CN1731693A - Multi-mode mobile communication terminal and its signal processing method - Google Patents
Multi-mode mobile communication terminal and its signal processing method Download PDFInfo
- Publication number
- CN1731693A CN1731693A CNA200510094199XA CN200510094199A CN1731693A CN 1731693 A CN1731693 A CN 1731693A CN A200510094199X A CNA200510094199X A CN A200510094199XA CN 200510094199 A CN200510094199 A CN 200510094199A CN 1731693 A CN1731693 A CN 1731693A
- Authority
- CN
- China
- Prior art keywords
- converter
- signal
- terminal
- mode
- input
- 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
Images
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
Disclosed are a multi-mode mobile communication terminal and method for signal processing. The inventive terminal comprises transmitter and receiver, wherein the transmitter comprising terminals that can be re-deployed (1), communication module (2), D/A converter (3), communication mode selector (4), up converter (5), wide band amplifier (6) and intelligent antenna (15); the receiver comprises intelligent antenna (15), RF filter and amplifier (8), down converter (9), A/D converter (10), communication mode recognizer and mode converter (14) and terminals that can be re-deployed (1).
Description
Technical field
The present invention is based on signal Time-Frequency Analysis Method, fuzzy neural network technology, software and radio technique and designed a multi-functional terminal end.Use same set of hardware, by calling different software modules, this terminal can be used as the terminal of systems such as bluetooth, Zigbee, IEEE802.11b respectively, has the characteristics of many Netcoms letter, belongs to wireless communication field.
Background technology
The present situation of multiple short-distance wireless interconnect standard coexistence is given and is adopted the interconnecting of equipment of different radio interconnection technique to cause obstacle.Adopt traditional hardware based gateway, realize that different systems and the communication between the standard or upgrading are all very difficult.For these reasons, the present invention proposes multi-functional terminal end, adopt changeless hardware platform, realize the radio system of its flexibility by the change of software based on software radio.
Software radio refers to utilize software to programme and reconfigures the radio system that can dispose fully of physical hardware.In other words, by hardware being carried out the application that the incompatible adaptation of particular group is about to appearance.Radio system hardware also can be adjusted, thereby can finish different functions under different environment.Along with the parallel development of short range networks such as bluetooth, Zigbee and IEEE 802.11b, the intercommunication between the heterogeneous networks equipment becomes problem demanding prompt solution.The present invention is based on the analysis of operating frequency, realized that a terminal can insert a plurality of different networks at the network characteristics of 2.4GHz.Table 1 has provided the parameter characteristic of bluetooth, Zigbee and IEEE 802.11b.As can be seen from the table, the working frequency range of these three kinds of network technologies is all at 2.4GHz, therefore the conversion from the radio frequency to the intermediate frequency and might realize with same set of hardware from the conversion of if-to-rf.
Table 1
| Parameter | Bluetooth | Zigbee | IEEE 802.11b |
| Frequency range | 2.4GHz | 2.4GHz | 2.4GHz |
| Transmission technology | GMSK、FH-CDMA | O-QPSK、DS-CDMA | DS-CDMA |
| Transmission rate | 172.8-723.2Kit/s | 250Kbit/s | 6～-7Mbit/s |
Summary of the invention
Technical problem: the purpose of this invention is to provide a kind of multi-mode mobile communication terminal and signal processing method thereof, this devices and methods therefor is with same set of hardware, by calling multi-functional terminal end and the intelligent signal processing method thereof that different software modules realizes that an energy and blueteeth network, Zigbee network, IEEE 802.11b network and other operating frequencies communicate at the network (as cordless telephone network etc.) of 2.4GHz.
