CN110031814A - A kind of continuous Multiple Target Signals synthetic method of frequency spectrum - Google Patents

A kind of continuous Multiple Target Signals synthetic method of frequency spectrum Download PDF

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CN110031814A
CN110031814A CN201910322399.8A CN201910322399A CN110031814A CN 110031814 A CN110031814 A CN 110031814A CN 201910322399 A CN201910322399 A CN 201910322399A CN 110031814 A CN110031814 A CN 110031814A
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signal
multiple target
pri
pulse
sampling point
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CN110031814B (en
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高祥
杨金金
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Chengdu Jiu Jin Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section

Abstract

The present invention relates to the generation of radar target signal and simulation fields.Purpose is to provide a kind of continuous Multiple Target Signals synthetic method of frequency spectrum, and user first generates the interface input signal parameter that software provides by signal;Then signal memory usage, including initialization memory headroom are calculated;Second step, each input pulse signal of recurrent wrIting in memory headroom, and recording impulse position;Third step counts signal sampling point number and idle sampling point number after all signal overlaps;4th step, the calculating of space utilization rate;Obtain Multiple Target Signals envelope information;Intrapulse information processing is then carried out, signal intrapulse information is added, forms multiple target wave file;Multiple target wave file is called finally by arbitrary waveform generator, generates multi-target simulation signal.And the virtual memory space size for needing to occupy by calculating composite signal, it ensure that the skeleton period of each signal holding full number in composite signal, so that Multiple Target Signals frequency spectrum is continuous, spurious reduction performance is good.

