CN110113278B - Modulation mode identification method based on all-digital receiver - Google Patents

Modulation mode identification method based on all-digital receiver Download PDF

Info

Publication number
CN110113278B
CN110113278B CN201910362765.2A CN201910362765A CN110113278B CN 110113278 B CN110113278 B CN 110113278B CN 201910362765 A CN201910362765 A CN 201910362765A CN 110113278 B CN110113278 B CN 110113278B
Authority
CN
China
Prior art keywords
frequency
signal
signals
mtone
phase
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.)
Active
Application number
CN201910362765.2A
Other languages
Chinese (zh)
Other versions
CN110113278A (en
Inventor
沈雷
周盼
赵永宽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Tianzhi RONGTONG Technology Co.,Ltd.
Original Assignee
Hangzhou Dianzi University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hangzhou Dianzi University filed Critical Hangzhou Dianzi University
Priority to CN201910362765.2A priority Critical patent/CN110113278B/en
Publication of CN110113278A publication Critical patent/CN110113278A/en
Application granted granted Critical
Publication of CN110113278B publication Critical patent/CN110113278B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/0012—Modulated-carrier systems arrangements for identifying the type of modulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Digital Transmission Methods That Use Modulated Carrier Waves (AREA)

Abstract

The invention discloses a modulation mode identification method based on a full digital receiver. The invention comprises the following steps: step 1, performing FFT (fast Fourier transform) on a measurement and control signal received by receiving equipment, and estimating carrier frequency and 3dB bandwidth; step 2, utilizing the carrier frequency obtained by estimation to complete down-conversion, filtering and resampling; step 3, tracking frequency deviation of the low-frequency signal after orthogonal decomposition through a phase-locked loop, and distinguishing an FSK signal and AM _ FM and MTONE _ FM signals by using a frequency tracking curve; and 4, identifying AM _ FM and MTONE _ FM signals by performing FFT conversion on the frequency tracking curve containing the modulation information. The invention has simple operation and is easy to realize on hardware. The invention can accurately judge the FSK signal and the narrow-band FM signal of composite modulation in the all-digital receiver, and the identification accuracy is better than that based on the traditional signal instantaneous spectrum identification method.