Technical scheme: multi-mode mobile communication terminal of the present invention is made up of transmitter and receiver two parts, transmitter is by reconfigurable terminal, communication module, D/A converter, the communication mode selector, upconverter, wide-band amplifier, smart antenna is formed, the input of the reconfigurable terminal of output termination of communication mode selector, the input of the output termination D/A converter of reconfigurable terminal, the output of D/A converter connects the input of frequency converter, the input of the output termination wide-band amplifier of upconverter, the input of the output termination smart antenna of wide-band amplifier; Receiver is by smart antenna, radio-frequency filter and amplifier, low-converter, A/D converter, communication mode pattern recognition and mode converter, reconfigurable terminal is formed, the output termination radio-frequency filter and the amplifier input terminal of smart antenna, the input of the output termination low-converter of radio-frequency filter and amplifier, the input of the output termination A/D converter of low-converter, the output terminated communications mode pattern recognition of A/D converter and the input of mode converter and reconfigurable terminal, the input of the reconfigurable terminal of output termination of communication mode pattern recognition and mode converter; Wherein, reconfigurable terminal and smart antenna are shared by transmitter and receiver.Communication mode pattern recognition and mode converter are composed in series by Eugene Wigner time frequency analysis module, fuzzy neural network controller and mode switch sequence of modules, and reconfigurable terminal is made up of a group communication module.This group communication module is made up of bluetooth, Zigbee and IEEE 802.11b modulation, spread spectrum and modules such as despreading, demodulation separately.The communication mode selector is made up of one group of button.When this terminal communicates as the promoter, at first select the network that will communicate by letter by the communication mode selector, call corresponding module then and realize the launch terminal that can communicate with this network.When this terminal during as receiving terminal, at first which network judges signal be to the method for processing signals below the utilization, sends control signal then and call corresponding module, the receiving terminal that realization can communicate with this network.
Method for processing signals is a signal that smart antenna is received after radio-frequency filter and amplifier are handled, send low-converter to become intermediate-freuqncy signal then, again behind A/D converter, obtain digital intermediate frequency signal and send communication mode pattern recognition and mode converter, frequently signal at first is input to three characteristic quantities that Eugene Wigner time frequency analysis module extracts sign heterogeneous networks signal hereinto: the standard variance of instantaneous frequency, phase place compositing characteristic in signal duration, the standard variance of instant bandwidth, after these three characteristic quantities are sent into fuzzy neural network controller then, export a fuzzy value, according to the fuzzy discrimination rule, the size of fuzzy value has reflected that the signal that receives is from that network, thereby the mode switch module is sent control signal and sent into reconfigurable terminal and call the corresponding communication module.After this, functions such as the despreading of this reconfigurable terminal realization signal of the data-signal of reception process, demodulation restore information data at last.
Beneficial effect: this terminal is in conjunction with the characteristics of bluetooth, Zigbee and these three kinds of networks of IEEE 802.11b, at first they all are operated on the same frequency range of 2.4GHz, can realize the change of signal frequency with same lower frequency changer circuit and up-converter circuit, this has just saved hardware resource; Secondly they all adopt the communication mode of spread spectrum, can be according to the different characteristic of separately pseudo random sequence signal, by being carried out time-frequency characteristics, extracts the signal that receives, be input in the fuzzy neural network controller then, which network is easy to judge the signal that receives is from, handles thereby call the corresponding communication module; In addition, this terminal can insert three kinds of networks, has both saved resource, has the characteristics of versatility, convenience again.In addition, this method also can be used for the network of other operating frequencies at 2.4GHz.
Description of drawings
Fig. 1 is a functional block diagram of the present invention.Realized that a terminal can insert bluetooth, Zigbee, IEEE802.11b, cordless telephone and other operating frequencies network at 2.4GHz.
Fig. 2 is a structure composition diagram of the present invention.This part is formed by transmitting and receiving two parts, and radiating portion forms 15 by reconfigurable terminal 1, communication module 2, D/A converter 3, communication mode selector 4, up-converter circuit 5, wide-band amplifier 6, intelligent transmitting antenna; Receiving unit is made up of with mode converter 14, reconfigurable terminal 1 intelligent reception antenna 15, radio-frequency filter and amplifier 8, low-converter 9, A/D converter 10, communication mode pattern recognition.Wherein, reconfigurable terminal 1 and smart antenna 15 are shared by radiating portion and receiving unit.Communication mode pattern recognition and mode converter 14 are made up of Eugene Wigner time frequency analysis module 11, fuzzy neural network controller 12 and mode switch module 13.