Description

A kind of continuous Multiple Target Signals synthetic method of frequency spectrum
Technical field
It is generated the present invention relates to radar target signal and simulation field, in particular to a kind of continuous Multiple Target Signals of frequency spectrum is closed At method.
Background technique
Modern radar system is full-featured and performance is complicated, can be scanned, track simultaneously, identifying and target is hit Deng operation.In radar system research and development, test, it usually needs tested using suitable target simulator.It is limited to hardware Condition and analogy method, target simulator used at present are mostly just for certain several specific objective, and simulator exports target The precision of timeliness and each target will receive limitation.
Summary of the invention
In view of this, the present invention provides a kind of continuous Multiple Target Signals synthetic method of frequency spectrum, this method has hardware resource Utilization rate height, Multiple Target Signals advantage with high accuracy.
For achieving the above object, the technical scheme adopted by the invention is that: a kind of continuous Multiple Target Signals of frequency spectrum are closed At method the following steps are included:
1) user generates the parameter input interface that software provides, setting signal parameter by signal;
2) signal memory usage is calculated;
3) virtual memory space size needed for calculating composite signal, and according to Multiple Target Signals required precision adjustment signal arteries and veins The PRI of punching;
4) it using step 3 signal parameter adjusted is passed through, chronologically arranges signal again in virtual memory space, obtains To the envelope information of Multiple Target Signals;
5) intrapulse information processing is executed, adds intrapulse information for Multiple Target Signals envelope;
6) arbitrary waveform generator generates Multiple Target Signals according to multiple target wave file.
Preferably, the signal parameter in the step 1 includes signal number, the delay Delay of signal, signal pulsewidth τ, letter Number pulse recurrence interval PRI, signal intra-pulse modulation mode and signal intra-pulse modulation parameter.
Preferably, the signal parameter in the step 1 is converted to discrete time signal parameter by continued time domain signal parameter Formula are as follows:
τpoints=round ((τ * fs)/Ngran)*Ngran
PRIpoints=round ((PRI*fs)/Ngran)*Ngran
Delaypoints=round ((Delay*fs)/Ngran)*Ngran
Wherein, τ is signal pulsewidth, and PRI is signal pulse recurrence interval, and Delay is signal delay, fsFor systematic sampling Rate, NgranFor the accessible signal granularity of system, τpointsAnd PRIpointsFor after digitizing and adjusting Relationship Between Size Signal pulsewidth and signal pulse recurrence interval, DelaypointsFor the discrete points of delay.
Preferably, the detailed process of the step 2 are as follows:
The first step initializes memory headroom;
Second step, circulation stores each input pulse signal, and recording impulse position in memory headroom;
Third step counts signal sampling point number and idle sampling point number after all Signal averagings;
4th step, the calculating of space utilization rate:
Space utilization rate=signal sampling point number/memory headroom size.
Preferably, the detailed process of the step 3 are as follows:
The first step sets currently available gross space;
Second step can use the minimum memory headroom of search in gross space in setting;
Third step, there are minimum memory headroom, then minimum memory headroom is as signal occupied space, signal parameter without Adjustment;There is no minimum memory headrooms, search again for, and the smallest space of pulse signal PRI error is signal occupied space, and is adjusted The entire signal PRI skeleton period.
Preferably, each signal stored in the minimum memory headroom is complete cycle.
Preferably, the pulse signal PRI error is defined as:
Signal PRI error=(occupied space points-signal skeleton period * signal skeleton total number of cycles)/signal skeleton week Phase sum;
Wherein, signal skeleton total number of cycles=floor (occupied space points/signal skeleton period), floor is directed to down It is rounded;
The new skeleton period after adjustment signal are as follows:
New skeleton period=original signal skeleton period+signal PRI error.
Preferably, the detailed process of the step 4 are as follows:
The first step, parameter after input adjustment;
Second step, in the virtual memory being calculated in step 3, count after all Signal averagings signal sampling point number and The envelope informations such as idle sampling point number;
Signal sampling point number total in composite signal is written in Multiple Target Signals file, in composite signal by third step Total idle sampling point number is written in signal configuration file.
Preferably, the detailed process of the step 5 are as follows:
The first step, by the signal pulse number that the total segments of the signal after synthesizing is calculated in step 4, every section of segment includes;
Second step, data size of defining arrays are every section of segment points;
Third step, the envelope information that read step 4 saves;
4th step is superimposed each letter by overall pulse number in resultant signal number and segment in chronological order in array data Number amplitude information;
The signal segment synthesized in array data after the completion of each segment signal superposition, is saved in multiple target letter by the 5th step In number file, and empties array and recycled next time.
Preferably, the arbitrary waveform generator in the step 6 generates analog signal using the method for digital-to-analogue conversion.
The invention has the following advantages: in the inventive solutions, because according to composite signal required precision The PRI of signal pulse is adjusted, so that the multiple target composite signal precision generated is high.And it is needed by calculating composite signal The virtual memory space size of occupancy ensure that the skeleton period of each signal holding full number in composite signal, so that Multiple Target Signals frequency spectrum is continuous, and spurious reduction performance is good.Simultaneously when generating Multiple Target Signals file, by only storing signal arteries and veins The method that interior information (signal sampling point) does not store idle sampling point not only efficiently uses hardware resource and also saves storage time.
Detailed description of the invention
Fig. 1 is that individual signals of the present invention divide schematic diagram;
Fig. 2 is that the continuous Multiple Target Signals of frequency spectrum of the present invention synthesize schematic diagram;
Fig. 3 is the continuous multiple target synthetic schemes of frequency spectrum of the present invention;
Fig. 4 is signal arrangement mode schematic diagram in memory space;
Fig. 5 is function calculate_duty_cycle work flow diagram;
Fig. 6 is function calculate_virtual_ram work flow diagram;
Fig. 7 is function rearrange_mult_sig work flow diagram;
Fig. 8 is that pulse constitutes schematic diagram in signal segment of the present invention;
Fig. 9 is signal intrapulse information process flow diagram of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts Example is applied, shall fall within the protection scope of the present invention.
A kind of no breakpoint Multiple Target Signals synthetic method comprises the concrete steps that: as shown in Figure 1, first according to the spy of pulse signal Individual signals are divided into signal sampling point (pulse width part) and an idle sampling point (pulse period interior remainder after removing pulsewidth by sign Part) two parts.Secondly, storage signal sampling point generates Multiple Target Signals file in RAM, while generating signal configuration text Part.It may then use that arbitrary waveform generator, multi-target simulation signal generated by the method for digital-to-analogue conversion.The random waveform Generator is dedicated arbitrary waveform generator or the signal generator of function occurs with random waveform.
The Multiple Target Signals file only stores signal sampling point, and to idle sampling point without storage, it is empty to reach saving storage Between purpose.The signal configuration file includes two parts content, and a part of content is total segments of signal sampling point and each The number of segment signal sampling point, another part content are total number of segment of idle sampling point and the number of each section of idle sampling point;The letter The signal of number sampling point and idle sampling point alternately stores, i.e., first stores the first bars sampling point information, then store first Idle sampling point information, followed by the second bars sampling point information of storage, then followed by storage Article 2 free time sampling point information, directly It stores and completes to all information.
Further, the Multiple Target Signals composition principle are as follows: firstly, inputting each pulse signal by user interface Delay Delay, signal pulsewidth τ, signal pulse recurrence interval PRI, signal amplitude, in signal intra-pulse modulation mode and signal arteries and veins The signal parameters such as modulation parameter.
Then, because the signal that the present invention is handled all is discrete time-domain signal, therefore need to be by continuous time signal Parameter Switch For discrete-time signal parameter.The relationship of continuous time signal and discrete-time signal are as follows:
τpoints=round ((τ * fs)/Ngran)*Ngran
PRIpoints=round ((PRI*fs)/Ngran)*Ngran
Delaypoints=round ((Delay*fs)/Ngran)*Ngran
Wherein, τ is signal pulsewidth, and PRI is signal pulse recurrence interval, and Delay is signal initial time delay, fsIt is adopted for system Sample rate, NgranFor the accessible signal granularity of system, τpointsAnd PRIpointsFor after digitizing and adjusting Relationship Between Size Signal pulsewidth and signal pulse recurrence interval, DelaypointsFor the discrete points of delay.
Then, multiple signals are synthesized in the time domain.As shown in Fig. 2, being carried out to signal S1 (t) and signal S2 (t) Synthesis processing, generates composite signal S (t).Within the period that only pulse occur in individual signals, retain original signal envelope, closes The pulse 2 in signal S1 (t) is only remained at the signal segment 2 in signal S (t), during this period of time signal S2 (t) no pulse It generates.Within the period that multiple signals pulse occur simultaneously, signal envelope superposition, the signal patch in composite signal S (t) are carried out Section 1 and signal segment 3 are then signal envelope overlapping portion, i.e., during this period of time, the pulse of signal S1 (t) and signal S2 (t) Signal generates simultaneously or pulse signal part generates simultaneously.Then signal segment number in statistics composite signal S (t), and Count the pulse sequence information in the sampling number and signal segment that each segment signal segment includes, the signal segment number, Sampling number and pulse sequence information are written in signal configuration file, and the signal segment is written to Multiple Target Signals file In.Intra-pulse modulation information is finally handled in the signal segment in composite signal S (t), forms signal waveform file and by appointing Waveform generator of anticipating generates Multiple Target Signals.The processing mode of the composite signal S (t) and intra-pulse modulation information be all according to when Between with systematic sampling rate signal sampling point is calculated.
In composition principle of the invention, the signal type synthesized is not limited to a type of signal, for The signal type multiplicity of selection.It include: conventional, irregular, shake and sliding change according to pulse repetition classification of type, according to intrapulse information Classification includes: single-frequency, diversity, LFM, NLFM, biphase coding and four phases coding.
Further, as shown in figure 3, the no breakpoint Multiple Target Signals synthesize detailed process are as follows: firstly, signal generation is soft Part provides parameter input interface, and the signal generates the preferred W2261BP software of software in the present embodiment.User is in input interface Input signal number, the delay Delay of signal, signal pulsewidth τ, signal pulse recurrence interval PRI, signal intra-pulse modulation mode and The information such as signal intra-pulse modulation parameter.
In conjunction with shown in Fig. 4-5, the duty ratio that function calculate_duty_cycle calculates signal is recalled, in function In calculate_duty_cycle, first according to input pulse signal parameter, memory headroom is initialized, that is, defines total sampling point institute Take up space size, and each input pulse signal, recording impulse position are recycled in this section of memory headroom.Then statistics is all Information after signal overlap, i.e., signal sampling point number sig_pnts (one or more signal pulsewidth overlappings in statistics composite signal Part) and free time sampling point number idle_pnts (one or more signal free time laps).Finally calculate the space benefit of signal With rate, that is, the duty ratio of signal is calculated,
Space utilization rate=signal sampling point number/memory headroom size.
As shown in fig. 6, it is virtual interior then to call function calculate_virtual_ram calculating composite signal that need to occupy Space size is deposited, is adjusted according to PRI of the required precision to signal pulse.Because idle sampling point and signal sampling point are all by outer Portion's input, so first setting currently available gross space as total_pnts, then in the available gross space total_ of setting Search meets the minimum memory headroom min_pnts of condition in pnts, so that each signal stored in space is complete cycle (pulse skeleton period):
Min_pnts=k*PRI,
Wherein k is integer, and PRI is the signal skeleton period.
If there is minimum memory headroom min_pnts, so that each signal of storage is the integer skeleton period, then Min_pnts is returned to as signal occupied space, signal parameter does not adjust.If there is no minimum memory headroom min_pnts, So that each signal of storage is the integer skeleton period, then search again for, it is the smallest that calculating meets pulse signal PRI error Available space is as signal occupied space.PRI error is defined as:
Signal PRI error=(occupied space points-signal skeleton period * signal skeleton total number of cycles)/signal skeleton week Phase sum;
Wherein, signal skeleton total number of cycles=floor (occupied space points/signal skeleton period), floor is directed to down It is rounded;
The new skeleton period after adjustment signal are as follows:
New skeleton period=original signal skeleton period+signal PRI error.
Parameter, the gross space virtual_ram that setting signal occupies are finally returned to, the signal occupies gross space Virtual_ram is virtual memory space, updates signal parameter adjusted, i.e., the new PRI skeleton period.The virtual memory Space, which refers to, stores the memory headroom that all signal messages (all information in signal pulse PRI) need to occupy.In this method In, only signal intrapulse information is stored, idle sampling point is not stored, so that the actual memory that wave file occupies is empty Between be much smaller than virtual memory.
As shown in fig. 7, then function rearrange_mult_sig is called to reset multi signal time domain, first input Signal arteries and veins after signal parameter adjusted in function calculate_virtual_ram, i.e. signal number, signal pulsewidth, adjustment Rush repetition period PRI, signal occupied space virtual_ram;Then count all in signal occupied space virtual_ram Information after signal overlap, i.e. signal sampling point number sig_pnts and idle sampling point number idle_pnts, in multiple signal overlaps Part, the gain of signal is that the amplitude of all overlapped signals is superimposed after synthesis;Finally by signal number of samples total in composite signal Mesh sig_pnts is written in Multiple Target Signals file, and total idle sampling point number idle_pnts is written to letter in composite signal In number configuration file.When handling timing information in virtual memory space, need to consider the initial time delay of each signal, it is described Initial time delay is a fixed value or external input value.
Intrapulse information processing is finally carried out, the wave file of composite signal is generated.The intrapulse information is handled each letter The signal sampling point of number segment is all stored in wave file.
When carrying out without the synthesis of breakpoint Multiple Target Signals, it is adjusted according to PRI of the composite signal precision to signal pulse, So that the multiple target composite signal precision generated is high.And the virtual memory space size that composite signal needs to occupy is calculated, guarantee Each signal is kept for the skeleton period of full number in composite signal, and signal spectrum is continuous, spurious reduction is good.
Wherein, described function calculate_duty_cycle, calculate_virtual_ram, rearrange_ Mult_sig is signal envelope information processing content.After the signal envelope information processing is for calculating Multiple Target Signals synthesis Envelope relationship between envelope information and individual signals and composite signal.
When the signal envelope information processing carries out the timing synthesis of signal, when the period of only individual signals appearance It is interior, retain original signal envelope;In the period for there are multiple signals while occurring, signal envelope superposition is carried out.In function Rearrange_mult_sig completes segment number, each fragment signal of signal after multi signal retiming is synthesized later Pulse sequence information in the number of sampling point and each segment.Pulse sequence information in each segment includes a certain conjunction At timing position of each pulse signal number and each pulse signal for including in segment in synthesis segment.When a certain Pulse signal is synthesized in segment and do not included, then is set as 0.Pulse sequence information in each segment is in subsequent arteries and veins Information processing.
As shown in figure 8, a certain synthesis segment includes that each pulse signal number specifically refers to, each signal is read in the letter The pulse signal number generated in number segment, the signal segment are by " segment starting " mark to " segment terminates " mark It terminates.Signal S3 (t) pulse-free signal in signal segment shown in Fig. 4, therefore its number is set as 0, signal in the signal segment S4 (t) pulse signal number is 3, and signal S5 (t) pulse signal number is 1 in the signal segment.
The composite signal intrapulse information processing effect is the addition intra-pulse modulation information into composite signal, is formed final Composite signal.The signal intrapulse information handles detailed process are as follows:, will be each according to the information that signal envelope information processing obtains The intrapulse information of a signal is synthesized, and multiple target wave file is formed.As shown in figure 5, firstly, by function rearrange_ The total segments of signal after synthesis is calculated in mult_sig.Secondly, array data is for storing data sample, space size For the sampling point number of each segment signal segment.Then, the ginseng of each signal of user interface of software input is generated according to signal Number, signal message is synthesized in signal segment, i.e., is handled resultant signal number and overall pulse number in array data, on time Between laminated structure each signal amplitude information.Finally, after the completion of the superposition of each segment signal, the letter that will be synthesized in array data Number segment is saved in Multiple Target Signals file, then carries out the processing of next signal segment.
Further, after the synthesis of no breakpoint Multiple Target Signals, the signal sampling point of each signal segment is all stored in In multiple target wave file.Then, arbitrary waveform generator reads file, while basis according to the signal number of samples of signal segment Interval points addition free time between signal segment, complete pulse signal sampling point is generated, and download in memory, adopted Analog signal is exported with the method for digital-to-analogue conversion.
Multiple Target Signals synthetic method of the invention, when generating Multiple Target Signals file, by only storing in signal arteries and veins The method that information does not store idle sampling point not only efficiently uses hardware resource and also saves storage time.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.

Claims (9)

1. a kind of continuous Multiple Target Signals synthetic method of frequency spectrum, which comprises the following steps:
1) user generates the parameter input interface that software provides, setting signal parameter by signal;
2) signal memory usage is calculated;
3) virtual memory space needed for calculating composite signal, and according to the PRI of Multiple Target Signals required precision adjustment signal pulse;
4) step 3 signal parameter adjusted is utilized, signal is chronologically arranged again in virtual memory space, obtains multiple target The envelope information of signal;
5) intrapulse information processing is executed, intrapulse information is added for Multiple Target Signals envelope, generates multiple target wave file;
6) arbitrary waveform generator generates multi-target simulation signal according to multiple target wave file.
2. the continuous Multiple Target Signals synthetic method of a kind of frequency spectrum according to claim 1, it is characterised in that: the step 1 In signal parameter include signal number, the delay Delay of signal, signal pulsewidth τ, signal pulse recurrence interval PRI, signal arteries and veins Internal modulation mode and signal intra-pulse modulation parameter.
3. the continuous Multiple Target Signals synthetic method of a kind of frequency spectrum according to claim 1, it is characterised in that: the step 1 In signal parameter the formula of discrete time signal parameter is converted to by continued time domain signal parameter are as follows:
τpoints=round ((τ * fs)/Ngran)*Ngran
PRIpoints=round ((PRI*fs)/Ngran)*Ngran
Delaypoints=round ((Delay*fs)/Ngran)*Ngran
Wherein, τ is signal pulsewidth, and PRI is signal pulse recurrence interval, and Delay is signal delay, fsFor systematic sampling rate, Ngran For the accessible signal granularity of system, τpointsAnd PRIpointsFor by digitizing and adjusting the signal pulsewidth after Relationship Between Size With signal pulse recurrence interval, DelaypointsFor the discrete points of delay.
4. the continuous Multiple Target Signals synthetic method of a kind of frequency spectrum according to claim 1, it is characterised in that: the step 2 Detailed process are as follows:
The first step initializes memory headroom;
Second step, each input pulse signal of recurrent wrIting in memory headroom, and recording impulse position;
Third step counts signal sampling point number and idle sampling point number after all signal overlaps;
4th step, the calculating of space utilization rate;
Space utilization rate=signal sampling point number/memory headroom size.
5. the continuous Multiple Target Signals synthetic method of a kind of frequency spectrum according to claim 4, it is characterised in that: the step 3 Detailed process are as follows:
The first step sets currently available gross space;
Second step can use the minimum memory headroom of search in gross space in setting;
Third step, there are minimum memory headrooms, then minimum memory headroom is as signal occupied space, and signal parameter is without adjusting It is whole;There is no minimum memory headrooms, search again for, and the smallest space of pulse signal PRI error is signal occupied space, and is adjusted The signal PRI skeleton period;
The each signal stored in the minimum memory headroom is the integer skeleton period.
6. the continuous Multiple Target Signals synthetic method of a kind of frequency spectrum according to claim 5, it is characterised in that: the pulse letter Number PRI error is defined as:
Signal PRI error=(occupied space points-* signal period in signal skeleton period sum)/signal skeleton total number of cycles;
Wherein, signal skeleton total number of cycles=floor (occupied space points/signal skeleton period), floor is directed to down take It is whole;
The new skeleton period after adjustment signal are as follows:
New skeleton period=original signal skeleton period+signal PRI error.
7. the continuous Multiple Target Signals synthetic method of a kind of frequency spectrum according to claim 1, it is characterised in that: the step 4 Detailed process are as follows:
The first step inputs signal parameter adjusted;
Second step in the virtual memory being calculated in step 3, counts signal sampling point number and free time after all signal overlaps Sampling point number;
Signal sampling point number total in composite signal is written in multiple target wave file by third step, in composite signal always Idle sampling point number is written in signal configuration file.
8. the continuous Multiple Target Signals synthetic method of a kind of frequency spectrum according to claim 1, it is characterised in that: the step 5 Detailed process are as follows:
The first step, by the signal pulse number that the total segments of the signal after synthesizing is calculated in step 4, every section of segment includes;
Second step, data size of defining arrays are every section of segment sampling point number;
Third step, the envelope information that read step 4 saves;
4th step is superimposed each signal in array data by overall pulse number in resultant signal number and segment in chronological order Amplitude information;
The signal segment synthesized in array data after the completion of each segment signal superposition, is saved in multiple target waveform text by the 5th step In part, and empties array and recycled next time.
9. the continuous Multiple Target Signals synthetic method of a kind of frequency spectrum according to claim 1, it is characterised in that: the step 6 In arbitrary waveform generator using digital-to-analogue conversion method generate analog signal.
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Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109407062B (en) * 2018-09-29 2020-09-04 北京润科通用技术有限公司 Storage space configuration method, target simulation method and radar simulator
CN109557516B (en) * 2018-11-28 2022-08-30 四川九洲电器集团有限责任公司 Method for quickly generating multi-target space signals
CN110261834B (en) * 2019-07-19 2023-03-24 成都玖锦科技有限公司 Method for improving quality of hybrid radar signal
US10948568B1 (en) 2019-09-12 2021-03-16 Cypress Semiconductor Corporation Radar detection in a wireless LAN
CN111654333A (en) * 2020-05-08 2020-09-11 中国电子产品可靠性与环境试验研究所((工业和信息化部电子第五研究所)(中国赛宝实验室)) Wireless signal generation method and wireless signal generation device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6498583B1 (en) * 2001-12-27 2002-12-24 Chung-Shan Institute Of Science And Technology Real time multiple simulated targets generator for mono pulse radar
TW531659B (en) * 2001-12-11 2003-05-11 Chung Shan Inst Of Science Single-pulse radar multi-target real-time simulation generator
CN107066693A (en) * 2017-03-14 2017-08-18 长沙鼎端电子技术有限公司 The spaceborne AIS reconnaissance signals simulation system of multi-channel multi-target

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2465752B (en) * 2008-11-26 2012-11-14 Ubidyne Inc A calibration apparatus and a method for generating at least one calibration signal for an antenna array
CN101634704B (en) * 2009-07-16 2012-07-11 南京瑞德通讯技术有限公司 Target simulator of external field of radar adopting carrier wave extraction video storage method
CN103760539B (en) * 2014-01-28 2016-08-17 无锡市雷华科技有限公司 Multi-target radar echo simulation system and method
CN106502309B (en) * 2016-11-15 2020-02-07 中国电子科技集团公司第四十一研究所 DA return-to-zero retention function-based time domain interleaving arbitrary waveform synthesis device and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW531659B (en) * 2001-12-11 2003-05-11 Chung Shan Inst Of Science Single-pulse radar multi-target real-time simulation generator
US6498583B1 (en) * 2001-12-27 2002-12-24 Chung-Shan Institute Of Science And Technology Real time multiple simulated targets generator for mono pulse radar
CN107066693A (en) * 2017-03-14 2017-08-18 长沙鼎端电子技术有限公司 The spaceborne AIS reconnaissance signals simulation system of multi-channel multi-target

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ZHANG D, ET AL: "Continuously Moving Target Simulator Design", 《PIERS PROCEEDINGS》 *
张媛: "雷达目标环境建模与仿真", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
黄凡夫: "雷达多目标回波模拟技术研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

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