CN112763991B - Spurious performance analysis method and device for radar secondary frequency conversion receiving and transmitting system - Google Patents

Spurious performance analysis method and device for radar secondary frequency conversion receiving and transmitting system Download PDF

Info

Publication number
CN112763991B
CN112763991B CN202011498352.6A CN202011498352A CN112763991B CN 112763991 B CN112763991 B CN 112763991B CN 202011498352 A CN202011498352 A CN 202011498352A CN 112763991 B CN112763991 B CN 112763991B
Authority
CN
China
Prior art keywords
point
frequency
spurious
output
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011498352.6A
Other languages
Chinese (zh)
Other versions
CN112763991A (en
Inventor
江河
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Institute of Radio Measurement
Original Assignee
Beijing Institute of Radio Measurement
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Institute of Radio Measurement filed Critical Beijing Institute of Radio Measurement
Priority to CN202011498352.6A priority Critical patent/CN112763991B/en
Publication of CN112763991A publication Critical patent/CN112763991A/en
Application granted granted Critical
Publication of CN112763991B publication Critical patent/CN112763991B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40—Means for monitoring or calibrating
    • G01S7/4004—Means for monitoring or calibrating of parts of a radar system
    • G01S7/4021—Means for monitoring or calibrating of parts of a radar system of receivers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
    • G01R23/02—Arrangements for measuring frequency, e.g. pulse repetition rate; Arrangements for measuring period of current or voltage
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40—Means for monitoring or calibrating
    • G01S7/4004—Means for monitoring or calibrating of parts of a radar system
    • G01S7/4008—Means for monitoring or calibrating of parts of a radar system of transmitters
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The invention provides a stray performance analysis method and a stray performance analysis device for a radar secondary frequency conversion receiving and transmitting system, which are characterized in that frequency signal data and processing mode information selected by a user are obtained; then, according to the processing mode information selected by the user, intermodulation processing parameters are obtained; then, according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data; and finally, obtaining a stray performance analysis result of the system according to the output frequency data. The method can automatically select an optimized processing mode, select the intermodulation analysis mode with the smallest spurious, can realize in-band spurious calculation of the radar secondary frequency conversion receiving and transmitting system, and can be applied to scheme stage, design stage and debugging stage of the system. Guiding the selection of frequencies at the protocol stage; providing reference for the selection of circuit parameters in the circuit implementation stage; the presence of spurs in existing systems in debugging provides an improved solution to the ability to visualize spurs.