Fig. 3 is the fuzzy neural network controller structure chart.Realized communication mode fuzzy diagnosis process.
Fig. 4 is the software architecture diagram of reconfigurable terminal.The software layer aggregated(particle) structure of terminal has been described.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the invention will be further described.
Receiving course is as follows: the signal that smart antenna receives becomes intermediate-freuqncy signal through lower frequency changer circuit after amplifying through rf filtering again.Intermediate-freuqncy signal utilizes the Wigner distribution Time-Frequency Analysis Method to obtain the temporal signatures amount and the frequency domain character amount of sampled signal after changing through A/D.The different time-frequency characteristics amount of the pseudo random sequence code of using according to three kinds of network spread spectrums is trained fuzzy neural network, through behind the training study, the fuzzy neural network controller that has trained just can judge which network (blueteeth network the signal of reception is from according to the time-frequency characteristics of received signal, the Zigbee network, or IEEE 802.11b network) sends, and output control signal, control reconfigurable terminal and call corresponding software module and realize functions such as underlying protocol, despreading, demodulation, last output information data.
Emission process is as follows: at first select the network that will communicate by letter by the communication mode selector, reconfigurable then terminal is called the corresponding communication module and is come information data carried out a series of processing such as spread spectrum, modulation, through becoming analog intermediate frequency signal after the D/A conversion, through becoming the radiofrequency signal of easy emission behind upconverter, the wide-band amplifier, launch again by smart antenna.
Multi-mode mobile communication terminal is made up of transmitter and receiver two parts, transmitter is by reconfigurable terminal 1, communication module 2, D/A converter 3, communication mode selector 4, upconverter 5, wide-band amplifier 6, smart antenna 15 is formed, the input of the reconfigurable terminal 1 of output termination of communication mode selector 4, the input of the output termination D/A converter 3 of reconfigurable terminal 1, the output of D/A converter 3 connects the input of frequency converter 5, the input of the output termination wide-band amplifier 6 of upconverter 5, the input of the output termination smart antenna 15 of wide-band amplifier 6; Receiver is by smart antenna 15, radio-frequency filter and amplifier 8, low-converter 9, A/D converter 10, communication mode pattern recognition and mode converter 14, reconfigurable terminal 1 is formed, the output termination radio-frequency filter of smart antenna 15 and the input of amplifier 8, the input of the output termination low-converter 9 of radio-frequency filter and amplifier 8, the input of the output termination A/D converter 10 of low-converter 9, the output terminated communications mode pattern recognition of A/D converter 10 and the input of mode converter 14 and reconfigurable terminal 1, the input of the reconfigurable terminal 1 of output termination of communication mode pattern recognition and mode converter 14; Wherein, reconfigurable terminal 1 and smart antenna 15 are shared by transmitter and receiver.Communication mode pattern recognition and mode converter 14 are composed in series by Eugene Wigner time frequency analysis module 11, fuzzy neural network controller 12 and mode switch module 13 orders, and reconfigurable terminal 1 is made up of a group communication module 2.This group communication module is made up of bluetooth, Zigbee and IEEE 802.11b modulation and modules such as spread spectrum, despreading and demodulation separately.The communication mode selector is made up of one group of button.When this terminal communicates as the promoter, at first select the network that will communicate by letter by the communication mode selector, call corresponding module then and realize the launch terminal that can communicate with this network.For example certain equipment in this terminal desire and the blueteeth network communicates, it at first sends control signal by certain button in the communication mode selector, order reconfigurable terminal to call the module relevant and carry out a series of processing operation, as signal is carried out spread spectrum, modulation, encryption etc. with bluetooth.When this terminal during as receiving terminal, at first which network judges signal be to the method for processing signals below the operation, sends control signal then and call corresponding module, the receiving terminal that realization can communicate with this network.
The received signal process as shown in Figure 2, at first behind the radiofrequency signal process radio-frequency filter of antenna reception, the amplifier, become intermediate-freuqncy signal through low-converter, because bluetooth, Zigbee and IEEE 802.11b network all are operated in same frequency range (2.4GHz ISM wave band), so these three kinds of networks are all used same lower frequency changer circuit, have saved hardware resource like this.Analog intermediate frequency signal is again through becoming digital signal after the A/D conversion.Next judge according to the time-frequency characteristics amount of sampled signal how signal, just handle signal if from which network sending.This is core of the present invention.Describe this process below in detail.
At first use Time-Frequency Analysis Method to sampled signal is carried out feature extraction.Time-Frequency Analysis Method is from time domain and two aspects of frequency domain signal to be carried out succinct visual analytical method.Based on this reason, Time-Frequency Analysis Method has the higher signal recognition capability.In the present invention, adopt the Wigner distribution analytical method, it has preferably characteristics in real time.Wigner distribution can be used expression formula (1) expression.
Wherein, y (t) is a sampled signal, and it is band-limited signal and the pattern feature that has comprised signal (bluetooth, Zigbee or IEEE 802.11b).
By the Eugene Wigner conversion, in time domain window T, signal is carried out time frequency analysis, can obtain three characteristic quantities of signal: the standard variance of instantaneous frequency, phase place is formed characteristic quantity, the standard variance of instant bandwidth in signal duration.
In order from given time-frequency distributions, to obtain first characteristic quantity, at first calculate the instantaneous frequency of signal, shown in expression formula (2).
Wherein, y (t) is that the time domain of received signal distributes, and (t ω) is the Eugene Wigner time-frequency distributions of received signal to W.＜ω 〉
tBe the average frequency in the special time period [t, t+ Δ t], when Δ t → 0,＜ω 〉
tCan be considered to instantaneous frequency constantly at t.Suppose that signal is general bandpass signal, available (3) formula is represented.
s(t)＝A(t)e
j(t) (3)
Wherein, A (t) is the amplitude of signal, and (t) is the phase place of signal.Instantaneous frequency ω
iRepresent as (4) formula.
ω
i＝<ω>
t (4)
Then first characteristic quantity---the standard variance available expression (5) of instantaneous frequency draws.
Wherein,
Be the frequency averaging value in time domain window T, available expression (6) expression.
Experiment showed, the IEEE 802.11b network and the Zigbee network that adopt DSSS spread spectrum mode, their instantaneous frequency std (ω
i) value milder, but their std (ω separately
i) value different, on the whole, the std (ω of IEEE 802.11b
i) value bigger, the std (ω of Zigbee
i) value less.And the blueteeth network of employing FHSS mode, its instantaneous frequency std (ω
i) value rise and fall but very big.
Phase place is formed characteristic quantity and is based on that following consideration obtains in second characteristic quantity---signal duration.In time domain observation window T, adopting the phase place composition of direct sequence spread spectrum mode is continuous in the duration, is discontinuous and adopt the phase place composition of frequency-hopping spread spectrum mode, and this is because the frequency hopping mode adopts different frequency hopping frequencies.Therefore, in the duration of signal, can rule of thumb be worth and distinguish different signals.
The standard variance of the 3rd characteristic quantity---the instant bandwidth of signal can obtain from the Eugene Wigner conversion.Can obtain the mean-square value of signal bandwidth from expression formula (7).
Can obtain from following formula, to B
2Extraction of square root promptly gets the instant bandwidth of signal, further can try to achieve the standard variance of instant bandwidth.For blueteeth network, Zigbee network and IEEE 802.11b network, they separately the standard variance of signal transient bandwidth have nothing in common with each other.
