uses the high-resolution interference map 103 used for generating the low-resolution interference map as a label, and uses the output of the machine learning model and the label Learn to minimize the computed error function.

The interference type estimation unit 104 generates interference type information 105 by estimating the interference type based on the high-resolution interference map 103 (step S102). The interference type information 105 is information indicating the type of interference of the time and frequency signals estimated as interference in the high-resolution interference map 103 . The interference type estimation unit 104 performs interference type estimation using, for example, a machine learning model. The interference type estimating unit 104 has a method of estimating the type of interference: classification by a classification task that outputs one interference type for the entire high-resolution interference map 103, classification by an object detection task that simultaneously specifies the position and type of interference. , a method such as classification using semantic segmentation or the like that identifies the interference type in units of pixels, but is not limited to these.

Frequency control section 106 determines frequency channel 110 to be used for communication based on high resolution interference map 103 acquired from resolution enhancement processing section 102 and interference type information 105 acquired from interference type estimation section 104 . Specifically, frequency control section 106 generates channel information 107 based on high resolution interference map 103 and interference type information 105 (step S103). The channel information 107 is information indicating the state of interference received in each channel, such as the type of interference received by each channel, the number of subcarriers received by each channel, and the like. Frequency control unit 106 searches communication quality database 108 based on channel information 107 and acquires communication quality index 109 from communication quality database 108 (step S104). The communication quality index 109 indicates the communication quality allowed for the frequency channel 110 used for communication. The frequency control unit 106 determines the frequency channel 110 to be used based on the communication quality index 109 (step S105). Note that the frequency control unit 106 may store the information of the determined frequency channel 110 in the communication quality database 108 in association with the channel information 107, the communication quality index 109, and the like.

Storage unit 108 a stores communication quality database 108 . A communication quality index 109 corresponding to the channel information 107 and the like are stored in the communication quality database 108 .

Next, the operation of frequency control section 106 until determining frequency channel 110 to be used will be described in detail. FIG. 3 is a flowchart showing the operation of frequency control section 106 of frequency control device 100 according to the first embodiment. First, the frequency control unit 106 refers to the high-resolution interference map 103 and the interference type information 105 (step S201), and confirms the presence or absence of interference in the channel, that is, confirms whether or not there is a channel without interference ( step S202). If there is a non-interference channel (step S202: Yes), the frequency control unit 106 determines the non-interference channel as the frequency channel 110 to be used (step S208).

If there is no interference-free channel (step S202: No), frequency control section 106 checks the type of interference on each channel (step S203). Frequency control section 106 does not occupy the same channel for a long time even if interference is observed on a channel if the type of interference is highly time-varying, such as frequency-hopping interference. Since there is no temporal interference, it is determined that the channel is communicable. Frequency control section 106 can determine whether the time variability is high or low by comparing the occupancy time during which interference exists in the channel with a predetermined first threshold. It is not limited to this. If the interference present in the channel is of an interference type with high time variability (step S204: Yes), the frequency control unit 106 determines the frequency channel 110 to use the channel of the interference type with high time variability (step S208). . That is, when the interference present in the channel is of the specified time-varying interference type, frequency control section 106 determines the frequency channel 110 to use the channel of the specified time-variable interference type.

If the interference present in the channel is not of an interference type with high time variation (step S204: No), then frequency control section 106 checks the number of subcarriers that receive interference in the channel (step S205). Frequency control section 106 determines that communication is possible on the channel if the number of subcarriers subject to interference can be suppressed by an interference suppression technique. Frequency control section 106 determines whether or not the number of subcarriers subject to interference can be suppressed by interference suppression technology by comparing the number of subcarriers subject to interference with a predetermined second threshold. However, the determination method is not limited to this. Note that frequency control section 106 may determine whether or not interference can be suppressed using error correction technology or the like in addition to interference suppression technology. If the number of subcarriers that are subject to interference is within a range where interference can be suppressed (step S206: Yes), frequency control section 106 determines that interference exists and interference type channels with low time variability have interference, and It is determined as the frequency channel 110 that uses a channel that is an interference type channel with low time variability and whose number of subcarriers that receive interference is capable of suppressing interference (step S208).

If the number of subcarriers receiving interference is not within the range where interference can be suppressed (step S206: No), frequency control section 106 evaluates the A channel is selected based on the communication quality index 109 for each interference type (step S207). In step S207, frequency control section 106 selects a channel that is not error-free due to interference suppression. The communication quality index 109 is assumed to be, for example, a bit error rate such as BER (Bit Error Rate), PER (Packet Error Rate), etc., but is not limited to these. Frequency control section 106 refers to communication quality database 108 based on channel information 107 such as, for example, the type of interference and the number of subcarriers receiving interference, and specifies communication quality indicator 109 from communication quality database 108 based on channel information 107. By doing so, the communication quality index 109 can be obtained. The frequency control unit 106 determines the channel selected in step S207 as the frequency channel 110 to be used (step S208).