Description

Spurious performance analysis method and device for radar secondary frequency conversion receiving and transmitting system
Technical Field
The invention relates to the field of frequency signal analysis, in particular to a stray performance analysis method and device for a radar secondary frequency conversion receiving and transmitting system.
Background
The modern radar generally adopts an ultra-external receiver, so that the receiver system has the advantages of high sensitivity, large dynamic range and the like, but one of the disadvantages is that in the mixing process of signals and local oscillators, in addition to fundamental wave mixing, combined frequency output (spurious) of other orders can be generated; at present, in the prediction of local oscillator frequency selection and spurious indexes of a secondary frequency conversion transceiver system, a flexible and easy-to-use design analysis means is lacking, so that the system scheme and the circuit design are difficult to meet the application requirements at one time.
Disclosure of Invention
To solve at least one of the above problems, an embodiment of the present invention provides a spurious performance analysis method for a radar secondary frequency conversion transceiver system, including:
s1: acquiring frequency signal data and processing mode information selected by a user;
s2: acquiring intermodulation processing parameters according to the processing mode information selected by the user;
s3: performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;
s4: and obtaining a spurious performance analysis result of the system according to the output frequency data.
In a preferred embodiment, obtaining a corresponding output frequency model according to the processing mode information selected by the user includes:
and searching an output frequency model corresponding to the processing mode information selected by the user from the mapping relation between the processing mode information and the output frequency model.
In a preferred embodiment, the preset intermodulation processing parameters include: the system comprises a radio frequency starting frequency, a radio frequency ending frequency, a radio frequency stepping, a first intermediate frequency center frequency, a second intermediate frequency bandwidth and the highest simulation order.
In a preferred embodiment, the output frequency model is:
f o ＝|±m×f i ±n×f LO1 ±k×f LO2 |
where m, n and k are the orders of mixing frequencies, m+n+k is the total mixing order, fi is the radio frequency or second intermediate frequency, fLO1 is the first local oscillator frequency, and fLO2 is the second local oscillator frequency.
In a preferred embodiment, the output frequency data includes mixed output data and spurious output data, and the performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameter to obtain corresponding output frequency data includes:
determining a preset mixing processing model and a spurious processing model according to the intermodulation processing parameters;
and generating mixed output data and spurious output data of each order corresponding to the frequency signal data according to the mixed model, the spurious processing model and the output frequency model.
In a preferred embodiment, when fi is a radio frequency, the mixing process model and the spurious process model corresponding to the mixing process model are as follows:
mix_a＝|rf(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|rf(f_point)*ii+lo1(f_point)*jj|；
mix_b＝|rf(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|rf(f_point)*ii+lo1(f_point)*jj|；
mix_c＝|rf(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|rf(f_point)*ii-lo1(f_point)*jj|；
mix_d＝|rf(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|rf(f_point)*ii-lo1(f_point)*jj|。
fi is the second intermediate frequency, and the mixing processing model and the spurious processing model corresponding to the mixing processing model are as follows:
mix_a＝|if2(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|if2(f_point)*ii+lo2*kk|；
mix_b＝|if2(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|if2(f_point)*ii+lo2*kk|；
mix_c＝|if2(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|if2(f_point)*ii+lo2*kk|；
mix_d＝|if2(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|if2(f_point)*ii+lo2*kk|；
wherein rf represents an array generated by steps of a radio frequency start frequency, a radio frequency end frequency and a radio frequency, if1 represents a first intermediate frequency center frequency, if2 represents a second intermediate frequency center frequency, f_point represents a frequency point, variable ii represents each order of the radio frequency, variable jj represents each order of a first local oscillation frequency lo1, and variable kk represents each order of a second local oscillation frequency lo 2.
In a preferred embodiment, the stray performance analysis of the system is obtained from the output frequency data, comprising:
calculating the mixing output data, and judging whether the spurious of the mixing output is in a frequency band or not;
saving the calculated data and the spurious data as a pattern;
and analyzing the stray performance of the system through the pattern to obtain a stray performance analysis result of the system.
The invention also provides a stray performance analysis device for the radar secondary frequency conversion receiving and transmitting system, which comprises:
the acquisition module acquires frequency signal data and processing mode information selected by a user;
the intermodulation processing parameter determining module is used for obtaining intermodulation processing parameters according to the processing mode information selected by the user;
the circulation calculation module is used for carrying out circulation calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;
and the analysis module is used for obtaining the stray performance analysis result of the system according to the output frequency data.
In yet another aspect, an embodiment of the present invention provides a computer device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method described above when the program is executed.
In yet another aspect, embodiments of the present invention provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method described above.
The beneficial effects of the invention are as follows:
