CN110007991A - One kind being based on PXI platform software radio distributed synchronization collecting method - Google Patents
One kind being based on PXI platform software radio distributed synchronization collecting method Download PDFInfo
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- CN110007991A CN110007991A CN201910122712.3A CN201910122712A CN110007991A CN 110007991 A CN110007991 A CN 110007991A CN 201910122712 A CN201910122712 A CN 201910122712A CN 110007991 A CN110007991 A CN 110007991A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04847—Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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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
- H04B1/0003—Software-defined radio [SDR] systems, i.e. systems wherein components typically implemented in hardware, e.g. filters or modulators/demodulators, are implented using software, e.g. by involving an AD or DA conversion stage such that at least part of the signal processing is performed in the digital domain
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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
- H04B1/713—Spread spectrum techniques using frequency hopping
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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
- H04B1/713—Spread spectrum techniques using frequency hopping
- H04B1/7156—Arrangements for sequence synchronisation
Abstract
The invention discloses one kind to be based on PXI platform software radio distributed synchronization collecting method, synchronizes triggering, same to sampling clock, with the setting of local oscillator to host computer and multiple slave computers before signal acquisition；" acquiring data " button is clicked on noise spectrum monitoring data flow table and analysis platform in host computer, completes data flow table parameter configuration, and data acquisition is controlled, analyzes and caches in real time in real time；" collection analysis " button is clicked on noise spectrum monitoring data flow table and analysis platform, and normal signal is analyzed；Finally Frequency Hopping Signal is detected.Signal acquisition synchronization accuracy of the present invention is high, channel data frequency deviation is small, data throughout is high, provide compared with prior art high reliablity, it is with high accuracy simultaneously, also possess more portable advantage.
Description
Technical field
It is specifically that one kind is based on the present invention relates to computer software, automatic test and technology of instrument and meter field
PXI platform software radio distributed synchronization collecting method.
Background technique
PXI Software Radio platform provides the integrated software and hardware for rapid prototyping wireless communication system
Scheme receives and dispatches instrument and high performance FPGA processing and rapid prototyping ability in conjunction with state-of-the-art RF, it is complete that this can be used
Platform using the graphical system design method that existing software I P can be supported to reuse, development prototype, greatly contracts more quickly
The short development time.
The acquisition for being applied to multiple cases based on PXI platform software radio distributed synchronization acquisition technique is synchronous, up to receives
Second grade is synchronous, and meeting algorithm requirement needs very high degree of correlation verifying.
Summary of the invention
The purpose of the present invention is to provide one kind to be based on PXI platform software radio distributed synchronization collecting method,
Has the frequency range of 200MHz ~ 4.4GHz, and can be in the case where maximum bandwidth 100MHz, multiple cases distribution (is deployed in not
With area) carry out complete signal flow table；Be provided simultaneously in real time analysis and ex-post analysis, in real time analysis in addition to signal time domain,
Frequency domain and when, frequency domain conventional analysis outside, moreover it is possible to carry out frequency modulation detection and analysis.
The present invention is achieved through the following technical solutions: one kind is adopted based on PXI platform software radio distributed synchronization data
Set method, specifically includes the following steps:
Step F1: triggering, same sampling clock are synchronized to host computer and multiple slave computers before signal acquisition, set with local oscillator
It sets；
Step F2: clicking " acquisition data " button on the noise spectrum monitoring data flow table and analysis platform in host computer, complete
At data flow table parameter configuration, data acquisition is controlled, analyzes and caches in real time in real time；
Step F3: on noise spectrum monitoring data flow table and analysis platform click " collection analysis " button, to normal signal into
Row analysis；
Step F4: Frequency Hopping Signal is detected.
Further, in order to preferably realize the present invention, the synchronous triggering setting of the step F1 is specifically referred to: will be upper
The machine time of machine is handed down to multiple slave computers, and host computer is issued to multiple slave computers when starting acquisition instructions and starting acquisition
Between；
The same sampling clock setting of the step F1 specifically refers to: the sampling clock of any one slave computer is transmitted to the machine
CLK OUT terminal mouth reinjects the port CLK IN of remaining slave computer；
The same local oscillator setting of the step F1 specifically refers to: every slave computer utilizes two piece of 5792 adapter and one piece of 571 adaptation
Device generates a local oscillator, is injected separately into two pieces of 5792 adapters by the power splitter inside slave computer and reaches same local oscillator.
Further, in order to preferably realize the present invention, the step F2 specifically includes the following steps:
Step F21: " acquisition data " button, bullet are clicked on the noise spectrum monitoring data flow table and analysis platform in host computer
The dialog box of " data flow table parameter configuration " out；
Step F22: cache-time, holding time, each channel parameters are carried out in the dialog box of " data flow table parameter configuration "
Configuration, and show that data at this time store basic path and confirm preservation；
Step F23: after completing data flow table parameter configuration, into data acquisition interface, data acquisition is controlled, is divided in real time
Analysis and in real time caching.
Further, in order to preferably realize the present invention, the step F22 specifically includes the following steps:
Step F22-1: the channel number that need to be used is selected in the channel selecting area of data acquisition interface；
Step F22-2: " channel configuration " button, pop-up are clicked in the task number input of data acquisition interface and parameter configuration area
" data flow table parameter configuration " dialog box, input this time acquires the task name of flow table in task name input field, then clicks
" task names setting "；If the task names exist, platform adds timestamp after the task names automatically；
Step F23-3: the center of the frequency domain figure functional areas selection display signal in real-time analytic function area in data acquisition interface
Frequency vernier and its respective intensities, FL frequency vernier and its respective intensities, FH frequency vernier and its respective intensities；Data acquire boundary
The figure show area in face shows the centre frequency vernier of signal, FL frequency vernier, FH frequency vernier；User is manually to display
FL frequency vernier, FH frequency vernier are moved, and calculate three dB bandwidth more accurate；Or platform calculates automatically according to current demand signal
Three dB bandwidth is simultaneously shown；
Step F22-4: it is carried out in the spectral resolution of the frequency domain figure functional areas setting signal in real-time analytic function area, and to frequency spectrum
Median filtering and match exponents setting；
Step F22-5: signal time-domain diagram intensity colors are adjusted in the time-frequency domain functional areas in real-time analytic function area；
Step F22-6: real-time analytic function area shared functional areas respectively to the time-domain diagram of signal, frequency domain figure, time-frequency figure along X
Axis, XY axis, Y direction zoom in and out setting.
Further, in order to preferably realize the present invention, the step F23 specifically includes the following steps:
Step F23-1: " starting flow table " button is hit in the control class mark of data acquisition interface, platform starts the data to acquisition
Carry out real-time flow table；
Step F23-2: " terminating flow table " button is hit in the control class mark of data acquisition interface, data are flowed in platform stopping
Disk, but continue to acquisition data and analyze in real time；Then caching flow table data and real-time flow table data are carried out being spliced to form one
A file, completion splicing rear platform prompt user, which is spliced, successfully to be amounted to the flow table time of this flow table task；
Step F23-3: user intercepts the channel and corresponding signal graph type that current Graphics show area is included, and is stored in
In the file that user specifies；It is then log out this acquisition tasks.
Further, in order to preferably realize the present invention, the step F3 specifically includes the following steps:
Step F31: " collection analysis " button is clicked on noise spectrum monitoring data flow table and analysis platform, " selection is appointed for pop-up
Business " dialog box；
Step F32: after user selects corresponding task and parse in " selection task " dialog box, normal signal and frequency hopping letter are obtained
Number, the configuration parameter of normal signal is configured and shows relevant configured parameter；
Step F33: enter normal signal assay surface, normal signal is analyzed.
Further, in order to preferably realize the present invention, the step F32 specifically includes the following steps:
Step F32-1: user clicks " normal signal analysis " button in " selection task " dialog box after obtaining normal signal, into
Enter normal signal assay surface；
Step F32-2: channel indication signal number is set in the channel of normal signal assay surface and image type selection area
With image type in image show area；And the time-domain diagram, frequency domain figure, time-frequency figure of display channel signal are set；
Step F32-3: the essence in the frequency domain figure functional areas setting signal frequency coordinate axis rod interval of normal signal assay surface
Degree, beginning and end frequency are to zoom in or out frequency domain figure；And show spectrogram span and centre frequency, then frequency spectrum point is set
Resolution；Then signal is filtered and filter order is set；
Step F32-4: the time-frequency figure functional areas of normal signal assay surface to the time-frequency figure intensity of signal and corresponding color into
Row setting.
Further, in order to preferably realize the present invention, the step F33 specifically includes the following steps:
Step F33-1: user takes out the progress of control current demand signal analysis using the time of normal signal assay surface；
Step F33-2: after data analysis just starting or user's click " stopping " button, control of the user in normal signal assay surface
It clicks " parameter configuration " button and checks each channel parameters and the centre frequency and analysis bandwidth of each channel signal are carried out in area processed
Setting；
Step F33-3: what return normal signal assay surface interception current Graphics show area was included after completion parameter configuration leads to
The corresponding graph style in road and each channel, and be stored in the file that user specifies.
Further, in order to preferably realize the present invention, the step F4 specifically includes the following steps:
Step F41: after being compressed to data, the calculating of first time thresholding is carried out, obtains threshold value；
Step F42: Frequency Hopping Signal detection is carried out to data, obtains the element of Frequency Hopping Signal；
Step F43: the testing result of Frequency Hopping Signal is exported to host computer.
Working principle:
More slave computers are controlled by a host computer, every slave computer is provided with FPGA-7975R processor, point
Not Cai Ji signal and realize the real-time flow table of signal, Signal online analysis, signal ex-post analysis, signal frequency modulation detection function.
Compared with prior art, the present invention have the following advantages that and the utility model has the advantages that
Signal acquisition synchronization accuracy of the present invention is high, channel data frequency deviation is small, data throughout is high, provides compared with prior art reliability
It is high, with high accuracy simultaneously, also possess more portable advantage.
Detailed description of the invention
Fig. 1 is schematic structural diagram of the device of the invention；
Fig. 2 is noise spectrum monitoring data flow table and analysis platform main interface；
Fig. 3 is data flow table parameter configuration dialog box；
Fig. 4 is data acquisition interface；
Fig. 5 is only to press lower channel interface for the moment；
Interface when Fig. 6 is by lower channel one and channel two；
Fig. 7 is data flow table parameter configuration dialog box；
Fig. 8 is that schematic diagram is arranged in task names；
Fig. 9 is real-time analytic function area schematic diagram；
Figure 10 is frequency domain figure functional areas schematic diagram；
Figure 11 is that schematic diagram is arranged in spectral resolution；
Figure 12 is that time-frequency figure intensity and corresponding color adjust schematic diagram；
Figure 13 is that schematic diagram is arranged in zoom direction；
Figure 14 is noise spectrum monitoring data flow table and analysis platform interface；
Figure 15 is selection task dialogue frame；
Figure 16 is normal signal assay surface；
Figure 17 is that channel and image type select area's schematic diagram；
Time-domain diagram when Figure 18 is four channels；
Frequency domain figure when Figure 19 is three channels；
Time-frequency figure when Figure 20 is two channels；
Figure 21 is frequency domain figure functional areas schematic diagram；
Figure 22 is that time-frequency figure intensity colors adjust schematic diagram；
Figure 23 is control zone schematic diagram；
Figure 24 is that normal signal analyzes parameter configuration dialog box；
Figure 25 is that Frequency Hopping Signal detects work flow diagram；
Figure 26 is the program chart for writing the U64 data of DRAM storage and FFT；
Figure 27 is the program chart that the U64 data of FFT switch to the data FIFO of U32；
Figure 28 is FFTIPCore program chart；
Figure 29 is the program chart for searching maximum value and minimum value.
Specific embodiment
The present invention is described in further detail below with reference to embodiment, embodiments of the present invention are not limited thereto.
Embodiment 1:
The present invention is achieved through the following technical solutions, and as shown in Figure 1-29, one kind is same based on PXI platform software radio distribution
Step data acquisition method, specifically includes the following steps:
Step F1: triggering, same sampling clock are synchronized to host computer and multiple slave computers before signal acquisition, set with local oscillator
It sets；
Step F2: clicking " acquisition data " button on the noise spectrum monitoring data flow table and analysis platform in host computer, complete
At data flow table parameter configuration, data acquisition is controlled, analyzes and caches in real time in real time；
Step F3: on noise spectrum monitoring data flow table and analysis platform click " collection analysis " button, to normal signal into
Row analysis；
Step F4: Frequency Hopping Signal is detected.
It should be noted that the present invention proposes a kind of same based on PXI platform software radio distribution by above-mentioned improvement
Step data acquisition method, as shown in Figure 1, being controlled by a host computer more slave computers, every slave computer is respectively provided with
Have FPGA-7975R processor, respectively acquire signal and realize the real-time flow table of signal, Signal online analysis, signal ex-post analysis,
The function of signal frequency modulation detection.Signal acquisition synchronization accuracy of the present invention is high, channel data frequency deviation is small, data throughout is high, provides
Compared with prior art high reliablity, it is with high accuracy simultaneously, also possess more portable advantage.
The other parts of the present embodiment are same as the previously described embodiments, and so it will not be repeated.
Embodiment 2:
The present embodiment advanced optimizes on the basis of the above embodiments, as shown in Figure 1, the synchronous triggering of the step F1 is set
It sets and specifically refers to: the machine time of host computer being handed down to multiple slave computers, and host computer issues to multiple slave computers and starts to adopt
Collection instruction and beginning acquisition time；
The same sampling clock setting of the step F1 specifically refers to: the sampling clock of any one slave computer is transmitted to the machine
CLK OUT terminal mouth reinjects the port CLK IN of remaining slave computer；
The same local oscillator setting of the step F1 specifically refers to: generating one using two piece of 5792 adapter and one piece of 571 adapter
Local oscillator is injected separately into two pieces of 5792 adapters by the power splitter inside slave computer and reaches same local oscillator.
It should be noted that three aspects are synchronized before carrying out signal acquisition by above-mentioned improvement, i.e., it is synchronous
Triggering, same to sampling clock, same to local oscillator.Wherein synchronous triggering is to be used by host computer more slave computer time services and timing cycle
Synchronization accuracy reaches Millisecond (the second subsequent precision of grade is realized by GPS second pulse).Present embodiment assumes that slave computer is two
Platform, concrete thought are as follows: time service is carried out to two slave computers (PXIe) by host computer, the machine time of host computer is handed down to bottom
The machine time modification is the host computer time by machine, i.e. slave computer；Host computer is issued to slave computer to be started acquisition instructions and starts to adopt
Collect the time, the beginning acquisition instructions, which refer to, to be started to acquire signal and carry out data flow table, under the beginning acquisition time refers to
Hair starts the time of 10s after acquisition instructions；Slave computer begins preparing after receiving beginning acquisition instructions and passes through timing cycle
10s after instruction issuing starts to acquire signal on time.It should be noted that slave computer reach start acquisition time after,
FPGA-7975R processor starts waiting GPS second pulse, after FPGA-7975R processor detects pulse per second (PPS) rising edge, starts
Acquire signal.
Refer to that the sampling clock of two slave computers must be completely the same with sampling clock, if one of them is than another
Fast or slow point thus will appear stable incremental a, solution are as follows: by the sampling clock of a wherein slave computer
The CLK OUT terminal mouth of the machine is transported to, then is injected into the port CLK IN of another slave computer, to realize the same of sampling clock
Step.
Refer to local oscillator and two slave computers is avoided the phenomenon that frequency deviation occur, is separately positioned on two using two piece of 5792 adapter
On platform slave computer, one piece of 5191 adapter is recycled to be disposed therein on a slave computer；5191 adapters, which are set, generates a sheet
Vibration, is injected separately into two piece of 5792 adapter by power splitter to reach two complete local oscillators of slave computer, solves the problems, such as frequency deviation.
The other parts of the present embodiment are same as the previously described embodiments, and so it will not be repeated.
Embodiment 3:
The present embodiment advanced optimizes on the basis of the above embodiments, and as shown in Fig. 2-13, the step F2 is specifically included
Following steps:
Step F21: " acquisition data " button, bullet are clicked on the noise spectrum monitoring data flow table and analysis platform in host computer
The dialog box of " data flow table parameter configuration " out；
Step F22: cache-time, holding time, each channel parameters are carried out in the dialog box of " data flow table parameter configuration "
Configuration, and show that data at this time store basic path and confirm preservation；
The step F22 specifically includes the following steps:
Step F22-1: the channel number that need to be used is selected in the channel selecting area of data acquisition interface；
Step F22-2: " channel configuration " button, pop-up are clicked in the task number input of data acquisition interface and parameter configuration area
" data flow table parameter configuration " dialog box, input this time acquires the task name of flow table in task name input field, then clicks
" task names setting "；If the task names exist, platform adds timestamp after the task names automatically；
Step F23-3: the center of the frequency domain figure functional areas selection display signal in real-time analytic function area in data acquisition interface
Frequency vernier and its respective intensities, FL frequency vernier and its respective intensities, FH frequency vernier and its respective intensities；Data acquire boundary
The figure show area in face shows the centre frequency vernier of signal, FL frequency vernier, FH frequency vernier；User is manually to display
FL frequency vernier, FH frequency vernier are moved, and calculate three dB bandwidth more accurate；Or platform calculates automatically according to current demand signal
Three dB bandwidth is simultaneously shown；
Step F22-4: it is carried out in the spectral resolution of the frequency domain figure functional areas setting signal in real-time analytic function area, and to frequency spectrum
Median filtering and match exponents setting；
Step F22-5: signal time-domain diagram intensity colors are adjusted in the time-frequency domain functional areas in real-time analytic function area；
Step F22-6: real-time analytic function area shared functional areas respectively to the time-domain diagram of signal, frequency domain figure, time-frequency figure along X
Axis, XY axis, Y direction zoom in and out setting；
Step F23: after completing data flow table parameter configuration, into data acquisition interface, data acquisition is controlled, is divided in real time
Analysis and in real time caching；
The step F23 specifically includes the following steps:
Step F23-1: " starting flow table " button is hit in the control class mark of data acquisition interface, platform starts the data to acquisition
Carry out real-time flow table；
Step F23-2: " terminating flow table " button is hit in the control class mark of data acquisition interface, data are flowed in platform stopping
Disk, but continue to acquisition data and analyze in real time；Then caching flow table data and real-time flow table data are carried out being spliced to form one
A file, completion splicing rear platform prompt user, which is spliced, successfully to be amounted to the flow table time of this flow table task；
Step F23-3: user intercepts the channel and corresponding signal graph type that current Graphics show area is included, and is stored in
In the file that user specifies；It is then log out this acquisition tasks.
It should be noted that by above-mentioned improvement, as shown in Fig. 2, clicking the noise spectrum monitoring data flow in host computer
" data acquisition " button on disk and analysis platform, into the interface of acquisition data, which mainly completes the acquisition of data, reality
When analysis and data flow table function.Mode of operation are as follows: after platform starting, click " Data Data " button, will pop up such as Fig. 3 institute
" the data flow table parameter configuration " dialog box shown can join common parameter (cache-time, holding time), each channel in dialog box
Number (channel use, device name, centre frequency, input signal maximum level, signal type, sample frequency) etc. is configured,
Finally show the basic path of data storage at this time.
As shown in figure 4, into data acquisition interface, data acquisition interface is divided into logical after completing data flow table parameter configuration
Road selection area, graphic interface selection area, figure show area, task number input and parameter configuration area, real-time analytic function area, control
Area.
Wherein button is pressed there are four the button in channel and occurs as soon as channel selected by user, button bounces by channel selecting area
With regard to cancelling the channel；Pay attention to only to select channel the starting of its corresponding channel in channel selecting area in the configuration of channel
It selects.It is illustrated in figure 5 the interface only by lower channel interface for the moment, when being illustrated in figure 6 by lower channel one and channel two.
User can select area to carry out free switching to time-domain diagram, frequency domain figure, time-frequency figure in graphic interface.
" channel configuration " button for clicking task number input and parameter configuration area pops up " data flow table ginseng as shown in Figure 7
Number configuration " dialog box, input this time acquires the task name of flow table in the task names input frame of dialog box, then clicks and " appoints
Title of being engaged in setting ", if the title of setting is existing, as shown in figure 8, if platform to adding the time after the task names automatically
Stamp.
As shown in figure 9, analytic function divides into frequency domain figure functional areas, time-frequency figure functional areas, shared functional areas in real time.Such as figure
Shown in 10, display centre frequency and respective intensities may be selected in frequency domain figure functional areas, there are also the frequency of selection display FL, FH and
Intensity, and current central frequency and three dB bandwidth are calculated according to FL, FH.As shown in Figure 10, user can select and manually or automatically control
Three dB bandwidth processed is mobile, selects user when manual mode that can freely move to FL, FH frequency vernier that figure show area is shown
It is dynamic, keep it more accurate, when selecting automatic mode, platform to calculating its three dB bandwidth according to current demand signal automatically.Such as Figure 11 institute
Show, may choose whether to carry out median filtering to frequency spectrum and match exponents is configured.
As shown in figure 12, it can be adjusted in intensity and corresponding color of the time-frequency domain functional areas to time-frequency figure, to time-frequency figure
Color corresponding to middle maximum value, minimum value and median intensity is configured；When the strength range to time-frequency figure is configured,
If signal spectrum has exceeded the range and indicates still according to the corresponding color of maximum, minimum strength within the scope of this.
As shown in figure 13, the zoom direction of time-domain diagram, frequency domain figure, time-frequency figure can be configured in shared functional areas, is wrapped
It includes and zooms in and out setting along X-axis, XY axis, Y direction.
START button is clicked in control zone, this time acquisition tasks start, including the acquisition of control data, analysis in real time and real
When cache (default time 30s)." starting flow table " button is clicked in control zone, platform starts to carry out the data of acquisition real-time
Flow table." terminate flow table " button is clicked, platform stops carrying out flow table to data, and so platform still can acquire data and real-time at this time
Analysis；Then caching flow table data and real-time flow table data are carried out being spliced to form a file, can prompts to use after completing splicing
Family, which is spliced, successfully to be amounted to the flow table time of this flow table task, if user does not click on end within the holding time in channel,
Then platform will end automatically flow table.
User intercepts the channel and corresponding graph style that current Graphics show area is included, and is stored in the specified text of user
In part folder；" exiting " button is finally clicked, this acquisition tasks is exited.
The other parts of the present embodiment are same as the previously described embodiments, and so it will not be repeated.
Embodiment 4:
The present embodiment advanced optimizes on the basis of the above embodiments, and as shown in Figure 14-24, the step F3 is specifically included
Following steps:
Step F31: " collection analysis " button is clicked on noise spectrum monitoring data flow table and analysis platform, " selection is appointed for pop-up
Business " dialog box；
Step F32: after user selects corresponding task and parse in " selection task " dialog box, normal signal and frequency hopping letter are obtained
Number, the configuration parameter of normal signal is configured and shows relevant configured parameter；
The step F32 specifically includes the following steps:
Step F32-1: user clicks " normal signal analysis " button in " selection task " dialog box after obtaining normal signal, into
Enter normal signal assay surface；
Step F32-2: channel indication signal number is set in the channel of normal signal assay surface and image type selection area
With image type in image show area；And the time-domain diagram, frequency domain figure, time-frequency figure of display channel signal are set；
Step F32-3: the essence in the frequency domain figure functional areas setting signal frequency coordinate axis rod interval of normal signal assay surface
Degree, beginning and end frequency are to zoom in or out frequency domain figure；And show spectrogram span and centre frequency, then frequency spectrum point is set
Resolution；Then signal is filtered and filter order is set；
Step F32-4: the time-frequency figure functional areas of normal signal assay surface to the time-frequency figure intensity of signal and corresponding color into
Row setting；
Step F33: enter normal signal assay surface, normal signal is analyzed；
The step F33 specifically includes the following steps:
Step F33-1: user takes out the progress of control current demand signal analysis using the time of normal signal assay surface；
Step F33-2: after data analysis just starting or user's click " stopping " button, control of the user in normal signal assay surface
It clicks " parameter configuration " button and checks each channel parameters and the centre frequency and analysis bandwidth of each channel signal are carried out in area processed
Setting；
Step F33-3: what return normal signal assay surface interception current Graphics show area was included after completion parameter configuration leads to
The corresponding graph style in road and each channel, and be stored in the file that user specifies.
It should be noted that as shown in figure 14, clicking the noise spectrum monitoring data flow in host computer by above-mentioned improvement
" data analysis " button on disk and analysis platform, into data assay surface, which mainly completes the thing of convection disc data
Post analysis, including read frequency point information, the corresponding snap shot multiple of RDAM and its number of segment in 64M data segment.
After clicking " data analysis " button, it is corresponding to pop up " selection task " dialog box prompt user's selection as shown in figure 15
Task, after user selects corresponding task and parses, normal signal (often in signal) analysis or Frequency Hopping Signal point is may be selected in user
Analysis.Click " normal signal analysis " afterwards enter normal signal assay surface, as shown in figure 16, the interface comprising image show area,
Channel and image type select area, frequency domain figure functional areas, time-frequency figure functional areas, time shaft, control zone.
As shown in figure 17, in channel and image type selection area by being set to channel and image type in image show area
It sets, shows the time-domain diagram in maximum four channels, frequency domain figure, is time-frequency figure；Time-domain diagram when being as shown in figure 18 four channels, such as
Figure 19 show frequency domain figure when three channels, time-frequency figure when being as shown in figure 20 two channels.
As shown in figure 21, settable to frequency coordinate axis rod interval in frequency domain figure functional areas, and setting starts and knot
Beam frequency is to zoom in or out frequency domain figure；As shown in figure 21, default start frequency and end frequency are the bandwidth of current demand signal, are used
Family input starts, terminates frequency, clicks " set " button, then is accurately amplified to the position of user setting, and it is then extensive to click " full frame "
Again to default location.As shown in figure 21, it is shown in the settable spectrogram span in frequency domain figure functional areas and centre frequency；Frequency spectrum is set
Current span, be defaulted as the sample rate of acquisition data, while centre frequency is defaulted as the center of user setting when acquisition tasks
Frequency.As shown in figure 21, display centre frequency and three dB bandwidth, selection display three dB bandwidth can be chosen whether in frequency domain figure functional areas
When, image show area can show the frequency and intensity of FL and FH, and calculate current central frequency and 3dB band according to FL and FH
It is wide.As shown in figure 21, spectral resolution can be set in frequency domain figure functional areas, and chooses whether to be filtered, if selection filtering
Filter order can be then configured.
As shown in figure 22, time-frequency figure intensity and corresponding color can be adjusted in time-frequency figure functional areas.Specially clock synchronization
Frequency figure maximum value, minimum value, color is configured corresponding to median intensity；In maximum value, the minimum value that time-frequency figure is arranged,
If the signal spectrum of acquisition has exceeded value range, still indicated by maximum, the minimum color in range.Note: user setting
Starting and end time, platform will ignore the time-frequency figure of user setting period.
Progress of the time shaft to control current demand signal analysis, the total time of flow table when time shaft total size is acquisition tasks
And time step.
As shown in figure 23 it is control zone, analyzes just starting in data or user clicks after stopping, user can click " parameter
Configuration " button pop-up " normal signal analysis parameter configuration " dialog box as of fig. 24, to check each channel parameters and right
Centre frequency and analysis bandwidth are configured (parameter that the parameter of platform default is user setting when acquiring signal).In control zone
START button is clicked, platform will start to analyze signal sequentially in time；" pause " button is clicked, signal is analyzed
Pause, analyzes the time point signal to user's static state；" playbacking " button is clicked, platform will be opened according to inverse time sequencing
Beginning analyzes signal；Click " stoppings " button, platform analyzes stop signal, at this time user can center to signal frequently
The parameters such as rate modify (parameter that the parameter of platform default is user setting when acquiring signal)；" screenshot " button is clicked, it can
The channel and corresponding graph style that interception present image show area is included, and be stored in the file that user specifies；Point
Hit " single step retrogressing " button, to be used after user's pause, platform by forward one frame before single step, " single step advance " similarly.
The other parts of the present embodiment are same as the previously described embodiments, and so it will not be repeated.
Embodiment 5:
The present embodiment advanced optimizes on the basis of the above embodiments, and as shown in Figure 25-29, the step F4 is specifically included
Following steps:
Step F41: after being compressed to data, the calculating of first time thresholding is carried out, obtains threshold value；
Step F42: Frequency Hopping Signal detection is carried out to data, obtains the element of Frequency Hopping Signal；
Step F43: the testing result of Frequency Hopping Signal is exported to host computer.
It should be noted that Frequency Hopping Signal detection algorithm can be analyzed to following part: first time thresholding by above-mentioned improvement
Calculating, signal detection, data compression detect work flow diagram as shown in figure 25 for Frequency Hopping Signal.In Frequency Hopping Signal detection algorithm
It is related to the segmentation to data, looks for max min and add up the mathematics ortho acid such as average, due to the volume in LabVIEW FPGA
It being handled in journey using monocycle timing cycle, one cycle carries out once-through operation, FIFO is mostly used in program to transmit data, because
This above-mentioned mathematical operation is handled all in accordance with the programming rule of LabVIEW FPGA.
Integrally consider from program, data flow table, write DRAM storage and frequency hopping detection algorithm data answer it is completely the same, use
Identical acquisition signal；Wherein data flow table can be handled with the data of U32 or U64, write DRAM storage and carried out FFT frequency modulation
Detection is handled with the data of U32.It is as shown in figure 26 the program chart for writing DRAM storage and the U64 data of FFT, such as Figure 27
Show FFT U64 data switch to U32 data FIFO program chart, as shown in figure 28 be FFTIPCore program chart.
It should be noted that the frequency clock of FFTIPCore 100MHz, corresponding monocycle timing cycle also uses the when base of 100MHz
Clock；The data that frequency point is found out after 64K point FFT are compared with the analogue value, each frequency point need to take three points (including itself
And each point in front and back) modulus analog values accumulative and, after finding out frequency point data, according to often specify a number less than or equal to 16
Frequency point data (sampled data 64K) is divided into one section, and finds out this section of maximum value and minimum value, and program chart is as shown in figure 29.
Then according to one group of (sampled data 128K) re-segmenting of odd even, the corresponding frequency point data of odd even is asked
Be averaged processing, i.e., the specified number of every 128K point is less than or equal to 16 frequency point data, and find out this section of maximum value and
Minimum value.Then it is segmented according still further to the data length of 512 128K sampling points, 512 minimum values are added up and is averaged work
For the threshold value of next 64M sampling point.The maximum value of each 128K sampling point is sent out as the key value that frequency hopping detects.It send for the first time
Initial threshold 1st_Thin out can be fixed as 10dB, other situations are then that Thin is multiplied with Bmean, as threshold T ho.
In other words, the process of Frequency Hopping Signal detection is calculated comprising first time threshold value, this one piece of data that first time threshold value calculates
Do not have to or is carried out carrying out frequency hopping detection with a fixed thresholding.
By above-mentioned processing, program can obtain all elements of Frequency Hopping Signal detection: every section of (128K) Frequency Hopping Signal is most
Index value Xk_Index, index value Xk_Index place segment number k after big value C, the corresponding FFT transform of maximum value Frequency Hopping Signal,
Threshold T ho.The output of Frequency Hopping Signal testing result includes counting j, the Frequency Hopping Signal frequency point index value i in section by the end of frequency hopping
(k), Tstart (j) and end time Tend (j) at the beginning of front jumping.In order to facilitate subsequent processing, using k=512 as 64M
The condition of sampling point segmentation, record current demand signal is n-th 64M sampling point.
The main rule of Frequency Hopping Signal detection algorithm is as follows:
As k=1, i (1)!=0, then record Tstart (j+1)=1, j=j+1；
As i (k)-i (k-1) ≠ 0, frequency point is jumped,
I (k-1)=0 then records Tstart (j+1)=k, j=j+1；
I (k)=0 then records Tend (j)=k-1；
It is not 0, then records Tstart (j+1)=k, Tend (j)=k-1, j=j+1；
The other parts of the present embodiment are same as the previously described embodiments, and so it will not be repeated.
The above is only presently preferred embodiments of the present invention, not does limitation in any form to the present invention, it is all according to
According to technical spirit any simple modification to the above embodiments of the invention, equivalent variations, protection of the invention is each fallen within
Within the scope of.
Claims (9)
1. one kind is based on PXI platform software radio distributed synchronization collecting method, it is characterised in that: specifically include following
Step:
Step F1: triggering, same sampling clock are synchronized to host computer and multiple slave computers before signal acquisition, set with local oscillator
It sets；
Step F2: clicking " acquisition data " button on the noise spectrum monitoring data flow table and analysis platform in host computer, complete
At data flow table parameter configuration, data acquisition is controlled, analyzes and caches in real time in real time；
Step F3: on noise spectrum monitoring data flow table and analysis platform click " collection analysis " button, to normal signal into
Row analysis；
Step F4: Frequency Hopping Signal is detected.
2. it is according to claim 1 a kind of based on PXI platform software radio distributed synchronization collecting method, it is special
Sign is: the synchronous triggering setting of the step F1 specifically refers to: the machine time of host computer is handed down to multiple slave computers, and
Host computer is issued to multiple slave computers starts acquisition instructions and beginning acquisition time；
The same sampling clock setting of the step F1 specifically refers to: the sampling clock of any one slave computer is transmitted to the machine
CLK OUT terminal mouth reinjects the port CLK IN of remaining slave computer；
The same local oscillator setting of the step F1 specifically refers to: every slave computer utilizes two piece of 5792 adapter and one piece of 571 adaptation
Device generates a local oscillator, is injected separately into two pieces of 5792 adapters by the power splitter inside slave computer and reaches same local oscillator.
3. it is according to claim 1 a kind of based on PXI platform software radio distributed synchronization collecting method, it is special
Sign is: the step F2 specifically includes the following steps:
Step F21: " acquisition data " button, bullet are clicked on the noise spectrum monitoring data flow table and analysis platform in host computer
The dialog box of " data flow table parameter configuration " out；
Step F22: cache-time, holding time, each channel parameters are carried out in the dialog box of " data flow table parameter configuration "
Configuration, and show that data at this time store basic path and confirm preservation；
Step F23: after completing data flow table parameter configuration, into data acquisition interface, data acquisition is controlled, is divided in real time
Analysis and in real time caching.
4. it is according to claim 3 a kind of based on PXI platform software radio distributed synchronization collecting method, it is special
Sign is: the step F22 specifically includes the following steps:
Step F22-1: the channel number that need to be used is selected in the channel selecting area of data acquisition interface；
Step F22-2: " channel configuration " button, pop-up are clicked in the task number input of data acquisition interface and parameter configuration area
" data flow table parameter configuration " dialog box, input this time acquires the task name of flow table in task name input field, then clicks
" task names setting "；If the task names exist, platform adds timestamp after the task names automatically；
Step F23-3: the center of the frequency domain figure functional areas selection display signal in real-time analytic function area in data acquisition interface
Frequency vernier and its respective intensities, FL frequency vernier and its respective intensities, FH frequency vernier and its respective intensities；Data acquire boundary
The figure show area in face shows the centre frequency vernier of signal, FL frequency vernier, FH frequency vernier；User is manually to display
FL frequency vernier, FH frequency vernier are moved, and calculate three dB bandwidth more accurate；Or platform calculates automatically according to current demand signal
Three dB bandwidth is simultaneously shown；
Step F22-4: it is carried out in the spectral resolution of the frequency domain figure functional areas setting signal in real-time analytic function area, and to frequency spectrum
Median filtering and match exponents setting；
Step F22-5: signal time-domain diagram intensity colors are adjusted in the time-frequency domain functional areas in real-time analytic function area；
Step F22-6: real-time analytic function area shared functional areas respectively to the time-domain diagram of signal, frequency domain figure, time-frequency figure along X
Axis, XY axis, Y direction zoom in and out setting.
5. it is according to claim 4 a kind of based on PXI platform software radio distributed synchronization collecting method, it is special
Sign is: the step F23 specifically includes the following steps:
Step F23-1: " starting flow table " button is hit in the control class mark of data acquisition interface, platform starts the data to acquisition
Carry out real-time flow table；
Step F23-2: " terminating flow table " button is hit in the control class mark of data acquisition interface, data are flowed in platform stopping
Disk, but continue to acquisition data and analyze in real time；Then caching flow table data and real-time flow table data are carried out being spliced to form one
A file, completion splicing rear platform prompt user, which is spliced, successfully to be amounted to the flow table time of this flow table task；
Step F23-3: user intercepts the channel and corresponding signal graph type that current Graphics show area is included, and is stored in
In the file that user specifies；It is then log out this acquisition tasks.
