CN109633587A - A kind of self-adapting regulation method of radar network signal bandwidth - Google Patents

A kind of self-adapting regulation method of radar network signal bandwidth Download PDF

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CN109633587A
CN109633587A CN201811578166.6A CN201811578166A CN109633587A CN 109633587 A CN109633587 A CN 109633587A CN 201811578166 A CN201811578166 A CN 201811578166A CN 109633587 A CN109633587 A CN 109633587A
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radar
target
imaging
follows
bandwidth
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CN109633587B (en
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廖可非
牛耀
欧阳缮
黎爱琼
冯伟业
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Guilin University of Electronic Technology
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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
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
    • G01S13/904—SAR modes
    • G01S13/9064—Inverse SAR [ISAR]
    • 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
    • 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
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
    • G01S13/9021—SAR image post-processing techniques
    • G01S13/9029—SAR image post-processing techniques specially adapted for moving target detection within a single SAR image or within multiple SAR images taken at the same time
    • 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
    • G01S7/28—Details of pulse systems

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

Abstract

The invention discloses a kind of self-adapting regulation method of radar network signal bandwidth, include the following steps: that (one) initializes system parameter；(2) a small amount of pulse of every radar emission carries out target component estimation；(3) target size is estimated according to echo information；(4) distance is carried out to merge to information；(5) radar signal original bandwidth allocation is carried out；(6) respectively transmitted bandwidth is B' to i-th radar in radar networki,jRadar signal and respectively receive target j echo-signal；(7) two dimension ISAR is imaged, and is imaged respectively using echo data of the sparse aperture ISAR imaging algorithm based on CS to every radar, i-th radar is denoted as P to target j imagingi,j；(8) portion M radar comprehensive evaluation index is calculated；(9) networking joint imaging quality evaluation index is judged；(10) increase every radar bandwidth, again joint imaging.The radar frequency spectrum resource that the present invention uses under the conditions of radar network is to optimal imaging effect is less.

Description

A kind of self-adapting regulation method of radar network signal bandwidth
Technical field
The present invention relates to the bandwidth optimization technical field of radar network collaboration imaging more particularly to a kind of radar network signals The self-adapting regulation method of bandwidth.
Background technique
Radar network composite utilizes system space diversity on airspace, frequency diversity on frequency domain, polarity diversity on polarizing field, time domain Upper message complementary sense, the advantage of information fusion on information field, breaks through single radar and detects to noncooperative target, identification, tracking and at As existing limitation.With the development and extensive use of networking technology, limited radar resource how is effectively utilized, One of the significant challenge faced as Radar Network System.
Cognitive control technology is combined with radar network composite, Radar Network System Intellisense external environment can be assigned, Reasoning With Learning and the ability for making effective decision-making judgement, make radar system successfully manage the environment of external complex.
Currently, most of research about cognition radar system research both for target detection and tracing task, i.e., According to receiver to the feedback information of transmitter, under the qualifications such as energy, time width, bandwidth, establish with target detection and with The related performance criteria function of track simultaneously optimizes it, to improve target detection and tracking performance.Seldom part research considers To the demand of the multi-target imaging task of radar.
Document [the bandwidth MIMO radar based on signal bandwidth dynamic adjustment recognizes Waveform Design] is in view of list portion radar is more The demand of the task of target imaging proposes a kind of MIMO radar design method of signal bandwidth dynamic adjustment.The choosing of this method bandwidth The standard taken is the lowest-bandwidth for finding out one-dimensional range profile according to Rayleigh criterion and aliasing being not present.
Document [the MIMO radar ISAR imaging based on waveform optimization design] in order to maximize the working efficiency of transmitter, if Having counted one kind has constant modulus property transmitted waveform for imaging task.This method extrapolates target direction imaging by target size Required range resolution, can be simultaneously to multiple target imagings.But it for radar network three-dimensional imaging, at least needs Three radars are imaged simultaneously, and three unrestricted variables not can guarantee model for the cognition radar system of multi-target imaging task Optimal solution.And the prior art is unfolded to study both for single portion's radar greatly, there is no consider that there are three and three or more thunders Up to the mission requirements of joint imaging.Therefore, research is unfolded in the bandwidth optimization for radar network collaboration imaging, so that radar network The radar frequency spectrum resource how to use under the conditions of reaching optimal imaging effect is less, and effective use radar network resource has weight Want meaning.
Summary of the invention
In view of the deficiencies of the prior art, technical problem solved by the invention is how radar network is reaching optimal imaging The radar frequency spectrum resource used under the conditions of effect is less.
In order to solve the above technical problems, the technical solution adopted by the present invention is that a kind of radar network signal bandwidth it is adaptive Method of adjustment carries out three-dimensional information fusion to target, according to target on the basis of every radar carries out feature awareness to target Each radar fusion distance to size, initialize radar emission signal bandwidth, radar target is imaged, then root Each radar emission signal bandwidth is adaptively adjusted according to networking joint imaging quality evaluation index, is included the following steps:
(1) system parameter is initialized, including following particular content: M is total for the radar that target is imaged, the light velocity, It is denoted as c, i-th radar signal bandwidth used to j-th of target coarse resolution imaging is denoted as Bi,j, i-th radar is to j-th of mesh Integration time is imaged in target, is denoted as Tci,j, i-th radar be denoted as the Range Profile resolution ratio of j-th of target imaging The pulse recurrence frequency of i-th radar system, is denoted as PRFi, the pulsewidth of the transmitting signal of i-th radar system is denoted as Tpi；
(2) a small amount of pulse of every radar emission carries out target component estimation, and detailed process is as follows:
Respectively transmitted signal bandwidth is B to the portion M radar in radar networki,jA small amount of pulse, and respectively receive target return Wave signal.It is handled using conventional radar conventional algorithm, obtains i-th radar and j-th of target distance Ri,j, j-th of mesh Mark the speed V of opposite i-th radari,j, the angle theta of i-th radar and j-th of target flight directioni,j。
(3) target size is estimated according to echo information, detailed process is as follows:
Every radar return data are handled using inverse synthetic aperture radar imaging algorithm, obtain i-th radar pair The primary image of j-th of target, is denoted asWherein f is fast moment time,For slow moment time；To primary image according to public affairs Formula (1) is normalized, and is denoted as
Due to the angle theta of every radar and target flight directioni,jDifference, according to formulaλ is in formula Wavelength is it is found that corresponding azimuth resolution is also different；J-th of mesh can be determined according to the linear relationship of frequency and target range The distance in i-th radar is marked on to size, is denoted as Dyi,j, orientation size of j-th of target in i-th radar be denoted as Dxi,j, it is calculated according to formula (2) as follows:
Wherein fbigi,j、fsmalli,jIt indicatesIn maximum frequency and minimum frequency on fast time orientation；It indicatesIn maximum frequency and minimum frequency on slow time orientation.
(4) it carries out distance to merge to information, detailed process is as follows:
Determine that objective fastens in coordinates of targets the size of each dimension using projection method of thinking, if x, y, z are complete Three latitude coordinates axis of office's coordinate system, x ', y ', z ' is three latitude coordinates axis of target-based coordinate system, i-th radar bearing to Angle between j-th of target, three dimensions, is denoted as I-th distance by radar to j-th of target Angle Θ between three dimensionsx′i,j、Θy′i,j、Θz′i,j, estimation size of j-th of target on x ' axis are as follows:
Similarly, estimation size of j-th of target on y ', z ' axis is respectively as follows:
Under the premise of knowing target three-dimensional dimension information, the target three-dimensional dimension is calculated in every portion using the method for projection Size on radar line of sight direction and the formed plane of orientation, i.e. j-th of target i-th distance by radar to fusion ruler It is very little, it is denoted as Iyi,j；
Iyi,j=Dx′,j·|cosΘx′i,j|+Dy′,j·|cosΘy′i,j|+Dz′,j·|cosΘz′i,j| (5)。
(5) radar signal original bandwidth allocation is carried out, detailed process is as follows:
Distance is being obtained to fusion size Iyi,jOn the basis of, if for reference distance to size objectives (Dy_ref) imaging institute The reference distance needed is ρ as resolution ratioref, it is that principle selects initial resolution with formula (6)；
Then i-th radar emits the initial bandwidth of signal to j-th of target radar are as follows:
(6) respectively transmitted bandwidth is B' to i-th radar in radar networki,jRadar signal and receive target j respectively Echo-signal；
(7) two dimension ISAR is imaged, using the sparse aperture ISAR imaging algorithm based on CS to the echo data of every radar It is imaged respectively, i-th radar is denoted as P to target j imagingi,j；
(8) portion M radar comprehensive evaluation index is calculated, detailed process is as follows:
To i-th radar imaging Pi,jComentropy is found out according to formula (8), is denoted as Hi,j, definition are as follows:
In formula, pi,jIt (q) be gray level is image P shared by the pixel of qi,jThe ratio of total pixel, is calculated by formula (9) It obtains:
Wherein q range is [0,1 ..., L-1], and L is image Pi,jGray level maximum value, num (q) are the pixels that gray level is q The number of point, sum are respective image pixel total number；
Different radars are found out to the impact factor of comprehensive evaluation index according to formula (10):
According to the difference of impact factor, radar network joint imaging quality evaluation index of the n-th to j-th of target are as follows:
The corresponding comentropy of coarse resolution imaging of i-th radar to j-th of target is calculated as H according to formula (8)i ',j, initial radar network joint imaging quality evaluation index is set are as follows:
(9) detailed process is as follows is judged to networking joint imaging quality evaluation index:
A threshold value Δ H is set, is calculatedIf Δ Hj> Δ H, then algorithm proceeds in next step, If Δ Hj≤ Δ H, then radar network joint imaging effect reaches most preferably, and algorithm terminates.
(10) increase every radar bandwidth, again joint imaging, detailed process is as follows:
It sets the portion M radar and increases total bandwidth as Δ B0, i-th radar to j-th of target carry out that increased bandwidth is imaged are as follows:
Update i-th radar emission signal bandwidth Bn i,j=Bn-1 i,j+ΔBi,j, every radar emits radar signal again, And radar return data are obtained, return to step (7).
Compared with prior art, the radar frequency spectrum resource that the present invention uses under the conditions of radar network is to optimal imaging effect Less.
Detailed description of the invention
Fig. 1 is flow chart of the present invention；
Fig. 2 is target scattering point model figure；
Fig. 3 is target of the present invention and radar geometrical relationship figure；
Fig. 4 is that target information of the present invention projects convergence analysis figure；
Fig. 5 (a) is that radar network number is Ra1Be ultimately imaged result figure；
Fig. 5 (b) is that radar network number is Ra2Be ultimately imaged result figure；
Fig. 5 (c) is that radar network number is Ra3Be ultimately imaged result figure.
Specific embodiment
A specific embodiment of the invention is further described with reference to the accompanying drawing, but is not to limit of the invention It is fixed.
Fig. 1 shows a kind of self-adapting regulation method of radar network signal bandwidth, carries out in every radar to target special Sign cognition on the basis of, to target carry out three-dimensional information fusion, according to target each radar fusion distance to size, Radar emission signal bandwidth is initialized, radar target is imaged, further according to networking joint imaging quality evaluation index to each Radar emission signal bandwidth adaptively adjusts, and includes the following steps:
(1) system parameter is initialized, including following particular content: the radar sum that the target of such as Fig. 2 is imaged is 3, it is denoted as Rai(i=1,2,3), i-th radar signal bandwidth B used to the imaging of 1 coarse resolution of targeti,j=100MHz, i-th Imaging integration time T of portion's radar to target 1ci,j=1us, the Range Profile resolution ratio that target 1 is imaged in 3 radars, is denoted asLight velocity c=3.0108M/s, the pulse recurrence frequency PRF of i-th radar systemi=1000Hz, i= 1,2,3, the pulsewidth T of i-th radar system transmitting signalpi=1us, i=1,2,3.
(2) a small amount of pulse of every radar emission carries out target component estimation, and detailed process is as follows:
Respectively transmitted signal bandwidth is B to 3 radars in radar networki,jThe a small amount of pulse of=100MHz, and mesh is received respectively The echo-signal of mark 1.It is handled using conventional radar conventional algorithm, obtains 1 speed V of targeti,j=300m/s, i-th radar To the distance R of target 1i,j, the angle theta of i-th radar and 1 heading of targeti,j,
It is as shown in table 1 below to calculate clearing:
1 target 1 of table recognizes result
Radar Ra1 Radar Ra2 Radar Ra3
Distance Ri,j(km) 10 12 14
Course angle thetai,j(°) 90 130 170
(3) target size is estimated according to echo information, detailed process is as follows:
By using inverse synthesis in document [the phased-array radar resource-adaptive Research of Scheduling Method based on cognition imaging] Aperture radar imaging algorithm handles every radar return data, obtains i-th radar to the primary image of target 1, is denoted asWherein f is fast moment time,For slow moment time.Primary image is normalized according to formula (1), It is denoted as
Due to the angle theta of every radar and target flight directioni,jDifference, according to formula(λ is wave It is long) it is found that corresponding azimuth resolution is also different.J-th of mesh can be determined according to the linear relationship of frequency and target range The distance in i-th radar is marked on to size, is denoted as Dyi,j, orientation size of j-th of target in i-th radar, be denoted as DXi, j, it is calculated according to formula (2) as follows:
Wherein fbigi,j、fsmalli,jIt indicatesIn maximum frequency and minimum frequency on fast time orientation；It indicatesIn maximum frequency and minimum frequency on slow time orientation.3 radars are to mesh The size of 1 estimation of mark is as shown in table 2:
2 target 1 of table estimates size
(4) it carries out distance to merge to information, detailed process is as follows:
Determine that objective fastens in coordinates of targets the size of each dimension using projection method of thinking, refering to what is shown in Fig. 3, X, y, z are three latitude coordinates axis of global coordinate system, x ', y ', and z ' is three latitude coordinates axis of target-based coordinate system, i-th Radar bearing is denoted as to the angle between three dimensions of jth targetI-th distance by radar Xiang Yu Angle Θ between three dimensions of j targetx′i,j、Θy′i,j、Θz′i,j, estimation size of j-th of target on x ' axis are as follows:
Similarly, estimation size of j-th of target on y ', z ' axis is respectively as follows:
Under the premise of knowing target three-dimensional dimension information, as shown in figure 4, calculating target three-dimensional using the method for projection Size is formed by the size in plane in every radar line of sight direction and orientation, i.e. j-th of target is in i-th distance by radar To fusion size, be denoted as Iyi,j。
Iyi,j=Dx′,j·|cosΘx′i,j|+Dy′,j·|cosΘy′i,j|+Dz′,j·|cosΘz′i,j| (5)
Distance is as shown in table 3 to dimension information after every radar merges target 1:
The distance of 3 target 1 of table to fusion size
(5) radar signal original bandwidth allocation is carried out, detailed process is as follows:
Distance is being obtained to fusion size Iyi,jOn the basis of, if for reference distance to size objectives (Dy_ref=20m) Reference distance needed for imaging is ρ as resolution ratioref=0.5m is that principle selects initial resolution with formula (6).
Then 3 radar bearings emit the initial bandwidth of signal to j-th of target radar are as follows:
3 radar bearings are to as shown in table 4 to the 1 initial bandwidth of radar emission signal of target:
43 radar original bandwidth allocation results of table
(6) respectively transmitted bandwidth is B' to i-th radar in radar networki,jRadar signal and receive target j respectively Echo-signal；
(7) two dimension ISAR is imaged, using document [the phased-array radar resource-adaptive dispatching method based on cognition imaging Research] in the sparse aperture ISAR imaging algorithm of base CS the echo data of every radar is imaged respectively, i-th radar pair Target j imaging, is denoted as Pi,j；
(8) portion M radar comprehensive evaluation index is calculated, detailed process is as follows:
To i-th radar to target j imaging Pi,jComentropy is found out according to formula (8), is denoted as Hi,j, definition are as follows:
In formula, pi,jIt (q) be gray level is image P shared by the pixel of qi,jThe ratio of total pixel, is calculated by formula (9) It obtains:
Wherein q range is [0,1 ..., L-1], and L is image Pi,jGray level maximum value, num (q) are the pixels that gray level is q The number of point, sum are respective image pixel total number.
Different radars are found out to the impact factor of comprehensive evaluation index according to formula (10):
According to the difference of impact factor, radar network joint imaging quality evaluation index of the n-th to j-th of target are as follows:
The corresponding comentropy of coarse resolution imaging of i-th radar to j-th of target, is calculated as according to formula (8) H'i,j, initial radar network joint imaging quality evaluation index is set are as follows:
(9) detailed process is as follows is judged to networking joint imaging quality evaluation index:
A threshold value Δ H=0.01 is set, is calculatedIf Δ Hj> Δ H, then under algorithm proceeds to One step, if Δ Hj≤ Δ H, then radar network joint imaging effect reaches most preferably, and algorithm terminates.
(10) increase every radar bandwidth, again joint imaging, detailed process is as follows:
It sets 3 radars and increases total bandwidth as Δ B0=50MHz, i-th radar be imaged to j-th of target increased Bandwidth are as follows:
According to fusion distance to dimension information, Ra1, Ra2, Ra3Increasing bandwidth is respectively 14.9MHz, 16.6MHz, 18.6MHz, updating i-th radar emission signal bandwidth is Bn i,j=Bn-1 i,j+ΔBi,j, every radar emits radar again to be believed Number, and radar return data are obtained, return to step (7).
Be continuously increased every radar emission signal bandwidth, it is best to reach image quality, be ultimately imaged effect as shown in figure 5, Emulation obtains bandwidth and increases and association evaluation indexVariation is as shown in table 5:
5 target of table, 1 association evaluation index
After initial bandwidth selection, on the basis of being initially at width, it is continuously increased bandwidth, increases Δ B every time0.Using The imaging method mentioned in step 2 carries out ISAR imaging.With being continuously increased for bandwidth, target constantly mentioned at the entropy of ISAR picture It is high and tend to be steady, Δ B0Bigger, the speed that the entropy of image tends to be steady is faster.Be finally reached image quality requirement, complete at As task.
After the 5th increase bandwidth, three radar total bandwidth 1209MHz, association evaluation index is 0.7153.Networking thunder Every radar is all using based on the two-dimentional ISAR for obtaining target with compressed sensing based sparse aperture ISAR imaging algorithm in reaching Picture carries out the three-dimensional fusion imaging of next step on the basis of three radar two-dimensional imagings.
Compared with prior art, the radar frequency spectrum resource that the present invention uses under the conditions of radar network is to optimal imaging effect Less.
Detailed description is made that embodiments of the present invention in conjunction with attached drawing above, but the present invention be not limited to it is described Embodiment.To those skilled in the art, without departing from the principles and spirit of the present invention, to these implementations Mode carries out various change, modification, replacement and variant are still fallen in protection scope of the present invention.

Claims (9)

1. a kind of self-adapting regulation method of radar network signal bandwidth, which is characterized in that carried out in every radar to target special Sign cognition on the basis of, to target carry out three-dimensional information fusion, according to target each radar fusion distance to size, Radar emission signal bandwidth is initialized, radar target is imaged, further according to networking joint imaging quality evaluation index to each Radar emission signal bandwidth adaptively adjusts, and includes the following steps:
(1) system parameter is initialized；
(2) a small amount of pulse of every radar emission carries out target component estimation；
(3) target size is estimated according to echo information；
(4) distance is carried out to merge to information；
(5) radar signal original bandwidth allocation is carried out；
(6) respectively transmitted bandwidth is B' to i-th radar in radar networki,jRadar signal and respectively receive target j echo Signal；
(7) two dimension ISAR is imaged, and is distinguished using echo data of the sparse aperture ISAR imaging algorithm based on CS to every radar It is imaged, i-th radar is denoted as P to target j imagingi,j；
(8) portion M radar comprehensive evaluation index is calculated；
(9) networking joint imaging quality evaluation index is judged；
(10) increase every radar bandwidth, again joint imaging.
2. the self-adapting regulation method of radar network signal bandwidth according to claim 1, which is characterized in that step (1) Including following particular content: M is the radar sum that target is imaged, and the light velocity is denoted as c, and i-th radar is to j-th of target Coarse resolution imaging signal bandwidth used, is denoted as Bi,j, i-th radar be denoted as the imaging integration time of j-th of target Tci,j, i-th radar be denoted as the Range Profile resolution ratio of j-th of target imagingThe pulse of i-th radar system Repetition rate is denoted as PRFi, the pulsewidth of the transmitting signal of i-th radar system is denoted as Tpi。
3. the self-adapting regulation method of radar network signal bandwidth according to claim 1 or 2, which is characterized in that step (2) detailed process is as follows: respectively transmitted signal bandwidth is B to the portion the M radar in radar networki,jA small amount of pulse, and connect respectively Receive the echo-signal of target；It is handled using conventional radar conventional algorithm, obtains i-th radar at a distance from j-th of target Ri,j, speed V of j-th of target with respect to i-th radari,j, the angle theta of i-th radar and j-th of target flight directioni,j。
4. the self-adapting regulation method of radar network signal bandwidth according to claim 1 or 2, which is characterized in that step (3) detailed process is as follows: being handled using inverse synthetic aperture radar imaging algorithm every radar return data, obtains i-th Portion's radar is denoted as the primary image of j-th of targetWherein f is fast moment time,For slow moment time；To first As being normalized according to formula (1), it is denoted as
Due to the angle theta of every radar and target flight directioni,jDifference, according to formulaλ is wavelength in formula It is found that corresponding azimuth resolution is also different；It can determine that j-th of target exists according to the linear relationship of frequency and target range Distance in i-th radar is denoted as D to sizeyi,j, orientation size of j-th of target in i-th radar be denoted as Dxi,j, It is calculated according to formula (2) as follows:
Wherein fbigi,j、fsmalli,jIt indicatesIn maximum frequency and minimum frequency on fast time orientation； It indicatesIn maximum frequency and minimum frequency on slow time orientation.
5. the self-adapting regulation method of radar network signal bandwidth according to claim 1 or 2, which is characterized in that step (4) detailed process is as follows: determine that objective fastens the size of each dimension in coordinates of targets using projection method of thinking, if X, y, z are three latitude coordinates axis of global coordinate system, x ', y ', and z ' is three latitude coordinates axis of target-based coordinate system, i-th Radar bearing is denoted as to the angle between j-th of target, three dimensionsI-th distance by radar to With the angle Θ between j-th of target, three dimensionsx′i,j、Θy′i,j、Θz′i,j, estimation size of j-th of target on x ' axis Are as follows:
Similarly, estimation size of j-th of target on y ', z ' axis is respectively as follows:
Under the premise of knowing target three-dimensional dimension information, the target three-dimensional dimension is calculated in every radar using the method for projection Size on direction of visual lines and the formed plane of orientation, i.e. j-th of target i-th distance by radar to fusion size, note It is Iyi,j；
Iyi,j=Dx′,j·|cosΘx′i,j|+Dy′,j·|cosΘy′i,j|+Dz′,j·|cosΘz′i,j| (5)。
6. the self-adapting regulation method of radar network signal bandwidth according to claim 1 or 2, which is characterized in that step (5) detailed process is as follows:
Distance is being obtained to fusion size Iyi,jOn the basis of, if for reference distance to size objectives (Dy_ref) imaging needed for Reference distance is ρ as resolution ratioref, it is that principle selects initial resolution with formula (6)；
Then i-th radar emits the initial bandwidth of signal to j-th of target radar are as follows:
7. the self-adapting regulation method of radar network signal bandwidth according to claim 1 or 2, which is characterized in that step (8) detailed process is as follows: to i-th radar imaging Pi,jComentropy is found out according to formula (8), is denoted as Hi,j, definition Are as follows:
In formula, pi,jIt (q) be gray level is image P shared by the pixel of qi,jThe ratio of total pixel, is calculated by formula (9) Out:
Wherein q range is [0,1 ..., L-1], and L is image Pi,jGray level maximum value, num (q) are the pixels that gray level is q Number, sum are respective image pixel total number；
Different radars are found out to the impact factor of comprehensive evaluation index according to formula (10):
According to the difference of impact factor, radar network joint imaging quality evaluation index of the n-th to j-th of target are as follows:
The corresponding comentropy of coarse resolution imaging of i-th radar to j-th of target is calculated as H ' according to formula (8)i,jIf Set initial radar network joint imaging quality evaluation index are as follows:
8. the self-adapting regulation method of radar network signal bandwidth according to claim 1 or 2, which is characterized in that step (9) detailed process is as follows: one threshold value Δ H of setting is calculatedIf Δ Hj> Δ H, then algorithm carries out To next step, if Δ Hj≤ Δ H, then radar network joint imaging effect reaches most preferably, and algorithm terminates.
9. the self-adapting regulation method of radar network signal bandwidth according to claim 1 or 2, which is characterized in that step (10) detailed process is as follows: setting the portion M radar and increases total bandwidth as Δ B0, i-th radar carry out imaging increase to j-th of target Bandwidth are as follows:
Update i-th radar emission signal bandwidth Bn i,j=Bn-1 i,j+ΔBi,j, every radar emits radar signal again, and obtains Radar return data return to step (7).
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