The time-frequency characteristics amount that is used for the pseudo random sequence code of bluetooth, Zigbee and these three kinds of networks of IEEE 802.11b has nothing in common with each other, various sequence signals extract above-mentioned three characteristic quantities and also have nothing in common with each other, so can distinguish the signal of these three kinds of networks according to these characteristics.The characteristic quantity of the pseudo random sequence sample that known these three kinds of networks are used is trained the fuzzy controller network with these sample characteristics amounts, when network reaches target with these sample trainings, just can adjudicate signal with this network.Extract the characteristic quantity of received signal by the Eugene Wigner Time-Frequency Analysis Method, they are input in the fuzzy neural network controller, just corresponding separately different output area.In the present invention, what fuzzy controller adopted is fuzzy self-adaption echo theory (Fuzzy ART) neural network algorithm, has judgement fast, stronger network robustness and higher characteristics such as accuracy, and its structure as shown in Figure 4.What blueteeth network adopted is FH-CDMA spread spectrum mode, if the characteristic quantity of its standard pseudo random sequence code is input in the fuzzy controller, then the scope of Dui Ying output valve is [0,0.3].The Zigbee network using be the spread spectrum mode of DS-CDMA, the characteristic quantity of its standard pseudo random sequence sample is input in the fuzzy controller, the scope of corresponding output valve is (0.3,0.6).IEEE 802.11b network using be the spread spectrum mode of DS-CDMA, similarly, if the characteristic quantity of its standard pseudo random sequence sample is input in the fuzzy controller, its corresponding output area is [0.6,1.0].As shown in Figure 3, the size of threshold parameter ρ that can be by regulating fuzzy neural network controller is regulated three fuzzy output area values and controller precision.The output valve that at first obtains 100 known pseudo random sequence characteristic quantities and correspondence thereof from three different networks is come neural network training as sample, through fuzzy control rule, constantly change the weights of network, enter into the value that stable state and network error reach regulation up to controller, stop training network, and keep each neuronic parameter (comprising weights and threshold value) in controller this moment, this has just finished the training process (or learning process) of network controller.The network that utilization trains just can be differentiated input signal sequence and export.For example, if the characteristic quantity of input signal sequence is [0.11,0.23,0.98,0.55,0.67,1 ..., 1.0], through behind the fuzzy controller,,, just can judge that this sequence signal is sent by bluetooth equipment according to above-mentioned fuzzy discrimination rule if output valve is 0.2.
Just finished the identifying of communication mode through above-mentioned steps.Fuzzy controller sends control signal to reconfigurable terminal simultaneously, calls the functions such as despreading, demodulation and operation underlying protocol that the corresponding communication module realizes signal, thereby has obtained information data, has finished receiving course.The software configuration of reconfigurable terminal as shown in Figure 4, hardware is finished jointly by DSP+FPGA, wherein DSP mainly finishes controlled function, FPGA mainly finishes functions such as Signal Processing, underlying protocol.
Transmit process as shown in Figure 2, at first select the network that to communicate by letter by the user, sending control signal by the communication mode selector circuit then calls corresponding software module for reconfigurable terminal, to realize the functions such as spread spectrum, modulation and underlying protocol of information data, become analog signal by the D/A conversion then.Become high-frequency signal through up-converter circuit again, behind wide-band amplifier, become the high-frequency signal of easy emission then, launch through smart antenna at last, finished the emission process of signal.