the invention provides a stray performance analysis method and a stray performance analysis device for a radar secondary frequency conversion receiving and transmitting system, which are characterized in that frequency signal data and processing mode information selected by a user are obtained; then, according to the processing mode information selected by the user, intermodulation processing parameters are obtained; then, according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data; and finally, obtaining a stray performance analysis result of the system according to the output frequency data. The method can automatically select an optimized processing mode, select the intermodulation analysis mode with the smallest spurious, can realize in-band spurious calculation of the radar secondary frequency conversion receiving and transmitting system, and can be applied to scheme stage, design stage and debugging stage of the system. Guiding the selection of frequencies at the protocol stage; providing reference for the selection of circuit parameters in the circuit implementation stage; the presence of spurs in existing systems in debugging provides an improved solution to the ability to visualize spurs.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a flow chart of a spurious performance analysis method for a radar secondary frequency conversion transceiver system in an embodiment of the invention.
Fig. 2 shows a Down conversion (rf= |lo1+if1|) spurious Plot diagram in an embodiment of the present invention.
Fig. 3 shows a Down conversion (rf= |lo1-IF 1|) spurious Plot diagram in an embodiment of the present invention.
Fig. 4 shows an Up-conversion (Up conversion, rf= |lo1+if1|) spurious Plot in an embodiment of the present invention.
Fig. 5 shows an Up-conversion (Up conversion, rf= |lo1-IF 1|) spurious Plot in an embodiment of the present invention.
Fig. 6 shows a schematic structural diagram of a spurious performance analysis device for a radar secondary frequency conversion transceiver system according to an embodiment of the present invention.
Fig. 7 shows a schematic diagram of an electronic device suitable for implementing the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
An embodiment of an aspect of the present invention provides a spurious performance analysis method for a radar secondary frequency conversion transceiver system, as shown in fig. 1, including:
acquiring frequency signal data and processing mode information selected by a user;
acquiring intermodulation processing parameters according to the processing mode information selected by the user;
performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;
and obtaining a spurious performance analysis result of the system according to the output frequency data.
The invention provides a stray performance analysis method for a radar secondary frequency conversion receiving and transmitting system, which comprises the steps of obtaining frequency signal data and processing mode information selected by a user; then, according to the processing mode information selected by the user, intermodulation processing parameters are obtained; then, according to an output frequency model and the intermodulation processing parameters, carrying out cyclic calculation on the frequency signal data to obtain corresponding output frequency data; and finally, obtaining a stray performance analysis result of the system according to the output frequency data. The method can realize in-band spurious calculation of the radar secondary frequency conversion receiving and transmitting system, and can be applied to scheme stage, design stage and debugging stage of the system. Guiding the selection of frequencies at the protocol stage; providing reference for the selection of circuit parameters in the circuit implementation stage; the presence of spurs in existing systems in debugging provides an improved solution to the ability to visualize spurs.
In a preferred embodiment, obtaining a corresponding output frequency model according to the processing mode information selected by the user includes:
and searching an output frequency model corresponding to the processing mode information selected by the user from the mapping relation between the processing mode information and the output frequency model.
In a preferred embodiment, the preset intermodulation processing parameters include: the system comprises a radio frequency starting frequency, a radio frequency ending frequency, a radio frequency stepping, a first intermediate frequency center frequency, a second intermediate frequency bandwidth and the highest simulation order.
In a preferred embodiment, the output frequency model is:
f o ＝|±m×f i ±n×f LO1 ±k×f LO2 |
where m, n and k are the orders of mixing frequencies, m+n+k is the total mixing order, fi is the radio frequency or second intermediate frequency, fLO1 is the first local oscillator frequency, and fLO2 is the second local oscillator frequency.
In a preferred embodiment, the output frequency data includes mixed output data and spurious output data, and the performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameter to obtain corresponding output frequency data includes:
determining a preset mixing processing model and a spurious processing model according to the intermodulation processing parameters;
and generating mixed output data and spurious output data of each order corresponding to the frequency signal data according to the mixed model, the spurious processing model and the output frequency model.
In a preferred embodiment, when fi is a radio frequency, the mixing process model and the spurious process model corresponding to the mixing process model are as follows:
mix_a＝|rf(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|rf(f_point)*ii+lo1(f_point)*jj|；
mix_b＝|rf(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|rf(f_point)*ii+lo1(f_point)*jj|；
mix_c＝|rf(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|rf(f_point)*ii-lo1(f_point)*jj|；
mix_d＝|rf(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|rf(f_point)*ii-lo1(f_point)*jj|。
fi is the second intermediate frequency, and the mixing processing model and the spurious processing model corresponding to the mixing processing model are as follows:
mix_a＝|if2(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|if2(f_point)*ii+lo2*kk|；
