CN101977091A - Method and system for monitoring electromagnetic spectrum - Google Patents
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Abstract
The invention discloses a method and system for monitoring an electromagnetic spectrum, wherein the method comprises the following steps of: obtaining a time-domain signal output by an intermediate-frequency receiver; and converting the time-domain signal into a frequency-domain signal; computing each characteristic cross section of the cyclic spectrum of the frequency-domain signal; and monitoring the electromagnetic spectrum by utilizing the conversion result of the signal and/or each characteristic cross section of the cyclic spectrum obtained through computation. The invention can be utilized for completely realizing the monitoring processing for the electromagnetic spectrum in a frequency domain and can be simply and effectively applied to sensor nodes.
Description
Technical field
The present invention relates to the electromagnetic spectrum monitoring technical field, be specifically related to a kind of electromagnetic spectrum monitoring method and system.
Background technology
Continuous development and progress along with electronic technology, the application of radio traffic enlarges rapidly, application such as various mobile communication, satellite communication, radio and television, radar navigation, remote measuring and controlling, radio astronomy spread all over each departments such as national defence, public safety, commercialization and industry, and its traffic carrying capacity is increasing day by day.The fast development of radio traffic has proposed new challenge and requirements at the higher level to the management and the monitoring of radio-frequency spectrum.
The electromagnetic spectrum monitoring is meant monitors generaI investigation to the radio signal in the space, it mainly comprises input, Modulation Mode Recognition and three key links of parameter Estimation, promptly at first detect having or not and quantity of monitoring in-band signal, the modulation system that identifies signal under the situation of signal is being arranged, and parameter such as carrier frequency of estimated signal, bandwidth, baud rate.
At present, the electromagnetic spectrum monitoring system of using towards the electromagnetic sensing net mainly is to rely on a plurality of Miniature Sensor nodes that can lay arbitrarily to finish in collaborative mode the electromagnetic signal in certain zone is monitored, its monitoring node volume is less, finite energy, thereby its disposal ability is also limited, this just has higher requirement to the processing method of electromagnetic spectrum monitoring, and promptly Processing Algorithm must be easy, quick, and required storage and disposal ability are all smaller etc.
In the prior art, the method for electromagnetic spectrum monitoring employing mainly contains time domain, time-frequency domain mixes two big classes.Wherein: time domain approach need be stored a large amount of time-domain signals, brings very big pressure for the storage and the disposal ability of node, and time domain approach more complicated all mostly, is unsuitable for realizing on the Miniature Sensor node of finite energy; It generally is to utilize frequency domain method to carry out input that time-frequency domain mixes the electromagnetic spectrum monitoring method of using, the thinking of utilizing time domain approach and frequency domain method to combine is carried out parameter Estimation and Modulation Mode Recognition etc., this scheme need be stored the time-domain signal sample on the one hand, in processing procedure, need the conversion back and forth of time-frequency domain data on the other hand, the implementation complexity, the further exploitation that is unfavorable for algorithm loads, and therefore also is not suitable for realizing on sensor node.
Summary of the invention
The embodiment of the invention provides a kind of electromagnetic spectrum monitoring method and system, handles to realize the electromagnetic spectrum monitoring fully in frequency domain, simply, be applied on the sensor node effectively.
For this reason, the embodiment of the invention provides following technical scheme:
A kind of electromagnetic spectrum monitoring method comprises:
Obtain the time-domain signal of intermediate-frequency receiver output;
Described time-domain signal is converted to frequency-region signal;
Calculate each characteristic cross-section of described frequency-region signal circulation spectrum;
Each characteristic cross-section of the circulation spectrum of utilizing the conversion of signals result and/or calculating carries out the electromagnetic spectrum monitoring.
Preferably, describedly described time-domain signal be converted to frequency-region signal comprise:
Utilize fast Fourier transform that described time-domain signal is converted to frequency-region signal.
Alternatively, each characteristic cross-section of the described circulation spectrum of utilizing the conversion of signals result and/or calculating carries out the electromagnetic spectrum monitoring and comprises following any one or multinomial:
Utilize each characteristic cross-section of conversion of signals result or its circulation spectrum to carry out input;
Utilize the frequency-region signal of conversion and each characteristic cross-section identification signal modulation system of its circulation spectrum;
Utilize each characteristic cross-section of signal cycle spectrum to carry out the signal parameter estimation.
Alternatively, described each characteristic cross-section that utilizes conversion of signals result or its circulation spectrum carries out input and comprises:
The conversion of signals result is carried out power detection; Perhaps
The frequency of extracting described circulation spectrum is that 0 alpha cross section spectrum peak position information detects.
Preferably, each characteristic cross-section identification signal modulation system of the frequency-region signal of described utilization conversion and its circulation spectrum comprises:
The feature of extracting each characteristic cross-section of signal cycle spectrum is distinguished the signal of different modulating type.
Preferably, described each characteristic cross-section that utilizes signal cycle spectrum carries out signal parameter and estimates to comprise following any one or multinomial:
Extract the spectrum peak position information that comprises the signal carrier frequency information in the signal cycle spectrum signature cross section, utilize this spectrum peak position information calculations to obtain the carrier frequency of signal;
Extract the secondary peak positional information that comprises the signal wave bit rate information in the signal cycle spectrum signature cross section, utilize this secondary peak positional information calculation to obtain the baud rate of signal.
A kind of system of electromagnetic spectrum monitoring full frequency-domain comprises:
Signal acquiring unit is used to obtain the time-domain signal of intermediate-frequency receiver output;
Signal conversion unit is used for described time-domain signal is converted to frequency-region signal;
Computing unit is used to calculate each characteristic cross-section that described frequency-region signal circulation is composed;
Monitoring means is used to utilize the conversion of signals result and/or each characteristic cross-section of the circulation that calculates spectrum carries out the electromagnetic spectrum monitoring.
Alternatively, described monitoring means comprises following any one or a plurality of subelement:
The input subelement is used to utilize each characteristic cross-section of conversion of signals result or its circulation spectrum to carry out input;
The Modulation Mode Recognition subelement is used to utilize the frequency-region signal of conversion and each characteristic cross-section identification signal modulation system of circulation spectrum thereof;
The parameter Estimation subelement is used to utilize each characteristic cross-section of signal cycle spectrum to carry out the signal parameter estimation.
Alternatively, described input subelement comprises:
First detection sub-unit is used for the conversion of signals result is carried out power detection; Perhaps
Second detection sub-unit, the frequency that is used to extract described circulation spectrum are that 0 alpha cross section spectrum peak position information detects.
Preferably, described Modulation Mode Recognition subelement, the feature that specifically is used to extract each characteristic cross-section of signal cycle spectrum is distinguished the signal of different modulating type.
Alternatively, described parameter Estimation subelement comprises following any one or a plurality of subelement:
Carrier frequency estimator unit is used for extracting the spectrum peak position information that signal cycle spectrum signature cross section comprises the signal carrier frequency information, and utilizes this spectrum peak position information calculations to obtain the carrier frequency of signal;
Baud rate estimator unit is used for extracting the secondary peak positional information that signal cycle spectrum signature cross section comprises the signal wave bit rate information, and utilizes this secondary peak positional information calculation to obtain the baud rate of signal.
Embodiment of the invention electromagnetic spectrum monitoring method and system, at electromagnetic sensing net demands of applications, utilize signal discrete Fourier transform (DFT) result and circulation spectrum result, finish electromagnetic spectrum monitoring tasks such as input, parameter Estimation, Modulation Mode Recognition fully based on signal frequency domain information.Need not to store a large amount of time-domain signal samples, also need not the conversion back and forth of time-frequency domain signal, simplified the implementation complexity of electromagnetic spectrum monitoring greatly, also being easy to carry out hardware realizes, but can also guarantee algorithm response rate more flexibly simultaneously, can be applied in preferably on the sensor node, realize electromagnetic spectrum monitoring towards the electromagnetic sensing net.
Description of drawings
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use among the embodiment below, apparently, the accompanying drawing that describes below only is some embodiment that put down in writing among the present invention, for those of ordinary skills, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of embodiment of the invention electromagnetic spectrum monitoring method;
Fig. 2 is the concrete schematic diagram of using of of embodiment of the invention electromagnetic spectrum monitoring method;
Fig. 3 is the structural representation of embodiment of the invention electromagnetic spectrum monitoring system.
Embodiment
In order to make those skilled in the art person understand the scheme of the embodiment of the invention better, the embodiment of the invention is described in further detail below in conjunction with drawings and embodiments.
As shown in Figure 1, be the flow chart of embodiment of the invention electromagnetic spectrum monitoring method, may further comprise the steps:
Suppose that signal that intermediate-frequency receiver receives finished analog-to-digital conversion, down-conversion, extracted and step such as preliminary treatment down, the signal after handling through these is one and has more that the band of low frequency and lower sampling rate leads to digital signal.Wherein:
Analog-to-digital conversion is meant that with analog signal conversion be digital signal;
Down-converted is meant to have more low-frequency output signal with having the input signal of certain frequency, converting to, does not change the information content of signal and the process of modulation system usually;
Following extraction is handled and is meant with the process of lower speed to the signal resampling;
The rough estimate of the separation of signal and bandwidth, carrier frequency etc. is mainly finished in preliminary treatment.
It also is the treatment step that the electromagnetic spectrum monitoring needs experience usually in the prior art that above-mentioned these are handled, and concrete variety of processes is described in detail no longer one by one at this.
Particularly, suppose that the time-domain signal of intermediate-frequency receiver output is x (n), the DFT that can utilize fast fourier transform algorithm (FFT) signal calculated x (n) is X (k) as a result.
Usually, the signal that statistical property is cycle or multicycle smooth change is referred to as cyclo-stationary or cyclic stationary signal, and the circulation spectral theory is a main method of researching and analysing the cyclic stationary signal.
The circulation spectral density function
Expression signal x (t) is the relevant density with the spectral component at f-α/2 places in frequency f+α/2, and wherein, f is the frequency in the classical Fu Shi frequency spectrum, and α is the cycle frequency variable.Circulation spectrum signature cross section is meant the fixedly pairing alpha cross section of f, or the fixing pairing f of α cross section.
Such as, can calculate the alpha cross section that signal cycle is composed f=0
Signal cycle spectrum f=f
cAlpha cross section
Deng.
Step 104 is utilized the conversion of signals result and/or each characteristic cross-section of the circulation that calculates spectrum carries out the electromagnetic spectrum monitoring.
The electromagnetic spectrum that can carry out monitoring mainly contain following any one or multiple:
Utilize each characteristic cross-section of conversion of signals result or its circulation spectrum to carry out input;
Utilize the frequency-region signal of conversion and each characteristic cross-section identification signal modulation system of its circulation spectrum;
Utilize each characteristic cross-section of signal cycle spectrum to carry out the signal parameter estimation.
Respectively above-mentioned various monitorings are elaborated below.
(1) input
In embodiments of the present invention, can be accomplished in several ways detection to signal.
Such as, can finish the required input of electromagnetic spectrum monitoring by power detection to the conversion of signals result.
For another example, because noise does not have cyclostationarity, signal then has cyclostationarity more, therefore should be at the alpha cross section maximum value position of noise circulation spectrum f=0 in the position of α=0, and signal is quite different, therefore, can also be the detection of 0 cross section spectrum peak position information by each characteristic cross-section frequency of extracting described circulation spectrum, finish the required input of electromagnetic spectrum monitoring.
(2) identification signal modulation system
In embodiments of the present invention, the signal type that can discern comprises ASK (Amplitude Shift Keying, amplitude shift keying), FSK (Frequency-shift keying, frequency shift keying), MSK (minimum shift keying), BPSK (Binary Phase Shift Keying, two-phase PSK), QPSK (Quadrature Phase Shift Keying quarternary phase-shift keying (QPSK)), 8PSK (8 Phase Shift Keying, 8 phase-shift keyings), QAM multiple digital modulation types commonly used such as (Quadrature Amplitude Modulation, quadrature amplitude modulation).
Because unlike signal shows different characteristics on circulation spectrum signature cross section, therefore can distinguish the signal of different modulating type by the feature of extracting signal cycle spectrum signature cross section.At the alpha cross section of f=0 two significantly spectrum peaks are arranged as msk signal circulation spectrum, the 2ASK signal then has only a spectrum peak, just can finish the identification of MSK and 2ASK signal by extracting this spectrum peak, cross section number information so.
(3) signal parameter is estimated
Because the f=f of signal cycle spectrum
cAlpha cross section in time peak position comprise baud rate information, and the alpha cross section spectrum peak position of f=0 comprises the signal carrier frequency information, spectrum peak position that therefore can be by extracting respective cross-section and/or secondary peak positional information be carried out signal parameter and be estimated.Such as:
Can extract the spectrum peak position information that comprises the signal carrier frequency information in the signal cycle spectrum signature cross section, utilize this spectrum peak position information calculations to obtain the carrier frequency of signal;
Extract the secondary peak positional information that comprises the signal wave bit rate information in the signal cycle spectrum signature cross section, utilize this secondary peak positional information calculation to obtain the baud rate of signal;
Certainly, estimable signal parameter is not limited only to above-mentioned carrier frequency, baud rate in the embodiment of the invention, can also carry out other parameter Estimation, such as spread spectrum parameter etc., enumerates no longer one by one at this.
As seen, embodiment of the invention electromagnetic spectrum monitoring method, at electromagnetic sensing net demands of applications, utilize signal discrete Fourier transform (DFT) result and circulation spectrum result, finish electromagnetic spectrum monitoring tasks such as input, parameter Estimation, Modulation Mode Recognition fully based on signal frequency domain information.Need not to store a large amount of time-domain signal samples, also need not the conversion back and forth of time-frequency domain signal, simplified the implementation complexity of electromagnetic spectrum monitoring greatly.FFT also is easy to carry out hardware and realizes, but can also guarantee algorithm response rate more flexibly simultaneously as the quick implementation algorithm of DFT, can be applied in preferably on the sensor node, realizes the electromagnetic spectrum monitoring towards the electromagnetic sensing net.
Embodiment of the invention electromagnetic spectrum monitoring method mainly utilizes the DFT result of signal and circulation spectrum result to realize.Adopt the circulation spectral method can bring the benefit of following two aspects: on the one hand because circulation spectrum signature cross section comprises abundant information, comprise signal carrier frequency, baud rate, bandwidth, modulation system feature etc., for Modulation Identification and parameter Estimation provide great convenience, include the baud rate information and the spread spectrum parameter information of signal such as the pairing circulation spectrum signature of signal carrier frequency cross section, the circulation spectrum signature cross section of f=0 has then comprised the feature that signal carrier frequency, detection signal have or not and a lot of features of carrying out Modulation Identification; Circulation spectrum on the other hand utilizes the circulation spectrum signature of signal can finish most of modulation types as a kind of more comprehensively signal analysis instrument, as the Modulation Identification and the parameter Estimation of signals of communication such as ASK, FSK, MSK, BPSK, QPSK, 8PSK, QAM.
As shown in Figure 2, be a concrete schematic diagram of using of embodiment of the invention electromagnetic spectrum monitoring method.
In this example, may further comprise the steps:
Step 201 is utilized the DFT result of fast fourier transform algorithm FFT signal calculated x (n);
Step 202 is utilized the DFT signal calculated circulation as a result spectrum signature cross section of signal x (n), as
Deng;
Step 203 utilizes the DFT result of signal x (n) or signal cycle spectrum signature cross section to carry out input;
Step 204 is utilized DFT result, the signal cycle spectrum signature cross section of signal x (n), carries out the signal Modulation Mode Recognition, and signal type comprises multiple digital modulation types commonly used such as ASK, FSK, MSK, BPSK, QPSK, 8PSK, QAM;
Step 205 is utilized the result of signal cycle spectrum signature cross section and signal Modulation Mode Recognition, carries out signal parameter and estimates that estimated parameter comprises carrier frequency, bandwidth, baud rate and the spreading code parameter etc. of signal.
Need to prove, example shown shown in Figure 2 only be an idiographic flow, in actual applications, or a few monitorings wherein also can be only carried out in the monitoring of electromagnetic spectrum, must not handle according to above-mentioned flow process and do not limit.
One of ordinary skill in the art will appreciate that all or part of step that realizes in the foregoing description method is to instruct relevant hardware to finish by program, described program can be stored in the computer read/write memory medium, described storage medium, as: ROM/RAM, magnetic disc, CD etc.
Correspondingly, the embodiment of the invention also provides a kind of system of electromagnetic spectrum monitoring full frequency-domain, as shown in Figure 2, is a kind of structural representation of this system.
In this embodiment, described system comprises:
Signal acquiring unit 301 is used to obtain the time-domain signal of intermediate-frequency receiver output;
Monitoring means 304 is used to utilize the conversion of signals result and/or each characteristic cross-section of the circulation that calculates spectrum carries out the electromagnetic spectrum monitoring.
Wherein, described monitoring means 304 can comprise following any one or a plurality of subelement:
The input subelement is used to utilize each characteristic cross-section of conversion of signals result or its circulation spectrum to carry out input;
The Modulation Mode Recognition subelement, be used to utilize conversion frequency-region signal and and each characteristic cross-section, the identification signal modulation system of circulation spectrum;
The parameter Estimation subelement is used to utilize each characteristic cross-section of signal cycle spectrum to carry out the signal parameter estimation.
Wherein, each subelement can have multiple mode to realize, such as:
Described input subelement comprises: first detection sub-unit or second detection sub-unit.Described first detection sub-unit is used for the conversion of signals result is carried out power detection; The frequency that second detection sub-unit is used to extract described circulation spectrum is that 0 alpha cross section spectrum peak position information detects.
Described Modulation Mode Recognition subelement, the feature of each characteristic cross-section that can be by extracting the signal cycle spectrum is distinguished the signal of different modulating type.
Described parameter Estimation subelement can comprise following any one or a plurality of subelement:
Carrier frequency estimator unit is used for extracting the spectrum peak position information that signal cycle spectrum signature cross section comprises the signal carrier frequency information, and utilizes this spectrum peak position information calculations to obtain the carrier frequency of signal;
Baud rate estimator unit is used for extracting the secondary peak positional information that signal cycle spectrum signature cross section comprises the signal wave bit rate information, and utilizes this secondary peak positional information calculation to obtain the baud rate of signal.
Certainly, in the embodiment of the invention, described parameter Estimation subelement is not limited in said structure, can also comprise other parameter Estimation subelements, utilizes signal cycle spectrum signature cross section, finishes the estimation of corresponding signal parameter, such as bandwidth, spreading code parameter etc.
Embodiment of the invention electromagnetic spectrum monitoring system, at electromagnetic sensing net demands of applications, utilize signal discrete Fourier transform (DFT) result and circulation spectrum result, finish electromagnetic spectrum monitoring tasks such as input, parameter Estimation, Modulation Mode Recognition fully based on signal frequency domain information.Need not to store a large amount of time-domain signal samples, also need not the conversion back and forth of time-frequency domain signal, simplified the implementation complexity of electromagnetic spectrum monitoring greatly.FFT also is easy to carry out hardware and realizes, but can also guarantee algorithm response rate more flexibly simultaneously as the quick implementation algorithm of DFT, can be applied in preferably on the sensor node, realizes the electromagnetic spectrum monitoring towards the electromagnetic sensing net.
Need to prove that for system embodiment, because it is substantially similar in appearance to method embodiment, so describe fairly simplely, relevant part gets final product referring to the part explanation of method embodiment.System embodiment described above only is schematic, wherein said unit as the separating component explanation can or can not be physically to separate also, the parts that show as the unit can be or can not be physical locations also, promptly can be positioned at a place, perhaps also can be distributed on a plurality of network element.Can select wherein some or all of module to realize the purpose of present embodiment scheme according to the actual needs.Those of ordinary skills promptly can understand and implement under the situation of not paying creative work.
More than the embodiment of the invention is described in detail, used embodiment herein the present invention set forth, the explanation of above embodiment just is used for help understanding method and apparatus of the present invention; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (11)
1. an electromagnetic spectrum monitoring method is characterized in that, comprising:
Obtain the time-domain signal of intermediate-frequency receiver output;
Described time-domain signal is converted to frequency-region signal;
Calculate each characteristic cross-section of described frequency-region signal circulation spectrum;
Each characteristic cross-section of the circulation spectrum of utilizing the conversion of signals result and/or calculating carries out the electromagnetic spectrum monitoring.
2. method according to claim 1 is characterized in that, describedly described time-domain signal is converted to frequency-region signal comprises:
Utilize fast Fourier transform that described time-domain signal is converted to frequency-region signal.
3. method according to claim 1 is characterized in that, each characteristic cross-section of the described circulation spectrum of utilizing the conversion of signals result and/or calculating carries out the electromagnetic spectrum monitoring and comprises following any one or multinomial:
Utilize each characteristic cross-section of conversion of signals result or its circulation spectrum to carry out input;
Utilize the frequency-region signal of conversion and each characteristic cross-section identification signal modulation system of its circulation spectrum;
Utilize each characteristic cross-section of signal cycle spectrum to carry out the signal parameter estimation.
4. method according to claim 3 is characterized in that, described each characteristic cross-section that utilizes conversion of signals result or its circulation to compose carries out input and comprises:
The conversion of signals result is carried out power detection; Perhaps
The frequency of extracting described circulation spectrum is that 0 alpha cross section spectrum peak position information detects.
5. method according to claim 3 is characterized in that, each characteristic cross-section identification signal modulation system of the frequency-region signal of described utilization conversion and its circulation spectrum comprises:
The feature of extracting each characteristic cross-section of signal cycle spectrum is distinguished the signal of different modulating type.
6. method according to claim 3 is characterized in that, described each characteristic cross-section that utilizes signal cycle spectrum carries out signal parameter and estimates to comprise following any one or multinomial:
Extract the spectrum peak position information that comprises the signal carrier frequency information in the signal cycle spectrum signature cross section, utilize this spectrum peak position information calculations to obtain the carrier frequency of signal;
Extract the secondary peak positional information that comprises the signal wave bit rate information in the signal cycle spectrum signature cross section, utilize this secondary peak positional information calculation to obtain the baud rate of signal.
7. the system of electromagnetic spectrum monitoring full frequency-domain, it is held to levy and is, comprising:
Signal acquiring unit is used to obtain the time-domain signal of intermediate-frequency receiver output;
Signal conversion unit is used for described time-domain signal is converted to frequency-region signal;
Computing unit is used to calculate each characteristic cross-section that described frequency-region signal circulation is composed;
Monitoring means is used to utilize the conversion of signals result and/or each characteristic cross-section of the circulation that calculates spectrum carries out the electromagnetic spectrum monitoring.
8. system according to claim 7 is characterized in that, described monitoring means comprises following any one or a plurality of subelement:
The input subelement is used to utilize each characteristic cross-section of conversion of signals result or its circulation spectrum to carry out input;
The Modulation Mode Recognition subelement is used to utilize the frequency-region signal of conversion and each characteristic cross-section identification signal modulation system of circulation spectrum thereof;
The parameter Estimation subelement is used to utilize each characteristic cross-section of signal cycle spectrum to carry out the signal parameter estimation.
9. system according to claim 8 is characterized in that, described input subelement comprises:
First detection sub-unit is used for the conversion of signals result is carried out power detection; Perhaps
Second detection sub-unit, the frequency that is used to extract described circulation spectrum are that 0 alpha cross section spectrum peak position information detects.
10. system according to claim 8 is characterized in that,
Described Modulation Mode Recognition subelement, the feature that specifically is used to extract each characteristic cross-section of signal cycle spectrum is distinguished the signal of different modulating type.
11. system according to claim 8 is characterized in that, described parameter Estimation subelement comprises following any one or a plurality of subelement:
Carrier frequency estimator unit is used for extracting the spectrum peak position information that signal cycle spectrum signature cross section comprises the signal carrier frequency information, and utilizes this spectrum peak position information calculations to obtain the carrier frequency of signal;
Baud rate estimator unit is used for extracting the secondary peak positional information that signal cycle spectrum signature cross section comprises the signal wave bit rate information, and utilizes this secondary peak positional information calculation to obtain the baud rate of signal.
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| CN111800357A (en) * | 2020-07-03 | 2020-10-20 | 全球能源互联网研究院有限公司 | Method and system for distinguishing modulation types based on cyclic spectrum |
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| CN102694611A (en) * | 2012-06-04 | 2012-09-26 | 哈尔滨工业大学 | Method for adaptively and rapidly sensing cyclic spectrum in cognitive radio system |
| CN102694611B (en) * | 2012-06-04 | 2014-06-11 | 哈尔滨工业大学 | Method for adaptively and rapidly sensing cyclic spectrum in cognitive radio system |
| CN103841600A (en) * | 2014-03-13 | 2014-06-04 | 中国人民解放军信息工程大学 | Signal element rate estimation method and electromagnetic spectrum monitoring system of sensor network |
| CN106130942A (en) * | 2016-07-05 | 2016-11-16 | 东南大学 | A kind of wireless communication signals Modulation Identification based on Cyclic Spectrum and method for parameter estimation |
| CN106130942B (en) * | 2016-07-05 | 2019-10-11 | 东南大学 | A kind of wireless communication signals Modulation Identification and method for parameter estimation based on Cyclic Spectrum |
| CN106533591A (en) * | 2016-12-02 | 2017-03-22 | 上海无线电设备研究所 | Electromagnetic interference identification method for small base station |
| CN106533591B (en) * | 2016-12-02 | 2020-02-21 | 上海无线电设备研究所 | Small base station electromagnetic interference identification method |
| CN108134639A (en) * | 2017-12-12 | 2018-06-08 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | A kind of frequency-fixed signal reorganization method based on spectrum monitoring data |
| CN108134639B (en) * | 2017-12-12 | 2021-01-29 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Fixed frequency signal editing method based on frequency spectrum monitoring data |
| CN109634954A (en) * | 2018-11-14 | 2019-04-16 | 同方电子科技有限公司 | A kind of radio-frequency spectrum date storage method |
| CN109634954B (en) * | 2018-11-14 | 2023-04-25 | 同方电子科技有限公司 | Radio frequency spectrum data storage method |
| CN111800357A (en) * | 2020-07-03 | 2020-10-20 | 全球能源互联网研究院有限公司 | Method and system for distinguishing modulation types based on cyclic spectrum |
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