CN106383340A - Speed false target identifying method of random pulse initial phase radar - Google Patents
Speed false target identifying method of random pulse initial phase radar Download PDFInfo
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- CN106383340A CN106383340A CN201611049417.2A CN201611049417A CN106383340A CN 106383340 A CN106383340 A CN 106383340A CN 201611049417 A CN201611049417 A CN 201611049417A CN 106383340 A CN106383340 A CN 106383340A
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Classifications
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- 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
- G01S7/36—Means for anti-jamming, e.g. ECCM, i.e. electronic counter-counter measures
-
- 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
- G01S7/41—Details 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 invention provides a speed false target identifying method of random pulse initial phase radar. When PRIP radar echo is received by radar, the radar firstly uses an interference delay estimating method based on minimal entropy to estimate the delay of interference. Then, the radar extracts the estimated delay information and establishes a target joint sparse representation dictionary, a true target sparse representation dictionary adapts to radar transmission signals and is established based on initial phase information of coherent accumulation bursts, and a speed false target sparse representation dictionary is established using the extracted estimated delay information, so that speed false target interference signal can be better matched. Finally, echo signals are subjected sparse representation in the joint dictionary. Since sparse representation of target signals can only be realized in respective corresponding dictionaries, so that targets can be separated. The speed false target identifying method can effectively solve the problem of speed false target recognition of RPIP radar.
Description
Technical field
The invention belongs to anti-radar active Cheat Jamming Technique field, it is specifically related to a kind of random pulses initial phase
Radar speed decoy recognition methodss.
Background technology
Have benefited from developing rapidly of DRFM (Digital Radio Frequency Memory, digital RF stores) technology
And its extensive application in jammer, false target jamming profile progressively become radar deception interference main development direction.False mesh
Mark interference signal can enter radar receiver and obtain the processing gain suitable with real goal echo, make radar complicated
In ECM environment, face more difficult situation, do not consider that the radar of AF panel will lose very in actual applications
To forfeiture fighting efficiency.
Speed decoy is typical one-dimensional false target jamming profile in false target jamming profile, refers to that jammer passes through to intercept and capture radar letter
Number and modulate forward and radar receiver process after produce similar from true velocity target property but kinematic parameter is different
False target jamming profile, can reach fascination the normal detection to true velocity target for the radar, cause false-alarm, false dismissal etc. interference effect
Really.
RPIP (Random Pulse Initial Pulse, random pulses initial phase) signal refers to pulse initial phase
A kind of New System pulse sequence in each PRI (Pulse Repetition Interval, pulse repetition period) interior change at random
Column signal, and adopt RPIP signal to be RPIP radar as the radar of transmission signal.
RPIP signal changes pulse initial phase parameter in each PRI, and this kind of change only (is grasped to known to one's own side
Prior information), therefore, RPIP radar has certain anti-interference advantage.However, the randomness of this signal parameter is at signal
Reason brings certain difficulty, and particularly when RPIP radar faces speed false target jamming profile, traditional matched filtering method is very
The difficult true velocity target detection that even cannot complete is identified with speed decoy, through retrieving the documents and materials published at present,
Have not seen the speed decoy recognition methodss with regard to RPIP radar, this has had a strong impact on the electronic warfare in actual complex for the RPIP radar
Survival ability in, therefore, it is necessary to solve the speed decoy identification problem of RPIP radar.
Content of the invention
The present invention provides a kind of speed decoy recognition methodss of RPIP radar, and the method is based on compressive sensing theory, leads to
Cross and build true, false objective speed rarefaction representation joint dictionary so that true, false objective speed signal carries out sparse point under this dictionary
From, can effectively solving RPIP radar speed decoy identification problem.
The technical scheme is that：A kind of speed decoy recognition methodss of random pulses initial phase radar, it is special
Levy and be, comprise the steps：
Known RPIP radar emission set of pulses recurrence interval is TrRPIP signal st, RPIP signal stBy M pulsewidth it is
T, wavelength are λ, carrier frequency is f0Subpulse composition, wherein, the initial phase of m-th subpulse isM=1,2 ...,
M；
Receive echo-signal s using RPIP radar, then following process are carried out to s：
1. walk, and sets up dictionary library { Um}；
The speed that do not obscure of RPIP radar is divided into N part, obtains speed resolution cell Δ v=λ/2NTr, wherein N ＞
The value of M, N determines according to practical situation；Each initial phase correspondingSet up the matrix U of a M × Nm, matrix UmElement
ForWherein, Vq=q Δ v, q=1,2 ..., N, p=1,2 ..., M, c is light
Speed；Define matrix UmForCorresponding dictionary, then dictionary UmSet formed dictionary library { UmIt is known that dictionary library { UmInclude M
Dictionary.
2. the walk, and carries out disturbing delay estimation using based on the interference delay estimation algorithm of minimum entropy；
By echo-signal s successively with dictionary library { UmIn each dictionary UmIt is multiplied, obtain being made up of M N-dimensional row vector
Set { sm, then traversal solves { smIn each row vector smEntropy Hm, obtain the set { H of M entropy compositionm, finally obtain
{HmIn m value corresponding to minimum entropy, make it be expressed as m0, i.e. the interference of DRFM jammer postpones as m0PRI again.
3. walk, and sets up target joint sparse and represents dictionary U；
From dictionary library { UmIn take out U respectively1WithBy U1Referred to as true target sparse represents dictionary,Referred to as speed
Decoy rarefaction representation dictionary, sets up target joint sparse and represents dictionary U,
4. the walk, and true, false objective speed separates；
By solving following convex optimization problem, obtain s and represent the Doppler's frequency under dictionary U represents in target joint sparse
Optimal solution in domainRealize the separation of target：
Object function：
Constraints：||s-(Ua)T||2≤ε
Wherein, ε is error criterion, and it is the positive number of very little；()TThe transposition of representing matrix, | | | |1Represent l1Norm；||
||2Represent l2Norm.Optimal solutionIt is the column vector of 2N × 1, wherein front N row represents the Doppler frequency spectrum of true target；N after wherein
Row represents the Doppler frequency spectrum of decoy.
The invention has the beneficial effects as follows：
(1) present invention disturbs delay to estimate DRFM by proposing the interference delay estimation algorithm of minimum entropy, should
Algorithm can complete to disturb the estimation postponing with high accuracy, improve the ability of decoy identification at short notice.
(2) sparse processing means are incorporated in the identification problem of speed decoy the present invention, by setting up target joint
Rarefaction representation dictionary, so that true, false objective speed signal carries out sparse separation under this dictionary, fully excavates and make use of RPIP
The interference free performance of signal, improves the identification of speed false target jamming profile and the rejection ability of RPIP radar.
Brief description
Fig. 1 DRFM jammer mode of operation；
The random pulses initial phase radar speed decoy recognition methodss flow process based on compressed sensing for the Fig. 2；
The simulating scenes of Fig. 3 emulation experiment set；
The result based on minimum entropy delay estimation algorithm for the Fig. 4；
The recognition result of the present invention under Fig. 5 simulating scenes.
Specific embodiment
The present invention is further described below in conjunction with the accompanying drawings.
Fig. 1 is the DRFM jammer working mode figure being related in the present invention.Speed decoy identification proposed by the present invention
Method is applied to the speed decoy of DRFM jammer generation, and the mechanism that this DRFM jammer produces speed decoy is：
DRFM jammer is operated in transmitting-receiving simultaneously under pattern, first the RPIP signal of RPIP radar emission is intercepted and captured, then to cutting
Obtain the speed decoy characteristic modulation of the complete pair signals of signal modulation additional Doppler frequency, then speed decoy signal is carried out
Forward.Because modulation needs certain process time with repeating process, therefore, speed decoy signal and radar target signal exist
There is certain delay in current PRI.The present invention is based on above-mentioned principle and carries out speed decoy identification.
As shown in figure 1, in figure contains two time pulse sequences altogether, time pulse sequence corresponding expression DRFM above disturbs
Machine receipt signal pulse, the disturbing pulse signal of time pulse sequence corresponding expression DRFM jammer generation below, because of DRFM
Jammer is operated under transmitting-receiving system simultaneously, and therefore two pulse train time shafts align, and one rectangle frame of in figure represents
One pulse signal, the symbol above rectangle frameRepresent the corresponding initial phase of pulse.Assume t0
Moment DRFM jammer starts to intercept and capture one group of RPIP signal, and in m-th PRI, DRFM jammer receipt signal pulse is m-th
Pulse, its initial phase isMeanwhile, DRFM jammer, in order to ensure transmitting-receiving simultaneously, needs in this PRI to previous stage
The pulse intercepted and captured is forwarded, and in figure assumes that interference postpones the PRI for m times, therefore in current m-th PRI, DRFM jammer
The initial phase of disturbing pulse producing isAccordingly, in next PRI, the initial phase of pulse is
Fig. 2 is the flow chart of random pulses initial phase radar speed decoy recognition methodss.As shown in Figure 2, when current
The radar return carved is made up of two parts, the target echo that the RPIP signal of first radar emission is formed after target reflection；
Another part is to intercept and capture modulation by DRFM jammer to forward the speed decoy signal generating.After radar return is received by radar,
Radar is estimated to the delay of interference first with the interference Delay Estimation based on minimum entropy；Subsequently, radar extracts institute
The delay information estimated, and set up target joint sparse and represent dictionary, wherein true target sparse represents that dictionary is and radar emission
Signal is adapted and is set up based on the original phase information of correlative accumulation train of pulse, and speed decoy rarefaction representation word
Allusion quotation is then to be set up using the estimation delay information extracted, such that it is able to preferably matching speed false target jamming profile signal；?
Afterwards, echo-signal is carried out rarefaction representation under joint dictionary, because echo signal only can sparse table under each self-corresponding dictionary
Show, thus realization of goal separates.
Effectiveness to the identification of speed false target jamming profile, has carried out following MATLAB emulation experiment to illustrate the invention.Real
Test middle supposition radar pulse carrier frequency f0=10GHz, its transmission signal pulse initial phase be random two-phase (From both 0, π it
Between equiprobability value) form, M=64, N=128, T=1 μ s, Tr=100 μ s.
Fig. 3 gives the simulating scenes of emulation experiment：Certain RPIP radar radial distance R01There is certain objective speed in place, its speed
Spend for ν1, there is DRFM jammer simultaneously under mode of operation for the transmitting-receiving in=45 Δ v, it is by carrying out to signal intercepting and capturing modulation simultaneously
And forward thus form the detection to true velocity target for the speed false target jamming profile radar of some in radar radial direction,
Might as well assume that the interference signal initial phase that DRFM jammer synthesizes in current PRI postpones in 2 PRI of radar emission signal
(m0=2), and speed decoy quantity exist 4 (be set in 32 Δ v, 67 Δ v, 85 Δ v, 99 Δ v), signal-to-noise ratio settings are
20dB, jamming-to-signal ratio (JSR) is defined as the ratio of speed decoy and true target reflection factor, and its calculating formula is JSR=10lg
(Ai/Ak), and default objects reflection coefficient AkFor 1, each noisy reflection coefficient AkAll equal.
In order to the 2. interference delay estimation calculation based on minimum entropy for the step utilization in technical solution of the present invention second step
Method carries out disturbing delay estimation to carry out more vivid explanation, is entered based on the result figure of minimum entropy delay estimation algorithm using Fig. 4
Row is shown.Fig. 4 abscissa represents m, and vertical coordinate is each corresponding entropy of m value, after trying to achieve the corresponding entropy of each m, asks for
M value corresponding to wherein minimum entropy.Can see and (refer to Fig. 3) under the simulated environment setting of emulation experiment, eventually through
This algorithm is tried to achieve at m=2, and corresponding entropy reaches minimum, then m0=2, this is consistent with emulation setting, represents that algorithm prolongs to interference
Carry out accurate estimation late, the speed decoy rarefaction representation dictionary foundation that this is follow-up is laid a good foundation.
Fig. 5 gives the present invention recognition result to speed decoy under simulating scenes setting.Fig. 5 is by two subgraph groups
Become, subgraph (a) (b) is illustrated respectively in the relative amplitude of the true target recover in Doppler frequency spectrum (abscissa) and speed decoy
(vertical coordinate) and the contrast of the true target setting with emulation and speed decoy, the location tables that the asterisk in subgraph (a) is located
Show the true target that emulation sets, the speed decoy that the positional representation emulation that the multiplication sign in subgraph (b) is located sets.By subgraph
A () can be seen, at the 45th speed unit on Doppler frequency spectrum axle, there is the true target that a relative amplitude is about 0.9,
In subgraph (b), there is speed decoy at the 32nd, 67,85,99 speed unit in Doppler frequency spectrum axle, and recover
True target and speed decoy with emulate default true target and speed decoy kinematic parameter basically identical, this illustrates this
The bright identification that can efficiently accomplish to speed decoy, and its to true target with the secondary lobe substrate bottom of compared with and accurately kinematic parameter
Complete to extract, improve the detection performance of true target.
Claims (1)
1. a kind of speed decoy recognition methodss of random pulses initial phase radar are it is characterised in that comprise the steps：
Known RPIP radar emission set of pulses recurrence interval is TrRPIP signal st, RPIP signal stIt is T, ripple by M pulsewidth
A length of λ, carrier frequency are f0Subpulse composition, wherein, the initial phase of m-th subpulse isM=1,2 ..., M；
RPIP refers to random pulses initial phase；
Receive echo-signal s using RPIP radar, then following process are carried out to s：
1. walk, and sets up dictionary library { Um}：
The speed that do not obscure of RPIP radar is divided into N part, obtains speed resolution cell Δ v=λ/2NTr, wherein N ＞ M, N's
Value determines according to practical situation；Each initial phase correspondingSet up the matrix U of a M × Nm, matrix UmElement beWherein, Vq=q Δ v, q=1,2 ..., N, p=1,2 ..., M, c is the light velocity；
Define matrix UmForCorresponding dictionary, then dictionary UmSet formed dictionary library { UmIt is known that dictionary library { UmInclude M word
Allusion quotation；
2. the walk, and carries out disturbing delay estimation using based on the interference delay estimation algorithm of minimum entropy：
By echo-signal s successively with dictionary library { UmIn each dictionary UmIt is multiplied, obtain the set being made up of M N-dimensional row vector
{sm, then traversal solves { smIn each row vector smEntropy Hm, obtain the set { H of M entropy compositionm, finally obtain { Hm}
M value corresponding to middle minimum entropy, makes it be expressed as m0, i.e. the interference of DRFM jammer postpones as m0Pulse repetition period again；
3. walk, and sets up target joint sparse and represents dictionary U：
From dictionary library { UmIn take out U respectively1WithBy U1Referred to as true target sparse represents dictionary,Referred to as speed vacation mesh
Mark rarefaction representation dictionary, sets up target joint sparse and represents dictionary U,
4. the walk, and true, false objective speed separates：
By solving following convex optimization problem, obtain in the Doppler frequency domain that s represents in target joint sparse under dictionary U represents
Optimal solutionRealize the separation of target：
Object function：
Constraints：||s-(Ua)T||2≤ε
Wherein, ε is error criterion, and it is the positive number of very little；()TThe transposition of representing matrix, | | | |1Represent l1Norm；|| ||2
Represent l2Norm.Optimal solutionIt is the column vector of 2N × 1, wherein front N row represents the Doppler frequency spectrum of true target；N row table after wherein
Show the Doppler frequency spectrum of decoy.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106970360A (en) * | 2017-05-25 | 2017-07-21 | 哈尔滨工业大学 | A kind of pathfinder multiple reflections false echo suppressing method |
| CN109031296A (en) * | 2018-07-26 | 2018-12-18 | 中国人民解放军国防科技大学 | Broadband radar imaging method based on random intermittent sampling linear frequency modulation signals |
| CN109061592A (en) * | 2018-07-30 | 2018-12-21 | 上海微波设备研究所（中国电子科技集团公司第五十研究所） | Compressed sensing based multi-point transmitting millimetre-wave radar direction-finding method |
| CN110068799A (en) * | 2019-04-22 | 2019-07-30 | 电子科技大学 | A kind of sparse centre of neighbourhood holding RCS sequence characteristic extracting method |
| CN110196427A (en) * | 2019-05-29 | 2019-09-03 | 西北工业大学 | A kind of target location algorithm based on apart from orientation dictionary |
| CN110221272A (en) * | 2019-05-09 | 2019-09-10 | 深圳奥比中光科技有限公司 | Time flight depth camera and jamproof distance measurement method |
| CN111505589A (en) * | 2020-04-21 | 2020-08-07 | 湖南赛博诺格电子科技有限公司 | Inter-pulse coherent false target interference method and device and computer equipment |
| CN111812597A (en) * | 2020-07-21 | 2020-10-23 | 西安电子科技大学 | Low-correlation-based space-time two-dimensional random directional diagram interference suppression method |
| RU2735289C1 (en) * | 2020-03-20 | 2020-10-29 | Федеральное государственное казенное военное образовательное учреждение высшего образования "Военная академия войсковой противовоздушной обороны Вооруженных Сил Российской Федерации имени Маршала Советского Союза А.М. Василевского" Министерства обороны Российской Федерации | Method for selection of simulators of secondary radiation of air objects |
| CN116794611A (en) * | 2023-08-28 | 2023-09-22 | 南京航天工业科技有限公司 | Constant interference signal ratio active stealth target interference method and system |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106970360B (en) * | 2017-05-25 | 2019-07-16 | 哈尔滨工业大学 | A kind of pathfinder multiple reflections false echo suppressing method |
| CN106970360A (en) * | 2017-05-25 | 2017-07-21 | 哈尔滨工业大学 | A kind of pathfinder multiple reflections false echo suppressing method |
| CN109031296A (en) * | 2018-07-26 | 2018-12-18 | 中国人民解放军国防科技大学 | Broadband radar imaging method based on random intermittent sampling linear frequency modulation signals |
| CN109061592B (en) * | 2018-07-30 | 2022-10-28 | 上海微波设备研究所（中国电子科技集团公司第五十一研究所） | Multi-point transmitting millimeter wave radar direction finding method based on compressed sensing |
| CN109061592A (en) * | 2018-07-30 | 2018-12-21 | 上海微波设备研究所（中国电子科技集团公司第五十研究所） | Compressed sensing based multi-point transmitting millimetre-wave radar direction-finding method |
| CN110068799A (en) * | 2019-04-22 | 2019-07-30 | 电子科技大学 | A kind of sparse centre of neighbourhood holding RCS sequence characteristic extracting method |
| CN110068799B (en) * | 2019-04-22 | 2022-04-22 | 电子科技大学 | Sparse neighborhood center preserving RCS sequence feature extraction method |
| CN110221272A (en) * | 2019-05-09 | 2019-09-10 | 深圳奥比中光科技有限公司 | Time flight depth camera and jamproof distance measurement method |
| CN110196427A (en) * | 2019-05-29 | 2019-09-03 | 西北工业大学 | A kind of target location algorithm based on apart from orientation dictionary |
| RU2735289C1 (en) * | 2020-03-20 | 2020-10-29 | Федеральное государственное казенное военное образовательное учреждение высшего образования "Военная академия войсковой противовоздушной обороны Вооруженных Сил Российской Федерации имени Маршала Советского Союза А.М. Василевского" Министерства обороны Российской Федерации | Method for selection of simulators of secondary radiation of air objects |
| CN111505589A (en) * | 2020-04-21 | 2020-08-07 | 湖南赛博诺格电子科技有限公司 | Inter-pulse coherent false target interference method and device and computer equipment |
| CN111505589B (en) * | 2020-04-21 | 2022-03-11 | 湖南赛博诺格电子科技有限公司 | Inter-pulse coherent false target interference method and device and computer equipment |
| CN111812597A (en) * | 2020-07-21 | 2020-10-23 | 西安电子科技大学 | Low-correlation-based space-time two-dimensional random directional diagram interference suppression method |
| CN111812597B (en) * | 2020-07-21 | 2022-10-21 | 西安电子科技大学 | Low-correlation-based space-time two-dimensional random directional diagram interference suppression method |
| CN116794611A (en) * | 2023-08-28 | 2023-09-22 | 南京航天工业科技有限公司 | Constant interference signal ratio active stealth target interference method and system |
| CN116794611B (en) * | 2023-08-28 | 2023-11-03 | 南京航天工业科技有限公司 | Constant interference signal ratio active stealth target interference method and system |
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