CN113030888A - Axial correction method for measurement error of polarized phased array radar - Google Patents
Axial correction method for measurement error of polarized phased array radar Download PDFInfo
- Publication number
- CN113030888A CN113030888A CN202110250053.9A CN202110250053A CN113030888A CN 113030888 A CN113030888 A CN 113030888A CN 202110250053 A CN202110250053 A CN 202110250053A CN 113030888 A CN113030888 A CN 113030888A
- Authority
- CN
- China
- Prior art keywords
- polarization
- antenna
- measurement
- matrix
- error
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- G01S7/40—Means for monitoring or calibrating
-
- 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
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Engineering & Computer Science (AREA)
- Geometry (AREA)
- Electromagnetism (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention relates to the technical field of meteorological radar axial correction, and discloses an axial correction method for a polarized phased array radar measurement error. The invention corrects the polarization measurement error through the non-orthogonality of the radiation electric field in the direction of the polarized phased array antenna wave beam, and is suitable for the phased array radar, so thatZ DRIf the measurement error is less than 0.1dB, the relative error of the antenna directional diagram measurement is less than 1%, and the measurement is fast and accurateThe polarization measurement performance is analyzed, the measurement precision is high, and the polarization phased array radar antenna measurement is of great practical value.
Description
Technical Field
The invention relates to the technical field of meteorological radar axial correction, in particular to an axial correction method for a measurement error of a polarization phased array radar.
Background
At present, meteorological observation usually adopts meteorological radar observation, the meteorological radar has certain range resolution and Doppler resolution, and parameter measurement of a target is respectively carried out in different resolution units. Generally, the echo sampled signals of each range bin are corrected by correlation and the difference reflectivity Z is usedDRAnd linear depolarization ratio LDRAs an index to measure the performance of the polarization error correction method. The polarization measurement error of the general mode is large because the general mode introduces not only a second-order error but also a first-order error of the antenna cross-polarization component.
In antenna measurements, the antennas are usually placed in the xy plane, and it is well known that the radiation pattern of a single antenna is very different from its pattern in a finite array. This is because, in a finite array, when the antenna element is excited, the radiated electromagnetic field is received, reflected and re-radiated by other elements in the array. This electromagnetic interaction between the antenna elements is called Mutual Coupling. In analyzing the array antenna Pattern, an Active Element Pattern (AEP) is generally used. AEP is defined as the antenna pattern when a certain element is excited and all other elements are loaded with matching loads.
First, for a real radar antenna, an electric field is radiatedAndit needs to be obtained by measurement, and the antenna measurement inevitably introduces measurement errors, so the measurement errors of the antenna pattern will have an influence on the correction based on equation (2.41). Secondly, in meteorological observation, the observed objects are all distributed objects, such as rainfall, snowfall, cloud layers and the like, and therefore the received voltage equation should be expressed in an integral form. Then, for a practical array antenna, the mutual coupling between the array elements can have a significant impact on the characteristics of the antenna pattern. Again, the disparity of the H and V channels can also have an effect on the accuracy of the polarization correction. To make ZDRThe measurement error of the antenna directional diagram is less than 0.1dB, the relative error of the antenna directional diagram measurement is less than 1%, and the high measurement precision provides a serious challenge for the measurement of the antenna directional diagram of the polarized phased array radar.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide an axial correction method for the measurement error of the polarized phased array radar.