mix_b＝|if2(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|if2(f_point)*ii+lo2*kk|；
mix_c＝|if2(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|if2(f_point)*ii+lo2*kk|；
mix_d＝|if2(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|if2(f_point)*ii+lo2*kk|；
wherein rf represents an array generated by steps of a radio frequency start frequency, a radio frequency end frequency and a radio frequency, if1 represents a first intermediate frequency center frequency, if2 represents a second intermediate frequency center frequency, f_point represents a frequency point, variable ii represents each order of the radio frequency, variable jj represents each order of a first local oscillation frequency lo1, and variable kk represents each order of a second local oscillation frequency lo 2.
In a preferred embodiment, the stray performance analysis of the system is obtained from the output frequency data, comprising:
calculating the mixing output data, and judging whether the spurious of the mixing output is in a frequency band or not;
saving the calculated data and the spurious data as a pattern;
and analyzing the stray performance of the system through the pattern to obtain a stray performance analysis result of the system.
The following description is made in connection with practical cases.
The output signal frequency can be expressed as: f (f) o ＝|±m×f i ±n×f Lo1 ±k×f LO2 When the system works in up-conversion, fi is a second intermediate frequency fIF2, and fo is a radio frequency fRF; in the down-conversion operation, fi is the radio frequency fRF, fo is the second intermediate frequency fIF2.
m, n and k are the orders of mixing the frequencies, and m+n+k is the total mixing order. Typically m, n and k take 1 as the output frequency required by the system frequency conversion; and m, n or k is not 1, the variable frequency output frequency is defined as intermodulation spurs. Since m, n, and k can be any integer, the output signal will contain any combined frequency generated by the input signal.
The software calculates the highest order (order) according to the set frequency, and circularly calculates the output frequency fo: respectively increasing m, n and k from 0 to order by 1 to calculate f o ＝|±m×f i ±n×f LO1 ±k×f LO2 I, and storing fo data which are obtained by each cycle calculation and are positioned in the working frequency range; the data table form is displayed in the software and can be exported to an Excel format for data storage; the data can be more intuitively displayed in the form of an intermodulation graph, the intermodulation graph takes the frequency of LO1 as an X axis, the output frequency (up-conversion RF output frequency and down-conversion IF2 output frequency) as a Y axis, the orders (m, n and k) corresponding to each intermodulation curve are marked in the graph, the quantity of intermodulation output can be more clearly and intuitively seen through graphical display, and the scheme selection and the spurious performance analysis are facilitated.
The implementation of the software is performed as follows.
The read RF start frequency (11) is defined as rf_start, the RF end frequency (12) is defined as rf_stop, the RF step (13) is defined as rf_step, the first intermediate frequency center frequency (14) is defined as if1, the second intermediate frequency center frequency (15) is defined as if2, the second intermediate frequency bandwidth (16) is defined as bw, and the highest simulation order (17) is defined as order.
Generating an array rf through the rf_start, the rf_stop and the rf_stop, wherein the array rf takes the rf_start as a 1 st element, the rf_stop as a last 1 element, and the difference value of each element is the rf_stop.
The spurious frequency range definition is carried out from the selection of 'Converter Setup', when the up-conversion (5) is selected, the spurious frequency lower limit variable is defined as the spir_lower=rf_start, and the spurious frequency upper limit variable is defined as the spir_upper=rf_stop; when down-conversion (6) is selected, the lower frequency limit variable of the spur is defined as spur_lower=if2-bw/2, and the upper frequency limit variable of the spur is defined as spur_upper=if2+bw/2.
First local oscillator frequency calculation from the selection of "RF Sideband": when "rf= |lo1+ IF1|, the first local oscillation frequency LO 1= |rf-IF1|; when "rf= |lo1-if1|, the first local oscillation frequency LO 1= |rf+if1|.
Second local oscillator frequency calculation from selection of "IF1 Sideband": when "IF 1= |lo2+ IF2|, the second local oscillation frequency LO 2= |if1-IF2|; when "IF 1= |lo2+ IF2|, the second local oscillation frequency LO 2= |if1+ IF2|.
After the parameter setting is completed, the spurious frequency calculation is started.
Since the output frequency fo is absolute, the symbols of orders m, n and k have 4 combinations: ++ (same absolute value as the-output), ++ - (same absolute value as the-output), ++ (same absolute value as the-output), and++ - (same absolute value as the++ output). The mixed outputs of each combination are defined as mix_a, mix_b, mix_c, mix_d, respectively; the spurious generated at the intermediate frequency is defined as if1_a, if1_b, if1_c, if1_d.
The calculation of spurious frequencies is achieved by a cyclic structure. The definition variable n is used to save the number of in-band spurs, the definition variable ii represents each order of the radio frequency rf, the variable jj represents each order of the first local oscillator frequency lo1, and the variable kk represents each order of the second local oscillator frequency lo 2.
To obtain the spurious for each frequency bin (all frequencies contained in the rf array), define the frequency bin as f_point, and perform cyclic calculation from 1 to rf frequency number, and each frequency bin (f_point) calculation includes triple cycles: the first heavy ii loops from 0 to the highest order, the second heavy jj loops from 0 to the highest order, and the third heavy kk loops from 0 to the highest order.
In the innermost cycle volume structure, when "conversion Setup" is selected as down-conversion (6):
mix_a＝|rf(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|rf(f_point)*ii+lo1(f_point)*jj|
mix_b＝|rf(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|rf(f_point)*ii+lo1(f_point)*jj|
mix_c＝|rf(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|rf(f_point)*ii-lo1(f_point)*jj|
mix_d＝|rf(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|rf(f_point)*ii-lo1(f_point)*jj|
in the innermost cycle volume structure, "conversion Setup" is selected as up-conversion (5):
mix_a＝|if2(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|if2(f_point)*ii+lo2(*kk|
mix_b＝|if2(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|if2(f_point)*ii+lo2*kk|
mix_c＝|if2(f_point)*ii-lo1(f_point)*jj+lo2*kk|，ifl_c＝|if2(f_point)*ii+lo2(*kk|
mix_d＝|if2(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|if2(f_point)*ii+lo2*kk|
after obtaining the spurious output of each frequency point, continuously judging whether the spurious is in the frequency band or not for 4 kinds of combined frequency output, and storing corresponding data:
when super_lower < =mix_a < =spray_upper, freq_out (n) =mix_a; rf_freq (n) =rf (f_point); l1_freq (n) =l1 (f_point); l2_freq (n) =l2; if1_freq (n) =if1_a; rf_order (n) =ii; if_order (n) =ii; lol_order (n) =jj; l2_order (n) =kk; full_order (n) =ii+jj+kk; n=n+1;
when super_lower < =mix_b < =spray_upper, freq_out (n) =mix_b; rf_freq (n) =rf (f_point); lol_freq (n) =lol (f_point); l2_freq (n) =l2; if1_freq (n) =if1_b; rf_order (n) =ii; if_order (n) =ii; lol_order (n) =jj; l2_order (n) = -kk; full_order (n) =ii+jj+kk; n=n+1;
when super_lower < =mix_c < =spray_upper, freq_out (n) =mix_c; rf_freq (n) =rf (f_point); l1_freq (n) =l1 (f_point); l2_freq (n) =l2; if1_freq (n) =if1_c; rf_order (n) =ii; if_order (n) =ii; l1_order (n) = -jj; l2_order (n) =kk; full_order (n) =ii+jj+kk; n=n+1;
when super_lower < =mix_d < =spray_upper, freq_out (n) =mix_d; rf_freq (n) =rf (f_point); l1_freq (n) =l1 (f_point); l2_freq (n) =l2; ifl _freq (n) =if1_d; rf_order (n) =ii; if_order (n) =ii; l1_order (n) = -jj; l2_order (n) = -kk; full_order (n) =ii+jj+kk; n=n+1;
so far, the data calculation is completed, and the cycle is gradually exited.
Finally, uniformly storing the calculated data in a multidimensional array, and when the selection of 'conversion Setup' is down-conversion (6): the spout_table= [ freq_out, rf_freq, rf_order, lol_freq, lol_order, if1_freq, lo2_freq, lo2_order, full_order ]; when "conversion Setup" is selected as up-conversion (5): the spir_table= [ freq_out, if_freq, if_order, lo1_freq, lo1_order, if1_freq, lo2_freq, lo2_order, full_order ].
For down-conversion, the radio frequency is added by a first local oscillator and a first intermediate frequency, the first intermediate frequency is added by a second local oscillator and a second intermediate frequency, and spurious analysis calculation (calculation) is performed; the calculated data can be stored (Export. Cndot.) in Excel data format, and can also be subjected to graphic output as shown in FIG. 2.
For the down-conversion radio frequency as the first local oscillator and the first intermediate frequency, the first intermediate frequency is the addition of the second local oscillator and the second intermediate frequency, the data obtained by performing spurious analysis calculation (calculation) can be stored (Export. ·) as an Excel data format, and the graphic output shown in fig. 3 can be performed.
For up-conversion, the radio frequency is added by the first local oscillator and the first intermediate frequency, the first intermediate frequency is added by the second local oscillator and the second intermediate frequency, and spurious analysis calculation (calculation) is performed. The data obtained by analysis and calculation can be stored (Export. Cndot.) to be in an Excel data format, and can also be subjected to graphic output shown in FIG. 4.
For up-conversion, the radio frequency is subtracted from the first local oscillator and the first intermediate frequency, the first intermediate frequency is added to the second local oscillator and the second intermediate frequency, and spurious analysis calculation (calculation) is performed. The data obtained by analysis and calculation can be stored (Export. Cndot.) to be in an Excel data format, and can be subjected to graphic output shown in FIG. 5.
Comparing fig. 2 and fig. 3 obtained by down-conversion analysis and calculation, the subtraction of the radio frequency as the first local oscillator and the first intermediate frequency (rf= |lo1-IF 1|) is better than the addition of the radio frequency as the first local oscillator and the first intermediate frequency (rf= |lo1+ IF 1|), because the spurious output of the intermediate frequency is less.
Comparing fig. 4 and fig. 5, which are obtained through up-conversion analysis and calculation, the subtraction of the radio frequency with the first local oscillator and the first intermediate frequency (rf= |lo1-IF 1|) is better than the addition of the radio frequency with the first local oscillator and the first intermediate frequency (rf= |lo1+ IF 1|), because the spurious output of the radio frequency is less.
And (3) comprehensively analyzing to obtain: in the example, the radio frequency is selected to be the index of the first local oscillator subtracted from the first intermediate frequency (RF= |LO1-IF 1|) under the working states of up-conversion and down-conversion.
The invention also provides a stray performance analysis device for the radar secondary frequency conversion transceiver system, as shown in fig. 6, comprising:
the acquisition module 1 acquires frequency signal data and processing mode information selected by a user;
the intermodulation processing parameter determining module 2 obtains intermodulation processing parameters according to the processing mode information selected by the user;
the circulation calculation module 3 carries out circulation calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;
and the analysis module 4 is used for obtaining the stray performance analysis result of the system according to the output frequency data.
The embodiment of the present invention further provides a specific implementation manner of an electronic device capable of implementing all the steps in the spurious performance analysis method for a radar secondary frequency conversion transceiver system in the foregoing embodiment, and referring to fig. 3, the electronic device specifically includes the following contents:
a processor (processor) 601, a memory (memory) 602, a communication interface (Communications Interface) 603, and a bus 604;
wherein the processor 601, the memory 602, and the communication interface 603 complete communication with each other through the bus 604; the communication interface 603 is configured to implement information transmission between a spurious performance analysis device for the radar secondary frequency conversion transceiver system and related equipment such as a user device;
the processor 601 is configured to invoke a computer program in the memory 602, where the processor executes the computer program to implement all the steps in the spurious performance analysis method for a radar secondary frequency conversion transceiver system in the above embodiment, for example, the processor executes the computer program to implement the following steps:
s1: acquiring frequency signal data and processing mode information selected by a user;
s2: acquiring intermodulation processing parameters according to the processing mode information selected by the user;
s3: performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;
s4: and obtaining a spurious performance analysis result of the system according to the output frequency data.
From the above description, it can be seen that the electronic device provided by the embodiment of the invention can automatically select an optimized processing mode, select a intermodulation analysis mode with the smallest spurious emission, can realize in-band spurious emission calculation of the radar secondary frequency conversion transceiver system, and can be applied to a scheme stage, a design stage and a debugging stage of the system. Guiding the selection of frequencies at the protocol stage; providing reference for the selection of circuit parameters in the circuit implementation stage; the presence of spurs in existing systems in debugging provides an improved solution to the ability to visualize spurs.
An embodiment of the present invention further provides a computer readable storage medium capable of implementing all steps in the spurious performance analysis method for a radar secondary frequency conversion transceiver system in the above embodiment, the computer readable storage medium storing a computer program thereon, the computer program when executed by a processor implementing all steps in the spurious performance analysis method for a radar secondary frequency conversion transceiver system in the above embodiment, for example, the processor implementing the following steps when executing the computer program:
s1: acquiring frequency signal data and processing mode information selected by a user;
s2: acquiring intermodulation processing parameters according to the processing mode information selected by the user;
s3: performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;
s4: and obtaining a spurious performance analysis result of the system according to the output frequency data.
As can be seen from the above description, the computer readable storage medium provided by the embodiments of the present invention can automatically select an optimized processing mode, select a intermodulation analysis mode with the smallest spurious emission, and implement in-band spurious emission calculation of a radar secondary frequency conversion transceiver system, and is applicable to a scheme stage, a design stage and a debugging stage of the system. Guiding the selection of frequencies at the protocol stage; providing reference for the selection of circuit parameters in the circuit implementation stage; the presence of spurs in existing systems in debugging provides an improved solution to the ability to visualize spurs.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a hardware+program class embodiment, the description is relatively simple, as it is substantially similar to the method embodiment, as relevant see the partial description of the method embodiment.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Although the invention provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented by an actual device or client product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment) as shown in the embodiments or figures.
The apparatus, device, module or unit described in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a car-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Although the present description provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented in an actual device or article, the instructions may be performed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment) according to the embodiments or methods illustrated in the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, it is not excluded that additional identical or equivalent elements may be present in a process, method, article, or apparatus that comprises a described element.
For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, when implementing the embodiments of the present disclosure, the functions of each module may be implemented in the same or multiple pieces of software and/or hardware, or a module that implements the same function may be implemented by multiple sub-modules or a combination of sub-units, or the like. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another apparatus, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller can be regarded as a hardware component, and means for implementing various functions included therein can also be regarded as a structure within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It will be apparent to one of ordinary skill in the art that embodiments of the present description may be provided as a method, apparatus, or computer program product. Accordingly, the present specification embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description embodiments may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present embodiments may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part. In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the embodiments of the present specification. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
The foregoing is merely an example of an embodiment of the present disclosure and is not intended to limit the embodiment of the present disclosure. Various modifications and variations of the illustrative embodiments will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of the embodiments of the present specification, should be included in the scope of the claims of the embodiments of the present specification.

Claims (8)

1. A spurious performance analysis method for a radar secondary frequency conversion transceiver system, comprising:
acquiring frequency signal data and processing mode information selected by a user;
acquiring intermodulation processing parameters according to the processing mode information selected by the user;
performing cyclic calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data;
the output frequency data includes mixed output data and spurious output data, and the cyclic calculation is performed on the frequency signal data according to an output frequency model and the intermodulation processing parameter to obtain corresponding output frequency data, including:
determining a preset mixing processing model and a spurious processing model according to the intermodulation processing parameters;
generating mixed output data and spurious output data of each order corresponding to the frequency signal data according to the mixed processing model, the spurious processing model and the output frequency model;
in down-conversion, the mixing process model and spurious process model corresponding to the mixing process model are as follows
mix_a＝|rf(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|rf(f_point)*ii+lo1(f_point)*jj|；
mix_b＝|rf(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|rf(f_point)*ii+lo1(f_point)*jj|；
mix_c＝|rf(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|rf(f_point)*ii-lo1(f_point)*jj|；
mix_d＝|rf(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|rf(f_point)*ii-lo1(f_point)*jj|；
In the up-conversion, the mixing process model and the spurious process model corresponding to the mixing process model are as follows
mix_a＝|if2(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|if2(f_point)*ii+lo2*kk|；
mix_b＝|if2(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|if2(f_point)*ii+lo2*kk|；
mix_c＝|if2(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|if2(f_point)*ii+lo2*kk|；
mix_d＝|if2(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|if2(f_point)*ii+lo2*kk|；
Wherein rf represents an array generated by steps of a radio frequency start frequency, a radio frequency end frequency and a radio frequency, if1 represents a first intermediate frequency center frequency, if2 represents a second intermediate frequency center frequency, f_point represents a frequency point, variable ii represents each order of the radio frequency or the second intermediate frequency center frequency, variable jj represents each order of the first local oscillation frequency lo1, and variable kk represents each order of the second local oscillation frequency lo2; and obtaining a spurious performance analysis result of the system according to the output frequency data.
2. The spurious performance analysis method of claim 1, wherein obtaining a corresponding output frequency model based on the user selected processing mode information comprises:
and searching an output frequency model corresponding to the processing mode information selected by the user from the mapping relation between the processing mode information and the output frequency model.
3. The spurious performance analysis method of claim 2, wherein the intermodulation processing parameters comprise: the system comprises a radio frequency starting frequency, a radio frequency ending frequency, a radio frequency stepping, a first intermediate frequency center frequency, a second intermediate frequency bandwidth and the highest simulation order.
4. The spurious performance analysis method of claim 1, wherein the output frequency model is:
f o ＝|±m×f i ±n×f LO1 ±k×f LO2 |
where m, n and k are the orders of mixing the frequencies, m+n+k is the total mixing order, f i Is the radio frequency or the second intermediate frequency, f LO1 For the first local oscillation frequency f LO2 Is the second local oscillator frequency.
5. The spurious performance analysis method of claim 1, wherein obtaining spurious performance analysis results of the system from the output frequency data comprises:
calculating the mixing output data, and judging whether the spurious of the mixing output is in a frequency band or not;
saving the calculated data and spurious output data as a pattern;
and analyzing the stray performance of the system through the pattern to obtain a stray performance analysis result of the system.
6. A spurious performance analysis device for a radar secondary frequency conversion transceiver system, comprising:
the acquisition module acquires frequency signal data and processing mode information selected by a user;
the intermodulation processing parameter determining module is used for obtaining intermodulation processing parameters according to the processing mode information selected by the user;
the circulation calculation module is used for carrying out circulation calculation on the frequency signal data according to an output frequency model and the intermodulation processing parameters to obtain corresponding output frequency data; the analysis module is used for obtaining a stray performance analysis result of the system according to the output frequency data;
the output frequency data includes mixed output data and spurious output data, and the cyclic calculation is performed on the frequency signal data according to an output frequency model and the intermodulation processing parameter to obtain corresponding output frequency data, including:
determining a preset mixing processing model and a spurious processing model according to the intermodulation processing parameters;
generating mixed output data and spurious output data of each order corresponding to the frequency signal data according to the mixed processing model, the spurious processing model and the output frequency model;
in down-conversion, the mixing process model and spurious process model corresponding to the mixing process model are as follows
mix_a＝|rf(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|rf(f_point)*ii+lo1(f_point)*jj|；
mix_b＝|rf(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|rf(f_point)*ii+lo1(f_point)*jj|；
mix_c＝|rf(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|rf(f_point)*ii-lo1(f_point)*jj|；
mix_d＝|rf(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|rf(f_point)*ii-lo1(f_point)*jj|；
In the up-conversion, the mixing process model and the spurious process model corresponding to the mixing process model are as follows
mix_a＝|if2(f_point)*ii+lo1(f_point)*jj+lo2*kk|，if1_a＝|if2(f_point)*ii+lo2*kk|；
mix_b＝|if2(f_point)*ii+lo1(f_point)*jj-lo2*kk|，if1_b＝|if2(f_point)*ii+lo2*kk|；
mix_c＝|if2(f_point)*ii-lo1(f_point)*jj+lo2*kk|，if1_c＝|if2(f_point)*ii+lo2*kk|；
mix_d＝|if2(f_point)*ii-lo1(f_point)*jj-lo2*kk|，if1_d＝|if2(f_point)*ii+lo2*kk|；
Wherein rf represents an array generated by steps of a radio frequency start frequency, a radio frequency end frequency and a radio frequency, if1 represents a first intermediate frequency center frequency, if2 represents a second intermediate frequency center frequency, f_point represents a frequency point, variable ii represents each order of the radio frequency or the second intermediate frequency center frequency, variable jj represents each order of the first local oscillation frequency lo1, and variable kk represents each order of the second local oscillation frequency lo 2.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of any of claims 1 to 5 when the program is executed.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 5.
CN202011498352.6A 2020-12-17 2020-12-17 Spurious performance analysis method and device for radar secondary frequency conversion receiving and transmitting system Active CN112763991B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011498352.6A CN112763991B (en) 2020-12-17 2020-12-17 Spurious performance analysis method and device for radar secondary frequency conversion receiving and transmitting system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011498352.6A CN112763991B (en) 2020-12-17 2020-12-17 Spurious performance analysis method and device for radar secondary frequency conversion receiving and transmitting system

Publications (2)

Publication Number Publication Date
CN112763991A CN112763991A (en) 2021-05-07
CN112763991B true CN112763991B (en) 2023-09-29

Family

ID=75693972

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011498352.6A Active CN112763991B (en) 2020-12-17 2020-12-17 Spurious performance analysis method and device for radar secondary frequency conversion receiving and transmitting system

Country Status (1)

Country Link
CN (1) CN112763991B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07221663A (en) * 1994-02-07 1995-08-18 Japan Radio Co Ltd Super heterodyne reception system
US5524281A (en) * 1988-03-31 1996-06-04 Wiltron Company Apparatus and method for measuring the phase and magnitude of microwave signals
CN1889548A (en) * 2005-06-27 2007-01-03 华为技术有限公司 Method and circuit for raising Anti 2X2 order interference function of digital medium frequency receiver
CN206993092U (en) * 2017-07-24 2018-02-09 无锡天路科技有限公司 Ku wave band direct-type frequency synthesizers
CN107749755A (en) * 2017-11-10 2018-03-02 中国电子科技集团公司第四十研究所 It is a kind of to improve the frequency scanning control method for receiving the spuious index of unit frequency
CN209572005U (en) * 2019-03-26 2019-11-01 成都九洲迪飞科技有限责任公司 A kind of test automatically evades the spuious system of receiver intermodulation

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7783259B2 (en) * 2004-09-28 2010-08-24 Microtune (Texas), L.P. System and method of eliminating or minimizing LO-related interference from tuners

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5524281A (en) * 1988-03-31 1996-06-04 Wiltron Company Apparatus and method for measuring the phase and magnitude of microwave signals
JPH07221663A (en) * 1994-02-07 1995-08-18 Japan Radio Co Ltd Super heterodyne reception system
CN1889548A (en) * 2005-06-27 2007-01-03 华为技术有限公司 Method and circuit for raising Anti 2X2 order interference function of digital medium frequency receiver
CN206993092U (en) * 2017-07-24 2018-02-09 无锡天路科技有限公司 Ku wave band direct-type frequency synthesizers
CN107749755A (en) * 2017-11-10 2018-03-02 中国电子科技集团公司第四十研究所 It is a kind of to improve the frequency scanning control method for receiving the spuious index of unit frequency
CN209572005U (en) * 2019-03-26 2019-11-01 成都九洲迪飞科技有限责任公司 A kind of test automatically evades the spuious system of receiver intermodulation

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Spurious and Intermodulation Response Analysis of Passive Double-Balanced Mixers using the Double- Frequency Scanning Technique;Vladimir Mordachev, et al;Proc. of the 2013 International Symposium on Electromagnetic Compatibility (EMC Europe 2013);第737-742页 *
一种双频段跟踪接收机下变频模块的设计与实现;刘伯文等;无线电工程;第155-158页 *

Also Published As

Publication number Publication date
CN112763991A (en) 2021-05-07

Similar Documents

Publication Publication Date Title
Goldberg Digital frequency synthesis demystified: DDS and fractional-N PLLs
US6587671B1 (en) RF test set with concurrent measurement architecture
US8374552B2 (en) Concurrent testing of multiple communication devices
CN107462876A (en) A kind of radar echo signal simulator
CN108123684A (en) A kind of Digital Down Convert processing method and equipment
CN101442368A (en) Phase noise emulator for broadcast communication transmitter and significance testing method capable of resisting phase noise
CN102468868B (en) DDS signal generator and frequency-hopping method
CN103178870B (en) A kind of Frequency Hopping Signal generator and frequency-hopping method
CN108279882B (en) Framework generation method, device, equipment and computer readable medium
CN112763991B (en) Spurious performance analysis method and device for radar secondary frequency conversion receiving and transmitting system
EP2806566A1 (en) A matrix for use with a radio transceiver and methods thereto
US6691050B2 (en) Data acquisition instrument architecture with flexible data acquisition, processing and display
JPH10269280A (en) Method for analyzing circuit
CN115085855A (en) Signal interference method and system based on software reconfigurable technology
CN105163342A (en) Method for obtaining electromagnetic compatibility characteristic of object-oriented wireless device communication system
US11463285B2 (en) Signal analysis apparatus and signal analysis method
CN110729996A (en) Phase-locked loop circuit and method for miniaturization double phase locking
CN113409022B (en) Platform-oriented automatic acceptance method and device
CN111338966B (en) Big data processing detection method and device of data source table
CN112290934B (en) Controllable jitter clock generating device based on Bias-Tee signal synthesis
CN114915527A (en) Hybrid modulation signal synthesis method based on software reconfiguration and generator
CN108614207A (en) A kind of the signal source switching device and method of vector network analyzer
CN108802660A (en) Calibration method, equipment and the system of the ALC of radio-frequency signal source
CN107294551B (en) Anti-interference method, unit and system
CN110059302A (en) Data Date formatting method, device, equipment and readable storage medium storing program for executing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant