CN108124283A - A kind of radio frequency data transmission method and system - Google Patents

A kind of radio frequency data transmission method and system Download PDF

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Publication number
CN108124283A
CN108124283A CN201611080980.6A CN201611080980A CN108124283A CN 108124283 A CN108124283 A CN 108124283A CN 201611080980 A CN201611080980 A CN 201611080980A CN 108124283 A CN108124283 A CN 108124283A
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radio frequency
data
frequency data
matrix
original radio
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陈泳伊
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Wuxi China Resources Semico Co Ltd
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Wuxi China Resources Semico Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information

Abstract

The invention discloses a kind of radio frequency data transmission method and system, wherein, the radio frequency data transmission method includes：Obtain original radio frequency data to be sent；Utilize the principal component of the original radio frequency data acquisition original radio frequency data；Principal component structure projection matrix based on the original radio frequency data；Based on the projection matrix original radio frequency data are carried out with dimensionality reduction compression to obtain by the compressed rf data of dimensionality reduction；It sends the projection matrix and passes through the compressed rf data of dimensionality reduction；Based on the projection matrix and pass through the compressed rf data Reverse reconstruction original radio frequency data of dimensionality reduction.The present invention after carrying out dimensionality reduction compression to High-dimensional Linear rf data using principal component analytical method sends on the premise of radio frequency data transmission mechanism is not changed, and realizes the Reverse reconstruction of original radio frequency data again.The present invention has been obviously improved the efficiency of transmission of High-dimensional Linear rf data.

Description

A kind of radio frequency data transmission method and system
Technical field
The present invention relates to field of data transmission, especially a kind of radio frequency data transmission method and system.
Background technology
Sensing technology and intelligence manufacture rapidly develop, and accelerate the transition and upgrading of traditional manufacture.Radio frequency (RF) technology Industrially there is preliminary application, especially showed on industrial data acquisition system especially prominent.When batch data is adopted After collection, local data base is resent to after sending information to gateway by radio frequency.Because whole process uses real-time Transmission, institute Congestion and delay can be caused by being gathered excessive data with the short time and being transmitted, and with industrial products acquisition information characteristic point and Characteristic quantity persistently increases, this phenomenon can be more and more apparent.
Compared with the data transmission rate of WIFI (Mbps) and GSM (Kbps), the transmission rate of the RF of common 433MHz is then It can only achieve bps, it is meant that progress linear data, the delivery time of particularly High-dimensional Linear data are longer.It is well known that higher-dimension Linear data is made of multiple features or variable, such as 2-D data is made of two variables.In many cases, form high There are linear dependence between each variable of dimensional linear data, and when linearly related between two variables, then the two become The information of amount reflection has certain overlapping, that is to say, that there are noise or redundancies in data.Therefore, data biography is being carried out During defeated and processing, it is necessary to use some data processing methods that High-dimensional Linear data are carried out with dimensionality reduction to reduce the number of variable, The final compression realized to data.
Principal component analysis (PCA) method is a kind of side for multiple variables being melted by dimensionality reduction technology a few principal component Method, these principal components can reflect most information of original variable, they are typically expressed as the linear combination of original variable. At present, principal component analytical method is gradually known as a kind of data compression method of prevalence.
The present invention is to solve on the premise of radio frequency data transmission mechanism is not changed, using principal component analysis method pair It is sent again after the progress dimensionality reduction compression of High-dimensional Linear rf data, and passes through reverse operation to realize the reverse weight of rf data Structure.
The content of the invention
For above-mentioned technical problem, one aspect of the present invention provides a kind of radio frequency data transmission method, particular technique side Case is as follows：
Obtain original radio frequency data to be sent；
Utilize the principal component of the original radio frequency data acquisition original radio frequency data；
Principal component structure projection matrix based on the original radio frequency data；
Based on the projection matrix original radio frequency data are carried out with dimensionality reduction compression to obtain after overcompression dimensionality reduction Rf data；
It sends the projection matrix and passes through the compressed rf data of dimensionality reduction；
Based on the projection matrix and pass through the compressed rf data Reverse reconstruction original radio frequency data of dimensionality reduction.
Further, the step of principal component of the acquisition original radio frequency data includes：
The original radio frequency data of the predetermined number of acquisition are converted into the original radio frequency data matrix of n × p, are denoted as：
Wherein, n >=2, p >= 2,Each row of representing matrix, XjEach row of representing matrix, the often row of the original radio frequency data matrix is a dimension For the original radio frequency data of p；
Obtain the original radio frequency data matrix Xn×pCovariance matrix, the covariance matrix is：
Wherein：
To the covariance matrix Sp×pIt is decomposed, to obtain its eigenvectors matrix and eigenvalue matrix, wherein, institute State Sp×pCovariance matrix decomposition expression formula it is as follows：
Wherein：
λ1、λ2、...、λp-1、λpIt is covariance matrix Sp×pCharacteristic value, and meet λ1≥λ2≥...≥λp-1≥λp； Ap×p=[A1 A2...Ap-1 Ap] it is characterized vector matrix, A1、A2、…、Ap-1、ApIt is characterized value λ1、λ2、…、λp-1、λpIt is corresponding Feature vector is the column vector that length is p, then the corresponding accumulation contribution rate of preceding i characteristic value is
The threshold value of accumulation contribution rate is set as Thr, then the eigenvalue λ in the range of selected threshold1、λ2、...、λrCorresponding Feature vector A1、A2、...、ArAs the principal component of the original radio frequency data, i.e.,：Per (r) >=Thr, Per (r-1)≤Thr.
Further, the projection matrix is：ACp×r=[A1 A2...Ar], wherein：A1、A2、...、ArIt is characterized value λ1、 λ2、...、λrCorresponding feature vector；It is described to be by the compressed rf data of dimensionality reduction：
Wherein：It represents Each row of principal component matrix.
Further, the Reverse reconstruction original radio frequency data are：
Wherein, it is describedFor the projection matrix ACp×kTransposition.
On the other hand, the present invention also provides a kind of radio frequency data transmission system, specific technical solution is as follows：
A kind of radio frequency data transmission system, it is characterised in that：It includes：Rf data transmitting terminal and rf data receive End, wherein：
The rf data transmitting terminal includes rf data acquiring unit, control unit, rf data storage unit, radio frequency Data compression unit and rf data transmitting element, wherein：The rf data acquiring unit is in the control of described control unit Lower reception original radio frequency data, and send original radio frequency data to described control unit；Described control unit will receive Original radio frequency data are sent to the rf data storage unit and are stored, when rf data memory cell storage When original radio frequency data reach predetermined quantity, described control unit controls the predetermined number that the frequency data storage cell is stored The original radio frequency data of amount are sent to the rf data compression unit；The rf data compression unit is based on described original penetrate Frequency to the original radio frequency data after generation projection matrix according to dimensionality reduction compression is carried out, and by the projection matrix and by dimensionality reduction Compressed rf data is sent to the rf data transmitting element；The rf data transmitting element sends the projection square Battle array and by the compressed rf data of dimensionality reduction to the rf data receiving terminal；
The rf data receiving terminal includes rf data receiving unit and rf data decompression unit, wherein：It is described Rf data receiving unit is used to receive the projection matrix of the rf data transmitting element transmission and be compressed by dimensionality reduction Rf data afterwards；The rf data decompression unit is used for Reverse reconstruction original radio frequency data.
Further, the rf data compression unit includes principal component acquiring unit, projection matrix acquiring unit and drop Compression unit is tieed up, wherein：
The principal component acquiring unit is used to obtain the principal component of original radio frequency data；
The projection matrix acquiring unit is used to build projection matrix；
The dimensionality reduction compression unit is used to compress original radio frequency data progress dimensionality reduction compression by dimensionality reduction to obtain Rf data afterwards.
Further, the step of principal component of the principal component acquiring unit acquisition original radio frequency data includes：
The original radio frequency data of the predetermined number (being denoted as n) of acquisition are converted to the original radio frequency data square of n × p Battle array, is denoted as：
Wherein, n >=2, p >= 2,Each row of representing matrix, XjEach row of representing matrix, the often row of the original radio frequency data matrix is a dimension For the original radio frequency data of p；
Obtain the original radio frequency data matrix Xn×pCovariance matrix, the covariance matrix is：
Wherein：
To the covariance matrix Sp×pIt is decomposed, to obtain its eigenvectors matrix and eigenvalue matrix, wherein, institute State Sp×pCovariance matrix decomposition expression formula it is as follows：
Wherein：
λ1、λ2、...、λp-1、λpIt is covariance matrix Sp×pCharacteristic value, and meet λ1≥λ2≥... ≥λp-1≥λp； Ap×p=[A1 A2...Ap-1 Ap] it is characterized vector matrix, A1、A2、…、Ap-1、ApIt is characterized value λ1、λ2、...、λp-1、λpIt is corresponding Feature vector, be length be p column vector, then preceding i characteristic value it is corresponding accumulate contribution rate be
The threshold value of accumulation contribution rate is set as Thr, then the eigenvalue λ in the range of selected threshold1、λ2、...、λrCorresponding Feature vector A1、A2、...、ArAs the principal component of the original radio frequency data, i.e.,：Per (r) >=Thr, Per (r-1)≤Thr.
Further, the projection matrix of the projection matrix acquiring unit 204b structures is：
ACp×r=[A1 A2...Ar], wherein：A1、A2、...、ArIt is characterized value λ1、λ2、...、λrCorresponding feature vector；
Further, the dimensionality reduction compression unit 204c acquisitions is by the compressed rf data of dimensionality reduction：
Wherein：It represents Each row of principal component matrix.
Further, the Reverse reconstruction original radio frequency data of the acquisition of rf data decompression unit 302 are：
Wherein, it is describedFor the projection matrix ACp×kTransposition.
The present invention penetrates High-dimensional Linear on the premise of radio frequency data transmission mechanism is not changed, using principal component analytical method Frequency and realizes the Reverse reconstruction of original radio frequency data according to being sent again after carrying out dimensionality reduction compression.The present invention is obviously improved The efficiency of transmission of High-dimensional Linear rf data.
Description of the drawings
Fig. 1 is a kind of flow chart of radio frequency data transmission method proposed by the present invention；
Fig. 2 is a kind of system architecture diagram of radio frequency data transmission system proposed by the present invention；
Fig. 3 is the structure diagram of the rf data compression unit in Fig. 2；
Fig. 4 is a kind of hardware structure diagram of radio frequency data transmission system proposed by the present invention in one embodiment.
Specific embodiment
The description with certain particularity detailed enough has been carried out to the present invention above.Ordinary skill in fields Personnel are it should be understood that the description in embodiment was merely exemplary, before without departing from true spirit and scope of the present invention Put make it is all change should all belong to the scope of protection of the present invention.Scope of the present invention is by the power It is that sharp claim is defined rather than limited by the foregoing description in embodiment.
As shown in Figure 1, it is a kind of flow chart of radio frequency data transmission method proposed by the present invention.Including：
Step 101：Obtain original radio frequency data to be sent；
Step 102：Utilize the principal component of the original radio frequency data acquisition original radio frequency data；
Step 103：Principal component structure projection matrix based on the original radio frequency data；
Step 104：Based on the projection matrix original radio frequency data are carried out with dimensionality reduction compression to obtain by dimensionality reduction Compressed rf data；
Step 105：It sends the projection matrix and passes through the compressed rf data of dimensionality reduction；
Step 106：Based on projection matrix and pass through the compressed rf data Reverse reconstruction original radio frequency data of dimensionality reduction.
Due between the variable of the original radio frequency data to be sent of acquisition there may be linear correlation, thus original radio frequency There are substantial amounts of noise or redundancy in data, technical solution provided by the invention the original radio frequency data are carried out it is main into Analysis is then based on main component and builds projection matrix to described original to select the main component maximum to information content contribution Rf data is sent after carrying out dimensionality reduction compression；Reception is terminated to after the compressed rf data of dimensionality reduction and inversely weighed Structure is to keep the feature of original radio frequency data.
The volume of transmitted data of rf data can be greatly lowered in technical scheme, so as to promote rf data Efficiency of transmission.
The step 102 specifically includes：
First, rf data described in the n items of acquisition is converted to the rf data matrix of n × p, is denoted as：
Wherein,It represents Each row of matrix, XjEach row of representing matrix, the often row of the rf data matrix are the rf data that a dimension is p, That is every rf data includes p variable.
In other embodiments, since the unit of p variable of rf data differs, in order to make principal component analysis Each variable can be equably treated, it is necessary to which place is normalized to rf data matrix before principal component analysis is carried out For reason to eliminate influence of the unit difference of feature to principal component analysis effect, the normalized processing procedure is data processing The conventional technical means in field is no longer described in detail in this specification.
Then, the rf data matrix X is obtainedn×pCovariance matrix, the covariance matrix is：
Wherein：
Then, to the covariance matrix Sp×pIt is decomposed, to obtain its eigenvectors matrix and eigenvalue matrix, In, the Sp×pCovariance matrix decomposition expression formula it is as follows：
Wherein：
λ1、λ2、...、λp-1、λpIt is covariance matrix Sp×pCharacteristic value, and meet λ1≥λ2≥...≥λp-1≥λp, Ap×p=[A1 A2...Ap-1 Ap] it is characterized vector matrix, A1、A2、…、Ap-1、ApIt is characterized value λ1、λ2、...、λp-1、λpIt is corresponding Feature vector, be length be p column vector, then preceding i characteristic value it is corresponding accumulate contribution rate be
The threshold value of accumulation contribution rate is set as Thr, in the present embodiment, Thr takes 90%, then the feature in the range of selected threshold Value λ1、λ2、…、λrCorresponding feature vector is as the rf data matrix Xn×pPrincipal component, wherein：Per(r)≥ 90%, Per (r-1) 90%.
In the present embodiment, the projection matrix that the step 103 is built is：ACp×r=[A1 A2 ... Ar], wherein：A1、 A2、...、ArIt is characterized value λ1、λ2、…、λrCorresponding feature vector.
In the present embodiment, what the step 104 obtained is by the compressed rf data of dimensionality reduction：
Wherein：It represents Each row of principal component matrix.
In the present embodiment, the step 106 Reverse reconstruction rf data is：Its In, it is describedFor the projection matrix ACp×kTransposition.
If as it can be seen that compressing without dimensionality reduction, and directly transmitting original radio frequency data, then need to transmit n items one by one successively Dimension is the original radio frequency data of pNeed that the data volume transmitted is larger, transmission efficiency is low； And after the radio frequency data transmission method of the present invention is used to carry out dimensionality reduction compression, then it is r (r only to need n dimension of transmission<Penetrating p) Frequency evidenceIt significantly reduces volume of transmitted data, improves the transmission of rf data Efficiency.
As shown in Fig. 2, it is a kind of system block diagram of radio frequency data transmission system proposed by the present invention.Including：
Rf data transmitting terminal 200 and rf data receiving terminal 300, wherein：
The rf data transmitting terminal 200 includes rf data acquiring unit 201, control unit 202, rf data storage Unit 203, rf data compression unit 204 and rf data transmitting element 205, wherein：The rf data acquiring unit 201 Original radio frequency data are received under the control of described control unit 202, and send original radio frequency data to described control unit 202；The original radio frequency data received are sent to the rf data storage unit 203 and deposited by described control unit 202 Storage, when the original radio frequency data of 203 memory storage of rf data storage unit reach predetermined quantity, described control unit control The original radio frequency data for making the predetermined quantity that the frequency data storage cell 203 is stored are sent to the rf data compression Unit 204；The rf data compression unit 204 original is penetrated after being based on original radio frequency data generation projection matrix to described Frequency is sent to the radio frequency number according to progress dimensionality reduction compression, and by the projection matrix and by the compressed rf data of dimensionality reduction According to transmitting element 205；The rf data transmitting element 205 sends the projection matrix and passes through the compressed radio frequency number of dimensionality reduction According to the extremely rf data receiving terminal 300；
The rf data receiving terminal 300 includes rf data receiving unit 301 and rf data decompression unit 302, Wherein：The rf data receiving unit 301 is used to receive the projection matrix that the rf data transmitting element 205 is sent And pass through the compressed rf data of dimensionality reduction；The rf data decompression unit is for reconstruct original radio frequency data of driving in the wrong direction.
As shown in figure 3, the rf data compression unit 204 includes principal component acquiring unit 204a, projection matrix obtains Unit 204b and dimensionality reduction compression unit 204c, wherein：The principal component acquiring unit 204a is used to obtain original radio frequency data Principal component；The projection matrix acquiring unit 204b is used to build projection matrix；The dimensionality reduction compression unit 204c is used for institute It states original radio frequency data and carries out dimensionality reduction compression to obtain by the compressed rf data of dimensionality reduction.
Specifically, the principal component acquiring unit 204a, projection matrix acquiring unit 204b and dimensionality reduction compression unit 204c Data processing step correspond to step 102, step 103 and the step 104 of foregoing radio frequency data transmission method, herein not It repeats again.
In a specific embodiment, as shown in figure 4, a kind of data transmission terminal of radio frequency data transmission system of the present invention 200 rf data acquiring unit 201 uses multiple selector, and control unit 202 uses the microcontroller of model STM32, Rf data storage unit 203 uses SRAM static RAMs, and rf data compression unit 204 uses digital signal Processor (DSP), rf data transmitting element 205 use general RF rf data transmission chips.
The multiple selector can realize the parallel acquisition of data, can improve the picking rate of original radio frequency data； STM32 microcontrollers have high-performance, the significant advantage of low-power consumption, and it includes abundant peripheral hardware pins, are very suitable for extensive Data signal transmission and demand for control, in addition STM32 microcontrollers have more than the piece internal storage capacity of 32k.
Due to the data access speed of the STM32 microcontrollers and the SRAM static RAMs exist compared with Big difference, in the present embodiment, as shown in figure 4, between the STM32 microcontrollers and the SRAM static RAMs The latch that signal is 74HC573 is in series with, the latch is static for the synchronous STM32 microcontrollers and the SRAM Random access memory.
The digital signal processor (DSP) has the function of abundant embedded programming, to the digital signal It manages device (DSP) and carries out embedded programming, can conveniently realize that principal component of the present invention obtains, projection matrix obtains and drop The rf datas processing steps such as dimension compression.The present invention is not defined the concrete model of DSP, can basis in practical application It needs to carry out type selecting.
The description with certain particularity detailed enough has been carried out to the present invention above.Ordinary skill in fields Personnel are it should be understood that the description in embodiment was merely exemplary, before without departing from true spirit and scope of the present invention Put make it is all change should all belong to the scope of protection of the present invention.Scope of the present invention is by the power It is that sharp claim is defined rather than limited by the foregoing description in embodiment.

Claims (10)

  1. A kind of 1. radio frequency data transmission method, it is characterised in that：It includes the following steps：
    Obtain original radio frequency data to be sent；
    Utilize the principal component of the original radio frequency data acquisition original radio frequency data；
    Principal component structure projection matrix based on the original radio frequency data；
    Based on the projection matrix original radio frequency data are carried out with dimensionality reduction compression to obtain the radio frequency after overcompression dimensionality reduction Data；
    It sends the projection matrix and passes through the compressed rf data of dimensionality reduction；
    Based on the projection matrix and pass through the compressed rf data Reverse reconstruction original radio frequency data of dimensionality reduction.
  2. 2. radio frequency data transmission method as described in claim 1, it is characterised in that：It is described obtain original radio frequency data it is main into The step of dividing includes：
    The original radio frequency data of the predetermined number of acquisition are converted into the original radio frequency data matrix of n × p, are denoted as：
    Wherein, n >=2, p >=2,Each row of representing matrix, XjEach row of representing matrix, the often row of the original radio frequency data matrix is that a dimension is p Original radio frequency data；
    Obtain the original radio frequency data matrix Xn×pCovariance matrix, the covariance matrix is：
    Wherein：
    To the covariance matrix Sp×pIt is decomposed, to obtain its eigenvectors matrix and eigenvalue matrix, wherein, the Sp×p Covariance matrix decomposition expression formula it is as follows：
    Wherein：
    λ1、λ2、...、λp-1、λpIt is covariance matrix Sp×pCharacteristic value, and meet λ1≥λ2≥...≥λp-1≥λp；Ap×p= [A1 A2...Ap-1 Ap] it is characterized vector matrix, A1、A2、…、Ap-1、ApIt is characterized value λ1、λ2、...、λp-1、λpCorresponding feature Vector is the column vector that length is p, then the corresponding accumulation contribution rate of preceding i characteristic value is
    The threshold value of accumulation contribution rate is set as Thr, then the eigenvalue λ in the range of selected threshold1、λ2、...、λrCorresponding feature Vectorial A1、A2、...、ArAs the principal component of the original radio frequency data, i.e.,：Per (r) >=Thr, Per (r-1) >=Thr.
  3. 3. radio frequency data transmission method as claimed in claim 2, it is characterised in that：
    The projection matrix is：ACp×r=[A1 A2 ... Ar], wherein：A1、A2、...、ArIt is characterized value λ1、λ2、...、λrIt is right The feature vector answered；
    It is described to be by the compressed rf data of dimensionality reduction：
    Wherein：Represent it is main into Each row of sub-matrix.
  4. 4. radio frequency data transmission method as claimed in claim 3, it is characterised in that：The Reverse reconstruction original radio frequency data For：
    Wherein, it is describedFor the projection matrix ACp×kTransposition.
  5. 5. a kind of radio frequency data transmission system, it is characterised in that：It includes：Rf data transmitting terminal and rf data receiving terminal, Wherein：
    The rf data transmitting terminal includes rf data acquiring unit, control unit, rf data storage unit, rf data Compression unit and rf data transmitting element, wherein：
    The rf data acquiring unit receives original radio frequency data under the control of described control unit, and by original radio frequency number According to sending described control unit to；The original radio frequency data received are sent to the rf data and stored by described control unit Unit is stored, when the original radio frequency data of rf data memory cell storage reach predetermined quantity, the control The original radio frequency data for the predetermined quantity that the unit control processed frequency data storage cell is stored are sent to the radio frequency number According to compression unit；The rf data compression unit original is penetrated after being based on original radio frequency data generation projection matrix to described Frequency is sent to the radio frequency number according to progress dimensionality reduction compression, and by the projection matrix and by the compressed rf data of dimensionality reduction According to transmitting element；The rf data transmitting element sends the projection matrix and by the compressed rf data of dimensionality reduction to institute State rf data receiving terminal；
    The rf data receiving terminal includes rf data receiving unit and rf data decompression unit, wherein：
    The rf data receiving unit is used to receive the projection matrix and the process that the rf data transmitting element is sent The compressed rf data of dimensionality reduction；The rf data decompression unit is used for Reverse reconstruction original radio frequency data.
  6. 6. radio frequency data transmission system as claimed in claim 5, it is characterised in that：The rf data compression unit includes master Ingredient acquiring unit, projection matrix acquiring unit and dimensionality reduction compression unit, wherein：
    The principal component acquiring unit is used to obtain the principal component of original radio frequency data；
    The projection matrix acquiring unit is used to build projection matrix；
    The dimensionality reduction compression unit is used for compressed by dimensionality reduction to obtain to original radio frequency data progress dimensionality reduction compression Rf data.
  7. 7. radio frequency data transmission system as claimed in claim 6, it is characterised in that：Described in the principal component acquiring unit obtains The step of principal component of original radio frequency data, includes：
    The original radio frequency data of the predetermined number of acquisition are converted into the original radio frequency data matrix of n × p, are denoted as：
    Wherein, n >=2, p >=2,Each row of representing matrix, XjEach row of representing matrix, the often row of the original radio frequency data matrix is that a dimension is p Original radio frequency data；
    Obtain the original radio frequency data matrix Xn×pCovariance matrix, the covariance matrix is：
    Wherein：
    To the covariance matrix Sp×pIt is decomposed, to obtain its eigenvectors matrix and eigenvalue matrix, wherein, the Sp×p Covariance matrix decomposition expression formula it is as follows：
    Wherein：
    λ1、λ2、...、λp-1、λpIt is covariance matrix Sp×pCharacteristic value, and meet λ1≥λ2≥...≥λp-1≥λp；Ap×p= [A1 A2 … Ap-1 Ap] it is characterized vector matrix, A1、A2、…、Ap-1、ApIt is characterized value λ1、λ2、...、λp-1、λpCorresponding spy Sign vector is the column vector that length is p, then the corresponding accumulation contribution rate of preceding i characteristic value is
    The threshold value of accumulation contribution rate is set as Thr, then the eigenvalue λ in the range of selected threshold1、λ2、...、λrCorresponding feature Vectorial A1、A2、...、ArAs the principal component of the original radio frequency data, i.e.,：Per (r) >=Thr, Per (r-1)≤Thr.
  8. 8. radio frequency data transmission system as claimed in claim 6, it is characterised in that：The projection matrix acquiring unit structure The projection matrix is：
    ACp×r=[A1 A2 ... Ar], wherein：A1、A2、...、ArIt is characterized value λ1、λ2、...、λrCorresponding feature vector.
  9. 9. radio frequency data transmission system as claimed in claim 6, it is characterised in that：The process that the dimensionality reduction compression unit obtains The compressed rf data of dimensionality reduction is：
    Wherein：Represent it is main into Each row of sub-matrix.
  10. 10. radio frequency data transmission system as claimed in claim 5, it is characterised in that：The rf data decompression unit obtains The Reverse reconstruction original radio frequency data taken are：
    Wherein, it is describedFor the projection matrix ACp×kTransposition.
CN201611080980.6A 2016-11-30 2016-11-30 A kind of radio frequency data transmission method and system Pending CN108124283A (en)

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Publication number Priority date Publication date Assignee Title
CN110856219A (en) * 2019-11-13 2020-02-28 维沃移动通信有限公司 Uplink data transmission method and device

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WO2016029853A1 (en) * 2014-08-26 2016-03-03 腾讯科技（深圳）有限公司 Identity authentication method, terminal device and system
CN105893331A (en) * 2016-03-28 2016-08-24 浙江工业大学 Principal component analysis algorithm based compression method for data on road traffic time series
CN106203316A (en) * 2016-07-04 2016-12-07 中国人民解放军电子工程学院 The communication radiation source fine feature extracting method embedded based on manifold and system

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Publication number Priority date Publication date Assignee Title
WO2016029853A1 (en) * 2014-08-26 2016-03-03 腾讯科技（深圳）有限公司 Identity authentication method, terminal device and system
CN105893331A (en) * 2016-03-28 2016-08-24 浙江工业大学 Principal component analysis algorithm based compression method for data on road traffic time series
CN106203316A (en) * 2016-07-04 2016-12-07 中国人民解放军电子工程学院 The communication radiation source fine feature extracting method embedded based on manifold and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110856219A (en) * 2019-11-13 2020-02-28 维沃移动通信有限公司 Uplink data transmission method and device
CN110856219B (en) * 2019-11-13 2023-07-07 维沃移动通信有限公司 Uplink data transmission method and device

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Application publication date: 20180605