In order to achieve the purpose, the invention adopts the technical scheme that:
an axial correction method for a polarized phased array radar measurement error comprises the following steps:
firstly, establishing an array model
1) Active cell direction, the active direction of the cell in the mth row and nth column is denoted as
2) Array direction, transmission and reception pattern of the array FT(θ,φ;θS,φS) And FR(θ,φ;θS,φS) Is shown as
3) A receive voltage equation, and in ATSR mode, when only the H port is excited, the electric field radiated by the phased array antennaIs composed of
Horizontal channel receiving voltage dVhhAnd a vertical channel receiving voltage dVvhAnd scattering electric fieldIn a relationship of
Secondly, deriving a receiving voltage equation,
1) axial correction method-ATSR mode, using projection matrix as reference, based on (2.31), the corrected receiving voltage equation is expressed as
WhereinRepresenting the corrected received voltage matrix, CTAnd CRTo correct the matrix, expressed as
2.1 theorem, setting the direction of a real dual-polarized antenna unit as f, the absolute error of the antenna direction measurement as e, and | eij|=|fijIf there is
(f-1+e-1)-1≈e (2.62)
Prove that the matrix inversion theorem is utilized, have
Due to | eij|=|fijI, have
e+f≈f (2.64)
According to theorem 2.1, get δijAnother expression of upper bound estimation
Is provided withAs the relationship with gamma becomes larger (cross polarization becomes larger),and then becomes larger;
(2) calibration performance analysis under ideal H/V channel conditions,
1) in the case of a single spherical raindrop, if the raindrop polarization scattering matrix is a unit matrix, (2.31) is simplified
2) In case of a large amount of spherical raindrops, when the parameter α isij、βijAnd deltaijUnknown, a Monte Carlo simulation-based method is adopted to analyze the polarization measurement performance of the phased array radar;
(3) calibration performance analysis under non-ideal H/V channel conditions
1) The non-ideal H/V channel is modeled,
the non-idealities of the transmit and receive channels are represented by two 2 x 2 matrices, a and B, which are expressed as follows
2) In the case of a single spherical raindrop, the inclusion of H/V channel imperfectionsAndis shown as
In the STSR mode, for a distributed target composed of a large number of raindrops, the received signal is represented as
It sh(t) and sv(t) waveform divided into H and V port transmissions, set Shv(θ,φ)=SvhWhen (θ, Φ)' is 0, (2.114) is
In practice, sh(t) and sv(t) cannot be perfectly orthogonal, so define
Then
Thereby obtaining
When the waveform sh(t) and svWhen (t) is known, Q is a constant matrix, and (2.120) is also equivalent to (2.31).
Due to the adoption of the technical scheme, the invention has the following advantages:
an axial correction method for measurement errors of a polarized phased array radar is characterized in that a complete dual-polarized unit directional diagram, a dual-polarized array transmitting and receiving directional diagram model and a distributed rainfall particle receiving voltage equation are established from a basic array antenna of a meteorological radar. Then, a projection matrix method and an axial correction method are expanded, polarization measurement errors caused by the non-orthogonality of the radiation electric field in the direction of the polarized phased array antenna beam are corrected through the axial correction method, the polarization error correction performance is realized under two modes of ATSR and STSR, and the engineering design is carried out by utilizing the coupling relation among the axial correction errors, the polarization measurement errors, the antenna directional diagram measurement relative errors, the channel amplitude-phase inconsistency and the polarization isolation degree.
The invention simulates and analyzes the polarization measurement performance of the phased array radar, and limits the wave beam width to LDRThe effect of the measurement is significant and on ZDRThe effect of the measurement was not significant. L is the beam width of the phased array, which varies with beam pointingDRThe measurement performance of (c) also varies with beam pointing. The wider the beam, LDRThe poorer the accuracy of the measurement. In contrast, ZDRThe measurement performance of the beam is not obviously changed along with the beam pointing.
The invention is suitable for phased array radar, makes the transmitting directional diagram and the receiving directional diagram reciprocal, corrects the polarization measurement error by the non-orthogonality of the radiation electric field in the direction pointed by the polarized phased array antenna wave beam, and quickly and accurately analyzes the polarization measurement performance, so that Z is enabled to be in a Z shapeDRThe measurement error is less than 0.1dB, the relative error of the antenna directional diagram measurement is less than 1%, the measurement precision is high, and the method has great practical value for the polarized phased array radar antenna measurement.
Drawings
FIG. 1 is a diagram of a spherical coordinate system and a planar array antenna structure;
FIG. 2. epsilonijA real part diagram of (a);
FIG. 3 εijAn imaginary part diagram of (a);
FIG. 4 deltaijA simulation result graph;
FIG. 5 matrix f (θ)S,φS) An infinity norm based condition number versus γ plot;
FIG. 8 is a schematic diagram of a T/R assembly of a polarized phased array radar;
FIG. 9 is a diagram of a non-ideal H/V channel model;
Detailed Description
As shown in fig. 1 to 13, an axial calibration method for polarization phased array radar measurement errors analyzes the polarization measurement performance of the phased array radar, firstly, a complete array model is established, and a receiving voltage equation is derived from the complete array model; a spherical coordinate system and planar array antenna configuration is shown in figure 1,andis a unit vector under a spherical coordinate system. The planar array antenna is located on the yz plane and comprises NrowRow and NcolAnd (4) columns.Representing the electric field radiated by the H-port in the beam axial Direction (Boresight Direction),representing the electric field radiated by the V-port in the beam axis direction. The array scans over-45 to 45 in azimuth and 0 to 30 in pitch. For an array antenna, its directional diagram should be symmetric about phi, which is limited to [0 °,45 ° ]]Theta is in the range of [60 DEG, 90 DEG ]]. The antenna is placed on the yz plane, and the definition of the horizontal and vertical polarization bases and the unit vector in the spherical coordinate systemAndare consistent.