6. it is according to claim 5 a kind of based on PXI platform software radio distributed synchronization collecting method, it is special
Sign is: the step F3 specifically includes the following steps:
Step F31: " collection analysis " button is clicked on noise spectrum monitoring data flow table and analysis platform, " selection is appointed for pop-up
Business " dialog box；
Step F32: after user selects corresponding task and parse in " selection task " dialog box, normal signal and frequency hopping letter are obtained
Number, the configuration parameter of normal signal is configured and shows relevant configured parameter；
Step F33: enter normal signal assay surface, normal signal is analyzed.
7. it is according to claim 6 a kind of based on PXI platform software radio distributed synchronization collecting method, it is special
Sign is: the step F32 specifically includes the following steps:
Step F32-1: user clicks " normal signal analysis " button in " selection task " dialog box after obtaining normal signal, into
Enter normal signal assay surface；
Step F32-2: channel indication signal number is set in the channel of normal signal assay surface and image type selection area
With image type in image show area；And the time-domain diagram, frequency domain figure, time-frequency figure of display channel signal are set；
Step F32-3: the essence in the frequency domain figure functional areas setting signal frequency coordinate axis rod interval of normal signal assay surface
Degree, beginning and end frequency are to zoom in or out frequency domain figure；And show spectrogram span and centre frequency, then frequency spectrum point is set
Resolution；Then signal is filtered and filter order is set；
Step F32-4: the time-frequency figure functional areas of normal signal assay surface to the time-frequency figure intensity of signal and corresponding color into
Row setting.
8. it is according to claim 7 a kind of based on PXI platform software radio distributed synchronization collecting method, it is special
Sign is: the step F33 specifically includes the following steps:
Step F33-1: user takes out the progress of control current demand signal analysis using the time of normal signal assay surface；
Step F33-2: after data analysis just starting or user's click " stopping " button, control of the user in normal signal assay surface
It clicks " parameter configuration " button and checks each channel parameters and the centre frequency and analysis bandwidth of each channel signal are carried out in area processed
Setting；
Step F33-3: what return normal signal assay surface interception current Graphics show area was included after completion parameter configuration leads to
The corresponding graph style in road and each channel, and be stored in the file that user specifies.
9. it is according to claim 8 a kind of based on PXI platform software radio distributed synchronization collecting method, it is special
Sign is: the step F4 specifically includes the following steps:
Step F41: after being compressed to data, the calculating of first time thresholding is carried out, obtains threshold value；
Step F42: Frequency Hopping Signal detection is carried out to data, obtains the element of Frequency Hopping Signal；
Step F43: the testing result of Frequency Hopping Signal is exported to host computer.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111538318A (en) * | 2020-06-16 | 2020-08-14 | 成都航利航空科技有限责任公司 | Digital regulator single module detecting system |
| WO2021211943A1 (en) * | 2020-04-17 | 2021-10-21 | Parsons Corporation | Software-defined radio linking systems |
| US11605166B2 (en) | 2019-10-16 | 2023-03-14 | Parsons Corporation | GPU accelerated image segmentation |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140241178A1 (en) * | 2013-02-25 | 2014-08-28 | Itron, Inc. | Real-Time Radio Spectrum Assessment Engine |
| CN104717676A (en) * | 2015-03-02 | 2015-06-17 | 东南大学 | PXI-instrument-based wireless communication signal monitoring and analyzing method and system |
| CN106470135A (en) * | 2015-08-21 | 2017-03-01 | 上海无线通信研究中心 | A kind of parallel channel method of testing and system |
| CN107678014A (en) * | 2017-08-23 | 2018-02-09 | 天津大学 | Software radio is in cognition passive radar system and implementation method |
-
2019
- 2019-02-19 CN CN201910122712.3A patent/CN110007991B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140241178A1 (en) * | 2013-02-25 | 2014-08-28 | Itron, Inc. | Real-Time Radio Spectrum Assessment Engine |
| CN104717676A (en) * | 2015-03-02 | 2015-06-17 | 东南大学 | PXI-instrument-based wireless communication signal monitoring and analyzing method and system |
| CN106470135A (en) * | 2015-08-21 | 2017-03-01 | 上海无线通信研究中心 | A kind of parallel channel method of testing and system |
| CN107678014A (en) * | 2017-08-23 | 2018-02-09 | 天津大学 | Software radio is in cognition passive radar system and implementation method |
Non-Patent Citations (1)
| Title |
|---|
| 孙倩: "基于Labview的虚拟频谱分析仪设计", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11605166B2 (en) | 2019-10-16 | 2023-03-14 | Parsons Corporation | GPU accelerated image segmentation |
| WO2021211943A1 (en) * | 2020-04-17 | 2021-10-21 | Parsons Corporation | Software-defined radio linking systems |
| US11569848B2 (en) | 2020-04-17 | 2023-01-31 | Parsons Corporation | Software-defined radio linking systems |
| CN111538318A (en) * | 2020-06-16 | 2020-08-14 | 成都航利航空科技有限责任公司 | Digital regulator single module detecting system |
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