Description

Modulation mode identification method based on all-digital receiver
Technical Field
The invention mainly aims at signal detection and frequency estimation, and mainly relates to a modulation mode identification method based on a full digital receiver.
Background
In an actual electronic reconnaissance environment, the transmitted signal is often accompanied by the situation that a broadband digital modulation signal and a narrowband signal are mixed, and therefore modulation mode identification research needs to be carried out on the received communication signal. And under the condition that various parameters (signal bandwidth and modulation mode) of the signal are unknown, the signal reconnaissance and identification difficulty is increased.
The currently adopted modulation mode identification method mainly comprises the identification method research based on signal cycle spectrum, the identification method research based on signal high-order cumulant, the identification method based on signal constellation diagram and the identification method based on instantaneous frequency spectrum. Although the identification method based on the instantaneous frequency spectrum is simple to operate, the identification method cannot identify the modulation mode of the narrow-band FM signal subjected to complex modulation, is easily influenced by factors such as noise and the like, and often requires a higher signal-to-noise ratio during identification. A modulation mode identification method based on a signal constellation diagram is a PSK/QAM signal modulation identification, and accurate estimation of a received signal carrier frequency and complete signal synchronization are required to be completed to realize the modulation mode identification. The communication signal modulation identification research based on signal cycle spectrum analysis is characterized in that the modulation mode identification is realized through various orders of cumulant parameters by a method of extracting variance characteristics of signal cycle spectrum envelope amplitude to classify and identify and using high order statistic characteristics. The two methods have large calculation amount, high difficulty in parameter extraction and calculation process, poor real-time on-line analysis of signals and difficult application in actual engineering projects.
Based on the analysis, the current modulation identification method mainly aims at the PSK/QAM signal, and the identification performance of the current identification method is rapidly reduced for the identification of the narrow-broadband analog-digital mixed signal. And the current identification algorithm has large calculation amount and is difficult to realize on hardware.
Disclosure of Invention
The invention aims to realize the signal reconnaissance of FSK, AM _ FM and MTONE _ FM aiming at the defects of the prior art. The invention provides a modulation mode identification method based on a full digital receiver. The algorithm has better identification performance, can distinguish the narrow-band FM signals of the complex modulation, has low complexity and can be realized on hardware.
The technical scheme adopted by the invention for solving the technical problem comprises the following steps:
step 1, performing FFT (fast Fourier transform) on a measurement and control signal received by receiving equipment, and estimating carrier frequency and 3dB bandwidth;
step 2, utilizing the carrier frequency obtained by estimation to complete down-conversion, filtering and resampling;
step 3, tracking frequency deviation of the low-frequency signal after orthogonal decomposition through a phase-locked loop, and distinguishing an FSK signal and AM _ FM and MTONE _ FM signals by using a frequency tracking curve;
and 4, identifying AM _ FM and MTONE _ FM signals by performing FFT conversion on the frequency tracking curve containing the modulation information.
The step 1 is specifically realized as follows:
1-1, carrying out 1024-point FFT on the received signal, finding out an abscissa value corresponding to the maximum amplitude value P, and calculating the signal frequency f0；
1-2, finding the SNR of the background noise of the frequency corresponding to the maximum value pointestAnd calculating a threshold value of a 3dB bandwidth, wherein a frequency range corresponding to a part higher than the threshold value is the bandwidth threshold of the signal:
Figure BDA0002047340470000021
the step 2 is realized as follows:
2-1, according to the calculated signal frequency f0Performing down-conversion, low-pass filtering and CIC extraction on the signals to reduce the data rate;
this process is represented as:
Figure BDA0002047340470000022
the signals are mixed according to the result of the initial estimation of the frequency of the received signals, and low-pass filtering is performed to filter out the sum frequency component, so as to obtain the in-phase signal and the quadrature signal of the FM composite modulation signal, which can be expressed as:
Figure BDA0002047340470000023
Figure BDA0002047340470000024
and 2-2, distinguishing narrow-band (AM _ FM, MTONE _ FM) signals and wide-band FSK signals according to the 3dB bandwidth. If the narrowband signal needs to perform CIC500 times of extraction on the sampling rate to reduce the sampling rate, and if the wideband signal needs to perform CIC2 times of extraction on the sampling rate.
The step 3 is realized as follows:
and 3-1, multiplying the signal after the orthogonal decomposition by the initial frequency of the local voltage controlled oscillator, and performing low-pass filtering to obtain an in-phase component and an orthogonal component. The I and Q paths of the signal can now be represented as:
Figure BDA0002047340470000031
Figure BDA0002047340470000032
in the formula, TSFor the sampling interval of the signal, KfIn order to modulate frequency offset, delta f is the initial frequency difference between the signal after down-conversion and the voltage-controlled oscillator, and m (t) is a modulation signal;
fcrepresenting the carrier frequency of the signal, n representing the number of sampling points;