The active cell pattern, in fig. 1, the active pattern of the cell located in the mth row and nth column can be represented as
Wherein f ishh(θ, φ) is the radiated electric field component in the H direction when the H port is excited; f. ofhv(θ, φ) is the radiated electric field component in the H direction when the V port is excited; f. ofvh(θ, φ) is the radiated electric field component in the V direction when the H port is excited; f. ofvv(θ, φ) is the radiated electric field component in the V direction when the V port is excited.
Array directional diagram, namely a transmitting directional diagram and a receiving directional diagram F of the array based on the active unit directional diagramT(θ,φ;θS,φS) And FR(θ,φ;θS,φS) Can be expressed as
Where the subscripts "T" and "R" denote Transmission (Transmission) and Reception (Reception), respectively. Xmn(θS,φS) And Ymn(θS,φS) Respectively, the complex weighting coefficients of the units mn.
Since each dual polarized antenna element has two ports, H and V, strictly speaking, Xmn (θ)S,φS) And Ymn(θS,φS) Should be represented as a 2 x 2 matrix. For example, the transmit pattern weighting coefficient matrix should be expressed as
Where columns 1 and 2 represent the excitation of the H and V ports, respectively. Is provided withThus, it is possible to provideCan be expressed as a scalar coefficient
For receive weighting, the H and V ports are typically weighted separately for optimal measurement performance. Here the same weighting is applied to the H and V beams. Thus also using a scalar coefficientTo represent the weighting of the received beams.
(2.15) and (2.16) give a general form of the array transmit and receive pattern. Since the active cell patterns of the individual cells are not exactly the same, it is inconvenient to analyze the polarization measurement error and correct the problem with (2.15) and (2.16). On the other hand, for a large array, since most cells are in very similar array environments, it is assumed here thatThe active patterns of the cells in a large array are all the same. On the basis of this, the method is suitable for the production,andcan be simplified into
Wherein f (theta; phi) represents the active directional diagram of each cell, AFTAnd AFRIs an array factor expressed as follows
Wherein(as shown in FIG. 1) is the position vector of the unit mn, k 2 π/λ is the wavenumber, λ is the wavelength, and the exponential termThe phase difference of the cell mn and the reference cell with respect to the target point is shown.
Receive voltage equation in ATSR mode, when only the H-port is excited, the phased array antenna radiates the electric fieldIs composed of
Assuming that there is a single raindrop in the beam direction, the polarization scattering matrix is S', when the incident field isThe scattered field of a single raindrop is
Scattered electric fieldThe voltage is generated after being received by the antenna, and according to the antenna theory, the horizontal channel receives the voltage dVhhAnd a vertical channel receiving voltage dVvhAnd scattering electric fieldIn a relationship of
Wherein
(2.24) can be expressed in a matrix form as follows
To simplify the analysis, terms relating to distance and gain are omitted (2.27). It should be noted that S' (θ; φ) includes the effects of attenuation and phase shift during propagation of electromagnetic waves, and the expression is shown below
Where T represents a one-way path transmission matrix describing the attenuation and phase shift in the propagation of the electromagnetic wave. S (θ; Φ) represents a polarization scattering matrix inherent to a single raindrop.
When only the V port is excited, the voltage component dV is receivedhvAnd dVvvCan be expressed as
(2.27) and (2.29) may be combined into
For a large number of raindrops distributed in space, the received voltage V may be expressed as
Where Ω denotes a solid angle, d Ω is sin θ d θ d Φ. It should be noted that equation (2.31) is only a mathematical processing method, and two columns in the matrix V respectively represent voltage components measured at different times. In the following analysis and derivation, the identity matrix in (2.31) will be omitted.
Since the echoes of a large number of raindrops are incoherent, the total received power Pij(i, j ═ h, v) can be represented by
Pij=∫Ω<|dVij|2>dΩ (2.32)
Wherein<·>Representing the ensemble average. Based on (2.32), differential reflectivity ZDRIs defined as
If S'hv=S′vhThe actual measured linear depolarization ratio then represents the error in the linear depolarization ratio, which is 0.