Next, the hardware configuration of each device of the frequency control device 100 will be described. In the frequency control device 100, the storage section 108a is a memory. The resolution enhancement processing unit 102, the interference type estimation unit 104, and the frequency control unit 106 are realized by processing circuits. The processing circuitry may be a processor and memory executing programs stored in the memory, or may be dedicated hardware. Processing circuitry is also called control circuitry.

FIG. 4 is a diagram showing a configuration example of the processing circuit 90 when the processing circuit that implements the frequency control device 100 according to the first embodiment is implemented by the processor 91 and the memory 92. As shown in FIG. A processing circuit 90 shown in FIG. 4 is a control circuit and includes a processor 91 and a memory 92 . When the processing circuit 90 is composed of the processor 91 and the memory 92, each function of the processing circuit 90 is implemented by software, firmware, or a combination of software and firmware. Software or firmware is written as a program and stored in memory 92 . In the processing circuit 90, each function is realized by the processor 91 reading and executing the program stored in the memory 92. FIG. That is, the processing circuitry 90 includes a memory 92 for storing programs that result in the processing of the frequency control device 100 being executed. This program can also be said to be a program for causing the frequency control device 100 to execute each function realized by the processing circuit 90 . This program may be provided by a storage medium storing the program, or may be provided by other means such as a communication medium.

The above program includes a first step in which the resolution enhancement processing unit 102 enhances the resolution of the interference map 101 to generate a high-resolution interference map 103 , and an interference type estimation unit 104 performs interference A second step of estimating the type and generating interference type information 105 indicating the type of interference of the time and frequency signals estimated to be interference in the high-resolution interference map 103; 103 and the interference type information 105, and the third step of determining the frequency channel 110 to be used for communication.

Here, the processor 91 is, for example, a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, a microcomputer, or a DSP (Digital Signal Processor). The memory 92 is a non-volatile or volatile memory such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable ROM), EEPROM (registered trademark) (Electrically EPROM). A semiconductor memory, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, or a DVD (Digital Versatile Disc) is applicable.

FIG. 5 is a diagram showing an example of the processing circuit 93 when the processing circuit realizing the frequency control device 100 according to the first embodiment is configured by dedicated hardware. The processing circuit 93 shown in FIG. 5 is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof. thing applies. The processing circuit may be partly implemented by dedicated hardware and partly implemented by software or firmware. Thus, the processing circuitry may implement each of the functions described above through dedicated hardware, software, firmware, or a combination thereof.

As described above, according to the present embodiment, frequency control apparatus 100 uses high-resolution interference map 103 obtained by increasing the resolution of interference map 101, and estimates the type of interference using high-resolution interference map 103. Based on the interference type information 105, frequency control is performed. As a result, the frequency control device 100 can perform frequency control for highly reliable communication. In addition, since the frequency control device 100 can generate a high-resolution interference map 103 even from an interference map 101 with a low sampling rate and estimate the interference type, the amount of memory can be reduced, the cost of parts such as oscillators can be reduced, and the cost of parts such as oscillators can be reduced. Effects such as reduction in power consumption can also be obtained.

In the present embodiment, frequency control apparatus 100 can achieve advanced frequency control in frequency control using interference map 101 even when the resolution of acquired interference map 101 is very coarse. Specifically, for example, when transmitting one interference amount for each specified channel width to the database, the frequency control device 100 generates the interference map 101 as before, and then uses techniques such as super-resolution. Increase the resolution of the interference map 101 . Thereby, the frequency control device 100 can realize advanced interference avoidance. As a technique for increasing the resolution of the interference map 101 in the frequency control device 100, super-resolution by machine learning is assumed, but it is also conceivable to use an interpolation technique such as Bicubic.

Methods of avoiding interference in frequency control apparatus 100 include (1) using a channel with no interference, (2) selecting a channel with a small number of subcarriers affected by interference in the case of a channel with interference, and the like. I can think of a way.

As a further development, the frequency control device 100 identifies the radio specifications of the interference type, such as the center frequency and frequency bandwidth, from the interference type information 105, thereby improving the accuracy of the high-resolution interference map 103. be able to. For example, by specifying the center frequency and frequency bandwidth of the interference from the interference type information 105 of the interference present in the high-resolution interference map 103, if there is the same interference as the interference type, the center frequency and frequency bandwidth is assumed to fit in Therefore, the frequency control device 100 corrects the high-resolution interference map 103 by, for example, eliminating the interference from the high-resolution interference map 103 when the frequency exceeds the center frequency and frequency bandwidth and the interference type is the same. By doing so, the accuracy of the interference map 101 can be improved.

In this way, the frequency control device 100 receives the interference map 101 generated by a conventional method as an input, increases the resolution of the obtained interference map 101, and performs frequency control to reduce the influence of interference. can be done. Further, when there is no channel that is not affected by interference, frequency control apparatus 100 can reduce the influence of interference by selecting a channel with fewer subcarriers that are affected by interference. In addition, when the frequency control device 100 is introduced into a system that utilizes interference suppression technology, the interference suppression function of the system selects an interference type channel that can further suppress the effects of interference, thereby suppressing the effects of interference. can be reduced. In addition, when controlling the channel to be used according to the interference type, the frequency control device 100 has a machine learning model that estimates the interference type with respect to the interference map 101, and performs control based on the estimation result to reduce the interference. The impact can be reduced.

Embodiment 2.
Embodiment 2 describes a frequency control system including frequency control device 100 described in Embodiment 1. FIG.

FIG. 6 is a diagram showing a configuration example of a frequency control system 200 according to Embodiment 2. As shown in FIG. The frequency control system 200 includes a frequency converter 201, an ADC (Analog to Digital Converter) 202, a symbol rate converter 203, an interference signal extractor 204, an interference information storage memory 205, and an interference map generator 206. , a resolution enhancement processing unit 207 , an interference type estimation unit 208 , a frequency control unit 209 , and a storage unit 210 a for storing a communication quality database 210 . Antenna 220 is connected to frequency control system 200 as shown in FIG. 6, but antenna 220 may also be included in frequency control system 200 .

The storage unit 210a that stores the resolution enhancement processing unit 207, the interference type estimation unit 208, the frequency control unit 209, and the communication quality database 210 of the second embodiment shown in FIG. It is similar to the storage unit 108a that stores the resolution processing unit 102, the interference type estimation unit 104, the frequency control unit 106, and the communication quality database 108. FIG. That is, it can be said that the frequency control system 200 includes the frequency control device 100 described in the first embodiment. FIG. 7 is a flow chart showing the operation of the frequency control system 200 according to the second embodiment.

The frequency converter 201 frequency-converts the received analog signal received by the antenna 220 into a desired frequency specified by the user of the frequency control system 200 (step S301).

The ADC 202 samples the frequency-converted analog signal in the frequency converter 201, and converts the analog signal into a digital signal (step S302).

The symbol rate conversion unit 203 down-samples the sampling sequence of the digital signal obtained by the ADC 202 to a desired symbol rate (step S303).

The interference signal extraction unit 204 extracts interference components based on the non-transmission period in time and frequency (step S304). The interference component can be represented, for example, by a Received Signal Strength Indicator (RSSI), a complex value, or the like. The interference signal extraction unit 204 stores the extracted interference components in the interference information storage memory 205 .

The interference information storage memory 205 is a memory for storing the interference components extracted by the interference signal extraction section 204 .

The interference map generation unit 206 reads the sample values of the interference components at the specified time and frequency from the interference information storage memory 205, and generates the interference map 101 in the desired time and frequency range (step S305).

The resolution enhancement processing unit 207 enhances the resolution of the interference map 101 generated by the interference map generation unit 206 to generate a high-resolution interference map 103 (step S306).

The interference type estimation unit 208 generates the interference type information 105 by estimating the interference type based on the high-resolution interference map 103 (step S307).

The frequency control unit 209 generates channel information 107 based on the high resolution interference map 103 and the interference type information 105 (step S308). The frequency control unit 209 searches the communication quality database 210 based on the channel information 107 and acquires the communication quality index 109 from the communication quality database 210 (step S309). The frequency control unit 209 determines the frequency channel 110 to be used based on the communication quality index 109 (step S310). Note that the frequency control unit 209 may store the information of the determined frequency channel 110 in the communication quality database 210 in association with the channel information 107, the communication quality index 109, and the like. Further, the operation until the frequency channel 110 used by the frequency control unit 209 is determined is the operation until the frequency channel 110 used by the frequency control unit 106 of Embodiment 1 is determined, that is, the operation of the flowchart shown in FIG. is similar to

Storage unit 210 a stores communication quality database 210 . The communication quality database 210 stores the communication quality index 109 corresponding to the channel information 107 and the like.

Note that the frequency control system 200 is connected to one antenna 220 in the example of FIG. The resolution of the map 101 may be increased. In addition, the frequency control system 200 uses a plurality of spatially arranged antennas 220 to create a three-dimensional interference map 101 including the spatial axis with high resolution while suppressing an increase in memory. It can be easily realized.

As described above, according to the present embodiment, the frequency control system 200 has the same configuration as the frequency control device 100 of the first embodiment, and thus has the same structure as the frequency control device 100 of the first embodiment. effect can be obtained.

The configurations shown in the above embodiments are only examples, and can be combined with other known techniques, or can be combined with other embodiments, without departing from the scope of the invention. It is also possible to omit or change part of the configuration.

100 frequency control device, 101 interference map, 102, 207 high resolution processing unit, 103 high resolution interference map, 104, 208 interference type estimation unit, 105 interference type information, 106, 209 frequency control unit, 107 channel information, 108, 210 communication quality database 108a, 210a storage unit 109 communication quality index 110 frequency channel 200 frequency control system 201 frequency conversion unit 202 ADC 203 symbol rate conversion unit 204 interference signal extraction unit 205 interference information storage memory, 206 interference map generator, 220 antenna;

Claims (7)

a resolution enhancement processing unit that enhances the resolution of an input interference map to generate a high resolution interference map;
an interference type estimation unit that estimates an interference type based on the high-resolution interference map and generates interference type information that indicates the type of interference of the time and frequency signals that are estimated to be interference in the high-resolution interference map;
a frequency control unit that determines a frequency channel to be used for communication based on the high-resolution interference map and the interference type information;
with
The high-resolution processing unit uses the high-resolution interference map as learning data when generating the high-resolution interference map by increasing the resolution of the interference map by super-resolution using a machine learning model. A low-resolution interference map is generated by performing processing based on the generation method of, the generated low-resolution interference map is used as an input for a machine learning model, and the learning data used to generate the low-resolution interference map with the high-resolution interference map of
A frequency control device characterized by: The frequency control unit generates channel information indicating the status of interference received in each channel based on the high-resolution interference map and the interference type information, and based on the channel information, the frequency used for communication Obtaining a communication quality indicator that indicates communication quality allowed as a channel, and determining the frequency channel to be used based on the communication quality indicator;
2. The frequency control device according to claim 1, wherein: a storage unit that stores a communication quality database that stores the communication quality index corresponding to the channel information;
with
The frequency control unit searches the communication quality database based on the channel information and acquires the communication quality index from the communication quality database.
3. The frequency control device according to claim 2 , wherein: The frequency control unit determines, as the frequency channel, an interference-free channel, an interference-type channel in which interference existing in the channel has time variability defined, or a channel in which the number of subcarriers receiving interference can suppress interference. do,
The frequency control device according to any one of claims 1 to 3 , characterized in that: A control circuit for controlling a frequency control device,
Generate high-resolution interference map by increasing the resolution of the input interference map,
estimating an interference type based on the high-resolution interference map, and generating interference type information indicating the type of interference of the time and frequency signals estimated as interference in the high-resolution interference map;
determining a frequency channel to be used for communication based on the high-resolution interference map and the interference type information;
In generating a high-resolution interference map by increasing the resolution of the input interference map,
When generating the high-resolution interference map by increasing the resolution of the interference map by super-resolution using a machine learning model, performing processing based on the method of generating the interference map using the high-resolution interference map as learning data. to generate a low-resolution interference map, use the generated low-resolution interference map as an input for a machine learning model, and use the high-resolution interference map as the learning data used to generate the low-resolution interference map as a label. , learned to minimize the error function computed by the output of the machine learning model and the label,
A control circuit that causes the frequency control device to implement: A storage medium storing a program for controlling a frequency control device,
The program
Generate high-resolution interference map by increasing the resolution of the input interference map,
estimating an interference type based on the high-resolution interference map, and generating interference type information indicating the type of interference of the time and frequency signals estimated as interference in the high-resolution interference map;
determining a frequency channel to be used for communication based on the high-resolution interference map and the interference type information;
In generating a high-resolution interference map by increasing the resolution of the input interference map,
When generating the high-resolution interference map by increasing the resolution of the interference map by super-resolution using a machine learning model, performing processing based on the method of generating the interference map using the high-resolution interference map as learning data. to generate a low-resolution interference map, use the generated low-resolution interference map as an input for a machine learning model, and use the high-resolution interference map as the learning data used to generate the low-resolution interference map as a label. , learned to minimize the error function computed by the output of the machine learning model and the label,
is performed by the frequency control device. a first step in which the resolution enhancement processing unit performs resolution enhancement on the input interference map to generate a high resolution interference map;
An interference type estimation unit estimates an interference type based on the high-resolution interference map, and generates interference type information indicating the type of interference of the time and frequency signals estimated to be interference in the high-resolution interference map. a step of
a third step in which a frequency control unit determines a frequency channel to be used for communication based on the high-resolution interference map and the interference type information;
including
In the first step, the high-resolution processing unit increases the resolution of the interference map by super-resolution using a machine learning model to generate the high-resolution interference map. A low-resolution interference map is generated by performing processing based on the interference map generation method using the map, and the generated low-resolution interference map is input to a machine learning model for generating the low-resolution interference map. learning to minimize the error function calculated by the output of the machine learning model and the label, using the high-resolution interference map as the learning data used as the label;
A frequency control method characterized by:

Images