CN107809256A - A kind of shortwave suppressing method under arrowband interference - Google Patents
A kind of shortwave suppressing method under arrowband interference Download PDFInfo
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- CN107809256A CN107809256A CN201711059914.5A CN201711059914A CN107809256A CN 107809256 A CN107809256 A CN 107809256A CN 201711059914 A CN201711059914 A CN 201711059914A CN 107809256 A CN107809256 A CN 107809256A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/06—Receivers
- H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
- H04B1/1027—Means associated with receiver for limiting or suppressing noise or interference assessing signal quality or detecting noise/interference for the received signal
- H04B1/1036—Means associated with receiver for limiting or suppressing noise or interference assessing signal quality or detecting noise/interference for the received signal with automatic suppression of narrow band noise or interference, e.g. by using tuneable notch filters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
- H04B1/707—Spread spectrum techniques using direct sequence modulation
- H04B1/7097—Interference-related aspects
- H04B1/71—Interference-related aspects the interference being narrowband interference
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/0224—Channel estimation using sounding signals
Abstract
The invention discloses a kind of shortwave suppressing method under arrowband interference, comprise the following steps：Initial estimation is carried out to the pilot signal of short wave channel using DV algorithms, filter for the first time is carried out to the initial estimate under time domain to make an uproar, receive the impulse ultra-wideband signal from wireless channel, frequency pilot sign waveform and load signs waveform are observed respectively, introduce threshold value λ to make an uproar to second of filter of initial value progress and obtain pilot signal estimate, carry out the estimation that whole channel is got in DFT discrete Fourier transforms change in return.The present invention has carried out filter twice to the initial estimation of channel and made an uproar, and compensate for DFT (discrete Fourier transform) channel estimation method and filters halfway problem of making an uproar.Random narrow-band interference is adaptively detected using compressed sensing and restructing algorithm and is suppressed, and improves receiver correlate template estimated accuracy；Disturbed by accurately estimating and suppressing to be superimposed upon the high power arrowband in ultra-broadband signal, improve the detection reliability of receiver.
Description
Technical field
The present invention relates to communication technical field, more particularly to a kind of shortwave suppressing method under arrowband interference.
Background technology
For CDMA signals as pseudo-random signal, power spectrum diffuses to whole baseband bandwidth, removes arrowband interference
(NarrowBand Interference) only can make CDMA signals by slight damage.So CDMA signals have it is certain anti-narrow
Band jamming performance, as GLONASS (GlobalNavigationSatelliteSystem, GNSS) signal itself can
The interference of 30dB jamming-to-signal ratios is resisted, but just need to can believe GNSS by targetedly antijamming measure for stronger arrowband interference
Number it is correctly processed.
Arrowband strong jamming is common interference in actual applications, and it is suppressed to complete in a time domain or in a frequency domain.When
Domain method utilizes the correlation of arrowband interference, carries out lowest mean square (LeastMean Squares, LMS) algorithm or recursion most
A young waiter in a wineshop or an inn multiplies (RecursiveLeastSquares, RLS) algorithm adaptive-filtering, time-domain filtering exist hardware implementation complexity it is high,
The shortcomings of convergence time is slowly and group delay changes；Frequency domain method then passes through FFT (FastFourier
Transformation, FFT) or fast fourier inverse transformation (InverseFastFourier Transformation,
IFFT), frequency zero setting residing for interference is disturbed with eliminating.Wherein frequency domain algorithm is due to that can utilize FFT/IFFT fast algorithms to subtract
Few amount of calculation, and the linear phase of Interference Suppression System is can guarantee that, thus be widely applied.Frequency domain filtering common at present
Mainly there are following two modes：
First way, the simply interference mitigation technology based on FFT/IFFT, data are counted by windowing process, FFT
Calculate, exported after NBI filtering process and IFFT calculating, although this method can remove arrowband interference, windowing process is reducing
While spectrum leakage during FFT avoids the interference from diffusing to other frequencies, exist and cause input signal to distort, cause output signal
Signal to noise ratio the shortcomings that incurring loss.
The second way, for reduce adding window caused by snr loss, based on superposition FFT (OFFT,
OverlappedFastFourierTransform) interference mitigation technology be suggested.Basic thought is to answer input data
Make and shift adding window, two windowed datas are obtained together with former windowed data, carry out FFT, and be filtered in frequency domain, filtered
The time domain data that IFFT obtains removing interference is carried out after ripple, two paths of data alignment merging is finally obtained into final output.This method
Existing deficiency mainly have it is following some：First, disturbing not necessarily always presence, but interference eliminator works always, increase need not
The system power dissipation wanted；Second, FFT/IFFT length is fixed, it is limited for arrowband interference detection sensitivity；Third, window function is solid
It is fixed, it is unfavorable for filtering out for big dynamic range interference；Fourth, the method for delayed data is general in existing OFFT disturbance restraining methods
It is the module for increasing a delayed data before adding window, for that input data will be cached all the way, so as to former with another way
Beginning data export carry out windowing process together, and after frequency domain filtering, equally it is being also required to increase the module of a delayed data
That circuit-switched data not postponed is postponed, so that it can with having carried out that circuit-switched data of delay before
Alignment, exported with carrying out follow-up merging, this method has the problem of resource overhead is big and design complexities are high.
The content of the invention
In view of this, technical problem solved by the invention is to provide a kind of shortwave suppression side under arrowband interference
Method, Interference Detection is carried out to the signal all the way of input by interference detector and obtains Interference Detection information, and outputed it to narrow
Band interference eliminator, the narrow-band interference canceller carry out arrowband according to the Interference Detection information to the another way signal of input
AF panel, solve prior art present in system power dissipation is big, detectivity is limited, window function is fixed and complex designing
Spend the problem of high.
The present invention solves above-mentioned technical problem by the following technical programs：
A kind of shortwave suppressing method under arrowband interference, comprise the following steps：
S1, under being disturbed in arrowband, after receiving terminal receives signal, the pilot signal of short wave channel is carried out just using DV algorithms
Begin to estimate to obtain the initial estimate under frequency domain, then convert the initial estimate IDFT inverse discrete fourier transforms under frequency domain
Obtain the initial estimate under time domain；
S 2, according to DFT discrete Fourier transform channel estimation method principles, i.e., the length of channel impulse response is less than and followed
Ring prefix code Ng, the i.e. estimate more than the length Ng of cyclic prefix code are noise, and the initial estimate under time domain is carried out
Filter is made an uproar for the first time；
S 3, the impulse ultra-wideband signal from wireless channel is received, and the signal is sent into receiving filter module, it is right
Impulse ultra-wideband signal filters out out-of-band noise and interference；
S 4, frequency pilot sign waveform and load signs waveform are observed respectively, and pilot observations sequence is sent to pilot tone
Memory module is observed, load observation sequence is sent to load observation memory module, keeps in the observation sequence of each frequency pilot sign waveform,
And it is sent to arrowband interference estimation block and subtracter block；Using OMP algorithms estimation arrowband interference, the pilot tone of estimation is accorded with
Pilot narrow-band disturbance-observer module is sent in the arrowband interference contained in number waveform, narrow by containing in the load signal waveform of estimation
Load Suppression of narrow band interference module is sent in band interference；
S 5, introducing threshold value λ carry out filtering for the second time to initial value makes an uproar and obtains pilot signal estimate：To 0≤n≤Ng-1's
HDFT (n) carries out filter and made an uproar, i.e., when the amplitude of hDFT (n) signals is less than λ, being considered as this signal is noise and is set to 0, when
When the amplitude of hDFT (n) signals is more than λ, this signal as useful signal and is just kept constant, then passes through noise and pilot tone
The probability density function of the amplitude of the channel impulse response of estimation obtains optimal threshold λ best, and is obtained according to optimal threshold λ best
Go out the final estimate of pilot tone；
S 6, according to interpolation method and pilot configuration pilot tone is estimated, into row interpolation, then to carry out DFT direct computation of DFTs to it
Leaf transformation becomes the estimation for getting whole channel in return.
Further, in addition to step S7：
The interference of frequency pilot sign arrowband that arrowband interference estimation block is estimated is observed respectively, and will observation obtain it is narrow
Band disturbance-observer sequence is sent to arrowband disturbance-observer memory module；Temporary arrowband disturbance-observer sequence, and it is sent to subtracter
Module；Using subtracter, its corresponding arrowband disturbance-observer sequence is subtracted from each pilot observations sequence, obtains and suppresses arrowband
The pilot observations sequence of interference；The pilot observations sequence disturbed the suppression arrowband obtained in subtracter block carries out summation and made even
Operation obtains average pilot observation sequence, to reduce the influence of additive white Gaussian noise, and is sent to signal correlate template
Generation module；Signal correlate template generation module：The average pilot observation sequence obtained according to vectorial averaging module, utilizes OMP
Algorithm reconstruction signal correlate template, and it is sent to correlation demodulation module.
Optionally, in step sl, short wave channel uses ITS short wave channel modes.
Further, the step S7 comprises the following steps：
Step S71：Load signal is suitably postponed, and is sent to load Suppression of narrow band interference module；
Step S72：The temporary load observation sequence obtained by observation module, and by the observation sequence of each load signal according to
It is secondary to be sent to arrowband interference estimation block；
Step S73：This that estimated by arrowband interference estimation block is subtracted from each load signal waveform using subtracter to bear
The arrowband interference included in information carrying number, and it is sent to correlation demodulation module by the load signal after arrowband disturbs is suppressed；
Step S74：Using signal templates caused by signal correlate template generation module as correlate template, using correlator and sentence
Certainly device carries out correlation demodulation to the load signal after arrowband disturbs that suppresses of load Suppression of narrow band interference module output.
Filter twice is carried out to the initial estimation of channel by the shortwave suppressing method under arrowband interference of the present invention to make an uproar,
It compensate for DFT (discrete Fourier transform) channel estimation method and filter halfway problem of making an uproar.And do not increasing answering for channel estimation
It is miscellaneous degree and do not need channel statistical information in the case of, by introduce threshold value effectively filtered out tradition be less than 3kHz arrowbands it is short
The arrowband interference that ripple signal is brought, improves channel estimating performance.The pilot tone of the present invention uses pectinate texture simultaneously, effectively suppresses
The rapid fading of short-wave signal.Sampling rate is greatly reduced by compressed sensing, breaches the skill that traditional sampling theory faces
Art bottleneck, be advantageous to control receiver cost and power consumption；Random narrow-band is adaptively detected using compressed sensing and restructing algorithm
Disturb and suppressed, improve receiver correlate template estimated accuracy；Taken a message by accurately estimating and suppressing to be superimposed upon ultra-wide
High power arrowband interference in number, improve the detection reliability of receiver.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, and in order to allow the above and other objects, features and advantages of the present invention can
Become apparent, below in conjunction with preferred embodiment, and coordinate accompanying drawing, describe in detail as follows.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the shortwave suppressing method under arrowband interference of the present invention.
Embodiment
The invention will now be described in detail with reference to the accompanying drawings, its as part of this specification, illustrates this by embodiment
The principle of invention, other aspects of the present invention, feature and its advantage will be become apparent by the detailed description.Joined
According to accompanying drawing in, same or analogous part is represented using identical drawing reference numeral in different figures.
As shown in figure 1, a kind of shortwave suppressing method under arrowband interference provided in an embodiment of the present invention, including following step
Suddenly：
Under arrowband interference, after receiving terminal receives signal, the pilot signal of short wave channel is carried out using DV algorithms initial
Estimation obtains the initial estimate under frequency domain, then becomes the initial estimate IDFT inverse discrete fourier transforms under frequency domain and gets in return
Initial estimate under to time domain.
According to DFT discrete Fourier transform channel estimation method principles, i.e., before the length of channel impulse response is less than circulation
Sew a yard Ng, i.e. the estimate more than the length Ng of cyclic prefix code is all noise, and first is carried out to the initial estimate under time domain
Secondary filter is made an uproar.
The impulse ultra-wideband signal from wireless channel is received, and the signal is sent into receiving filter module, to pulse
Ultra-broadband signal filters out out-of-band noise and interference.
Frequency pilot sign waveform and load signs waveform are observed respectively, and pilot observations sequence is sent to pilot observations
Memory module, load observation sequence is sent to load observation memory module, keeps in the observation sequence of each frequency pilot sign waveform, and will
It is sent to arrowband interference estimation block and subtracter block；Using OMP algorithms estimation arrowband interference, by the frequency pilot sign ripple of estimation
Pilot narrow-band disturbance-observer module is sent in the arrowband interference contained in shape, and the arrowband contained in the load signal waveform of estimation is done
Disturb and be sent to load Suppression of narrow band interference module.
Introducing threshold value λ carries out filtering for the second time to initial value makes an uproar and obtains pilot signal estimate：To 0≤n≤Ng-1 hDFT
(n) carry out filter to make an uproar, i.e., when the amplitude of hDFT (n) signals is less than λ, being considered as this signal is noise and is set to 0, works as hDFT
(n) when the amplitude of signal is more than λ, this signal as useful signal and is just kept constant, then estimated by noise and pilot tone
The probability density function of amplitude of channel impulse response obtain optimal threshold λ best, and drawn and led according to optimal threshold λ best
The final estimate of frequency.
Pilot tone is estimated according to interpolation method and pilot configuration, into row interpolation, then to carry out it DFT discrete fourier changes
Transformation gets the estimation of whole channel in return.
The interference of frequency pilot sign arrowband that arrowband interference estimation block is estimated is observed respectively, and will observation obtain it is narrow
Band disturbance-observer sequence is sent to arrowband disturbance-observer memory module；Temporary arrowband disturbance-observer sequence, and it is sent to subtracter
Module；Using subtracter, its corresponding arrowband disturbance-observer sequence is subtracted from each pilot observations sequence, obtains and suppresses arrowband
The pilot observations sequence of interference；The pilot observations sequence disturbed the suppression arrowband obtained in subtracter block carries out summation and made even
Operation obtains average pilot observation sequence, to reduce the influence of additive white Gaussian noise, and is sent to signal correlate template
Generation module；Signal correlate template generation module：The average pilot observation sequence obtained according to vectorial averaging module, utilizes OMP
Algorithm reconstruction signal correlate template, and it is sent to correlation demodulation module.
In step sl, short wave channel uses ITS short wave channel modes.
The step S7 comprises the following steps：
Load signal is suitably postponed, and is sent to load Suppression of narrow band interference module；
The temporary load observation sequence obtained by observation module, and the observation sequence of each load signal is sent to successively narrow
Band interference estimation block；
Subtracted using subtracter from each load signal waveform in the load signal estimated by arrowband interference estimation block
Comprising arrowband interference, and by suppress arrowband interference after load signal be sent to correlation demodulation module；
Using signal templates caused by signal correlate template generation module as correlate template, using correlator and decision device to negative
Carry the load signal progress correlation demodulation suppressed after arrowband interference of Suppression of narrow band interference module output.
Filter twice is carried out to the initial estimation of channel by the shortwave suppressing method under arrowband interference of the present invention to make an uproar,
It compensate for DFT (discrete Fourier transform) channel estimation method and filter halfway problem of making an uproar.And do not increasing answering for channel estimation
It is miscellaneous degree and do not need channel statistical information in the case of, by introduce threshold value effectively filtered out tradition be less than 3kHz arrowbands it is short
The arrowband interference that ripple signal is brought, improves channel estimating performance.The pilot tone of the present invention uses pectinate texture simultaneously, effectively suppresses
The rapid fading of short-wave signal.Sampling rate is greatly reduced by compressed sensing, breaches the skill that traditional sampling theory faces
Art bottleneck, be advantageous to control receiver cost and power consumption；Random narrow-band is adaptively detected using compressed sensing and restructing algorithm
Disturb and suppressed, improve receiver correlate template estimated accuracy；Taken a message by accurately estimating and suppressing to be superimposed upon ultra-wide
High power arrowband interference in number, improve the detection reliability of receiver.
Described above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (4)
1. a kind of shortwave suppressing method under arrowband interference, it is characterised in that comprise the following steps：
S1, under being disturbed in arrowband, after receiving terminal receives signal, the pilot signal of short wave channel is initially estimated using DV algorithms
Meter obtains the initial estimate under frequency domain, then converts to obtain by the initial estimate IDFT inverse discrete fourier transforms under frequency domain
Initial estimate under time domain；
S2, cyclic prefix is less than according to DFT discrete Fourier transform channel estimation method principles, the i.e. length of channel impulse response
Code Ng, i.e. the estimate more than the length Ng of cyclic prefix code is all noise, and the initial estimate under time domain is carried out for the first time
Filter is made an uproar；
S3, the impulse ultra-wideband signal from wireless channel is received, and the signal is sent into receiving filter module, pulse is surpassed
Broadband signal filters out out-of-band noise and interference；
S4, frequency pilot sign waveform and load signs waveform are observed respectively, and pilot observations sequence is sent to pilot observations
Memory module, load observation sequence is sent to load observation memory module, keeps in the observation sequence of each frequency pilot sign waveform, and will
It is sent to arrowband interference estimation block and subtracter block；Using OMP algorithms estimation arrowband interference, by the frequency pilot sign ripple of estimation
Pilot narrow-band disturbance-observer module is sent in the arrowband interference contained in shape, and the arrowband contained in the load signal waveform of estimation is done
Disturb and be sent to load Suppression of narrow band interference module；
S5, introducing threshold value λ carry out filtering for the second time to initial value makes an uproar and obtains pilot signal estimate：To 0≤n≤Ng-1 hDFT
(n) carry out filter to make an uproar, i.e., when the amplitude of hDFT (n) signals is less than λ, being considered as this signal is noise and is set to 0, works as hDFT
(n) when the amplitude of signal is more than λ, this signal as useful signal and is just kept constant, then estimated by noise and pilot tone
The probability density function of amplitude of channel impulse response obtain optimal threshold λ best, and drawn and led according to optimal threshold λ best
The final estimate of frequency；
S6, according to interpolation method and pilot configuration pilot tone is estimated, into row interpolation, then to carry out DFT discrete Fourier transforms to it
Become the estimation for getting whole channel in return.
2. the shortwave suppressing method according to claim 1 under arrowband interference, it is characterised in that：Also include step S7：
The frequency pilot sign arrowband interference that arrowband interference estimation block is estimated is observed respectively, and the arrowband that observation is obtained is done
Disturb observation sequence and be sent to arrowband disturbance-observer memory module；Temporary arrowband disturbance-observer sequence, and it is sent to subtracter block；
Using subtracter, its corresponding arrowband disturbance-observer sequence is subtracted from each pilot observations sequence, obtains and suppresses arrowband interference
Pilot observations sequence；The pilot observations sequence disturbed the suppression arrowband obtained in subtracter block carries out summation and takes average behaviour
Make to obtain average pilot observation sequence, to reduce the influence of additive white Gaussian noise, and be sent to the generation of signal correlate template
Module；Signal correlate template generation module：The average pilot observation sequence obtained according to vectorial averaging module, utilizes OMP algorithms
Reconstruction signal correlate template, and it is sent to correlation demodulation module.
3. the shortwave suppressing method according to claim 1 under arrowband interference, it is characterised in that：In step sl, it is short
Ripple channel uses ITS short wave channel modes.
4. the shortwave suppressing method according to claim 2 under arrowband interference, it is characterised in that the step S7 includes
Following steps：
Step S71：Load signal is suitably postponed, and is sent to load Suppression of narrow band interference module；
Step S72：The temporary load observation sequence obtained by observation module, and the observation sequence of each load signal is given successively
Toward arrowband interference estimation block；
Step S73：The load estimated by arrowband interference estimation block is subtracted from each load signal waveform using subtracter to believe
The arrowband interference included in number, and it is sent to correlation demodulation module by the load signal after arrowband disturbs is suppressed；
Step S74：, as correlate template, correlator and decision device are utilized using signal templates caused by signal correlate template generation module
Correlation demodulation is carried out to the load signal after arrowband disturbs that suppresses of load Suppression of narrow band interference module output.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109815877A (en) * | 2019-01-17 | 2019-05-28 | 北京邮电大学 | A kind of method and device for noise reduction of satellite-signal |
| CN111262754A (en) * | 2020-01-16 | 2020-06-09 | 磐基技术有限公司 | Narrow-band interference detection method based on distortion power removal and communication device thereof |
| CN112019284A (en) * | 2020-08-27 | 2020-12-01 | 中电科仪器仪表有限公司 | Narrow-band signal time difference calculation method and system under low signal-to-noise ratio |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103763227A (en) * | 2014-01-07 | 2014-04-30 | 清华大学 | Narrow-band interference estimating and eliminating method and device based on compressed sensing |
| CN103873111A (en) * | 2014-03-25 | 2014-06-18 | 山东大学 | Narrow-band interference suppression system and method adopting compressed sensing technology and used for pulse ultra wideband receiver |
| CN104618277A (en) * | 2015-01-08 | 2015-05-13 | 重庆邮电大学 | Short wave OFDM (orthogonal frequency division multiplexing) channel estimating method in narrow band interference |
| EP2933928A1 (en) * | 2014-04-16 | 2015-10-21 | Digi International Inc. | Low complexity narrowband interference suppression |
-
2017
- 2017-11-01 CN CN201711059914.5A patent/CN107809256A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103763227A (en) * | 2014-01-07 | 2014-04-30 | 清华大学 | Narrow-band interference estimating and eliminating method and device based on compressed sensing |
| CN103873111A (en) * | 2014-03-25 | 2014-06-18 | 山东大学 | Narrow-band interference suppression system and method adopting compressed sensing technology and used for pulse ultra wideband receiver |
| EP2933928A1 (en) * | 2014-04-16 | 2015-10-21 | Digi International Inc. | Low complexity narrowband interference suppression |
| CN104618277A (en) * | 2015-01-08 | 2015-05-13 | 重庆邮电大学 | Short wave OFDM (orthogonal frequency division multiplexing) channel estimating method in narrow band interference |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109815877A (en) * | 2019-01-17 | 2019-05-28 | 北京邮电大学 | A kind of method and device for noise reduction of satellite-signal |
| CN109815877B (en) * | 2019-01-17 | 2020-10-02 | 北京邮电大学 | Noise reduction processing method and device for satellite signals |
| CN111262754A (en) * | 2020-01-16 | 2020-06-09 | 磐基技术有限公司 | Narrow-band interference detection method based on distortion power removal and communication device thereof |
| CN111262754B (en) * | 2020-01-16 | 2021-11-02 | 磐基技术有限公司 | Narrow-band interference detection method based on distortion power removal and communication device thereof |
| CN112019284A (en) * | 2020-08-27 | 2020-12-01 | 中电科仪器仪表有限公司 | Narrow-band signal time difference calculation method and system under low signal-to-noise ratio |
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Application publication date: 20180316 |