the two paths of orthogonal signals are used as input signals of a phase detector. The phase discrimination equation can be expressed as:
Figure BDA0002047340470000033
because the arctangent and division operations are difficult to implement in hardware, the following phase discrimination equation can be used instead:
Figure BDA0002047340470000034
and 3-2, phase error information is obtained by a phase discrimination equation, sum frequency components are filtered and filtered out from a phase discrimination error result through second-order loop filtering, the difference frequency components are used as input voltage of the voltage-controlled oscillator, and the error approaches to zero after the loop is stabilized, so that frequency tracking is realized.
The step 4 is realized as follows:
4-1, the carrier synchronization loop tracking based on the all-digital phase-locked loop is frequency information, and AM and MTONE signals are modulated on frequency, so that a frequency tracking curve reflects modulation information, and the modulation mode identification can be realized by performing FFT (fast Fourier transform) on the signals which are tracked by the phase-locked loop and contain the frequency information according to different frequency spectrum characteristics of the modulation information. While the frequency tracked by the FSK signal jumps, narrow-band (AM _ FM, MTONE _ FM) signals and wide-band FSK signals can be distinguished by tracking the frequency and combining the spectrogram of the signals.
And 4-2. the AM _ FM signal is tracked by a carrier loop to obtain frequency information, the AM signal is modulated on the frequency, and an obvious spectral peak value can be obtained by performing FFT operation on the frequency information. By performing FFT operation on the frequency information of the MTONE _ FM signal, since the MTONE signal is modulated in frequency, it can be seen from the simulation result that there are a plurality of spectral peaks. It is clear that the AM _ FM signal and the MTONE _ FM signal can be distinguished by searching for the number of spectral peaks. The specific method is to calculate the average value of the corresponding signal frequency spectrum and find out the wave peak value which is much larger than the average value, thereby determining the number of the frequency impulse components.
The invention has the following beneficial effects:
1. the invention aims at the condition that the parameters of the reconnaissance signal are unknown, such as carrier frequency, modulation mode and the like. Modulation mode identification may be implemented.
2. The invention realizes the identification of the modulation mode of the composite modulation signal (AM _ FM, MTONE _ FM) through the modulation information contained in the frequency information tracked by the phase-locked loop, and the identification rate is higher than that of the common identification method based on the signal instantaneous frequency spectrum.
3. The method has the advantages of simple calculated amount, easy hardware realization, good use in practical engineering projects and higher practical significance.
Drawings
FIG. 1 is a block diagram of a modulation identification method for extracting user information based on a carrier synchronization loop according to the present invention;
FIG. 23 dB bandwidth estimation flow chart;
FIG. 3 illustrates a carrier-synchronous frequency offset tracking curve for FSK signals;
FIG. 4 frequency information for AM _ FM signal carrier synchronization tracking;
FIG. 5 frequency information for carrier synchronization tracking of the MTONE _ FM signal;
FIG. 6 is a FFT spectrogram of a frequency signal containing modulation information tracked by an AM _ FM signal;
FIG. 7 is a FFT spectrogram of a frequency signal containing modulation information tracked by the MTONE _ FM signal;
Detailed Description
The following further describes an embodiment of the present invention with reference to the drawings.
As shown in fig. 1, a modulation mode identification method based on an all-digital receiver is specifically implemented as follows:
step 1, performing FFT on a measurement and control signal received by a receiving device, estimating a carrier frequency and a 3dB bandwidth, wherein a specific implementation flow chart is shown in FIG. 2;
step 2, using the estimated frequency to complete down-conversion, filtering, resampling and the like;
step 3, tracking frequency offset of the orthogonally decomposed low-frequency signal through a phase-locked loop, and distinguishing an FSK signal and AM _ FM and MTONE _ FM signals by using a frequency tracking curve as shown in fig. 2, fig. 3 and fig. 4 respectively;
and step 4, identifying AM _ FM and MTONE _ FM signals by performing FFT conversion on the frequency tracking curve containing the modulation information, as shown in FIGS. 5 and 6.
The step 1 is specifically realized as follows:
1-1, carrying out 1024-point FFT on the received signal, finding out an abscissa value corresponding to the maximum amplitude value P, and calculating the carrier frequency fc；
1-2, finding the SNR of the background noise of the corresponding frequency at the maximum value pointestThe 3dB bandwidth estimation flow chart is shown in fig. 2. Therefore, a threshold value of a 3dB bandwidth can be calculated, and a frequency range corresponding to a part higher than the threshold value is the bandwidth of the signal;
Figure BDA0002047340470000051
the step 2 is realized as follows:
2-1, according to the carrier frequency obtained by calculation, carrying out orthogonal decomposition on the signals to obtain I, Q two paths, filtering the signals after frequency mixing by low-pass filtering, and then carrying out CIC extraction to reduce the data rate;
this process can be expressed as:
Figure BDA0002047340470000052
the sum frequency component generated by mixing the signals according to the result of the initial estimation of the frequency of the received signals and filtering the signals by a low-pass filter is obtained, and the obtained in-phase and quadrature signals of the FM composite modulation signals can be expressed as:
Figure BDA0002047340470000053
Figure BDA0002047340470000054
and 2-2, distinguishing narrow-band (AM _ FM, MTONE _ FM) signals and wide-band FSK signals according to the 3dB bandwidth. If the narrowband signal needs to perform CIC500 times of extraction on the sampling rate to reduce the sampling rate, and if the wideband signal needs to perform CIC2 times of extraction on the sampling rate.
The step 3 is realized as follows:
and 3-1, multiplying the signal after the quadrature decomposition by the initial frequency of the local voltage controlled oscillator to obtain an in-phase component and a quadrature component. The I and Q paths of the signal can now be represented as:
Figure BDA0002047340470000061
Figure BDA0002047340470000062
in the formula, TSAs between samples of the signalPartition, KfFor modulating frequency deviation, Δ f represents the initial frequency difference between the down-converted signal and the voltage-controlled oscillator, and m (t) is the modulation signal.
The two paths of orthogonal signals are used as input signals of a phase detector. The phase discrimination equation can be expressed as:
Figure BDA0002047340470000063
because the arctangent and division operations are difficult to implement in hardware, the following phase discrimination equation can be used instead:
Figure BDA0002047340470000064
and 3-2, phase error information is obtained by a phase discrimination equation, sum frequency components are filtered and filtered out from a phase discrimination error result through second-order loop filtering, the difference frequency components are used as input voltage of the voltage-controlled oscillator, and the error approaches to zero after the loop is stabilized, so that frequency tracking is realized.
The step 4 is realized as follows:
4-1. the carrier synchronization loop based on the ADPLL tracks frequency information, as shown in FIG. 3, FIG. 4, and FIG. 5. AM, MTONE signal modulation in frequency, therefore what the frequency tracking curve reflects is the modulation information, through carrying on FFT conversion to the signal containing frequency information that the phase-locked loop tracks, according to modulating the frequency spectrum characteristic is different, can realize the modulation mode discerns. While the frequency tracked by the FSK signal jumps, narrow-band (AM _ FM, MTONE _ FM) signals and wide-band FSK signals can be distinguished by tracking the frequency and combining the spectrogram of the signals.
And 4-2. the AM _ FM signal is subjected to carrier loop tracking to obtain frequency information, the AM signal is modulated on the frequency, and an obvious spectral peak value can be obtained by performing FFT operation on the frequency information, as shown in FIG. 6. By performing FFT operation on the frequency information of the MTONE _ FM signal, since the MTONE signal is modulated in frequency, it can be seen from the simulation result that there are a plurality of spectral peaks, as shown in fig. 7. It is clear that the AM _ FM signal and the MTONE _ FM signal can be distinguished by searching for the number of spectral peaks. The specific method is to calculate the average value of the corresponding signal frequency spectrum and find out the wave peak value which is much larger than the average value, thereby determining the number of the frequency impulse components.
Example (b):
the signal is a modulated signal sent by China electronic technology group company by using Agilent E4438C, and AM _ FM, MTONE _ FM and FSK signals are collected by an AD sampling plate with the sampling frequency of 200M, wherein the bandwidth of the FSK signal is 6.4MHz, and the bandwidth of the AM _ FM and MTONE _ FM signals is 200 kHz.
Firstly, FFT conversion is carried out on an input signal to obtain a spectrogram of the signal, the carrier frequency of the signal is estimated, the 3dB bandwidth is found, and a narrow-band signal and a wide-band signal are distinguished. And then, taking the estimated carrier frequency as a down-conversion frequency to complete down-conversion, CIC extraction and low-pass filtering. If the signal is a narrow-band signal, CIC 500-time extraction is needed to be carried out on the sampling frequency to reduce the sampling rate, and the sampling rate is sent into a carrier synchronization loop. If the broadband signal needs CIC2 times extraction, the frequency information is sent to the carrier synchronization loop to track the frequency information. In the modulation mode identification, the FSK signal and AM _ FM, MTONE _ FM signals can be distinguished according to whether the bandwidth and the tracked frequency information jump or not. Since the tracked frequency curve reflects the information of the modulated signal, the complex modulated narrowband FM signal can be distinguished by performing FFT on the frequency information including the modulated information. According to the test result, the recognition rates of the test result of the method of the invention respectively correspond to 95.5%, 98.5% and 100 when the signal-to-noise ratio is 2dB, 4dB and 6 dB. The two signals are difficult to distinguish by the current common instantaneous spectrum modulation mode identification method.
The embodiment result shows that the narrow-broadband signal modulation mode identification algorithm based on the all-digital receiver has the advantages of simple operation amount, easy hardware realization and high simulation operation speed. Compared with a transient spectrum feature identification method, the narrow-band FM signal identification method based on the composite modulation has the advantages that the narrow-band FM signal identification method based on the composite modulation can identify the narrow-band FM signal through the composite modulation, and has high practical significance.
Finally, it is noted that the disclosed embodiments are intended to aid in further understanding of the invention, but those skilled in the art will appreciate that: various substitutions and modifications are possible without departing from the spirit and scope of the invention and the appended claims. Therefore, the invention should not be limited to the embodiments disclosed, but the scope of the invention is defined by the appended claims.

Claims (1)

1. A modulation mode identification method based on a full digital receiver is characterized by comprising the following steps:
step 1, performing FFT (fast Fourier transform) on a measurement and control signal received by receiving equipment, and estimating a carrier frequency and a 3dB bandwidth;
step 2, utilizing the carrier frequency obtained by estimation to complete down-conversion, filtering and resampling;
step 3, tracking frequency deviation of the low-frequency signal after orthogonal decomposition through a phase-locked loop, and distinguishing an FSK signal and AM _ FM and MTONE _ FM signals by using a frequency tracking curve;
step 4, identifying AM _ FM and MTONE _ FM signals by performing FFT conversion on the frequency tracking curve containing the modulation information;
the step 1 is specifically realized as follows:
1-1, carrying out 1024-point FFT on the received signal, finding out an abscissa value corresponding to the maximum amplitude value P, and estimating the signal frequency f0；
1-2, finding the SNR of the background noise of the frequency corresponding to the maximum value pointestAnd calculating a threshold value of a 3dB bandwidth, wherein a frequency range corresponding to a part higher than the threshold value is the bandwidth threshold of the signal:
Figure FDA0003067059250000011
the step 2 is realized as follows:
2-1, according to the calculated signal frequency f0Performing down-conversion, low-pass filtering and CIC extraction on the signals to reduce the data rate;
this process is represented as:
Figure FDA0003067059250000012
the signals are mixed according to the result of the initial estimation of the frequency of the received signals, and low-pass filtering is performed to filter out the sum frequency component, so as to obtain the in-phase signal and the quadrature signal of the FM composite modulation signal, which can be expressed as:
Figure FDA0003067059250000013
Figure FDA0003067059250000014
2-2, distinguishing narrow-band (AM _ FM, MTONE _ FM) signals and wide-band FSK signals according to the 3dB bandwidth; if the narrowband signal needs CIC500 times of sampling rate to reduce the sampling rate, if the wideband signal needs CIC2 times of sampling rate;
the step 3 is realized as follows:
3-1, multiplying the orthogonally decomposed signal by the initial frequency of the local voltage controlled oscillator, and performing low-pass filtering to obtain an in-phase component and an orthogonal component; the I and Q paths of the signal can now be represented as:
Figure FDA0003067059250000021
Figure FDA0003067059250000022
in the formula, TSFor the sampling interval of the signal, KfIn order to modulate frequency offset, delta f is the initial frequency difference between the signal after down-conversion and the voltage-controlled oscillator, and m (t) is a modulation signal;
fcrepresenting the carrier frequency of the signal, n representing the number of sampling points;
the two paths of orthogonal signals are used as input signals of a phase discriminator; the phase discrimination equation can be expressed as:
Figure FDA0003067059250000023
because the arctangent and division operations are difficult to implement in hardware, the following phase discrimination equation can be used instead:
Figure FDA0003067059250000024
3-2, phase error information is obtained by a phase discrimination equation, sum frequency components are filtered and filtered out by a phase discrimination error result through second-order loop filtering, the difference frequency components are used as input voltage of the voltage-controlled oscillator, and the error approaches to zero after the loop is stabilized, so that frequency tracking is realized;
the step 4 is realized as follows:
4-1, the carrier synchronization loop tracking based on the all-digital phase-locked loop is frequency information, and AM and MTONE signals are modulated on frequency, so that a frequency tracking curve reflects modulation information, and the modulation mode identification can be realized by performing FFT (fast Fourier transform) on the signals which are tracked by the phase-locked loop and contain the frequency information according to different frequency spectrum characteristics of the modulation information; the frequency tracked by the FSK signal jumps, and narrow-band (AM _ FM, MTONE _ FM) signals and broadband FSK signals can be distinguished by tracking the frequency and combining the spectrogram of the signals;
4-2, the AM _ FM signal is tracked by a carrier loop to obtain frequency information, the AM signal is modulated on the frequency, and an obvious spectral peak value can be obtained by performing FFT operation on the frequency information; by performing FFT operation on the frequency information of the MTONE _ FM signal, because the MTONE signal is modulated on the frequency, a plurality of spectrum peaks can be seen from a simulation result; obviously, the AM _ FM signal and the MTONE _ FM signal can be distinguished by searching for the number of spectral peaks; the specific method is to calculate the average value of the corresponding signal frequency spectrum and find out the wave peak value larger than the average value, thereby determining the number of the frequency impulse components.
CN201910362765.2A 2019-04-30 2019-04-30 Modulation mode identification method based on all-digital receiver Active CN110113278B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910362765.2A CN110113278B (en) 2019-04-30 2019-04-30 Modulation mode identification method based on all-digital receiver

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910362765.2A CN110113278B (en) 2019-04-30 2019-04-30 Modulation mode identification method based on all-digital receiver

Publications (2)

Publication Number Publication Date
CN110113278A CN110113278A (en) 2019-08-09
CN110113278B true CN110113278B (en) 2021-06-29

Family

ID=67487897

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910362765.2A Active CN110113278B (en) 2019-04-30 2019-04-30 Modulation mode identification method based on all-digital receiver

Country Status (1)

Country Link
CN (1) CN110113278B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112422465B (en) * 2019-10-09 2021-10-22 上海矢元电子股份有限公司 Signal modulation identification equipment
CN111245756B (en) * 2020-02-19 2022-07-22 杭州电子科技大学 Composite signal modulation recognition method based on cascade SVM and full digital receiver
CN111343116B (en) * 2020-02-25 2022-06-10 杭州电子科技大学 Modulation identification method based on constellation locus diagram under dense signal environment
CN112162153B (en) * 2020-08-31 2023-04-28 南京亿杰明信息技术有限公司 Sine wave signal frequency estimation method based on phase straight line fitting
CN112565127B (en) * 2020-11-26 2022-07-22 杭州电子科技大学 Measurement and control signal modulation identification method based on residual error network and frequency domain graph
CN113014523B (en) * 2021-02-25 2022-01-11 电子科技大学 Composite modulation signal blind identification method based on fusion characteristics
CN117201249B (en) * 2023-11-01 2024-02-20 中孚安全技术有限公司 Signal modulation mode identification method, system and device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2365923C1 (en) * 2008-07-03 2009-08-27 Федеральное государственное образовательное учреждение высшего профессионального образования "Военный авиационный инженерный университет" (г. Воронеж) Министерства обороны Российской Федерации Device for recognition of radio signals
US9071497B2 (en) * 2012-09-06 2015-06-30 Electronics And Telecommunications Research Institute Apparatus and method for modulation classification in wireless communication system
CN108134753A (en) * 2016-12-01 2018-06-08 南京理工大学 The recognition methods of broadband signal modulation system
CN108206797A (en) * 2016-12-20 2018-06-26 天津大学（青岛）海洋工程研究院有限公司 A kind of modulation mode of communication signal self-adaptive identification method based on software radio
CN108650203A (en) * 2018-07-23 2018-10-12 杭州电子科技大学 A kind of signal type Identification method based on reconnaissance receiver
CN109560794A (en) * 2018-11-09 2019-04-02 南京邮电大学 Vector Modulation radio-frequency signal generator

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2365923C1 (en) * 2008-07-03 2009-08-27 Федеральное государственное образовательное учреждение высшего профессионального образования "Военный авиационный инженерный университет" (г. Воронеж) Министерства обороны Российской Федерации Device for recognition of radio signals
US9071497B2 (en) * 2012-09-06 2015-06-30 Electronics And Telecommunications Research Institute Apparatus and method for modulation classification in wireless communication system
CN108134753A (en) * 2016-12-01 2018-06-08 南京理工大学 The recognition methods of broadband signal modulation system
CN108206797A (en) * 2016-12-20 2018-06-26 天津大学（青岛）海洋工程研究院有限公司 A kind of modulation mode of communication signal self-adaptive identification method based on software radio
CN108650203A (en) * 2018-07-23 2018-10-12 杭州电子科技大学 A kind of signal type Identification method based on reconnaissance receiver
CN109560794A (en) * 2018-11-09 2019-04-02 南京邮电大学 Vector Modulation radio-frequency signal generator

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
"一种基于数字接收机的信号调制方式识别技术";陈宇杨;《软件导刊》;20190228;第18卷(第2期);I105-9 *
"A fast automatic modulation recognition algorithm and its implementation in a spectrum monitoring application";D. Boudreau等;《MILCOM 2000 Proceedings. 21st Century Military Communications. Architectures and Technologies for Information Superiority》;20020806;I732-6 *
"无线信号调制模式识别技术的研究";李庆岩;《中国优秀硕士学位论文全文数据库》;20140615;I136-131 *
"电子对抗中通信信号数字调制自动识别的研究";范小骞;《中国优秀硕士学位论文全文数据库》;20061115;I136-712 *
"软件无线电接收机中信号调制样式识别算法的研究";张鸣;《中国优秀硕士学位论文全文数据库》;20050915;I136-9 *

Also Published As

Publication number Publication date
CN110113278A (en) 2019-08-09

Similar Documents

Publication Publication Date Title
CN110113278B (en) Modulation mode identification method based on all-digital receiver
CN109495410B (en) High dynamic PCM/FM signal carrier frequency accurate estimation method
CN104777495B (en) A kind of QPSK modulation I/Q path quadrature method of testings based on distribution histogram
EP2048509B1 (en) Modulation signature trigger
CN109962732B (en) Calibration device and method for high-speed data transmission baseband test equipment
CN112511477A (en) Hybrid satellite communication modulation identification method and system based on constellation diagram and deep learning
JP3271504B2 (en) Frequency estimation circuit and AFC circuit using the same
CN111562438B (en) Sinusoidal signal frequency estimation method and device based on FFT and phase difference
US5598439A (en) Method and apparatus for symbol clock phase recovery
CN113037663B (en) Improved code element rate estimation method suitable for non-constant envelope signal
CN104459743A (en) Coherent multicarrier modulation signal inter-component carrier phase deviation determination method
CN114531329B (en) Multipath MSK signal carrier frequency estimation method, system and application
CN102137053A (en) Method for estimating signal to noise ratio of BPSK (Binary Phase Shift Keying) signal
CN104199063B (en) A kind of blind frequency discriminator processing method based on cross product algorithm
US20080089401A1 (en) Signal Testing System
KR102063863B1 (en) A method and an apparatus for estimating symbol rate of frequency shift based modulation signals
CN111245580B (en) Signal-to-noise ratio calculation system and method based on hardware logic circuit
CN114301552B (en) Digital modulation signal testing method and system
CN106443592A (en) Single channel receiver signal tracking system based on digital phase-locked loop and single channel receiver signal tracking method based on digital phase-locked loop
CN112565127B (en) Measurement and control signal modulation identification method based on residual error network and frequency domain graph
Nolan et al. Signal space based adaptive modulation for software radio
CN109521269A (en) A kind of am signals digitlization frequency measuring method
CN111245756B (en) Composite signal modulation recognition method based on cascade SVM and full digital receiver
Nolan et al. Modulation scheme recognition techniques for software radio on a general purpose processor platform
JP2003244263A (en) Signal processor

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
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20210908

Address after: 310018 room 412, No. 68, Keye Road, Jianggan District, Hangzhou City, Zhejiang Province

Patentee after: Hangzhou Tianzhi RONGTONG Technology Co.,Ltd.

Address before: 310018 No. 2 street, Xiasha Higher Education Zone, Hangzhou, Zhejiang

Patentee before: HANGZHOU DIANZI University