CN106054142A - Airborne multi-input-multi-output radar main lobe smart interference inhibition method and system - Google Patents

Abstract

The invention discloses an airborne multi-input-multi-output radar main lobe smart interference inhibition method and system. Smart interference is analyzed into a suppressive component and a cheating component, the cheating component of the smart interference is inhibited based on a space projection technology, effective detection of a target is realized in an angle-speed-distance three-dimensional parameter space, and the advantages of an OFDM waveform and an MIMO radar are simultaneously combined, so that the calculation amount of IMMO radar signal processing and the needed training samples are effectively reduced, and a theoretical basis is provided for further research and engineering application of an airborne MIMO radar multi-dimensional signal processing technology.

Description

A kind of airborne MIMO radar main lobe smart munition suppressing method and system

Technical field

The present invention relates to Radar Technology field, press down particularly to a kind of airborne MIMO radar main lobe smart munition Method and system processed.

Background technology

Smart munition is the one of electronic interferences, specifically by a kind of noise jamming of particular form modulation.It is to being done The impact disturbing radar generation rather than simply hides or shields between deception with compacting.

Smart munition technology based on digital RF storage (DRFM) can the most for a long time, more accurately, relatively Intactly enroll and preserve the work at present waveform of radar, needs disturb when, replicate and reproduce the radar waveform of preservation, And according to interference task need change the interference pattern of signal and parameter adaptively, to its in addition various deceptions, hide dry The complex modulated disturbed, implements optimum jamming to radar in the multidimensional information territories such as time, space, frequency, polarization.Particularly, when Smart munition when the main lobe of airborne radar enters, radar by receiving in spatial domain, time domain and frequency domain three territory all high fidelities Intensive decoy signal, and owing to interference signal and echo signal are relevant, each component in interference can obtain Obtain the matched filtering gain of radar receiver, so that the power of target echo signal may be very with the power ratio disturbing signal Little, i.e. target echo is flooded by strong jamming, has a strong impact on the detection of echo signal and the estimation of target component.In this situation Under, jammer and target are positioned at same angle, due to tradition MIMO (multiple-input and multiple-output) radar transmitter frequency and reception frequency It is all this limitation angle dependency, it is difficult to possess efficient system degree of freedom and distinguish echo signal and false target, even if Use advanced STAP (space-time adaptive process) algorithm also cannot solve this problem.

When disturbing signal to enter radar antenna main lobe, the detection performance of radar will be decreased obviously.Common AF panel Method mainly has following 3 kinds: (1) Adaptive beamformer；(2) antenna polarization characteristics；(3) interference cancellation.Although these methods Have and necessarily improve effect, but the problems such as main lobe distortion and useful signal are suppressed can be caused in various degree.Prior art proposes Diagonal angle Loading Method, sample covariance matrix are inverted method and blocking matrix method for pretreating, and these methods solve main lobe distortion Problem, but also create the new problems such as amount of calculation increase, signal to noise ratio reduction, unstable properties simultaneously.Tradition phased-array radar is difficult It is do not have efficient system degree of freedom to distinguish echo signal and false target with the basic reason of smart munition in suppression main lobe.

Summary of the invention

Embodiments provide a kind of airborne MIMO radar main lobe smart munition suppressing method and system, In order to solve problems of the prior art.

A kind of airborne MIMO radar main lobe smart munition suppressing method, it is characterised in that including:

Constructing the subspace of noise signal in send-receive plane, the subspace of this noise signal includes that clutter is believed Number and echo signal, utilize subspace projection technique the noise signal in the subspace of described noise signal and echo signal to be entered Row suppression, it is thus achieved that the signal after suppression；

Utilize distance and the angle parameter of the fraudulence component of second-order statistics estimation smart munition signal, it is thus achieved that distance Estimated value with angle；

Utilize the estimated value of described distance and angle, send-receive plane constructs the fraudulence of smart munition signal First subspace of component；

The first subspace according to described fraudulence component constructs fraudulence in send-receive-time three dimensions and divides Second subspace of amount, and according to the second subspace of described fraudulence component, the signal after described suppression is carried out pretreatment, Obtain pretreated signal；

According to described pretreated signal, utilize the distance of briquettability component of noise signal and smart munition signal not Dependency, estimate covariance matrix；

Beam-former is determined according to the undistorted response criteria of described covariance matrix and minimum variance；

Solve Beam-former, it is thus achieved that solve accordingly.

