CN105515632A - Anti-interference method and device for array antennas - Google Patents

Abstract

The invention provides an anti-interference method and device for array antennas. The method comprises following steps: N sets of digital complex signals which are processed with digital quadrature interpolation and are corresponding to N radio frequency channels are received, wherein the N is an integer larger than 1; a cross correlation coefficient matrix corresponding to the N sets of digital complex signals is generated; a constraint steering vector consistent to a preset self-adapted selection condition is calculated on the basis of the cross correlation coefficient matrix; an anti-interference weight value is determined in combination with a preset optimal criterion on the basis of the constraint steering vector. By use of the provided anti-interference method and device for array antennas, the problem in the prior art of weakened anti-interference effects of the array antennas at some angles is solved.

Description

Array antenna anti-disturbance method and device

Technical field

The application relates to array signal process technique field, particularly a kind of array antenna anti-disturbance method and device.

Background technology

Wireless communication technology plays an increasingly important role in modern communication field, but because wireless signal is extremely faint, easily be subject to various natural or artificial interference and cannot use, therefore, needing to introduce interference mitigation technology to improve the antijamming capability of wireless communication system.In view of when disturbing identical with useful signal frequency, time domain and solution in frequency domain technology are while to AF panel, also useful signal can be suppressed, so can come to difference according to the space of interference and useful signal, in spatial domain, interference is suppressed, ensure that useful signal normally receives, therefore array antenna Anti-Jamming Technique is widely used.

Any array antenna self-adaptive processing algorithm, filter weights is all calculated based on certain optiaml ciriterion, and conventional optiaml ciriterion comprises maximize SINR criterion, minimum mean square error criterion and minimal noise variance criterion.Usually owing to cannot be separated satellite-signal, interference and noise, maximize SINR criterion is not too applicable in practice, and with the most use is minimal noise variance criterion.

The Power-inversion algorithm mentioned in document " research of satellite navigation adaptive nulling antenna Anti-interference algorithm " is exactly the Anti-interference algorithm based on minimal noise variance criterion (also referred to as linearly constrained minimum variance), obtains a wide range of applications because not needing the relevant information knowing useful signal and interference signal just effectively can suppress interference.Although for different antenna formation in usual Power-inversion algorithm, reference array element choose difference, such as, for even linear array, the array element on the most limit of some choosings is reference array element, have choose between array element be reference array element; To uniform circular array, general fixed-circumference certain array element upper is reference array element.Choosing of reference array element is reacted on constraint steering vector, show as the position difference of in constraint steering vector s 1, but no matter choosing which array element is reference array element, current method is all reference array element is fixing.But in actual application, the situation that this reference array element is fixed can cause part to disturb the problem weakened to anti-jamming effectiveness.

Above it should be noted that, just conveniently to the technical scheme of the application, clear, complete explanation is carried out to the introduction of technical background, and facilitate the understanding of those skilled in the art to set forth.Only can not think that technique scheme is conventionally known to one of skill in the art because these schemes have carried out setting forth in the background technology part of the application.

Summary of the invention

The object of the embodiment of the present application is to provide a kind of array antenna anti-disturbance method and device, the problem that the Partial angle anti-jamming effectiveness existed to solve current array antenna Anti-Jamming Technique weakens.

A kind of array antenna anti-disturbance method that the embodiment of the present application provides and device are achieved in that

A kind of array antenna anti-disturbance method, comprising:

Receive N group digital complex signal, described N be greater than 1 integer;

Generate the cross correlation matrix number corresponding with described N group digital complex signal;

Utilize described cross correlation matrix number, calculating and the self adaptation preset choose the constraint steering vector that condition conforms to;

On the basis of described constraint steering vector, according to the optiaml ciriterion preset, determine anti-interference weights.

The jamproof device of a kind of array antenna, described device comprises passage cross-correlation coefficient computing unit, and reference array element self adaptation chooses unit and Hangzhoupro interference weight calculation unit, wherein,

Described cross-correlation coefficient computing unit for receiving N group digital complex signal, described N be greater than 1 integer and generate the cross correlation matrix number corresponding with described N group digital complex signal;

Described reference array element self adaptation chooses unit for utilizing described cross correlation matrix number, and calculating and the self adaptation preset choose the constraint steering vector that condition conforms to;

Described Hangzhoupro interference weight calculation unit, for the basis at described constraint steering vector, in conjunction with the optiaml ciriterion preset, determines anti-interference weights.

A kind of array antenna anti-disturbance method that the embodiment of the present application provides and device, carry out self adaptation by the N group digital complex signal corresponding to N number of radio-frequency channel and choose calculating, the problem that the Partial angle anti-jamming effectiveness that can solve the existence of current array antenna Anti-Jamming Technique weakens; Whole process of the present invention can be integrated in FPGA and realize, and is conducive to the Miniaturization Design of device; The inventive method is applicable to the array antenna anti-interference equipment in the fields such as navigation, communication, radar, sonar, has stronger practicality.

With reference to explanation hereinafter and accompanying drawing, disclose in detail the particular implementation of the application, the principle specifying the application can adopted mode.Should be appreciated that, thus the execution mode of the application is not restricted in scope.In the spirit of claims and the scope of clause, the execution mode of the application comprises many changes, amendment and is equal to.

The feature described for a kind of execution mode and/or illustrate can use in one or more other execution mode in same or similar mode, combined with the feature in other execution mode, or substitutes the feature in other execution mode.

Should emphasize, term " comprises/comprises " existence referring to feature, one integral piece, step or assembly when using herein, but does not get rid of the existence or additional of one or more further feature, one integral piece, step or assembly.

Accompanying drawing explanation

Included accompanying drawing is used to provide the further understanding to the embodiment of the present application, which constitutes a part for specification, for illustrating the execution mode of the application, and comes together to explain the principle of the application with text description.Apparently, the accompanying drawing in the following describes is only some embodiments of the application, for those of ordinary skill in the art, under the prerequisite not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.In the accompanying drawings:

A kind of array antenna anti-disturbance method flow chart that Fig. 1 provides for the embodiment of the present application;

The functional block diagram of the jamproof device of a kind of array antenna that Fig. 2 provides for the embodiment of the present application.

Embodiment

Technical scheme in the application is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present application, technical scheme in the embodiment of the present application is clearly and completely described, obviously, described embodiment is only some embodiments of the present application, instead of whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not making other embodiments all obtained under creative work prerequisite, all should belong to the scope of the application's protection.

A kind of array antenna anti-disturbance method flow chart that Fig. 1 provides for the embodiment of the present application.Although hereafter describe flow process to comprise the multiple operations occurred with particular order, but should have a clear understanding of, these processes can comprise more or less operation, and these operations can sequentially perform or executed in parallel (such as using parallel processor or multi-thread environment).As shown in Figure 1, described method can comprise:

S1: receive N group digital complex signal, described N be greater than 1 integer.

In the embodiment of the present application, array antenna received to array signal can be input in digital quadrature interpolating unit by N number of radio-frequency channel, after digital quadrature interpolation processing, just can generate N group digital complex signal, this N group digital complex signal and described N number of radio-frequency channel one_to_one corresponding.In the embodiment of the present application, described N group digital complex signal can be received, wait until subsequent treatment.

S2: generate the cross correlation matrix number corresponding with described N group digital complex signal.

After have received described N group digital complex signal, the embodiment of the present application can generate the cross correlation matrix number corresponding with described N group digital complex signal further.Particularly, step S2 can be realized by following sub-step:

S21: calculate each group digital complex signal and other each cross-correlation coefficient organized between digital complex signal in described N group digital complex signal.

Because each radio-frequency channel all correspond to set of number complex signal, the embodiment of the present application can calculate the cross-correlation coefficient between digital complex signal corresponding to different radio frequency passage, shown in formula specific as follows:

${\mathrm{\ρ}}_{mn}=\frac{E\[x_m^{*}{x}_n\]}{\sqrt{P_m{P}_n}}$

P _m＝E[|x _m| ²]

P _n＝E[|x _n| ²]

Wherein, m is not equal to n, x _mrepresent the digital complex signal that m radio-frequency channel is corresponding, x _nrepresent the digital complex signal that the n-th radio-frequency channel is corresponding, P _mrepresent the signal power of the digital complex signal that m radio-frequency channel is corresponding, P _nrepresent the signal power of the digital complex signal that the n-th radio-frequency channel is corresponding, ρ _mnrepresent the cross-correlation coefficient between digital complex signal corresponding to the digital complex signal that m radio-frequency channel is corresponding and the n-th radio-frequency channel.

S22: utilize the cross-correlation coefficient that in described N group digital complex signal, each group digital complex signal is corresponding to form the cross correlation matrix number corresponding with described N group digital complex signal.

After calculating the cross-correlation coefficient that often group digital complex signal is corresponding, the cross-correlation coefficient that these can be utilized to calculate forms the cross correlation matrix number corresponding with described N group digital complex signal.Particularly, the cross-correlation coefficient of radio-frequency channel 1 correspondence can be [ρ ₁₂, ρ ₁₃..., ρ _1N] ^t, the cross-correlation coefficient of radio-frequency channel 2 correspondence can be [ρ ₂₁, ρ ₂₃..., ρ _2N] ^t, by that analogy, so these cross-correlation coefficients being formed cross correlation matrix number can be then:

$\left[\begin{array}{cccc}{\mathrm{\ρ}}_{12}& {\mathrm{\ρ}}_{21}& \mathrm{...}& {\mathrm{\ρ}}_{N1}\\ {\mathrm{\ρ}}_{13}& {\mathrm{\ρ}}_{23}& \mathrm{...}& {\mathrm{\ρ}}_{N2}\\ .& .& & .\\ .& .& \mathrm{...}& .\\ .& .& & .\\ {\mathrm{\ρ}}_{1N}& {\mathrm{\ρ}}_{2N}& \mathrm{...}& {\mathrm{\ρ}}_{N(N-1)}\end{array}\right]$

Like this, the cross correlation matrix number corresponding with described N group digital complex signal can just be generated.

S3: utilize described cross correlation matrix number, calculating and the self adaptation preset choose the constraint steering vector that condition conforms to.

In the embodiment of the present application, after calculating described cross correlation matrix number, just can utilize described cross correlation matrix number, calculating and the self adaptation preset choose the constraint steering vector that condition conforms to.The described self adaptation preset chooses condition can as the constraint criterion of constraint steering vector.Such as, in the embodiment of the present application, this self adaptation preset chooses condition can be maximum for average cross correlation coefficient.That is, be the such constraints of maximum according to average cross correlation coefficient, corresponding constraint steering vector can be calculated.Particularly, describedly utilize described cross correlation matrix number, calculate and to choose the constraint steering vector that condition conforms to default self adaptation and specifically comprise:

S31: the mean value calculating the cross-correlation coefficient that each group digital complex signal is corresponding in described N group digital complex signal.

From step S2, often group digital complex signal or each radio-frequency channel all correspond to a series of cross-correlation coefficient, and the self adaptation according to presetting chooses condition, needs to calculate cross-correlation coefficient mean value corresponding to each radio-frequency channel.Particularly, the mean value of the cross-correlation coefficient that each group digital complex signal is corresponding in described N group digital complex signal can be calculated according to the following equation:

${\mathrm{\ρ}}_m=\frac{\underset{k=1,k\≠m}{\overset{N}{\Σ}}\left|{\mathrm{\ρ}}_{mk}\right|}{N-1}$

Wherein, ρ _mrepresent the mean value of the cross-correlation coefficient that m group digital complex signal is corresponding, ρ _mkrepresent the cross-correlation coefficient that m group digital complex signal is corresponding.

Like this, each radio-frequency channel or often organize digital complex signal and all may correspond to the mean value of a cross-correlation coefficient.

S32: the mark determining the radio-frequency channel that the mean value of described cross-correlation coefficient is maximum.

In the N number of cross-correlation coefficient mean value calculated, the maximum of mean value can be determined, just can determine the radio-frequency channel that the mean value of described cross-correlation coefficient is maximum so simultaneously.In the embodiment of the present application, a mark can be distributed for the radio-frequency channel determined, to wait until follow-up generation constraint steering vector.Particularly, the mark of the radio-frequency channel determined described in can be distributed according to the order of this radio-frequency channel in N number of radio-frequency channel.Such as, cross-correlation coefficient mean value corresponding to the kth radio-frequency channel in N number of radio-frequency channel is maximum, so just can be this radio-frequency channel allocation identification k.

S33: according to the mark of the described radio-frequency channel determined, generates constraint steering vector.

According to the mark of the described radio-frequency channel determined, such as, k in step S32, so just can generate constraint steering vector.Particularly, the N dimensional vector that an intrinsic value is all 0 can be pre-set, be designated k due to the maximum radio-frequency channel of cross-correlation coefficient mean value, so just, a kth value in this N dimensional vector can be corrected as 1, so described constraint steering vector just can be s=[0 ... 1 ..., 0] ^t, wherein the position of 1 is kth.

S4: on the basis of described constraint steering vector, in conjunction with the optiaml ciriterion preset, determines anti-interference weights.

In the embodiment of the present application, according to the constraint steering vector generated, and the optiaml ciriterion preset can be combined, anti-interference weights are determined.These anti-interference weights can be weighted process by pair array aerial signal, thus the problem that the Partial angle anti-jamming effectiveness solving the existence of current array antenna Anti-Jamming Technique weakens.Particularly, described default optiaml ciriterion can be such as linearly constrained minimum variance.Described linearly constrained minimum variance can be understood as under certain constraints, makes the signal power of the output complex signal after utilizing anti-interference weights weighting process minimum, thus can reach the object suppressing interference.In the embodiment of the present application, in conjunction with the optiaml ciriterion preset, on the basis of described constraint steering vector, anti-interference weights can be determined according to the following equation:

$\left\{\begin{array}{c}\underset{W}{\min }{P}_{out}=E\left\{\right|y\left(n\right){|}^2\}\\ W^{H}s=1\end{array}\right.$

Wherein, s is described constraint steering vector, and W is anti-interference weights, and y (n) representative utilizes the output complex signal after anti-interference weights weighting process, P _outrepresent the signal power of described output complex signal.

Can obtain by carrying out derivation to above formula:

$W=\frac{R_X^{-1}s}{s^H{R}_X^{-1}s}$

Wherein for covariance matrix R _xinverse matrix.

Like this, cross-correlation coefficient calculating is carried out by the digital complex signal corresponding to each radio-frequency channel, and calculate constraint steering vector according to the cross-correlation coefficient calculated, thus anti-interference weights can be determined according to described constraint steering vector, thus the problem that the Partial angle anti-jamming effectiveness that can solve the existence of current array antenna Anti-Jamming Technique weakens.

The embodiment of the present application also provides a kind of array antenna jamproof device.The functional block diagram of a kind of array antenna means for anti-jamming that Fig. 2 provides for the embodiment of the present application.As shown in Figure 2, described array antenna means for anti-jamming comprises passage cross-correlation coefficient computing unit 100, and reference array element self adaptation chooses unit 200 and Hangzhoupro interference weight calculation unit 300, wherein,

Described cross-correlation coefficient computing unit 100 for receiving N group digital complex signal corresponding to the N number of radio-frequency channel after digital quadrature interpolation processing, described N be greater than 1 integer and generate the cross correlation matrix number corresponding with described N group digital complex signal;

Described reference array element self adaptation chooses unit 200 for utilizing described cross correlation matrix number, and calculating and the self adaptation preset choose the constraint steering vector that condition conforms to;

Described Hangzhoupro interference weight calculation unit 300, for the basis at described constraint steering vector, in conjunction with the optiaml ciriterion preset, determines anti-interference weights.

In the application one preferred embodiment, described default self adaptation chooses condition, and to comprise average cross correlation coefficient be maximum;

Correspondingly, described reference array element self adaptation is chosen unit 200 and is specifically comprised:

Mean value calculation module, for calculating the mean value of the cross-correlation coefficient that each group digital complex signal is corresponding in described N group digital complex signal;

Mark determination module, for determining the mark of the radio-frequency channel that the mean value of described cross-correlation coefficient is maximum;

Constraint steering vector generation module, for the mark according to the described radio-frequency channel determined, generates constraint steering vector.

In the application one preferred embodiment, described mean value calculation module calculates the mean value of the cross-correlation coefficient that each group digital complex signal is corresponding in described N group digital complex signal according to the following equation:

${\mathrm{\ρ}}_m=\frac{\underset{k=1,k\≠m}{\overset{N}{\Σ}}\left|{\mathrm{\ρ}}_{mk}\right|}{N-1}$

Wherein, ρ _mrepresent the mean value of the cross-correlation coefficient that m group digital complex signal is corresponding, ρ _mkrepresent the cross-correlation coefficient that m group digital complex signal is corresponding.

In the application one preferred embodiment, described default optiaml ciriterion comprises linearly constrained minimum variance;

Correspondingly, described Hangzhoupro interference weight calculation unit 300 combines the optiaml ciriterion preset, and on the basis of described constraint steering vector, can determine anti-interference weights according to the following equation:

$\left\{\begin{array}{c}\underset{W}{min}{P}_{out}=E\left\{\right|y\left(n\right){|}^2\}\\ W^{H}s=1\end{array}\right.$

Wherein, s is described constraint steering vector, and W is anti-interference weights, and y (n) representative utilizes the output complex signal after anti-interference weights weighting process, P _outrepresent the signal power of described output complex signal.

In above-mentioned array antenna means for anti-jamming the specific implementation of each functional module and computing formula all identical with step S1 to S4, just repeat no more here.

A kind of array antenna anti-disturbance method that the embodiment of the present application provides and device, carry out self adaptation by the N group digital complex signal corresponding to N number of radio-frequency channel and choose calculating, the problem that the Partial angle anti-jamming effectiveness that can solve the existence of current array antenna Anti-Jamming Technique weakens; Whole process of the present invention can be integrated in FPGA and realize, and is conducive to the Miniaturization Design of device; The inventive method is applicable to the array antenna anti-interference equipment in the fields such as navigation, communication, radar, sonar, has stronger practicality.

With the object described, those skilled in the art are supplied to the description of the various execution modes of the application above.It is not intended to is exhaustive or is not intended to the present invention to be limited to single disclosed execution mode.As mentioned above, the various alternative and change of the application will be apparent for above-mentioned technology one of ordinary skill in the art.Therefore, although specifically discuss the execution mode of some alternatives, other execution mode will be apparent, or those skilled in the art relatively easily draw.The application is intended to be included in that of the present invention all that this had discussed substitute, amendment and change, and drops on other execution mode in the spirit and scope of above-mentioned application.

Each embodiment in this specification all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for system embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.

Although depict the application by embodiment, those of ordinary skill in the art know, the application has many distortion and change and do not depart from the spirit of the application, and the claim appended by wishing comprises these distortion and change and do not depart from the spirit of the application.

Claims (12)

1. an array antenna anti-disturbance method, is characterized in that, comprising:

Receive N group digital complex signal, described N be greater than 1 integer;

Generate the cross correlation matrix number corresponding with described N group digital complex signal;

Utilize described cross correlation matrix number, calculating and the self adaptation preset choose the constraint steering vector that condition conforms to;

On the basis of described constraint steering vector, according to the constrained optimum criterion preset, determine anti-interference weights.

2. a kind of array antenna anti-disturbance method as claimed in claim 1, is characterized in that, described N group digital complex signal is N group digital complex signal corresponding with N number of radio-frequency channel after digital quadrature interpolation processing.

3. a kind of array antenna anti-disturbance method as claimed in claim 1, is characterized in that, the described generation cross correlation matrix number corresponding with described N group digital complex signal specifically comprises:

Calculate each group digital complex signal and other each cross-correlation coefficient organized between digital complex signal in described N group digital complex signal;

The cross-correlation coefficient that in described N group digital complex signal, each group digital complex signal is corresponding is utilized to form the cross correlation matrix number corresponding with described N group digital complex signal.

4. a kind of array antenna anti-disturbance method as claimed in claim 3, is characterized in that, calculates each group digital complex signal and other each cross-correlation coefficient organized between digital complex signal in described N group digital complex signal according to the following equation:

${\mathrm{\ρ}}_{mn}=\frac{E\[x_m^{*}{x}_n\]}{\sqrt{P_m{P}_n}}$

$P_m=E\[|x_m{|}^2\]$

$P_n=E\[|x_n{|}^2\]$

Wherein, m is not equal to n, x _mrepresent the digital complex signal that m radio-frequency channel is corresponding, x _nrepresent the digital complex signal that the n-th radio-frequency channel is corresponding, P _mrepresent the signal power of the digital complex signal that m radio-frequency channel is corresponding, P _nrepresent the signal power of the digital complex signal that the n-th radio-frequency channel is corresponding, ρ _mnrepresent the cross-correlation coefficient between digital complex signal corresponding to the digital complex signal that m radio-frequency channel is corresponding and the n-th radio-frequency channel.

5. a kind of array antenna anti-disturbance method as claimed in claim 1, is characterized in that, described default self adaptation chooses condition, and to comprise average cross correlation coefficient be maximum;

Correspondingly, describedly utilize described cross correlation matrix number, calculate and to choose the constraint steering vector that condition conforms to default self adaptation and specifically comprise:

Calculate the mean value of the cross-correlation coefficient that each group digital complex signal is corresponding in described N group digital complex signal;

Determine the mark of the radio-frequency channel that the mean value of described cross-correlation coefficient is maximum;

According to the mark of the described radio-frequency channel determined, generate constraint steering vector.

6. a kind of array antenna anti-disturbance method as claimed in claim 5, is characterized in that, calculates the mean value of the cross-correlation coefficient that each group digital complex signal is corresponding in described N group digital complex signal according to the following equation:

${\mathrm{\ρ}}_m=\frac{\underset{k=1,k\≠m}{\overset{N}{\Σ}}\left|{\mathrm{\ρ}}_{mk}\right|}{N-1}$

Wherein, ρ _mrepresent the mean value of the cross-correlation coefficient that m group digital complex signal is corresponding, ρ _mkrepresent the cross-correlation coefficient that m group digital complex signal is corresponding.

7. a kind of array antenna anti-disturbance method as claimed in claim 1, is characterized in that, described default optiaml ciriterion comprises linearly constrained minimum variance;

Correspondingly, according to the optiaml ciriterion preset, on the basis of described constraint steering vector, anti-interference weights can be determined according to the following equation:

$\left\{\begin{array}{c}\underset{W}{\min }{P}_{out}=E\left\{{\left|y\left(n\right)\right|}^2\right\}\\ W^{H}s=1\end{array}\right.$

Wherein, s is described constraint steering vector, and W is anti-interference weights, and y (n) representative utilizes the output complex signal after anti-interference weights weighting process, P _outrepresent the signal power of described output complex signal.

8. the jamproof device of array antenna, is characterized in that, described device comprises passage cross-correlation coefficient computing unit, and reference array element self adaptation chooses unit and Hangzhoupro interference weight calculation unit, wherein,

Described cross-correlation coefficient computing unit for receiving N group digital complex signal, described N be greater than 1 integer and generate the cross correlation matrix number corresponding with described N group digital complex signal;

Described reference array element self adaptation chooses unit for utilizing described cross correlation matrix number, and calculating and the self adaptation preset choose the constraint steering vector that condition conforms to;

Described Hangzhoupro interference weight calculation unit, for the basis at described constraint steering vector, according to the optiaml ciriterion preset, determines anti-interference weights.

9. the jamproof device of a kind of array antenna according to claim 8, is characterized in that, described N group digital complex signal is N group digital complex signal corresponding with N number of radio-frequency channel after digital quadrature interpolation processing.

10. the jamproof device of a kind of array antenna as claimed in claim 8, is characterized in that, described default self adaptation chooses condition, and to comprise average cross correlation coefficient be maximum;

Correspondingly, described reference array element self adaptation is chosen unit and is specifically comprised:

Mean value calculation module, for calculating the mean value of the cross-correlation coefficient that each group digital complex signal is corresponding in described N group digital complex signal;

Mark determination module, for determining the mark of the radio-frequency channel that the mean value of described cross-correlation coefficient is maximum;

Constraint steering vector generation module, for the mark according to the described radio-frequency channel determined, generates constraint steering vector.

The jamproof device of 11. a kind of array antenna as claimed in claim 10, is characterized in that, described mean value calculation module calculates the mean value of the cross-correlation coefficient that each group digital complex signal is corresponding in described N group digital complex signal according to the following equation:

${\mathrm{\ρ}}_m=\frac{\underset{k=1,k\≠m}{\overset{N}{\Σ}}\left|{\mathrm{\ρ}}_{mk}\right|}{N-1}$

Wherein, ρ _mrepresent the mean value of the cross-correlation coefficient that m group digital complex signal is corresponding, ρ _mkrepresent the cross-correlation coefficient that m group digital complex signal is corresponding.

The jamproof device of 12. a kind of array antenna as claimed in claim 8, it is characterized in that, described default optiaml ciriterion comprises linearly constrained minimum variance;

Correspondingly, according to the optiaml ciriterion preset, on the basis of described constraint steering vector, anti-interference weights can be determined according to the following equation:

$\left\{\begin{array}{c}\underset{W}{\min }{P}_{out}=E\left\{{\left|y\left(n\right)\right|}^2\right\}\\ W^{H}s=1\end{array}\right.$

Wherein, s is described constraint steering vector, and W is anti-interference weights, and y (n) representative utilizes the output complex signal after anti-interference weights weighting process, P _outrepresent the signal power of described output complex signal.