CN116170319B - Power dual-mode communication bandwidth option determining method, device, terminal and storage medium - Google Patents
Power dual-mode communication bandwidth option determining method, device, terminal and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0896—Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H—ELECTRICITY
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- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/02—Terminal devices
- H04W88/06—Terminal devices adapted for operation in multiple networks or having at least two operational modes, e.g. multi-mode terminals
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention relates to the technical field of power dual-mode communication, in particular to a method, a device, a terminal and a storage medium for determining power dual-mode communication bandwidth options; then carrying out Fourier transform on the waveform data set according to the Fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option; then determining interval characteristic vectors of the plurality of frequency domain values according to the plurality of frequency domain values; finally, bandwidth options are determined from the interval characteristic vector. The embodiment of the invention is based on the waveform of the short training domain, adopts Fourier transformation to transform the frequency domain values corresponding to a plurality of frequency domain sequences, and extracts the interval characteristics of a plurality of sub-carriers non-zero values through interval characteristic analysis, thereby identifying whether the channel is an empty channel or not and adopting a bandwidth mode.
Description
Technical Field
The present invention relates to the field of power dual-mode communication technologies, and in particular, to a method, an apparatus, a terminal, and a storage medium for determining a bandwidth option of power dual-mode communication.
Background
A High-speed power line carrier (HPLC, high-Speed Power Line Communication, high-speed power line carrier), also referred to as a broadband power line carrier, is a broadband power line carrier technology for performing data transmission on a low-voltage power line, and is a communication network for realizing convergence, transmission and interaction of low-voltage power consumer electricity consumption. The broadband power line carrier mainly adopts an orthogonal frequency division multiplexing (OFDM, orthogonal Frequency Division Multiplexing) technology, and the frequency band is 2MHz-12MHz. Compared with the traditional low-speed narrow-band power line carrier technology, the high-speed power line carrier technology has large bandwidth and high transmission rate, and can meet the higher requirements of the low-voltage power line carrier communication.
However, with the increasingly popular application of the high-speed power line carrier, for example, the high-speed power line carrier mainly relies on the power line for communication, and when the power line fails, the communication is interrupted. Moreover, the application of the high-speed power line carrier at the present stage is mainly focused on the meter reading field, and is not good for the state monitoring support of equipment such as a multi-energy meter, a circuit breaker, a switch, a charging pile, a sensor, an intelligent box lock and the like.
The dual-mode technology formed by combining high-speed wireless communication (HRF, highspeed Radio Frequency) and high-speed power line carrier is the most critical communication technology in the future low-voltage network field, and the combination of the two can realize safe and reliable access network of the station equipment; panoramic monitoring and real-time sensing of power supply side, power grid side and load side equipment; make up for the disadvantages brought by the high-speed power line carrier. The high-speed wireless communication technology is a broadband carrier technology for data transmission in a wireless space, and adopts an orthogonal frequency division multiplexing technology as well, and the most commonly used communication frequency band supports 470 MHz-510 MHz at present.
High-speed wireless communication in the existing dual-mode communication technology generally provides multiple bandwidth options to adapt to different application scenarios, taking a mainstream scheme as an example, the scheme provides 3 bandwidth options: option1, option2, and Option3 establish a wireless communication link. Wherein, the Option1 bandwidth interval is 1MHz, the effective bandwidth is 0.8545MHz, and the channel center frequency point is 471MHz; the Option2 bandwidth interval is 0.5MHz, the effective bandwidth is 0.4313MHz, and the channel center frequency point is 470.5MHz; the Option3 bandwidth interval is 0.2MHz, the effective bandwidth is 0.1709MHz, and the channel center frequency point is 470.1MHz. Therefore, in the frequency band range of 470MHz to 510MHz, 39 channels will appear if the Option1 is adopted, 79 channels will appear if the Option2 is adopted, and 200 channels will appear if the Option3 is adopted, so that if the adopted channels and bandwidth options are determined by blind measurement, 318 times of detection are needed at most, and the detection efficiency is low.
Based on the above, a power dual-mode communication bandwidth option determination method needs to be developed and designed.
Disclosure of Invention
The embodiment of the invention provides a method, a device, a terminal and a storage medium for determining bandwidth options of power dual-mode communication, which are used for solving the problem that the bandwidth options in the prior art are not easy to determine.
In a first aspect, an embodiment of the present invention provides a method for determining a bandwidth option of power dual mode communication, including:
acquiring a waveform data set, wherein the waveform data set is obtained by sampling a target waveform based on the sampling rate of a target bandwidth option, the target bandwidth option is the bandwidth option with the largest frequency sequence among a plurality of bandwidth options, and the target waveform corresponds to a short training field in a physical layer protocol data unit frame;
performing Fourier transform on the waveform data set according to the Fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option;
determining interval characteristic vectors of the plurality of frequency domain values according to the plurality of frequency domain values, wherein the interval characteristic vectors represent characteristics of interval data volume between two adjacent identical or opposite values in the plurality of frequency domain values;
and determining a bandwidth option according to the interval characteristic vector.
In one possible implementation manner, the performing fourier transform on the waveform dataset according to the fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values corresponding to a plurality of frequency domain sequences of the target bandwidth option includes:
performing fourier transform on the waveform dataset according to a first formula according to the fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option, wherein the first formula is as follows:
in the method, in the process of the invention,
to correspond to->
Frequency domain values of the individual frequency domain sequences,/->
For Fourier transform points, ++>
Is the +.>
Data of->
Is natural constant (18)>
Is imaginary unit, ++>
Is the fundamental frequency domain.
In one possible implementation manner, the determining the interval characteristic vector of the plurality of frequency domain values according to the plurality of frequency domain values includes:
acquiring a plurality of interval values of a frequency domain sequence corresponding to a plurality of bandwidth option short training domains;
for each interval value of the plurality of interval values, performing the steps of:
initializing a data extraction instruction;
vector extraction: respectively extracting a plurality of data from the waveform data set to form a first vector to be processed and a second vector to be processed according to the position indicated by the data extraction and the forward position, wherein the forward position is determined based on the sum of the data extraction indication and an interval value, and the number of elements in the first vector to be processed and the second vector to be processed is smaller than the interval value;
extracting a relation value representing the relation between the first to-be-processed vector and the second to-be-processed vector according to the first to-be-processed vector and the second to-be-processed vector;
adding the relationship value into the relationship data set;
if the last element of the second vector to be processed is the last element of the waveform data set, determining an interval characteristic value according to the relation data set, and adding the interval characteristic value into an interval characteristic vector;
otherwise, the data extraction instruction is shifted by one position and jumps to the vector extraction step.
In one possible implementation manner, the extracting, according to the first to-be-processed vector and the second to-be-processed vector, a relationship value characterizing a relationship between the first to-be-processed vector and the second to-be-processed vector includes:
extracting a relation value representing the relation between the first to-be-processed vector and the second to-be-processed vector according to a second formula, wherein the second formula is as follows:
in the method, in the process of the invention,
for the relation value->
Is the +.o. of the first vector to be processed>
The number of elements to be added to the composition,
is the +.o of the second pending vector>
Element(s)>
The total number of elements for the first vector to be processed.
In one possible implementation, the determining an interval feature value according to the relationship data set includes:
calculating an average value of a plurality of relationship values in the relationship data set;
determining the interval characteristic value according to a third formula, the average value and the relation data set, wherein the third formula is as follows:
in the method, in the process of the invention,
for interval characteristic value, ++>
For the total number of relationship values in the relationship dataset, +.>
For the total number of relation values in the relation dataset that are larger than the average, +.>
Is->
A relationship value greater than the average value.
In one possible implementation manner, the determining a bandwidth option according to the interval characteristic vector includes:
sequencing the bandwidth options according to the interval value of the frequency domain sequence of the short training domain to obtain bandwidth option arrangement;
taking the total number of elements larger than the interval characteristic threshold value in the interval characteristic vector as a retrieval value according to the interval characteristic vector and the interval characteristic threshold value;
and determining bandwidth options according to the search value and the bandwidth option arrangement.
In one possible implementation manner, the interval characteristic threshold is 0.5, the bandwidth option arrangement is arranged from large to small according to an interval value of a frequency domain sequence of a short training domain, and the determining the bandwidth option according to the search value and the bandwidth option arrangement includes:
determining bandwidth options according to a fourth formula, the search value and the bandwidth option arrangement, wherein the fourth formula is as follows:
in the method, in the process of the invention,
for a certain bandwidth option->
For bandwidthItem->
A bandwidth option->
For retrieving values +.>
The present channel is a null channel.
In a second aspect, an embodiment of the present invention provides a power dual-mode communication bandwidth option determining apparatus, configured to implement the power dual-mode communication bandwidth option determining method according to the first aspect or any one of the possible implementation manners of the first aspect, where the power dual-mode communication bandwidth option determining apparatus includes:
the waveform data acquisition module is used for acquiring a waveform data set, wherein the waveform data set is obtained by sampling a target waveform based on the sampling rate of a target bandwidth option, the target bandwidth option is the bandwidth option with the largest frequency sequence among a plurality of bandwidth options, and the target waveform corresponds to a short training field in a physical layer protocol data unit frame;
the waveform transformation module is used for carrying out Fourier transformation on the waveform data set according to the Fourier transformation points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option;
the interval characteristic extraction module is used for determining interval characteristic vectors of the plurality of frequency domain values according to the plurality of frequency domain values, wherein the interval characteristic vectors represent the characteristics of interval data quantity between two adjacent identical or opposite numerical values in the plurality of frequency domain values;
the method comprises the steps of,
and the bandwidth option determining module is used for determining bandwidth options according to the interval characteristic vector.
In a third aspect, an embodiment of the present invention provides a terminal, including a memory and a processor, where the memory stores a computer program executable on the processor, and where the processor implements the steps of the method according to the first aspect or any one of the possible implementations of the first aspect when the processor executes the computer program.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method as described above in the first aspect or any one of the possible implementations of the first aspect.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
firstly, acquiring a waveform data set, wherein the waveform data set is obtained by sampling a target waveform based on the sampling rate of a target bandwidth option, the target bandwidth option is the bandwidth option with the most frequency sequences in a plurality of bandwidth options, and the target waveform corresponds to a short training field in a physical layer protocol data unit frame; then, carrying out Fourier transform on the waveform data set according to the Fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option; then, determining interval characteristic vectors of the plurality of frequency domain values according to the plurality of frequency domain values, wherein the interval characteristic vectors characterize the characteristics of interval data amounts between two adjacent identical or opposite numerical values in the plurality of frequency domain values; and finally, determining the bandwidth option according to the interval characteristic vector. The embodiment of the invention is based on waveforms of a short training domain, adopts Fourier transformation, transforms frequency domain values corresponding to a plurality of frequency domain sequences, extracts interval characteristics of a plurality of sub-carriers non-zero values through interval characteristic analysis, thereby identifying whether the channel is an empty channel or not and adopting a bandwidth mode, only needs to scan 40 channels under extreme conditions, and determines a target channel through 4 times of detection when a bandwidth Option is Option3, namely 44 times at most.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for determining a power dual mode communication bandwidth option provided by an embodiment of the present invention;
FIG. 2 is a topology of a dual mode communication network provided by an embodiment of the present invention;
FIG. 3 is a plot of frequency domain sequence values for a short training field for a second bandwidth option provided by an embodiment of the present invention;
FIG. 4 is a plot of frequency domain sequence values of a short training field for a third bandwidth option provided by an embodiment of the present invention;
FIG. 5 is a functional block diagram of a dual power communication bandwidth option determination device provided by an embodiment of the present invention;
fig. 6 is a functional block diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the following description will be made with reference to the accompanying drawings.
The following describes in detail the embodiments of the present invention, and the present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation procedure are given, but the protection scope of the present invention is not limited to the following embodiments.
Fig. 1 is a flowchart of a method for determining a power dual mode communication bandwidth option according to an embodiment of the present invention.
As shown in fig. 1, a flowchart of an implementation of the method for determining a power dual-mode communication bandwidth option according to an embodiment of the present invention is shown, and the details are as follows:
in step 101, a waveform data set is obtained, where the waveform data set is obtained by sampling a target waveform based on a sampling rate of a target bandwidth option, the target bandwidth option being a bandwidth option with a largest frequency sequence among a plurality of bandwidth options, and the target waveform corresponding to a short training field in a physical layer protocol data unit frame.
In step 102, fourier transforming the waveform dataset according to the fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values corresponding to a plurality of frequency domain sequences of the target bandwidth option.
In some embodiments, the step 102 includes:
performing fourier transform on the waveform dataset according to a first formula according to the fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option, wherein the first formula is as follows:
in the method, in the process of the invention,
to correspond to->
Frequency domain values of the individual frequency domain sequences,/->
For Fourier transform points, ++>
Is the +.>
Data of->
Is natural constant (18)>
Is imaginary unit, ++>
Is the fundamental frequency domain.
Illustratively, as shown in fig. 2, which illustrates a typical dual-mode communication network topology, the dual-mode communication network generally forms a tree network with CCO (Central Coordinator ) as a center, PCO (Proxy Coordinator, proxy coordinator) as a relay proxy (e.g., single-phase table dual-mode communication unit, three-phase table dual-mode communication unit, type I collector dual-mode communication unit, dual-mode type II collector) connecting all STAs (stations), the topology of the typical dual-mode communication network is shown in fig. 2, the solid line is a high-speed power line carrier path (HPLC), and the dotted line is a high-speed wireless communication path (HRF).
In a dual-mode communication network, in a communication path employing high-speed wireless communication, a CCO generally determines a communication frequency band and a bandwidth option of the entire network, and PCOs and STAs joining the network need to first find the frequency band and the bandwidth option of the high-speed wireless communication of the entire network, and then can establish a communication link with a communication destination. As mentioned before, the combination of channels and bandwidth options is up to several hundred due to the bandwidth options and frequency bands, and the process of joining the network is relatively lengthy if blind.
However, different bandwidth options, which are periodic sequences with different characteristics under different bandwidth options, take as an example the short training field (STF, short Training Field) in the physical layer protocol data unit frame (PPDU, presentation Protocol Data Unit).
In practice, the period of the short training field is determined based on interpolation of the multiple subcarriers in the frequency domain. We need to perform a time-domain to frequency-domain transformation on the waveform when capturing the waveform corresponding to the short training domain in the phy pdu frame.
However, since the number of subcarriers of different bandwidth options is different, the sampling rate is also different, and according to shannon's theorem, the sampling rate should be at least twice the frequency of the waveform to be sampled, so as to ensure that the recovered waveform frequency is not distorted.
Since the target bandwidth option has the most frequency domain sequences and the period of the short training field is determined based on the interpolation of the plurality of subcarriers in the frequency domain as described above, the waveform data needs to be fourier transformed to obtain the frequency domain values corresponding to the plurality of frequency domain sequences, and since the frequency domain sequences of the target bandwidth option are the most, the transformation should be performed based on the frequency domain sequences of the target bandwidth option, and the embodiment of the invention applies the first formula to perform:
in the method, in the process of the invention,
to correspond to->
Frequency domain values of the individual frequency domain sequences,/->
For Fourier transform points, ++>
Is the +.>
Data of->
Is natural constant (18)>
Is imaginary unit, ++>
Is the fundamental frequency domain.
In step 103, a separation characteristic vector of the plurality of frequency domain values is determined according to the plurality of frequency domain values, wherein the separation characteristic vector characterizes a separation data amount between two adjacent identical or opposite values in the plurality of frequency domain values.
In some embodiments, the step 103 includes:
acquiring a plurality of interval values of a frequency domain sequence corresponding to a plurality of bandwidth option short training domains;
for each interval value of the plurality of interval values, performing the steps of:
initializing a data extraction instruction;
vector extraction: respectively extracting a plurality of data from the waveform data set to form a first vector to be processed and a second vector to be processed according to the position indicated by the data extraction and the forward position, wherein the forward position is determined based on the sum of the data extraction indication and an interval value, and the number of elements in the first vector to be processed and the second vector to be processed is smaller than the interval value;
extracting a relation value representing the relation between the first to-be-processed vector and the second to-be-processed vector according to the first to-be-processed vector and the second to-be-processed vector;
adding the relationship value into the relationship data set;
if the last element of the second vector to be processed is the last element of the waveform data set, determining an interval characteristic value according to the relation data set, and adding the interval characteristic value into an interval characteristic vector;
otherwise, the data extraction instruction is shifted by one position and jumps to the vector extraction step.
In some implementations, the extracting a relationship value characterizing the first and second vectors to be processed from the first and second vectors to be processed includes:
extracting a relation value representing the relation between the first to-be-processed vector and the second to-be-processed vector according to a second formula, wherein the second formula is as follows:
in the method, in the process of the invention,
for the relation value->
Is the +.o. of the first vector to be processed>
The number of elements to be added to the composition,
is the +.o of the second pending vector>
Element(s)>
The total number of elements for the first vector to be processed.
In some embodiments, the determining interval feature values from the relational dataset comprises:
calculating an average value of a plurality of relationship values in the relationship data set;
determining the interval characteristic value according to a third formula, the average value and the relation data set, wherein the third formula is as follows:
in the method, in the process of the invention,
for interval characteristic value, ++>
For the total number of relationship values in the relationship dataset, +.>
For the total number of relation values in the relation dataset that are larger than the average, +.>
Is->
A relationship value greater than the average value.
Illustratively, as shown in fig. 3, the diagram shows a plot of frequency domain sequence values of a short training domain for a second bandwidth option of a mainstream high-speed wireless communication scheme (the frequency domain sequences of the bandwidth option are 64 in total, and the non-illustrated portion is replaced with an ellipsis). In contrast, fig. 4 shows a plot of frequency domain sequence values of the short training domain for the third bandwidth option of the mainstream high-speed wireless communication scheme (the total frequency domain sequences of the bandwidth options is 32, since the number of frequency domain sequences of the short training domain for the first bandwidth option is up to 128, the comparison principle is the same as the comparison principle of the frequency domain sequence values of the short training domain for the second bandwidth option and the third bandwidth option, and therefore the plot is not shown any more)
In both figures, each dot 301 is located at a frequency where a subcarrier is located, and when a specific subcarrier is normalized by a normalization factor, a value of 1 or-1 is displayed at the frequency point, as indicated by an arrow, a non-zero value 302 is displayed. As can be seen by comparing the two figures, the non-zero values 302 in the frequency domain sequence values of the two bandwidth options each exhibit a spacing characteristic, and the spacing characteristic relates to the bandwidth options, for the second bandwidth option, every second subcarrier will exhibit a subcarrier of the non-zero value 302, and for the third bandwidth option, every second subcarrier will exhibit a subcarrier of the non-zero value 302.
Based on this we can extract the interval characteristics to determine the bandwidth option.
One method of extraction is to construct one vector based on the values of a plurality of consecutive subcarriers, then apply different interval values (e.g., the two intervals or one interval described above), construct another vector from the values of the plurality of consecutive subcarriers using the same method, extract the relationship value of the two vectors using a formula expressed as:
in the method, in the process of the invention,
for the relation value->
Is the +.o. of the first vector to be processed>
The number of elements to be added to the composition,
is the +.o of the second pending vector>
Element(s)>
The total number of elements for the first vector to be processed.
After the relation value is obtained, the relation value is added into the relation data set corresponding to the interval value, then synchronous slippage is carried out on the two vectors, the relation value is calculated by utilizing the formula until the values of the plurality of subcarriers all participate in the calculation of the formula, and at the moment, one relation data set with a plurality of relation values is obtained.
In practice, the whole relational data set exhibits interval characteristics, and when the interval value applied conforms to the interval characteristics of the values of the plurality of subcarriers, the relational value of most of the data sets is larger, and conversely smaller.
The method comprises the steps of firstly determining the average value of a relational data set, and then extracting interval characteristic values by using a third formula:
in the method, in the process of the invention,
for interval characteristic value, ++>
For the total number of relationship values in the relationship dataset, +.>
For the total number of relation values in the relation dataset that are larger than the average, +.>
Is->
A relationship value greater than the average value.
And adding the interval characteristic values corresponding to the different interval values into the interval characteristic vector according to a preset sequence, so as to construct an interval characteristic vector.
In step 104, bandwidth options are determined from the interval characteristic vector.
In some embodiments, the step 104 includes:
sequencing the bandwidth options according to the interval value of the frequency domain sequence of the short training domain to obtain bandwidth option arrangement;
taking the total number of elements larger than the interval characteristic threshold value in the interval characteristic vector as a retrieval value according to the interval characteristic vector and the interval characteristic threshold value;
and determining bandwidth options according to the search value and the bandwidth option arrangement.
In some embodiments, the interval characteristic threshold is 0.5, the bandwidth option arrangement is arranged from large to small according to an interval value of a frequency domain sequence of a short training domain, and the determining the bandwidth option according to the search value and the bandwidth option arrangement includes:
determining bandwidth options according to a fourth formula, the search value and the bandwidth option arrangement, wherein the fourth formula is as follows:
in the method, in the process of the invention,
for a certain bandwidth option->
Is the +.>
A bandwidth option->
For retrieving values +.>
The present channel is a null channel.
Illustratively, for determining bandwidth option aspects from the interval feature vector, in one embodiment, the plurality of bandwidth options are ordered by interval value of the frequency domain sequence of the short training fields, e.g., arranged by interval value from large to small. And determining the total number of elements larger than the interval characteristic threshold according to the interval characteristic vector, wherein the interval characteristic threshold is 0.5 in an application scene, the total number can be used as a retrieval value, and bandwidth options are selected from the arrangement, for example, a fourth formula is applied in the application scene:
in the method, in the process of the invention,
for a certain bandwidth option->
Is the +.>
A bandwidth option->
For retrieving values +.>
The present channel is a null channel.
Firstly, acquiring a waveform data set, wherein the waveform data set is obtained by sampling a target waveform based on the sampling rate of a target bandwidth option, the target bandwidth option is the bandwidth option with the most frequency sequences in a plurality of bandwidth options, and the target waveform corresponds to a short training field in a physical layer protocol data unit frame; then, carrying out Fourier transform on the waveform data set according to the Fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option; then, determining interval characteristic vectors of the plurality of frequency domain values according to the plurality of frequency domain values, wherein the interval characteristic vectors characterize the characteristics of interval data amounts between two adjacent identical or opposite numerical values in the plurality of frequency domain values; and finally, determining the bandwidth option according to the interval characteristic vector. The embodiment of the invention is based on waveforms of a short training domain, adopts Fourier transformation, transforms frequency domain values corresponding to a plurality of frequency domain sequences, extracts interval characteristics of a plurality of sub-carriers non-zero values through interval characteristic analysis, thereby identifying whether the channel is an empty channel or not and adopting a bandwidth mode, only needs to scan 40 channels under extreme conditions, and determines a target channel through 4 times of detection when a bandwidth Option is Option3, namely 44 times at most.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
The following are device embodiments of the invention, for details not described in detail therein, reference may be made to the corresponding method embodiments described above.
Fig. 5 is a functional block diagram of a power dual-mode communication bandwidth option determining apparatus according to an embodiment of the present invention, and referring to fig. 5, the power dual-mode communication bandwidth option determining apparatus includes: a waveform data acquisition module 501, a waveform transformation module 502, an interval characteristic extraction module 503, and a bandwidth option determination module 504, wherein:
a waveform data acquisition module 501, configured to acquire a waveform data set, where the waveform data set is obtained by sampling a target waveform based on a sampling rate of a target bandwidth option, the target bandwidth option is a bandwidth option with a maximum frequency sequence among a plurality of bandwidth options, and the target waveform corresponds to a short training field in a physical layer protocol data unit frame;
the waveform transformation module 502 is configured to perform fourier transformation on the waveform dataset according to the fourier transformation points of the target bandwidth option, and obtain a plurality of frequency domain values corresponding to a plurality of frequency domain sequences of the target bandwidth option;
an interval characteristic extraction module 503, configured to determine an interval characteristic vector of the plurality of frequency domain values according to the plurality of frequency domain values, where the interval characteristic vector characterizes an interval data amount between two adjacent identical or opposite values in the plurality of frequency domain values;
a bandwidth option determining module 504, configured to determine a bandwidth option according to the interval characteristic vector.
Fig. 6 is a functional block diagram of a terminal according to an embodiment of the present invention. As shown in fig. 6, the terminal 6 of this embodiment includes: a processor 600 and a memory 601, said memory 601 having stored therein a computer program 602 executable on said processor 600. The processor 600, when executing the computer program 602, implements the steps of the above-described method and embodiment for determining the bandwidth option of dual-mode communication for each power, for example, steps 101 to 104 shown in fig. 1.
Illustratively, the computer program 602 may be partitioned into one or more modules/units that are stored in the memory 601 and executed by the processor 600 to accomplish the present invention.
The terminal 6 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The terminal 6 may include, but is not limited to, a processor 600, a memory 601. It will be appreciated by those skilled in the art that fig. 6 is merely an example of the terminal 6 and is not limiting of the terminal 6, and may include more or fewer components than shown, or may combine some components, or different components, e.g., the terminal 6 may also include input and output devices, network access devices, buses, etc.
The processor 600 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 601 may be an internal storage unit of the terminal 6, such as a hard disk or a memory of the terminal 6. The memory 601 may be an external storage device of the terminal 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the terminal 6. Further, the memory 601 may also include both an internal storage unit and an external storage device of the terminal 6. The memory 601 is used for storing the computer program 602 and other programs and data required by the terminal 6. The memory 601 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, and will not be described herein again.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and the details or descriptions of other embodiments may be referred to for those parts of an embodiment that are not described in detail or are described in detail.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other manners. For example, the apparatus/terminal embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on this understanding, the present invention may also be implemented by implementing all or part of the procedures in the methods of the above embodiments, or by instructing the relevant hardware by a computer program, where the computer program may be stored in a computer readable storage medium, and the computer program may be implemented by implementing the steps of the embodiments of the methods and apparatuses described above when executed by a processor. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limited thereto; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and they should be included in the protection scope of the present invention.
Claims (6)
1. A method for determining a power dual mode communication bandwidth option, comprising:
acquiring a waveform data set, wherein the waveform data set is obtained by sampling a target waveform based on the sampling rate of a target bandwidth option, the target bandwidth option is the bandwidth option with the largest frequency sequence among a plurality of bandwidth options, and the target waveform corresponds to a short training field in a physical layer protocol data unit frame;
performing Fourier transform on the waveform data set according to the Fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option;
determining interval characteristic vectors of the plurality of frequency domain values according to the plurality of frequency domain values, wherein the interval characteristic vectors represent characteristics of interval data volume between two adjacent identical or opposite values in the plurality of frequency domain values;
determining a bandwidth option according to the interval characteristic vector;
the determining the interval characteristic vector of the plurality of frequency domain values according to the plurality of frequency domain values includes:
acquiring a plurality of interval values of a frequency domain sequence corresponding to a plurality of bandwidth option short training domains;
for each interval value of the plurality of interval values, performing the steps of:
initializing a data extraction instruction;
vector extraction: respectively extracting a plurality of data from the plurality of frequency domain values to form a first vector to be processed and a second vector to be processed according to the position indicated by the data extraction and the forward position, wherein the forward position is determined based on the sum of the data extraction indication and an interval value, and the number of elements in the first vector to be processed and the second vector to be processed is smaller than the interval value;
extracting a relation value representing the relation between the first to-be-processed vector and the second to-be-processed vector according to the first to-be-processed vector and the second to-be-processed vector;
adding the relationship value into the relationship data set;
if the last element of the second vector to be processed is the last element of the waveform data set, determining an interval characteristic value according to the relation data set, and adding the interval characteristic value into an interval characteristic vector;
otherwise, shifting the data extraction instruction by one position and jumping to the vector extraction step;
the extracting, according to the first to-be-processed vector and the second to-be-processed vector, a relation value characterizing a relation between the first to-be-processed vector and the second to-be-processed vector, includes:
extracting a relation value representing the relation between the first to-be-processed vector and the second to-be-processed vector according to a second formula, wherein the second formula is as follows:
in the method, in the process of the invention,
is closed toTying value (I/O)>
Is the +.o. of the first vector to be processed>
Element(s)>
Is the +.o of the second pending vector>
Element(s)>
The total number of elements for the first vector to be processed;
the determining an interval characteristic value according to the relation data set comprises the following steps:
calculating an average value of a plurality of relationship values in the relationship data set;
determining the interval characteristic value according to a third formula, the average value and the relation data set, wherein the third formula is as follows:
in the method, in the process of the invention,
for interval characteristic value, ++>
For the total number of relationship values in the relationship dataset, +.>
For the total number of relation values in the relation dataset that are larger than the average, +.>
Is->
A relationship value greater than the average value;
the determining the bandwidth option according to the interval characteristic vector comprises the following steps:
sequencing the bandwidth options according to the interval value of the frequency domain sequence of the short training domain to obtain bandwidth option arrangement;
taking the total number of elements larger than the interval characteristic threshold value in the interval characteristic vector as a retrieval value according to the interval characteristic vector and the interval characteristic threshold value;
and determining bandwidth options according to the search value and the bandwidth option arrangement.
2. The method for determining a bandwidth option for power dual mode communication according to claim 1, wherein fourier transforming the waveform dataset according to the number of fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values corresponding to a plurality of frequency domain sequences of the target bandwidth option, comprises:
performing fourier transform on the waveform dataset according to a first formula according to the fourier transform points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option, wherein the first formula is as follows:
in the method, in the process of the invention,
to correspond to->
Frequency domain values of the individual frequency domain sequences,/->
For Fourier transform points, ++>
Is the +.>
Data of->
Is natural constant (18)>
Is imaginary unit, ++>
Is the fundamental frequency domain.
3. The method for determining bandwidth options for power dual mode communication according to claim 1, wherein the interval characteristic threshold is 0.5, the bandwidth option arrangement is arranged according to an interval value of a frequency domain sequence of a short training domain from large to small, and the determining the bandwidth options according to the search value and the bandwidth option arrangement comprises:
determining bandwidth options according to a fourth formula, the search value and the bandwidth option arrangement, wherein the fourth formula is as follows:
in the method, in the process of the invention,
for a certain bandwidth option->
Is the +.>
Bandwidth of eachOption (S)>
For retrieving values +.>
The present channel is a null channel.
4. A power dual mode communication bandwidth option determination apparatus for implementing the power dual mode communication bandwidth option determination method according to any one of claims 1 to 3, the power dual mode communication bandwidth option determination apparatus comprising:
the waveform data acquisition module is used for acquiring a waveform data set, wherein the waveform data set is obtained by sampling a target waveform based on the sampling rate of a target bandwidth option, the target bandwidth option is the bandwidth option with the largest frequency sequence among a plurality of bandwidth options, and the target waveform corresponds to a short training field in a physical layer protocol data unit frame;
the waveform transformation module is used for carrying out Fourier transformation on the waveform data set according to the Fourier transformation points of the target bandwidth option to obtain a plurality of frequency domain values of a plurality of frequency domain sequences corresponding to the target bandwidth option;
the interval characteristic extraction module is used for determining interval characteristic vectors of the plurality of frequency domain values according to the plurality of frequency domain values, wherein the interval characteristic vectors represent the characteristics of interval data quantity between two adjacent identical or opposite numerical values in the plurality of frequency domain values;
the method comprises the steps of,
and the bandwidth option determining module is used for determining bandwidth options according to the interval characteristic vector.
5. A terminal comprising a memory and a processor, the memory having stored therein a computer program executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the method according to any of the preceding claims 1 to 3.
6. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any of the preceding claims 1 to 3.
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