Preferably, the described clutter letter of structure during step " constructs the subspace of noise signal " in send-receive plane Number subspace be:

${\mathrm{\Π}}_{TR,clu}=\underset{i=1}{\overset{M+N-1}{\mathrm{\Σ}}}\[a_T(0,{\mathrm{\θ}}_i)\⊗a_R\left({\mathrm{\θ}}_i\right)\]{\[a_T(0,{\mathrm{\θ}}_i)\⊗a_R\left({\mathrm{\θ}}_i\right)\]}^H---\left(1\right);$

In formula (1), П_{TR, clu}For the subspace of described noise signal, M is the number of reception antenna, and N is to launch antenna Number, a_T(0, θ_i) for launching steering vector, θ_iFor angle on target, a_R(θ_i) for receiving steering vector；

Echo signal is positioned in the subspace shown in formula (1), hence with after the suppression that subspace projection technique obtains Signal is:

In formula (2),For receiving the projection of fast beat of data, I_MNFor the unit matrix of M × N-dimensional, X is for receiving fast beat of data.

Preferably, step " utilizes the estimated value of described distance and angle parameter, structure dexterity in send-receive plane First subspace of fraudulence component of interference signal " in first subspace of described fraudulence component of structure be:

In formula (3), П_{TR, dec}R () is the first subspace of described fraudulence component, P is the number of false target genera tor,For launching steering vector,For estimating the distance of pth the false target genera tor obtained, r is that target is true Distance,For estimating the angle of pth the false target genera tor obtained, a_R(θ_p) for receiving steering vector, θ_pFor the false mesh of pth The real angle of mark generator.

Preferably, step is " according to the first subspace of described fraudulence component in send-receive-time three dimensions Second subspace of structure fraudulence component, and according to the second subspace of described fraudulence component to the signal after described suppression Carry out pretreatment, it is thus achieved that pretreated signal " in second subspace of described fraudulence component of structure be:

${\mathrm{\Π}}_{dec}\left(r\right)={\mathrm{\Π}}_{TR,dec}\left(r\right)\⊗I_K---\left(4\right);$

In formula (4), П_decR () is the second subspace of described fraudulence component, I_KUnit matrix for K dimension；

Described pretreated signal is:

In formula (5),For the fast beat of data of pretreated reception, I_MNKFor the unit matrix of M × N × K,ForRow to Amount.

Preferably, step " according to described pretreated signal, utilizes noise signal and the briquettability of smart munition signal The distance of component is not dependent, estimate covariance matrix " in estimate that the covariance matrix that obtains is:

$\tilde{R}=\frac{1}{L-1}\underset{l=1,l\≠l_0}{\overset{L}{\mathrm{\Σ}}}{\tilde{x}}_l{\tilde{x}}_l^H---\left(6\right);$

In formula (6),For described covariance matrix, L is the number of range gate, l₀For rang ring to be detected,It is l The pretreated signal of individual range gate.

Preferably, the Wave beam forming that step determines in " determining Beam-former according to the undistorted response criteria of minimum variance " Device is:

In formula (7), w is adaptive weight, and θ is angle on target, and v is target radial speed,After compensated Steering vector, its expression formula is:

In formula (8), g (r) is send-receive two dimension compensation vector, I_NUnit matrix for N-dimensional.

Preferably, the solution that step obtains in " solving Beam-former, it is thus achieved that solve accordingly " is:

$w=\mathrm{\μ}{\tilde{R}}^{-1}\tilde{s}(0,\mathrm{\θ},v)---\left(9\right);$

In formula (10),For compensation vector, its expression formula isμ is normalization factor, its Expression formula is:

The embodiment of the present invention additionally provides a kind of airborne MIMO radar main lobe smart munition suppression system, bag Include:

First subspace constructing module, for constructing the subspace of noise signal, this clutter in send-receive plane The subspace of signal includes noise signal and echo signal, utilizes subspace projection technique by the subspace of described noise signal In noise signal and echo signal suppress, it is thus achieved that the signal after suppression；

Parameter estimation module, for utilize second-order statistics estimate smart munition signal fraudulence component distance and Angle parameter, it is thus achieved that distance and the estimated value of angle；

Second subspace constructing module, for utilizing the estimated value of described distance and angle, structure in send-receive plane Make the first subspace of the fraudulence component of smart munition signal；

3rd subspace constructing module, is used for the first subspace according to described fraudulence component in send-receive-time Three dimensions constructs the second subspace of fraudulence component, and presses down described according to the second subspace of described fraudulence component Signal after system carries out pretreatment, it is thus achieved that pretreated signal；

Covariance estimation module, for utilizing the distance of the briquettability component of noise signal and smart munition signal to be independent of Property, estimate covariance matrix；

Beam-former determines module, for true according to the undistorted response criteria of described covariance matrix and minimum variance Standing wave beamformer；

Beam-former solves module, is used for solving Beam-former, it is thus achieved that solve accordingly.

A kind of airborne MIMO radar main lobe smart munition suppressing method and system in the embodiment of the present invention, by spirit Work in a clever way to disturb and resolve to briquettability component and fraudulence component, use based on space projection technology, smart munition fraudulence component to be entered Row suppression, achieves the effective detection to target in angle-speed-distance three-dimensional parameter space, simultaneously by OFDM waveform and MIMO radar Dominant Facies combines, and effectively reduces the amount of calculation of MIMO radar signal processing and required number of training, and this is machine Research and the engineer applied further that carry MIMO radar multidimensional processiug technology provide theoretical basis.

Accompanying drawing explanation

In order to be illustrated more clearly that inventive embodiments of the present invention or technical scheme of the prior art, below will be to embodiment Or the required accompanying drawing used is briefly described in description of the prior art, it should be apparent that, the accompanying drawing in describing below is only It is some embodiments of inventing of the present invention, for those of ordinary skill in the art, in the premise not paying creative work Under, it is also possible to other accompanying drawing is obtained according to these accompanying drawings.

A kind of airborne MIMO radar main lobe smart munition suppressing method that Fig. 1 provides for the embodiment of the present invention Flow chart of steps；

A kind of airborne MIMO radar main lobe smart munition suppression system that Fig. 2 provides for the embodiment of the present invention Functional block diagram；

Fig. 3 is echo signal in the embodiment of the present invention, decoy, briquettability component and the distribution schematic diagram of noise signal.

Detailed description of the invention

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise Embodiment, broadly falls into the scope of protection of the invention.

With reference to Fig. 1, embodiments provide a kind of airborne MIMO radar main lobe smart munition suppression side Method, the method includes:

Step 100, constructs the subspace of noise signal in send-receive plane, the subspace Zhong Bao of this noise signal Include noise signal and echo signal, utilize subspace projection technique the noise signal in the subspace of noise signal and target to be believed Number suppress, it is thus achieved that the signal after suppression；

Specifically, the subspace of the noise signal of structure is:

${\mathrm{\Π}}_{TR,clu}=\underset{i=1}{\overset{M+N-1}{\mathrm{\Σ}}}\[a_T(0,{\mathrm{\θ}}_i)\⊗a_R\left({\mathrm{\θ}}_i\right)\]{\[a_T(0,{\mathrm{\θ}}_i)\⊗a_R\left({\mathrm{\θ}}_i\right)\]}^H---\left(1\right);$

In formula (1), П_{TR, clu}For the subspace of noise signal, M is reception antenna number, and N is for launching antenna number, a_T (0, θ_i) for launching steering vector, θ_iFor angle on target, a_R(θ_i) for receiving steering vector.

Echo signal is positioned in the subspace shown in formula (1), hence with after the suppression that subspace projection technique obtains Signal is:

In formula (2),For receiving the projection of fast beat of data, I_MNFor the unit matrix of M × N-dimensional, X is for receiving fast beat of data.

Step 101, utilizes distance and the angle parameter of the fraudulence component of second-order statistics estimation smart munition signal, Obtain distance and the estimated value of angle parameter；

Step 102, utilizes the estimated value of distance and angle parameter, constructs smart munition signal in send-receive plane The first subspace of fraudulence component, it is thus achieved that the first subspace of fraudulence component be:

In formula (3), П_{TR, dec}R () is the first subspace of fraudulence component, P is the number of false target genera tor,For launching steering vector,For estimating the distance of pth the false target genera tor obtained, r is that target is true Distance,For estimating the angle of pth the false target genera tor obtained, a_R(θ_p) for receiving steering vector, θ_pFor the false mesh of pth The real angle of mark generator.

It can thus be seen that the subspace shown in formula (3) is apart from relying on.

Step 103, constructs the second subspace of fraudulence component in send-receive-time three dimensions, and according to institute The second subspace stating fraudulence component carries out pretreatment to the signal after described suppression, it is thus achieved that pretreated signal, it is achieved Adjust the distance the suppression of fraudulence component relied on；

Specifically, the second subspace of the fraudulence component of structure is:

${\mathrm{\Π}}_{dec}\left(r\right)={\mathrm{\Π}}_{TR,dec}\left(r\right)\⊗I_K---\left(4\right);$

In formula (4), П_decR () is the second subspace of fraudulence component, I_KUnit matrix for K dimension.

Pretreated signal is:

In formula (5),For the fast beat of data of pretreated reception, I_MNKFor the unit matrix of M × N × K,ForRow to Amount.

Step 104, according to pretreated signal, utilizes the briquettability component of noise signal and smart munition signal Apart from not dependent, estimate covariance matrix, it may be assumed that

$\tilde{R}=\frac{1}{L-1}\underset{l=1,l\≠l_0}{\overset{L}{\mathrm{\Σ}}}{\tilde{x}}_l{\tilde{x}}_l^H---\left(6\right);$

In formula (6),For covariance matrix, L is the number of range gate, l₀For rang ring to be detected,Be l away from Pretreated signal from door.

Step 105, determines Beam-former according to minimum variance undistorted response (MVDR) criterion；

Specifically, it is determined that Beam-former be expressed as:

In formula (7), w is adaptive weight, and θ is angle on target, and v is target radial speed,After compensated Steering vector, its expression formula is:

In formula (8), g (r) is send-receive two dimension compensation vector, I_NUnit matrix for N-dimensional.

In formula (9), s (r, θ, v) be compensated after steering vector,For launching steering vector, a_R(θ) for connecing Receiving steering vector, b (v) is time domain steering vector.

Step 106, solves Beam-former, it is thus achieved that solve accordingly；

Specifically, the solution of Beam-former is:

$w=\mathrm{\μ}{\tilde{R}}^{-1}\tilde{s}(0,\mathrm{\θ},v)---\left(10\right);$

In formula (10),For compensation vector, its expression formula isμ is normalization factor, its Expression formula is:

Based on same inventive concept, embodiments provide a kind of airborne MIMO radar main lobe dexterity and do Disturb suppression system, as in figure 2 it is shown, owing to this system solves principle and the airborne MIMO radar of one of technical problem Main lobe smart munition suppressing method is similar, and therefore the enforcement of this system can refer to the enforcement of method, repeats no more in place of repetition.

First subspace constructing module 200, for constructing the subspace of noise signal in send-receive plane, this is miscellaneous The subspace of ripple signal includes noise signal and echo signal, utilizes subspace projection technique by empty for the son of described noise signal Noise signal and echo signal between suppress, it is thus achieved that the signal after suppression；

Parameter estimation module 201, for utilize second-order statistics estimate smart munition signal fraudulence component away from Walk-off angle degree parameter, it is thus achieved that distance and the estimated value of angle；

Second subspace constructing module 202, for utilizing the estimated value of described distance and angle, in send-receive plane First subspace of the fraudulence component of upper structure smart munition signal；

3rd subspace constructing module 203, for according to the first subspace of described fraudulence component send-receive- Time three dimensions constructs the second subspace of fraudulence component, and according to the second subspace of described fraudulence component to institute State the signal after suppression and carry out pretreatment, it is thus achieved that pretreated signal；

Covariance estimation module 204, for utilizing the distance of the briquettability component of noise signal and smart munition signal not Dependency, estimate covariance matrix；

Beam-former determines module 205, for determining wave beam shape according to minimum variance undistorted response (MVDR) criterion Grow up to be a useful person；

Beam-former solves module 206, is used for solving Beam-former, it is thus achieved that solve accordingly.

With reference to Fig. 3, after the method and system of the present invention processes, echo signal 300, noise signal 301 and smart munition The fraudulence component of signal is respectively as follows: in the frequency of emission space

Wherein,For the emission space frequency of echo signal, d_TFor launching array element distance, λ₀For operation wavelength, For the emission space frequency of noise signal,For the emission space frequency of the fraudulence component of smart munition signal, Δ f is Step frequency, c is the light velocity, r_pFor the distance of pth false target genera tor, r is the distance of target.

From formula (12), (13) and (14) it can be seen that the echo signal 300 after compensated and the transmitting of clutter 301 correspondence Spatial frequency is no longer that distance relies on, and the distribution of the briquettability component 3 02 of smart munition signal is unaffected, and smart munition The steering vector of launching that the fraudulence component of signal is corresponding remains what distance relied on.Utilize this characteristic, OFDM (orthogonal frequency division multiplexing With)-MIMO radar just can distance dimension on realize distinguishing echo signal 300 and clutter from numerous decoys 303 301.In figure, f_T、f_RAnd f_DIt is respectively tranmitting frequency, receives frequency and Doppler frequency.

Fig. 3 a gives echo signal 300, noise signal 301, briquettability component in send-receive-time three dimensions 302 and the distribution schematic diagram of decoy 303.Identical antenna, i.e. M=N, d is used with receiving where it is assumed that launch_T=d_R.Pressure Property component processed is being launched and is being all Gauss distribution in time two-dimensional space, only has dependence of angle in reception dimension, and false Target 303 is different from echo signal 300, can be resolved out in three dimensions.From Fig. 3 b, echo signal 300 and noise signal 301 fall on same plane, and decoy 303 does not falls within echo signal 300 and noise signal 301 In the plane at place, this is to rely on owing to the emission space frequency of compensated rear decoy 303 remains distance, and target letter Numbers 300 and the emission space frequency of noise signal 301 be no longer that distance relies on.From Fig. 3 c, same decoy produces All decoys 303 that device (FTG) 304 produces are respectively provided with identical transmitting and receive frequency, and, in send-receive plane Upper decoy 303 is not to angular distribution, and echo signal 300 and noise signal 301 are to angular distribution.In a word, pass through Angle, Doppler and range information are combined in the send-receive-time three dimensions of OFDM-MIMO radar, echo signal 300 just can be detected, and noise signal 301 and interference will be effectively suppressed, and this is that tradition MIMO radar is at STAP Reason cannot realize.

Should be appreciated that module that one of the above airborne MIMO radar main lobe smart munition suppression system includes is only According to the logical partitioning that carries out of function that realizes of this system, in actual application, the superposition of above-mentioned module can be carried out or tear open Point.And the function that a kind of airborne MIMO radar main lobe smart munition suppression system that this embodiment provides is realized The one airborne MIMO radar main lobe smart munition suppressing method one_to_one corresponding provided with above-described embodiment, for this The more detailed handling process that system is realized, is described in detail in said method embodiment one, the most detailed Describe.

Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or computer program Product.Therefore, the reality in terms of the present invention can use complete hardware embodiment, complete software implementation or combine software and hardware Execute the form of example.And, the present invention can use at one or more computers wherein including computer usable program code The upper computer program product implemented of usable storage medium (including but not limited to disk memory, CD-ROM, optical memory etc.) The form of product.

The present invention is with reference to method, equipment (system) and the flow process of computer program according to embodiments of the present invention Figure and/or block diagram describe.It should be understood that can the most first-class by computer program instructions flowchart and/or block diagram Flow process in journey and/or square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided Instruction arrives the processor of general purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce A raw machine so that the instruction performed by the processor of computer or other programmable data processing device is produced for real The device of the function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame now.

These computer program instructions may be alternatively stored in and computer or other programmable data processing device can be guided with spy Determine in the computer-readable memory that mode works so that the instruction being stored in this computer-readable memory produces and includes referring to Make the manufacture of device, this command device realize at one flow process of flow chart or multiple flow process and/or one square frame of block diagram or The function specified in multiple square frames.

These computer program instructions also can be loaded in computer or other programmable data processing device so that at meter Perform sequence of operations step on calculation machine or other programmable devices to produce computer implemented process, thus at computer or The instruction performed on other programmable devices provides for realizing at one flow process of flow chart or multiple flow process and/or block diagram one The step of the function specified in individual square frame or multiple square frame.

Although preferred embodiments of the present invention have been described, but those skilled in the art once know basic wound The property made concept, then can make other change and amendment to these embodiments.So, claims are intended to be construed to include Preferred embodiment and fall into all changes and the amendment of the scope of the invention.

Obviously, those skilled in the art can carry out various change and the modification essence without deviating from the present invention to the present invention God and scope.So, if these amendments of the present invention and modification belong to the scope of the claims in the present invention and equivalent technologies thereof Within, then the present invention is also intended to comprise these change and modification.

Claims (8)

1. an airborne MIMO radar main lobe smart munition suppressing method, it is characterised in that including:

Send-receive plane constructs the subspace of noise signal, the subspace of this noise signal include noise signal and Echo signal, utilizes subspace projection technique the noise signal in the subspace of described noise signal and echo signal to be pressed down System, it is thus achieved that the signal after suppression；

Utilize distance and the angle parameter of the fraudulence component of second-order statistics estimation smart munition signal, it is thus achieved that away from walk-off angle The estimated value of degree parameter；

Utilize the estimated value of described distance and angle parameter, send-receive plane constructs the fraudulence of smart munition signal First subspace of component；

The first subspace according to described fraudulence component constructs fraudulence component in send-receive-time three dimensions Second subspace, and according to the second subspace of described fraudulence component, the signal after described suppression is carried out pretreatment, it is thus achieved that Pretreated signal；

According to described pretreated signal, the distance of the briquettability component of noise signal and smart munition signal is utilized to be independent of Property, estimate covariance matrix；

Beam-former is determined according to the undistorted response criteria of described covariance matrix and minimum variance；

Solve Beam-former, it is thus achieved that solve accordingly.

2. the method for claim 1, it is characterised in that step " constructs the son of noise signal in send-receive plane Space " in the subspace of described noise signal of structure be:

${\mathrm{\Π}}_{TR,clu}=\underset{i=1}{\overset{M+N-1}{\mathrm{\Σ}}}\[a_T(0,{\mathrm{\θ}}_i)\⊗a_R\left({\mathrm{\θ}}_i\right)\]{\[a_T(0,{\mathrm{\θ}}_i)\⊗a_R\left({\mathrm{\θ}}_i\right)\]}^H---\left(1\right);$

In formula (1), Π_{TR, clu}For the subspace of described noise signal, M is the number of reception antenna, and N is the number launching antenna, a_T(0, θ_i) for launching steering vector, θ_iFor angle on target, a_R(θ_i) for receiving steering vector；

Echo signal is positioned in the subspace shown in formula (1), hence with the signal after the suppression that subspace projection technique obtains For:

In formula (2),For receiving the projection of fast beat of data, I_MNFor the unit matrix of M × N-dimensional, X is for receiving fast beat of data.

3. the method for claim 1, it is characterised in that step " utilize the estimated value of described distance and angle parameter, Construct first subspace of fraudulence component of smart munition signal in send-receive plane " in the described fraudulence of structure divide First subspace of amount is:

In formula (3), Π_{TR, dec}R () is the first subspace of described fraudulence component, P is the number of false target genera tor,For launching steering vector,For estimating the distance of pth false target genera tor obtained, r be target truly away from From,For estimating the angle of pth the false target genera tor obtained, a_R(θ_p) for receiving steering vector, θ_pFor pth decoy The real angle of generator.

4. method as claimed in claim 3, it is characterised in that step " exists according to the first subspace of described fraudulence component Send-receive-time three dimensions constructs the second subspace of fraudulence component, and according to the second of described fraudulence component Subspace carries out pretreatment to the signal after described suppression, it is thus achieved that pretreated signal " the middle described fraudulence component constructed The second subspace be:

${\mathrm{\Π}}_{dec}\left(r\right)={\mathrm{\Π}}_{TR,dec}\left(r\right)\⊗I_K---\left(4\right);$

In formula (4), Π_decR () is the second subspace of described fraudulence component, I_KUnit matrix for K dimension；

Described pretreated signal is:

In formula (5),For the fast beat of data of pretreated reception, I_MNKFor the unit matrix of M × N × K,ForColumn vector.

5. method as claimed in claim 4, it is characterised in that step " according to described pretreated signal, utilizes clutter to believe Number and the distance of briquettability component of smart munition signal not dependent, estimate covariance matrix " in estimate the covariance that obtains Matrix is:

$\tilde{R}=\frac{1}{L-1}\underset{l=1,l\≠l_0}{\overset{L}{\mathrm{\Σ}}}{\tilde{x}}_l{\tilde{x}}_l^H---\left(6\right);$

In formula (6),For described covariance matrix, L is the number of range gate, l₀For rang ring to be detected,Be l away from Pretreated signal from door.

6. method as claimed in claim 5, it is characterised in that step " determines ripple according to the undistorted response criteria of minimum variance Beamformer " in the Beam-former that determines be:

In formula (7), w is adaptive weight, and θ is angle on target, and v is target radial speed,For the guiding after compensated Vector, its expression formula is:

In formula (8), g (r) is send-receive two dimension compensation vector, I_NUnit matrix for N-dimensional.

7. method as claimed in claim 6, it is characterised in that step obtains in " solving Beam-former, it is thus achieved that solve accordingly " Solution be:

$w=\mathrm{\μ}{\tilde{R}}^{-1}\tilde{s}(0,\mathrm{\θ},v)---\left(9\right);$

In formula (10),For compensation vector, its expression formula isμ is normalization factor, its expression formula For:

8. an airborne MIMO radar main lobe smart munition suppression system, it is characterised in that including:

First subspace constructing module, for constructing the subspace of noise signal in send-receive plane, this noise signal Subspace includes noise signal and echo signal, utilizes miscellaneous by the subspace of described noise signal of subspace projection technique Ripple signal and echo signal suppress, it is thus achieved that the signal after suppression；

Parameter estimation module, for utilizing distance and the angle of the fraudulence component of second-order statistics estimation smart munition signal Parameter, it is thus achieved that distance and the estimated value of angle；

Second subspace constructing module, for utilizing the estimated value of described distance and angle parameter, structure in send-receive plane Make the first subspace of the fraudulence component of smart munition signal；

3rd subspace constructing module, three-dimensional in send-receive-time for the first subspace according to described fraudulence component Space constructs the second subspace of fraudulence component, and according to the second subspace of described fraudulence component to described suppression after Signal carry out pretreatment, it is thus achieved that pretreated signal；

Covariance estimation module, not dependent for the distance utilizing the briquettability component of noise signal and smart munition signal, Estimate covariance matrix；

Beam-former determines module, for determining ripple according to the undistorted response criteria of described covariance matrix and minimum variance Beamformer；

Beam-former solves module, is used for solving Beam-former, it is thus achieved that solve accordingly.