Claims (3)
1. multi-mode mobile communication terminal, it is characterized in that this terminal is made up of transmitter and receiver two parts, transmitter is by reconfigurable terminal (1), communication module (2), D/A converter (3), communication mode selector (4), upconverter (5), wide-band amplifier (6), smart antenna (15) is formed, the input of the reconfigurable terminal of output termination (1) of communication mode selector (4), the input of the output termination D/A converter (3) of reconfigurable terminal (1), the output of D/A converter (3) connects the input of frequency converter (5), the input of the output termination wide-band amplifier (6) of upconverter (5), the input of the output termination smart antenna (15) of wide-band amplifier (6); Receiver is by smart antenna (15), radio-frequency filter and amplifier (8), low-converter (9), A/D converter (10), communication mode pattern recognition and mode converter (14), reconfigurable terminal (1) is formed, the input of the output termination radio-frequency filter of smart antenna (15) and amplifier (8), the input of the output termination low-converter (9) of radio-frequency filter and amplifier (8), the input of the output termination A/D converter (10) of low-converter (9), the input of the output terminated communications mode pattern recognition of A/D converter (10) and mode converter (14) and reconfigurable terminal (1), the input of the reconfigurable terminal of output termination (1) of communication mode pattern recognition and mode converter (14); Wherein, reconfigurable terminal (1) and smart antenna (15) are shared by transmitter and receiver.
2. according to right 1 described multi-mode mobile communication terminal, it is characterized in that communication mode pattern recognition and mode converter (14) are composed in series by Eugene Wigner time frequency analysis module (11), fuzzy neural network controller (12) and mode switch module (13) order, reconfigurable terminal (1) is made up of a group communication module (2).
3. signal processing method that is used for the described multi-mode mobile communication terminal of claim 1, it is characterized in that method for processing signals is a signal that smart antenna (15) is received after radio-frequency filter and amplifier (8) amplify, send low-converter (9) frequency conversion again, send A/D converter (10) to handle then, obtain digital intermediate frequency signal and send communication mode pattern recognition and mode converter (14), frequently signal at first is input to three characteristic quantities that Eugene Wigner time frequency analysis module (11) extracts sign heterogeneous networks signal hereinto: the standard variance of instantaneous frequency, phase place is formed characteristic quantity in signal duration, the standard variance of instant bandwidth, after these three characteristic quantities are sent into fuzzy neural network controller (12) then, export a fuzzy value, according to the fuzzy discrimination criterion, the size of fuzzy value has reflected that the signal that receives is from that network, thereby mode switch module (13) is sent control signal and is sent into reconfigurable terminal (1) and call the corresponding communication module, after this, the data-signal that receives is realized despreading through this reconfigurable terminal (1), functions such as demodulation restore information data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA200510094199XA CN1731693A (en) | 2005-09-02 | 2005-09-02 | Multi-mode mobile communication terminal and its signal processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA200510094199XA CN1731693A (en) | 2005-09-02 | 2005-09-02 | Multi-mode mobile communication terminal and its signal processing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN1731693A true CN1731693A (en) | 2006-02-08 |
Family
ID=35964004
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA200510094199XA Pending CN1731693A (en) | 2005-09-02 | 2005-09-02 | Multi-mode mobile communication terminal and its signal processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN1731693A (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7809399B2 (en) | 2006-02-10 | 2010-10-05 | Syntek International Holding Ltd. | Method and device for providing multiple communication protocols with a single transceiver |
| CN101287256B (en) * | 2008-05-23 | 2010-12-22 | 南京邮电大学 | System structure and controlling method for terminal reconfiguration in end-to-end reconfiguration environment |
| CN101232686B (en) * | 2008-02-27 | 2011-01-19 | 中兴通讯股份有限公司 | Method for implementing multimodule mobile phone blue tooth hands-free voice switch |
| CN102170715A (en) * | 2011-03-30 | 2011-08-31 | 东方通信股份有限公司 | Mobile communication base station transceiver employing software radio technology and signal processing method |
| CN102855457A (en) * | 2012-08-06 | 2013-01-02 | 中国科学院自动化研究所 | Door-type radio frequency identification (RFID) multi-antenna deployment system and method based on intelligent prediction |
| CN101471704B (en) * | 2007-12-26 | 2013-03-20 | 陈澎 | Dual-mode equipment and network management method |
| CN102983920A (en) * | 2012-11-15 | 2013-03-20 | 北京交通大学 | Wireless communication channel detection method and wireless communication channel detection device |
| WO2013063921A1 (en) * | 2011-11-04 | 2013-05-10 | 中兴通讯股份有限公司 | Multi-mode radio frequency receiving processing chip and multi-mode terminal |
| CN103259546A (en) * | 2012-02-20 | 2013-08-21 | 西南科技大学 | Software radio receiver |
| CN103391125A (en) * | 2012-05-10 | 2013-11-13 | 上海精视信息技术有限责任公司 | Transmitting system for transmitting data based on separate-type antenna |
| CN103701506A (en) * | 2013-12-17 | 2014-04-02 | 南京邮电大学 | E-book newsstand device based on NFC (near field communication) and Bluetooth fusion and implementation method thereof |
| CN104394605A (en) * | 2014-10-29 | 2015-03-04 | 惠州市德宝威敏通科技有限公司 | Wireless receiving system and wireless transmitting system |
| US9060340B2 (en) | 2007-04-23 | 2015-06-16 | Mstar Semiconductor, Inc. | Re-configurable communication device and managing method thereof |
| CN109993182A (en) * | 2017-12-29 | 2019-07-09 | 中移（杭州）信息技术有限公司 | A kind of mode identification method and device based on Fuzzy ART |
| CN113260096A (en) * | 2021-04-30 | 2021-08-13 | 上海守正通信技术有限公司 | 4G/5G dual-mode distributed base station radio frequency unit system architecture and signal processing algorithm |
-
2005
- 2005-09-02 CN CNA200510094199XA patent/CN1731693A/en active Pending
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7809399B2 (en) | 2006-02-10 | 2010-10-05 | Syntek International Holding Ltd. | Method and device for providing multiple communication protocols with a single transceiver |
| US9060340B2 (en) | 2007-04-23 | 2015-06-16 | Mstar Semiconductor, Inc. | Re-configurable communication device and managing method thereof |
| CN101471704B (en) * | 2007-12-26 | 2013-03-20 | 陈澎 | Dual-mode equipment and network management method |
| CN101232686B (en) * | 2008-02-27 | 2011-01-19 | 中兴通讯股份有限公司 | Method for implementing multimodule mobile phone blue tooth hands-free voice switch |
| CN101287256B (en) * | 2008-05-23 | 2010-12-22 | 南京邮电大学 | System structure and controlling method for terminal reconfiguration in end-to-end reconfiguration environment |
| CN102170715A (en) * | 2011-03-30 | 2011-08-31 | 东方通信股份有限公司 | Mobile communication base station transceiver employing software radio technology and signal processing method |
| CN102170715B (en) * | 2011-03-30 | 2013-11-06 | 东方通信股份有限公司 | Mobile communication base station transceiver employing software radio technology and signal processing method |
| WO2013063921A1 (en) * | 2011-11-04 | 2013-05-10 | 中兴通讯股份有限公司 | Multi-mode radio frequency receiving processing chip and multi-mode terminal |
| CN103259546A (en) * | 2012-02-20 | 2013-08-21 | 西南科技大学 | Software radio receiver |
| CN103391125B (en) * | 2012-05-10 | 2016-12-14 | 上海精视信息技术有限责任公司 | The transmission system of data is sent based on separated antenna |
| CN103391125A (en) * | 2012-05-10 | 2013-11-13 | 上海精视信息技术有限责任公司 | Transmitting system for transmitting data based on separate-type antenna |
| CN102855457B (en) * | 2012-08-06 | 2015-05-06 | 中国科学院自动化研究所 | Door-type radio frequency identification (RFID) multi-antenna deployment system and method based on intelligent prediction |
| CN102855457A (en) * | 2012-08-06 | 2013-01-02 | 中国科学院自动化研究所 | Door-type radio frequency identification (RFID) multi-antenna deployment system and method based on intelligent prediction |
| CN102983920B (en) * | 2012-11-15 | 2015-05-13 | 北京交通大学 | Wireless communication channel detection method and wireless communication channel detection device |
| CN102983920A (en) * | 2012-11-15 | 2013-03-20 | 北京交通大学 | Wireless communication channel detection method and wireless communication channel detection device |
| CN103701506A (en) * | 2013-12-17 | 2014-04-02 | 南京邮电大学 | E-book newsstand device based on NFC (near field communication) and Bluetooth fusion and implementation method thereof |
| CN103701506B (en) * | 2013-12-17 | 2015-07-01 | 南京邮电大学 | E-book newsstand device based on NFC (near field communication) and Bluetooth fusion and implementation method thereof |
| CN104394605A (en) * | 2014-10-29 | 2015-03-04 | 惠州市德宝威敏通科技有限公司 | Wireless receiving system and wireless transmitting system |
| CN109993182A (en) * | 2017-12-29 | 2019-07-09 | 中移（杭州）信息技术有限公司 | A kind of mode identification method and device based on Fuzzy ART |
| CN109993182B (en) * | 2017-12-29 | 2021-08-17 | 中移（杭州）信息技术有限公司 | Pattern recognition method and device based on Fuzzy ART |
| CN113260096A (en) * | 2021-04-30 | 2021-08-13 | 上海守正通信技术有限公司 | 4G/5G dual-mode distributed base station radio frequency unit system architecture and signal processing algorithm |
| CN113260096B (en) * | 2021-04-30 | 2022-10-28 | 上海守正通信技术有限公司 | 4G/5G dual-mode distributed base station radio frequency unit system architecture and signal processing method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1731693A (en) | Multi-mode mobile communication terminal and its signal processing method | |
| CN108777872B (en) | Intelligent anti-interference method and intelligent anti-interference system based on deep Q neural network anti-interference model | |
| CN101459445B (en) | Cooperative spectrum sensing method in cognitive radio system | |
| CN105187152B (en) | Interference method and system are combined based on frequency spectrum perception and Modulation Identification | |
| Gandetto et al. | Use of time-frequency analysis and neural networks for mode identification in a wireless software-defined radio approach | |
| EP1775848A1 (en) | Hybrid RF network with high precision ranging | |
| US20040203697A1 (en) | Ultra wideband remote control system and method | |
| CN102611652A (en) | Parameter control-based multimode base band processing realizing method | |
| CN106254009B (en) | A kind of Unmanned Aerial Vehicle Data Link test electromagnetic interference signal recurrence system and reproducing method | |
| CN111585925A (en) | Robust real-time radio frequency signal modulation identification method based on deep learning | |
| CN111147102B (en) | Low signal-to-noise ratio code capturing method based on frequency modulation signal | |
| CN112672426B (en) | Anti-interference frequency point allocation method based on online learning | |
| CN109257312B (en) | Demodulation method and device of differential chaos keying ultra-wideband communication system | |
| CN105049081A (en) | Long-code spread spectrum signal rapid capturing method adaptive to high dynamic environment | |
| Dakic et al. | LoRa signal demodulation using deep learning, a time-domain approach | |
| CN110798270B (en) | Multi-band frequency spectrum sensing method based on power variance comparison | |
| CN102843165B (en) | Nonlinear signal processing device used for pulse ultra wideband system | |
| CN116756697A (en) | Low-speed unmanned aerial vehicle identification method based on feature fusion and MACINN | |
| CN104467915B (en) | Phase noise analyzing method of incoherent ultra-wide band communication system | |
| Gandetto et al. | A distributed approach to mode identification and spectrum monitoring for cognitive radios | |
| CN109450571A (en) | A kind of RF energy collects the high energy efficiency channel and power combined allocation method in cognition wireless network | |
| CN113472423B (en) | Satellite communication anti-interference method based on zero sum game theory | |
| CN111092632B (en) | Interference suppression method and interference suppressor | |
| CN102811189A (en) | Probability control-based anti-interference method for cognitive code division multiple access (CDMA) communication system | |
| CN101807961B (en) | Method for realizing spectrum sensing based on bi-spectrum diagonal slice |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |