CN107317596A - A kind of digital radio wayside control system based on internet - Google Patents
A kind of digital radio wayside control system based on internet Download PDFInfo
- Publication number
- CN107317596A CN107317596A CN201710440420.5A CN201710440420A CN107317596A CN 107317596 A CN107317596 A CN 107317596A CN 201710440420 A CN201710440420 A CN 201710440420A CN 107317596 A CN107317596 A CN 107317596A
- Authority
- CN
- China
- Prior art keywords
- signal
- mrow
- msub
- mtd
- mover
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/38—Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
- H04B1/40—Circuits
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/06—Receivers
- H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
- H04B1/1018—Means associated with receiver for limiting or suppressing noise or interference noise filters connected between the power supply and the receiver
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
- H04L63/0442—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply asymmetric encryption, i.e. different keys for encryption and decryption
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/06—Network architectures or network communication protocols for network security for supporting key management in a packet data network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
Abstract
The present invention relates to a kind of digital radio wayside control system based on internet, including with input unit wired connection, for the single-chip microcomputer analyzed communication instruction and handled；With single-chip microcomputer wired connection, the signal discriminator differentiated for the radiofrequency signal to reception；With single-chip microcomputer wired connection, the signal processor analyzed and processed for the radiofrequency signal to reception；With single-chip microcomputer wired connection, the filtration module for eliminating interference signal；With single-chip microcomputer by GPRS wireless network wireless connections, for carrying out data transmission the Cloud Server with exchanging；With single-chip microcomputer by GPRS wireless network wireless connections, the external equipment for telecommunication.The present invention carries out telecommunication using Internet technology, while service data, transmitting and the information received and interference radiofrequency signal are effectively stored, make it that communication is more accurate using signal discriminator, signal processor and filtration module.
Description
Technical field
The invention belongs to wireless communication technology field, more particularly to a kind of digital radio circuit based on internet
Control system.
Background technology
With the fast development of society and science and technology, digital radio technology puts into rapidly multiple application fields
In.
But had the following disadvantages in traditional digital wireless communication wayside control system：One be can not be to the radio frequency of reception
Signal effectively handle and analyze, and causes the radio frequency number in one section of wave band can be transferred through so that communication instruction is by one
Fixed interference；Two be the interference by that can be produced by electronic component in circuit system, causes the accuracy of system not enough；Three are
The radiofrequency signal of interference can not effectively be stored, cause the efficiency of system operation to lower significantly, be required for carrying out signal every time
Discriminating and processing.
The content of the invention
The present invention is disturbed to solve existing communication instruction, built-in system by electromagnetic interference and inefficiency,
The low technical problem of intelligence degree and a kind of digital radio wayside control system based on internet is provided.
The present invention is adopted the technical scheme that to solve technical problem present in known technology：
The digital radio wayside control system based on internet that the present invention is provided, it is described to be somebody's turn to do based on internet
Digital radio wayside control system includes：
The input unit instructed for input communication；The input unit is received by built-in signal receiving module and communicated
The discrete signal vector of instruction simultaneously carries out nonlinear transformation and obtains unitary transformation matrixWhereinA represents the amplitude of signal, and a (,) represents the symbol of signal,
P (t) represents shaping function, fcThe carrier frequency of signal is represented,Represent the phase of signal；According in the unitary transformation matrix
The elements in a main diagonal and counter-diagonal element calculate receive signal energy feature spectrum, i.e., by counter-diagonal element group
Into matrix carry out square and be multiplied by the elements in a main diagonal composition matrix, obtain receive signal energy feature spectrum；From described
Decision plane is obtained in energy feature spectrum, encircled energy, waveform symmetry and the partial waveform composed according to the energy feature
Function variance extracts at least one set of characteristic vector from energy feature spectrum；From the feature of extraction in the way of pattern classification
The characteristic vector as decision plane is obtained in vector；The discrete signal vector for receiving signal is adopted by Nyquist law
Sample is obtained, and sampling length covers the predetermined ratio energy for receiving signal；
Before decision plane is obtained from energy feature spectrum, energy feature spectrum need to be carried out at moving average
Reason；The method that characteristic vector is extracted from energy feature spectrum is specifically included：1) signal is obtained：Filled by signal receiving module
The sensor gathered data matched somebody with somebody simultaneously is amplified processing to signal；2) signal carries out segment processing：Extracted i.e. in every segment signal
Go out average, variance, the accumulated value of signal and the basic time domain parameter of peak value four, pass through the difference of four parameter values of adjacent segment signal
Value determines whether that the first layer decision-making that doubtful wrong situation occurs judges：Step 3 is down performed if having) wavelet packet goes
Make an uproar, no person jumps to execution and obtains signal；3) wavelet packet denoising：Denoising is carried out to the signal of collection using improving Wavelet Packet Algorithm；
4) WAVELET PACKET DECOMPOSITION and reconstruct：I.e. using signal progress WAVELET PACKET DECOMPOSITION and reconstruct of the Wavelet Packet Algorithm to collection is improved, list is obtained
Subband reconstruction signal；5) signal characteristic parameter is extracted；Extracted i.e. in the list band signal of reconstruct：Time domain energy, time domain peak, frequency
Domain energy, frequency domain peak value, coefficient of kurtosis, variance, the parameter of eight expression signal characteristics of frequency spectrum and coefficient skewness；6) composition characteristic
Vector：Principal component analytical method is utilized, Binding experiment analysis selects three to eight substantially expression sound can send out from above-mentioned parameter
The parameter composition characteristic vector of signal characteristic is penetrated, and these characteristic vectors are input to SVMs and carries out decision-making judgement, i.e.,
Second layer decision-making judges, wrong generation is judged whether according to the output of SVMs；The wavelet packet denoising and small echo
Bag decomposition and reconstruction includes：(1) signals extension, horizontal parabola continuation is entered to each layer signal of WAVELET PACKET DECOMPOSITION；(2) letter is set
Number be x (a), x (a+1), x (a+2), then continuation operator E expression formula be：
(3) list band un-necessary frequency composition is eliminated：By the signal after continuation with decomposing low pass filter h0Convolution, obtains low frequency coefficient,
Then by the processing of HF-cut-IF operators, remove unnecessary frequency content, then carry out down-sampling, obtain next layer of low frequency system
Number；By the signal after continuation with decomposing high-pass filter g0Convolution, obtains high frequency coefficient, then by LF-cut-IF operators at
Reason, removes unnecessary frequency content, then carries out down-sampling, obtains next layer of high frequency coefficient, and HF-cut-IF operators are usedLF-cut-IF operators are used,
Public with LF-cut-IF operator formula in HF-cut-IF operators, x (n) is 2jThe coefficient of wavelet packet, N on yardstickjRepresent 2j
The length of data on yardstick,K=0,1 ..., Nj-1；N=0,1 ..., Nj-1；
With input unit wired connection, for the single-chip microcomputer analyzed communication instruction and handled；The single-chip microcomputer is used
In normalization hybrid matrix column vector estimation time-frequency domain frequency hopping source signal, comprise the following steps that：
The first step, judges which moment index belongs to and jump, specific method is to all sampling instants index p：IfThen represent that moment p belongs to l jumps；IfThen represent that moment p belongs to the 1st
Jump, whereinL-th of frequency hopping moment estimation；
Second step, all moment p jumped to l (l=1,2 ...)l, estimate the time-frequency domain number of each frequency hopping source signal of the jump
According to calculation formula is as follows：
With single-chip microcomputer wired connection, the radio-frequency maser for launching and receiving radiofrequency signal；
With single-chip microcomputer wired connection, the signal discriminator differentiated for the radiofrequency signal to reception；
With single-chip microcomputer wired connection, the signal processor analyzed and processed for the radiofrequency signal to reception；
The method that the signal processor carries out inter-signal interference relationship analysis comprises the following steps：
Step one, some characteristic parameter CPs of the interference signal on wireless signal field, and feature based parameter shape are determined
Into corresponding interference space model, the interference space model based on foundation determines interference signal characteristic vector to be analyzedWith
Contrast signal characteristic vector
Step 2, based on interference space model, for interference signal characteristic vectorDefinition is to contrast signal characteristic vectorDisplacement vector
Step 3, defines displacement vectorIt is interference signal to the projection of some latitude coordinates axle in interference space
Characteristic vectorTo contrast signal characteristic vectorDistance in the CP dimensions, that is, have：
Wherein PRJ () operator representation is directed to the project of a certain CP dimensions；
Step 4, it is S to the disturbance state of contrast signal to define interference signal, to represent interference signal to contrast signal
Interference relationships；
Step 5, on the premise of interference has been formed, it is necessary first to choose and determine interference effect parameter EP, for dry
Disturb for signal, parameter is usually signal power p or energy e；
Step 6, it is G to the annoyance level of contrast signal to define interference signal, to weigh interference signal to contrast signal
Interference effect degree；
With single-chip microcomputer wired connection, the filtration module for eliminating interference signal；
With single-chip microcomputer wired connection, the display device for showing receive information；
With single-chip microcomputer by GPRS wireless network wireless connections, for carrying out data transmission the Cloud Server with exchanging；
With single-chip microcomputer by GPRS wireless network wireless connections, the external equipment for telecommunication.
Further, in addition to the power module with single-chip microcomputer wired connection, for providing power supply；Pacify in the display device
Equipped with warning lamp, warning lamp and single-chip microcomputer wired connection.
Further, obtaining list band reconstruction signal method includes：
Obtained high and low frequency coefficient is up-sampled, then respectively with high pass reconstruction filter g1With low-pass reconstruction filter
Ripple device h1Convolution, obtained signal is handled with HF-cut-IF, LF-cut-IF operator respectively, obtains list band reconstruction signal.
Further, the input unit also includes signal input module, the signal input module and signal acquisition module
Signal is connected；The signal input model of signal input module is expressed as：
R (t)=x1(t)+x2(t)+…+xn(t)+v(t)
Wherein, xi(t) it is each component of signal of the overlapping discrete signal of time-frequency, each component signal is independently uncorrelated, and n is
The number of the overlapping discrete signal component of time-frequency, θkiRepresent the modulation to each component of signal carrier phase, fciFor carrier frequency
Rate, AkiIt is i-th of signal in the amplitude at k moment, TstFor Baud Length, pi(t) it is raised cosine shaping filter that rolloff-factor is α
Function, andN (t) is that average is 0, and variance is σ2Stationary white Gaussian noise.
Further, the external equipment is provided with mobile terminal；The mobile terminal includes：
Network data download module, for being downloaded from carrier server by the Network authentication data and net after public key encryption
Network configuration data；
Cipher key store, for storing the private key matched with the public key of the carrier server；
Operator database, for storing Network authentication data and network configuration data；
The network number being connected respectively with the cipher key store, the operator database and the network data download module
According to authentication module, for obtain in the cipher key store with the private key corresponding to the public key, after the private key pair encryption
Network authentication data and network configuration data are decrypted, and the Network authentication data after decryption and network configuration data are carried out
Network authentication data and network configuration data are stored in operator database by certification, certification after.
Further, described mobile terminal also includes：
The authentication module being connected with the operator database, for being reflected using the network in the operator database
Flexible strategy are according to completion authentication request；
The network selection module being connected with the operator database, for setting Network authentication data and network configuration
Data；
The order being connected respectively with the network data download module, the authentication module and the network selection module
Explanation module, sends to corresponding functional module for explaining the order from the mobile terminal, and by the order after explanation
It is interior；The interface communication module being connected with the command interpretation module, for being communicated with the mobile terminal.
The present invention has the advantages and positive effects of：The digital radio wayside control system based on internet
Telecommunication is carried out using Internet technology, while service data and the information of transmitting and reception are effectively stored, profit
Make it that communication is more accurate with signal discriminator, signal processor and filtration module.
The signal inputting method and signal acceptance method of input unit of the present invention, fully ensured that receive signal it is accurate
Degree, the degree of accuracy than prior art improves 56%, improves 4%-6%.The external equipment of the present invention passes through mobile terminal
Safety certification and discriminating, have fully ensured that the communication security of the digital radio wayside control system based on internet.
Brief description of the drawings
Fig. 1 is the principle frame of the digital radio wayside control system provided in an embodiment of the present invention based on internet
Figure；
Fig. 2 is external equipment schematic diagram provided in an embodiment of the present invention.
In figure：1st, input unit；2nd, single-chip microcomputer；3rd, radio-frequency maser；4th, signal discriminator；5th, signal processor；6th, mould is filtered
Block；7th, display device；8th, Cloud Server；9th, external equipment；9-1, mobile terminal；9-1-1, network data download module；9-1-
2nd, cipher key store；9-1-3, operator database；9-1-4, network data authentication module；9-1-5, authentication module；9-1-6, network
Selecting module；9-1-7, command interpretation module；9-1-8, interface communication module；10th, power module.
Embodiment
In order to further understand the content, features and effects of the present invention, hereby enumerating following examples, and coordinate accompanying drawing
Describe in detail as follows.
The structure of the present invention is explained in detail with reference to Fig. 1.
The digital radio wayside control system based on internet includes：
The input unit 1 instructed for input communication；The input unit receives logical by built-in signal receiving module
Believe the discrete signal vector of instruction and carry out nonlinear transformation and obtain unitary transformation matrixIts
InA represents the amplitude of signal, and a (m) represents the code element symbol of signal
Number, p (t) represents shaping function, fcThe carrier frequency of signal is represented,The phase of signal is represented, according to the unitary transformation square
The elements in a main diagonal and counter-diagonal element in battle array calculate the energy feature spectrum for receiving signal；Counter-diagonal element is constituted
Matrix carry out square and be multiplied by the elements in a main diagonal composition matrix, obtain receive signal energy feature spectrum；From the energy
Decision plane is obtained in measure feature spectrum, encircled energy, waveform symmetry and the partial waveform letter composed according to the energy feature
Number variance extracts at least one set of characteristic vector from energy feature spectrum；In the way of pattern classification from the feature of extraction to
The characteristic vector as decision plane is obtained in amount；The discrete signal vector for receiving signal is sampled by Nyquist law
Obtain, and sampling length covers the predetermined ratio energy for receiving signal；
Before decision plane is obtained from energy feature spectrum, energy feature spectrum need to be carried out at moving average
Reason；The eigenvector method of the extraction is specifically included：1) signal is obtained：The sensor assembled by signal receiving module is gathered
Data are simultaneously amplified processing to signal；2) signal carries out segment processing：Average, variance, letter are extracted in every segment signal
Number accumulated value and the basic time domain parameter of peak value four, determine whether to doubt by the difference of four parameter values of adjacent segment signal
Judge like the first layer decision-making that the situation of mistake occurs：Step wavelet packet denoising is down performed if having, no person jumps to execution and obtained
The number of winning the confidence；3) wavelet packet denoising：Denoising is carried out to the signal of collection using improving Wavelet Packet Algorithm；4) WAVELET PACKET DECOMPOSITION with again
Structure：I.e. using signal progress WAVELET PACKET DECOMPOSITION and reconstruct of the Wavelet Packet Algorithm to collection is improved, list band reconstruction signal is obtained；5)
Extract signal characteristic parameter；Extracted i.e. in the list band signal of reconstruct：Time domain energy, time domain peak, frequency domain energy, frequency domain peak
Value, coefficient of kurtosis, variance, the parameter of eight expression signal characteristics of frequency spectrum and coefficient skewness；6) composition characteristic vector：Utilize master
Component analyzing method, Binding experiment analysis, selection three to eight can substantially represent sound emission signal characteristic from above-mentioned parameter
Parameter constitutes characteristic vector, and these characteristic vectors are input into SVMs progress decision-making judgement, i.e. second layer decision-making is sentenced
It is disconnected, wrong generation is judged whether according to the output of SVMs；The wavelet packet denoising and WAVELET PACKET DECOMPOSITION are wrapped with reconstruct
Include：(1) signals extension, horizontal parabola continuation is entered to each layer signal of WAVELET PACKET DECOMPOSITION；(2) signal data is set as x (a), x (a+
1), x (a+2), then continuation operator E expression formula be：(3) list band is eliminated many
Remaining frequency content：By the signal after continuation with decomposing low pass filter h0Convolution, obtains low frequency coefficient, then by HF-cut-
The processing of IF operators, removes unnecessary frequency content, then carries out down-sampling, obtains next layer of low frequency coefficient；By continuation
Signal afterwards is with decomposing high-pass filter g0Convolution, obtains high frequency coefficient, then by the processing of LF-cut-IF operators, removes
Unnecessary frequency content, then down-sampling is carried out, next layer of high frequency coefficient is obtained, HF-cut-IF operators are usedLF-cut-IF operators are used,HF-cut-IF operators are public and LF-cut-IF operator formula in, x (n) be
2jThe coefficient of wavelet packet, N on yardstickjRepresent 2jThe length of data on yardstick,, k=0,1 ..., Nj-1；N=0,
1 ..., Nj-1；
With the wired connection of input unit 1, for the single-chip microcomputer 2 analyzed communication instruction and handled；
With the wired connection of single-chip microcomputer 2, the radio-frequency maser 3 for launching and receiving radiofrequency signal；
With the wired connection of single-chip microcomputer 2, the signal discriminator 4 differentiated for the radiofrequency signal to reception；
With the wired connection of single-chip microcomputer 2, the signal processor 5 analyzed and processed for the radiofrequency signal to reception；
With the wired connection of single-chip microcomputer 2, the filtration module 6 for eliminating interference signal；
With the wired connection of single-chip microcomputer 2, the display device 7 for showing receive information；
With single-chip microcomputer 2 by GPRS wireless network wireless connections, for carrying out data transmission the Cloud Server 8 with exchanging；
With single-chip microcomputer 2 by GPRS wireless network wireless connections, the external equipment 9 for telecommunication.
Further, the power module 10 and the wired connection of single-chip microcomputer 2, for providing power supply.
Further, warning lamp, warning lamp and the wired connection of single-chip microcomputer 2 are installed in the display device 7.
Obtaining list band reconstruction signal method includes：
Obtained high and low frequency coefficient is up-sampled, then respectively with high pass reconstruction filter g1With low-pass reconstruction filter
Ripple device h1Convolution, obtained signal is handled with HF-cut-IF, LF-cut-IF operator respectively, obtains list band reconstruction signal.
Further, the input unit also includes signal input module, the signal input module and signal acquisition module
Signal is connected；The signal input model of signal input module is expressed as：
R (t)=x1(t)+x2(t)+…+xn(t)+v(t)
Wherein, xi(t) it is each component of signal of the overlapping discrete signal of time-frequency, each component signal is independently uncorrelated, and n is
The number of the overlapping discrete signal component of time-frequency, θkiRepresent the modulation to each component of signal carrier phase, fciFor carrier frequency
Rate, AkiIt is i-th of signal in the amplitude at k moment, TsiFor Baud Length, pi(t) it is raised cosine shaping filter that rolloff-factor is α
Function, andN (t) is that average is 0, and variance is σ2Stationary white Gaussian noise.
The single-chip microcomputer normalization hybrid matrix column vector estimation time-frequency domain frequency hopping source signal, is comprised the following steps that：
The first step, judges which moment index belongs to and jump, specific method is to all sampling instants index p：IfThen represent that moment p belongs to l jumps；IfThen represent that moment p belongs to the 1st
Jump, whereinL-th of frequency hopping moment estimation；
Second step, all moment p jumped to l (l=1,2 ...)l, estimate the time-frequency domain number of each frequency hopping source signal of the jump
According to calculation formula is as follows：
The signal processor inter-signal interference relationship analysis method comprises the following steps：
Step one, some characteristic parameter CPs of the interference signal on wireless signal field, and feature based parameter shape are determined
Into corresponding interference space model, the interference space model based on foundation determines interference signal characteristic vector to be analyzedWith
Contrast signal characteristic vector
Step 2, based on interference space model, for interference signal characteristic vectorDefinition is to contrast signal characteristic vectorDisplacement vector
Step 3, defines displacement vectorIt is interference signal to the projection of some latitude coordinates axle in interference space
Characteristic vectorTo contrast signal characteristic vectorDistance in the CP dimensions, that is, have：
Wherein PRJ () operator representation is directed to the project of a certain CP dimensions；
Step 4, it is S to the disturbance state of contrast signal to define interference signal, to represent interference signal to contrast signal
Interference relationships；
Step 5, on the premise of interference has been formed, it is necessary first to choose and determine interference effect parameter EP, for dry
Disturb for signal, parameter is usually signal power p or energy e；
Step 6, it is G to the annoyance level of contrast signal to define interference signal, to weigh interference signal to contrast signal
Interference effect degree.
As shown in Fig. 2 the external equipment 9 is provided with mobile terminal 9-1；The mobile terminal includes：
Network data download module 9-1-1, for being downloaded from carrier server by the network authentication number after public key encryption
According to and network configuration data；
Cipher key store 9-1-2, for storing the private key matched with the public key of the carrier server；
Operator database 9-1-3, for storing Network authentication data and network configuration data；
The network number being connected respectively with the cipher key store, the operator database and the network data download module
According to authentication module 9-1-4, for obtain in the cipher key store with the private key corresponding to the public key, pass through the private key pair encryption
Network authentication data and network configuration data afterwards is decrypted, and to the Network authentication data and network configuration data after decryption
It is authenticated, Network authentication data and network configuration data are stored in shown operator database by certification after.
Further, described mobile terminal also includes：
The authentication module 9-1-5 being connected with the operator database, for using in the operator database
Network authentication data completes authentication request；
The network selection module 9-1-6 being connected with the operator database, for by setting the network authentication
Data and network configuration data；
The order being connected respectively with the network data download module, the authentication module and the network selection module
Explanation module 9-1-7, sends to corresponding function for explaining the order from the mobile terminal, and by the order after explanation
In module；
The interface communication module 9-1-8 being connected with the command interpretation module, for being led to the mobile terminal
Letter.
The structure of the present invention is further described with reference to operation principle.
By the inputting communication information of input unit 1, the transmitting radiofrequency signal of radio-frequency maser 3, single-chip microcomputer 2 will be logical by radio-frequency maser 3
Letter information is sent in another receiving terminal, and the radio-frequency maser 3 in another receiving terminal receives radiofrequency signal, single-chip microcomputer
2 are differentiated, analyzed and are handled using the radiofrequency signal of 5 pairs of receptions of signal discriminator 4 and signal processor, and export is effectively penetrated
Frequency signal, improves the accuracy of system communication, using the electromagnetic interference in the elimination system of filtration module 6, further improves system
The accuracy of communication, is carried out service data, transmitting and the information received and interference radiofrequency signal using Cloud Server 8 effective
Storage, improves the operational efficiency of system.
It is described above to be only the preferred embodiments of the present invention, any formal limitation not is made to the present invention,
Every technical spirit according to the present invention is belonged to any simple modification made for any of the above embodiments, equivalent variations and modification
In the range of technical solution of the present invention.
Claims (6)
1. a kind of digital radio wayside control system based on internet, it is characterised in that should the number based on internet
Word radio communication diagram control system includes：
The input unit instructed for input communication；The input unit receives communication instruction by built-in signal receiving module
Discrete signal vector and carry out nonlinear transformation and obtain unitary transformation matrixWhereinA represents the amplitude of signal, and a (m) represents the symbol of signal, p
(t) shaping function, f are representedcThe carrier frequency of signal is represented,Represent the phase of signal；According in the unitary transformation matrix
The elements in a main diagonal and counter-diagonal element calculate receive signal energy feature spectrum, by counter-diagonal element constitute
Matrix carry out square and be multiplied by the elements in a main diagonal composition matrix, obtain receive signal energy feature spectrum；From the energy
Decision plane is obtained in measure feature spectrum, encircled energy, waveform symmetry and the partial waveform letter composed according to the energy feature
Number variance extracts at least one set of characteristic vector from energy feature spectrum；In the way of pattern classification from the feature of extraction to
The characteristic vector as decision plane is obtained in amount；The discrete signal vector for receiving signal is sampled by Nyquist law
Obtain, and sampling length covers the predetermined ratio energy for receiving signal；
Before decision plane is obtained from energy feature spectrum, moving average processing need to be carried out to energy feature spectrum；
The method that characteristic vector is extracted from energy feature spectrum is specifically included：1) signal is obtained：Assembled by signal receiving module
Sensor gathered data and processing is amplified to signal；2) signal carries out segment processing：Extracted in every segment signal
Average, variance, the accumulated value of signal and the basic time domain parameter of peak value four, pass through the difference of four parameter values of adjacent segment signal
Determine whether that the first layer decision-making that doubtful wrong situation occurs judges：Step 3 is down performed if having) wavelet packet denoising,
No person, jumps to execution and obtains signal；3) wavelet packet denoising：Denoising is carried out to the signal of collection using improving Wavelet Packet Algorithm；
4) WAVELET PACKET DECOMPOSITION and reconstruct：I.e. using signal progress WAVELET PACKET DECOMPOSITION and reconstruct of the Wavelet Packet Algorithm to collection is improved, obtain
List band reconstruction signal；5) signal characteristic parameter is extracted；Extracted i.e. in the list band signal of reconstruct：Time domain energy, time domain peak
Value, frequency domain energy, frequency domain peak value, coefficient of kurtosis, variance, the parameter of eight expression signal characteristics of frequency spectrum and coefficient skewness；6) group
Into characteristic vector：Principal component analytical method is utilized, Binding experiment analysis selects the obvious table of three to eight energy from above-mentioned parameter
Show the parameter composition characteristic vector of sound emission signal characteristic, and these characteristic vectors are input to SVMs progress decision-making and sentence
Disconnected, i.e., second layer decision-making judges, wrong generation is judged whether according to the output of SVMs；The wavelet packet denoising and small
Ripple bag decomposition and reconstruction includes：(1) signals extension, horizontal parabola continuation is entered to each layer signal of WAVELET PACKET DECOMPOSITION；(2) signal is set
Data be x (a), x (a+1), x (a+2), then continuation operator E expression formula be：
(3) list band un-necessary frequency composition is eliminated：By the signal after continuation with decomposing low pass filter h0Convolution, obtains low frequency coefficient,
Then by the processing of HF-cut-IF operators, remove unnecessary frequency content, then carry out down-sampling, obtain next layer of low frequency system
Number；By the signal after continuation with decomposing high-pass filter g0Convolution, obtains high frequency coefficient, then by LF-cut-IF operators at
Reason, removes unnecessary frequency content, then carries out down-sampling, obtains next layer of high frequency coefficient, and HF-cut-IF operators are usedLF-cut-IF operators are used,
Public with LF-cut-IF operator formula in HF-cut-IF operators, x (n) is 2jThe coefficient of wavelet packet, N on yardstickjRepresent 2j
The length of data on yardstick,K=0,1 ..., Nj-1；N=0,1 ..., Nj-1；
With input unit wired connection, for the single-chip microcomputer analyzed communication instruction and handled；The single-chip microcomputer is used to return
One changes hybrid matrix column vector estimation time-frequency domain frequency hopping source signal, comprises the following steps that：
The first step, judges which moment index belongs to and jump, specific method is to all sampling instants index p：IfThen represent that moment p belongs to l jumps；IfThen represent that moment p belongs to the 1st
Jump, whereinL-th of frequency hopping moment estimation；
Second step, all moment p jumped to l (l=1,2 ...)l, estimate the time-frequency numeric field data of each frequency hopping source signal of the jump, count
Calculate formula as follows：
<mrow>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mover>
<mi>S</mi>
<mo>~</mo>
</mover>
<mi>j</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mi>l</mi>
</msub>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mo>|</mo>
<mo>|</mo>
<msub>
<mover>
<mi>a</mi>
<mo>^</mo>
</mover>
<mi>j</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>l</mi>
<mo>)</mo>
</mrow>
<mo>|</mo>
<msup>
<mo>|</mo>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>&CenterDot;</mo>
<msubsup>
<mover>
<mi>a</mi>
<mo>^</mo>
</mover>
<mi>j</mi>
<mi>H</mi>
</msubsup>
<mrow>
<mo>(</mo>
<mi>l</mi>
<mo>)</mo>
</mrow>
<mo>&times;</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mover>
<mi>X</mi>
<mo>~</mo>
</mover>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mi>l</mi>
</msub>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mover>
<mi>X</mi>
<mo>~</mo>
</mover>
<mn>2</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mi>l</mi>
</msub>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mover>
<mi>X</mi>
<mo>~</mo>
</mover>
<mi>M</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mi>l</mi>
</msub>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>j</mi>
<mo>=</mo>
<munder>
<mrow>
<mi>arg</mi>
<mi> </mi>
<mi>max</mi>
</mrow>
<mrow>
<msub>
<mi>j</mi>
<mn>0</mn>
</msub>
<mo>=</mo>
<mn>1</mn>
<mo>:</mo>
<mover>
<mi>N</mi>
<mo>^</mo>
</mover>
</mrow>
</munder>
<mrow>
<mo>(</mo>
<mo>|</mo>
<msup>
<mrow>
<mo>&lsqb;</mo>
<msub>
<mover>
<mi>X</mi>
<mo>~</mo>
</mover>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mi>l</mi>
</msub>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
<mo>,</mo>
<msub>
<mover>
<mi>X</mi>
<mo>~</mo>
</mover>
<mn>2</mn>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mi>l</mi>
</msub>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<msub>
<mover>
<mi>X</mi>
<mo>~</mo>
</mover>
<mi>M</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mi>l</mi>
</msub>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
</mrow>
<mi>H</mi>
</msup>
<mo>&times;</mo>
<msub>
<mover>
<mi>a</mi>
<mo>^</mo>
</mover>
<msub>
<mi>j</mi>
<mn>0</mn>
</msub>
</msub>
<mo>(</mo>
<mi>l</mi>
<mo>)</mo>
<mo>|</mo>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mover>
<mi>S</mi>
<mo>~</mo>
</mover>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>p</mi>
<mi>l</mi>
</msub>
<mo>,</mo>
<mi>q</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mn>0</mn>
<mo>,</mo>
<mi>m</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<mi>M</mi>
<mo>,</mo>
<mi>m</mi>
<mo>&NotEqual;</mo>
<mi>j</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>q</mi>
<mo>=</mo>
<mn>0</mn>
<mo>,</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>...</mn>
<mo>,</mo>
<msub>
<mi>N</mi>
<mrow>
<mi>f</mi>
<mi>f</mi>
<mi>t</mi>
</mrow>
</msub>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>;</mo>
</mrow>
With single-chip microcomputer wired connection, the radio-frequency maser for launching and receiving radiofrequency signal；
With single-chip microcomputer wired connection, the signal discriminator differentiated for the radiofrequency signal to reception；
With single-chip microcomputer wired connection, the signal processor analyzed and processed for the radiofrequency signal to reception；
The method that the signal processor carries out inter-signal interference relationship analysis comprises the following steps：
Step one, some characteristic parameter CPs of the interference signal on wireless signal field are determined, and feature based parameter is formed pair
The interference space model answered, the interference space model based on foundation determines interference signal characteristic vector to be analyzedWith reference
Character vector of signals
Step 2, based on interference space model, for interference signal characteristic vectorDefinition is to contrast signal characteristic vector's
Displacement vector
Step 3, defines displacement vectorIt is interference signal feature to the projection of some latitude coordinates axle in interference space
VectorTo contrast signal characteristic vectorDistance in the CP dimensions, that is, have：
Wherein PRJ () operator representation is directed to the project of a certain CP dimensions；
Step 4, it is S to the disturbance state of contrast signal to define interference signal, to represent that interference signal is done to contrast signal
Disturb relation；
<mrow>
<mi>S</mi>
<mrow>
<mo>(</mo>
<mover>
<msub>
<mi>V</mi>
<mi>I</mi>
</msub>
<mo>&RightArrow;</mo>
</mover>
<mo>,</mo>
<mover>
<msub>
<mi>V</mi>
<mi>S</mi>
</msub>
<mo>&RightArrow;</mo>
</mover>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mrow>
<mo>&Exists;</mo>
<msub>
<mi>CP</mi>
<mi>i</mi>
</msub>
<mo>,</mo>
<msub>
<mi>d</mi>
<mrow>
<msub>
<mi>CP</mi>
<mi>i</mi>
</msub>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mi>I</mi>
<mo>,</mo>
<mi>S</mi>
<mo>)</mo>
</mrow>
</mrow>
</msub>
<mo>&GreaterEqual;</mo>
<msub>
<mi>&Delta;</mi>
<mrow>
<msub>
<mi>CP</mi>
<mi>i</mi>
</msub>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mrow>
<mo>&ForAll;</mo>
<msub>
<mi>CP</mi>
<mi>i</mi>
</msub>
<mo>,</mo>
<msub>
<mi>d</mi>
<mrow>
<msub>
<mi>CP</mi>
<mi>i</mi>
</msub>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mi>I</mi>
<mo>,</mo>
<mi>S</mi>
<mo>)</mo>
</mrow>
</mrow>
</msub>
<mo><</mo>
<msub>
<mi>&Delta;</mi>
<mrow>
<msub>
<mi>CP</mi>
<mi>i</mi>
</msub>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>;</mo>
</mrow>
Step 5, on the premise of interference has been formed, it is necessary first to choose and determine interference effect parameter EP, believes for interference
For number, parameter is usually signal power p or energy e；
Step 6, it is G to the annoyance level of contrast signal to define interference signal, and contrast signal is done to weigh interference signal
Disturb influence degree；
With single-chip microcomputer wired connection, the filtration module for eliminating interference signal；
With single-chip microcomputer wired connection, the display device for showing receive information；
With single-chip microcomputer by GPRS wireless network wireless connections, for carrying out data transmission the Cloud Server with exchanging；
With single-chip microcomputer by GPRS wireless network wireless connections, the external equipment for telecommunication.
2. the digital radio wayside control system as claimed in claim 1 based on internet, it is characterised in that also wrap
The power module with single-chip microcomputer wired connection is included, for providing power supply；Warning lamp is installed in the display device, warning lamp with
Single-chip microcomputer wired connection.
3. the digital radio wayside control system as claimed in claim 1 based on internet, it is characterised in that obtain
List band reconstruction signal method includes：
Obtained high and low frequency coefficient is up-sampled, then respectively with high pass reconstruction filter g1With low-pass reconstruction filter h1
Convolution, obtained signal is handled with HF-cut-IF, LF-cut-IF operator respectively, obtains list band reconstruction signal.
4. the digital radio wayside control system as claimed in claim 1 based on internet, it is characterised in that described
Input unit also includes signal input module, and the signal input module is connected with signal acquisition module signal；Signal inputs mould
The signal input model of block is expressed as：
R (t)=x1(t)+x2(t)+…+xn(t)+v(t)
<mrow>
<msub>
<mi>x</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<munder>
<mo>&Sigma;</mo>
<mi>k</mi>
</munder>
<msub>
<mi>A</mi>
<mrow>
<mi>k</mi>
<mi>i</mi>
</mrow>
</msub>
<mi>c</mi>
<mi>o</mi>
<mi>s</mi>
<mrow>
<mo>(</mo>
<mn>2</mn>
<msub>
<mi>&pi;f</mi>
<mi>c</mi>
</msub>
<mi>t</mi>
<mo>+</mo>
<msub>
<mi>&theta;</mi>
<mrow>
<mi>k</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>-</mo>
<msub>
<mi>kT</mi>
<mrow>
<mi>s</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
</mrow>
Wherein, xi(t) it is each component of signal of the overlapping discrete signal of time-frequency, each component signal is independently uncorrelated, and n is time-frequency
The number of overlapping discrete signal component, θkiRepresent the modulation to each component of signal carrier phase, fciFor carrier frequency, Aki
It is i-th of signal in the amplitude at k moment, TsiFor Baud Length, pi(t) it is raised cosine shaping filter function that rolloff-factor is α,
AndN (t) is that average is 0, and variance is σ2Stationary white Gaussian noise.
5. the digital radio wayside control system as claimed in claim 1 based on internet, it is characterised in that described
External equipment is provided with mobile terminal；The mobile terminal includes：
Network data download module, is matched somebody with somebody for being downloaded from carrier server by the Network authentication data and network after public key encryption
Put data；
Cipher key store, for storing the private key matched with the public key of the carrier server；
Operator database, for storing Network authentication data and network configuration data；
The network data being connected respectively with the cipher key store, the operator database and the network data download module is recognized
Demonstrate,prove module, for obtain in the cipher key store with the private key corresponding to the public key, pass through the network after the private key pair encryption
Authorization data and network configuration data are decrypted, and the Network authentication data and network configuration data after decryption are recognized
Network authentication data and network configuration data are stored in operator database by card, certification after.
6. the digital radio wayside control system as claimed in claim 5 based on internet, it is characterised in that described
Mobile terminal also include：
The authentication module being connected with the operator database, for using the network authentication number in the operator database
According to completion authentication request；
The network selection module being connected with the operator database, for setting Network authentication data and network configuration number
According to；
The command interpretation being connected respectively with the network data download module, the authentication module and the network selection module
Module, sends to corresponding functional module for explaining the order from the mobile terminal, and by the order after explanation；With
The interface communication module that the command interpretation module is connected, for being communicated with the mobile terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710440420.5A CN107317596A (en) | 2017-06-05 | 2017-06-05 | A kind of digital radio wayside control system based on internet |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710440420.5A CN107317596A (en) | 2017-06-05 | 2017-06-05 | A kind of digital radio wayside control system based on internet |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107317596A true CN107317596A (en) | 2017-11-03 |
Family
ID=60183174
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710440420.5A Pending CN107317596A (en) | 2017-06-05 | 2017-06-05 | A kind of digital radio wayside control system based on internet |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107317596A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103079193A (en) * | 2013-01-07 | 2013-05-01 | 东信和平科技股份有限公司 | Cloud SIM (subscriber identity module) capable of freely downloading network data |
| CN105049141A (en) * | 2015-05-26 | 2015-11-11 | 西安电子科技大学 | Analysis method for interference relation among signals based on multidimensional interference space model |
| CN105978641A (en) * | 2016-04-28 | 2016-09-28 | 西安电子科技大学 | Method for estimating signal-to-noise ratio of time-frequency overlapped signals in cognitive radio |
| CN106355538A (en) * | 2016-08-26 | 2017-01-25 | 中国地质科学院探矿工艺研究所 | Collapse prevention and control engineering system |
| CN106359023A (en) * | 2016-09-13 | 2017-02-01 | 叶永伟 | Agricultural irrigation system based on internet of things |
| CN106657241A (en) * | 2016-10-19 | 2017-05-10 | 广东科学技术职业学院 | School bus monitoring device based on Internet-of-Things |
| CN106686006A (en) * | 2017-03-01 | 2017-05-17 | 湖南财政经济学院 | Big data implementation control system based on Internet network security |
-
2017
- 2017-06-05 CN CN201710440420.5A patent/CN107317596A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103079193A (en) * | 2013-01-07 | 2013-05-01 | 东信和平科技股份有限公司 | Cloud SIM (subscriber identity module) capable of freely downloading network data |
| CN105049141A (en) * | 2015-05-26 | 2015-11-11 | 西安电子科技大学 | Analysis method for interference relation among signals based on multidimensional interference space model |
| CN105978641A (en) * | 2016-04-28 | 2016-09-28 | 西安电子科技大学 | Method for estimating signal-to-noise ratio of time-frequency overlapped signals in cognitive radio |
| CN106355538A (en) * | 2016-08-26 | 2017-01-25 | 中国地质科学院探矿工艺研究所 | Collapse prevention and control engineering system |
| CN106359023A (en) * | 2016-09-13 | 2017-02-01 | 叶永伟 | Agricultural irrigation system based on internet of things |
| CN106657241A (en) * | 2016-10-19 | 2017-05-10 | 广东科学技术职业学院 | School bus monitoring device based on Internet-of-Things |
| CN106686006A (en) * | 2017-03-01 | 2017-05-17 | 湖南财政经济学院 | Big data implementation control system based on Internet network security |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107124381B (en) | Automatic identification method for digital communication signal modulation mode | |
| CN102661783B (en) | Characteristic extracting method for prediction of rotating mechanical failure trend | |
| CN102244548B (en) | Cooperative spectrum detection method, cooperative spectrum sensing apparatus and spectrum detection system | |
| CN104038296B (en) | A kind of cooperative spectrum detection method of cognitive radio networks | |
| CN101494508A (en) | Frequency spectrum detection method based on characteristic cyclic frequency | |
| WO2021103206A1 (en) | Machine learning algorithm-based wireless radio frequency device identity recognition method and system | |
| CN105187152A (en) | Combined interference method and system based on spectrum sensing and modulation identification | |
| CN107979842A (en) | A kind of mobile phone individual discrimination method based on bispectrum feature and deep learning | |
| CN107102593A (en) | A kind of intelligent remote video monitoring control system based on computer internet technology | |
| CN106533577A (en) | Non-Gaussian noise suppression method based on energy detection | |
| CN106027184A (en) | Link level to system level simulation interface method based on LTE-A | |
| CN101588191B (en) | Method and device for radio signal recognition | |
| CN106556760A (en) | A kind of automated test control system of the vehicle mounted multimedia based on cloud computing | |
| CN106548136A (en) | A kind of wireless channel scene classification method | |
| CN107870205A (en) | A kind of damage of composite materials detection detection method based on wavelet analysis | |
| CN104868962B (en) | Frequency spectrum detecting method and device based on compressed sensing | |
| CN107317596A (en) | A kind of digital radio wayside control system based on internet | |
| CN110301892A (en) | A kind of detection method and Related product based on hand vein recognition | |
| CN107579940A (en) | Multi-carrier communication algorithm based on inductively thermohaline depth chain multinode channel model | |
| CN107046670A (en) | A kind of headset detection system and control method | |
| CN105653839A (en) | Near field communication mobile medical service system | |
| CN107508825A (en) | A kind of Internet of Things intelligent appliance and the method and apparatus for having secure access to intelligent appliance | |
| CN112488092B (en) | Navigation frequency band signal type identification method and system based on deep neural network | |
| CN109142516A (en) | A kind of transformer oil state online evaluation method and device | |
| CN103581923B (en) | A kind of energy detection method based on weighting matrix filtering |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171103 |