The "Projection Matrix" method is generally used to correct polarization measurement errors caused by the non-orthogonality of the H and V port radiated electric fields. When the dual-polarized antenna unit only radiates electromagnetic waves at the H port, an electric field is radiatedCan be expressed as
When only the V port radiates electromagnetic waves, an electric field is radiatedCan be expressed as
Andare respectively asAndunit vector in direction. Under the H/V polarization base, the electric field radiated by the dual-polarized antenna unit can be expressed as
Wherein the projection matrix P can be expressed as
The physical meaning of the projection matrix P is "to polarize the basisAndthe characterized radiation electric field is transformed into a radiation electric field characterized by H and V polarization radicals. Mathematically, P represents a unit vector that would be two non-orthogonalAndprojected to orthogonal unit vectorsAndthe above. Based on the projection matrix P, the received voltage equation of a single point target can be expressed as
Wherein S is a target polarization scattering matrix, and superscript t represents matrix transposition. To simplify the analysis, the term relating to the distance r and the gain is omitted from equation (2.39).
In the ATSR mode, when the H and V ports alternately transmit the unit signal (amplitude of 1, phase of 0), the reception voltage equation can be expressed as
Thus, the target polarization scattering matrix S can be expressed as
S=Ct·V·C (2.41)
Wherein C ═ P-1Referred to as the projection correction matrix.
As can be seen from (2.41), the projection matrix correction method implies the following assumptions:
electric field radiated by H-port and V-portAndthe accuracy is known; 2. the target is a point target; 3. the radiation characteristics of all the antenna units are completely consistent; the amplitude-phase characteristics of the H and V channels are ideal; 5. the radar transmission and reception patterns are the same, i.e. the radar is reciprocal.
The axial correction method, namely ATSR mode, is based on (2.31) by using a projection matrix method for reference, and the corrected receiving voltage equation is expressed as
WhereinRepresenting the corrected received voltage matrix, CTAnd CRTo correct the matrix, can be expressed as
Andindicating measured array transmit and receive patterns in the beam direction (theta)S,φS) The value of (c) above.
The "projection matrix correction method" can be regarded as a "array element level" correction method, and the correction method shown in (2.42) can be regarded as an "array level" correction method. Strictly speaking, the active patterns of the array elements are different, so the correction method given by (2.42) is more general. Since the correction matrices (2.43) and (2.44) are based only on the information of the array transmission and reception direction axes, the correction method given by (2.42) is called an axial correction method (Boresight correction).
Projection matrix correction methods assume that the correction matrix is precisely known, so in axial correction methods, the correction matrix is defined based on the measured array transmit and receive patterns. In addition, the received electric field in the axial correction method is expressed as an integral of a space domain, which represents the characteristics of a distributed target such as raindrops. In conclusion, (2.42) extends the "projection matrix correction method".
As can be seen from (2.43) and (2.44), the axial correction includes two layers: one is toAndcorrecting for non-orthogonality; the second is to compensate for the non-uniformity of the transmit and receive beam gains. Based on (2.18) and (2.19), CTAnd CRCan be simplified into
Wherein f ism(θS,φS) Representing the measured antenna element pattern.
(1) Linear model
(3.42) can be expressed as
Note that (2.47) is mathematically similar to (2.31), so the corrected received powerCan still be calculated as (2.32) except that FTAnd FRTo be replaced byAndit should be noted that (2.48) and (2.49) are only mathematical processes, and that in practice the correction matrix only acts on the received voltage V.
In the in-depth analysis of (2.47), first, the corrected cross-polarization pattern pair will be discussedAndthe influence of (c). In order to eliminate the influence of the scattering matrix of the target, assuming that S' is a unit matrix, the (2.47) is expanded into a scalar form, and
in the case of (2.50), the,andcontains the second order term of the cross-polarization pattern, andandthe expression (c) contains the first order term of the cross-polarization pattern. Therefore, the temperature of the molten metal is controlled,is insensitive to cross-polarization patterns, andis sensitive to cross-polarization patterns. In the case of the STSR mode,containing the first order term of the cross-polarization pattern. Therefore, the cross-polarization pattern requirements for the ATSR mode are lower than for the STSR mode.
For the purpose of deep analysis of (2.47), the active patterns of the individual antenna elements are assumed to be identical. Based on (2.45) and (2.46),andcan be expressed as
If measured cell pattern fm(θS,φS) Exactly without any error, then f (θ, φ) · fm(θS,φS)-1In the beam direction (theta)S,φS) Above would be an identity matrix. In practice, however, f (θ, φ) f due to the effect of antenna pattern measurement errorsm(θS,φS)-1In the beam direction (theta)S,φS) Not an identity matrix.
Wherein ε ij (θ, φ; θ)S,φS) (i, j ═ h, v) is called the axial correction error, and describes the effect of finite antenna beamwidth on polarization measurement error.2AFTAnd2AFRis a normalized array factor, i.e.Andthrough the actually measured and simulated directional diagram of the dual-polarized microstrip patch antenna unit, the directional diagram of the antenna unit can be approximated to a linear function of theta and phi. To this end epsilonijApproximated as a linear function of theta and phi, as follows
Wherein alpha isij,βijAnd deltaijAre complex parameters. The linear model of the axial correction error is called (2.55), the model describes the variation relation of the correction error of the axial correction method along with the spatial angles theta and phi, and the rationality of the linear model is that the directional diagram of the electrically small-sized dual-polarized antenna unit is emptyThe fact that is a slowly varying function of the angles theta and phi.
The rationality of the linear model shown in (2.55) is verified, and the rationality of (2.55) is demonstrated by using a simulated dual-polarized microstrip patch antenna element pattern. Corrected microstrip patch antenna directional patternIs shown as
Selecting (theta)S,φS) Based on the simulated antenna element pattern, e is calculated (60 °,45 °)ijThe real and imaginary parts are shown in fig. 2 and 3, respectively. As can be seen from FIGS. 2 and 3,. epsilonijThe linear relationship between theta and phi in the neighborhood of (60 degrees, 45 degrees) illustrates the rationality of the linear approximation shown in (2.55), indicating the axial correction error epsilonijIt is indeed a slowly varying function of the spatial angles theta and phi.
To further verify the linear approximation in FIGS. 2 and 3, a Matlab Curve Fitting kit (Current Fitting Toolbox) was used, with θ and φ as parameters, for εijA linear fit was performed and the results are shown in table 2.1. In Table 2.1, R2(R-square) is called Coefficient of Determination (Coefficient of Determination) and is between 0 and 1. It describes how well the model fits to the given data. As can be seen from the table, R2Are all very close to 1, which further verifies the rationality of the linear model (2.55) and also shows that the axial correction error epsilon is approximated by a linear functionijWith high accuracy.
TABLE 2.1 Linear model parameter fitting results
α | β | δ | R2 | |
εhh | 0.4266+0.0558j | -0.8391+0.0069j | -0.0015-0.0001j | 0.97 |
εhv | 0.3152+0.0236j | -0.2178+0.0279j | 0.0003+0.0002j | 0.98 |
εvh | -0.5297+0.0236j | 0.4412-0.0307j | -0.0014+0.0000j | 0.98 |
εvv | 0.4187-0.0198j | -0.6536-0.0823j | -0.0014+0.0001j | 0.96 |
Linear model (2.55) parameter αij,βijAnd deltaijHas profound physical significance. From (2.55), αijAnd betaijRepresents epsilonijThe rate of change in theta and phi. In addition, if the measured cell pattern is completely accurate with no error, then there is εij(θS,φS;θS,φS) 0, i.e. delta ij0. Whereas in practice due to errors in antenna pattern measurements deltaijNot equal to 0. Hence the term δijTo correct the error axially, it characterizes the accuracy of the axial correction. In view of δijOf the measured dual-polarized antenna element pattern fm(θS,φS) Can be expressed as the sum of the true direction diagram and the absolute measurement error, i.e.
Wherein f (theta)S,φS) Representing the true cell pattern, e (θ)S,φS) Representing the absolute error of the antenna pattern measurement. Corrected cell directivity patternCan be expressed as
For the convenience of derivation, in (2.59) (2.81),andare respectively abbreviated asf and fm. Using momentsInverse lemnism of the array to obtain
(fm)-1=(f+e)-1=f-1-f-1(f-1+e-1)-1f-1 (2.59)
It is assumed here that e is invertible. Substitution of (2.59) into (2.58) can give
Where I denotes an identity matrix. Further can obtain
(2.61) indicates. deltaijAs well as the absolute measurement error e and the antenna element pattern f itself. Theorem 2.1 gives the relation between the true antenna element pattern f and the measured absolute error e.
2.1 theorem, setting a real dual-polarized antenna unit directional diagram as f, an antenna directional diagram measurement absolute error as e, and | eij|=|fijIf there is
(f-1+e-1)-1≈e (2.62)
Prove that the matrix inversion theorem is utilized, have
Due to | eij|=|fijI, have
e+f≈f (2.64)
Therefore (2.63) can be approximated as
(e-1+f-1)-1-e≈-e·f-1·e (2.65)
Based on the matrix norm theory, there are
Wherein | · | purple∞Representing the matrix ∞ -norm. Further, (2.66) can be expressed as
(2.67) can be understood as meaning in the matrix ∞ -norm with (e)-1+f-1)-1To approximate the relative error of e. It is noted that
Wherein | f | purple∞·||f-1||∞The condition number based on the ∞ -norm for the matrix f. Definition of κ (f) ═ f | | non-conducting phosphor∞·||f-1||∞Then (2.68) can be expressed as
According to the definition of infinity-norm of matrix, | | e | | ventilation∞Can be expressed as
||e||∞=max{|ehh|+|ehv|,|evh|+|evv|} (2.70)
Since the relative error is more reflective of the measurement accuracy, we define the upper bound of the relative error of the antenna element pattern measurement
Strictly speaking, the absolute measurement error eijIs random and is based onDepending on the spatial distribution of the antenna element main polarization and cross polarization patterns. Thus, Ef ijAlso depending on the spatial distribution of the antenna element main polarization and cross polarization patterns. To simplify the analysis, assume Ef ij=EfAnd EfIs a constant within the beam sweep area.
Thereby can obtain
Based on (2.72) have
Without loss of generality, assume | fhh|+|fhv|≥|fvh|+|fvvIf (2.73) can be expressed as
According to (2.70), a
||e||∞≤Ef·||f||∞ (2.75)
Substituting (2.75) into (2.69) there are
||-e·f-1||∞≤Ef·κ(f) (2.76)
Therefore, (2.67) can be expressed as
For a designed dual polarized antenna element, if the antenna cross polarization is below-10 dB, then there is κ (f)<2. Meanwhile, in the antenna measurement, Ef<5% is also easily satisfied. Thus, Efκ (f) is a very small amount.
Then there are
(e-1+f-1)-1≈e (2.78)
Bring (2.78) into (2.61), have
Then deltahhCan be estimated as
Can similarly obtain
Since the derivation (2.81) uses the approximate relation (f)-1+e-1)-1E, therefore (2).81) Is only deltaijAn approximate estimate of the upper bound. To verify the estimated performance of (2.81), the following numerical simulation example is given. Suppose that
And EfBased on (2.81), we calculate δ as 1%ijAs shown in (2.83)
On the other hand, the absolute measurement error e is generated by a random number generator such that eijSatisfy the requirement of
Generation of eijThen, δ was calculated directly using (2.61)ijThe simulation results are shown in fig. 4. | δ in fig. 4hh∣,∣δhv∣,∣δvh| and | δvv| the maximum values are 0.0160, 0.0133, 0.0129 and 0.0162, respectively, which is in good agreement with the estimation result of (2.83). Thus, δ is estimated using equation (2.83)ijThe upper bound of (c) is reasonable.
Further numerical simulation analysis shows that when k (f (theta))S,φS) (matrix f (θ))S,φS) Infinity-norm based condition number) less than 2, while E f5% or less, and the formula (2.81) has good estimation accuracy, and these conditions (k (f (theta))S,φS) < 2 and E)f≦ 5%) may be satisfied in antenna design and measurement. Therefore, δ was analyzed by (2.81)ijThe upper bound of (c) is reasonable. As can be seen from the simulation results of FIG. 4 and the approximate estimation based on (2.83), δijUpper bound of (E) and relative error EfIn the same order of magnitude.
According to theorem 2.1, δ can be obtainedijAnother more general expression for upper bound estimation
From (2.85), δijUpper bound and relative measurement error EfAnd an antenna element pattern f (theta)S,φS) There is a relationship. And κ (f (θ)S,φS) Is characterized by f (theta)S,φS) The magnitude of the cross-polarization. This is explained below by way of an example. Suppose thatThe relationship with γ is shown in fig. 5. As can be seen from fig. 5, when γ becomes large (cross polarization becomes large),and therewith becomes larger.
(2.81) and (2.85) give 2 different estimates of δijThe method of the upper bound, it should be noted that these 2 methods are not equivalent. The estimation of (2.81) facilitates numerical calculation, while (2.85) is suitable for theoretical analysis. As mentioned above, αijAnd betaijRepresents epsilonijThe rate of change in theta and phi. It is therefore necessary to discuss the antenna pattern measurement error vsijThe effect of the spatial rate of change. To study epsilonijSpatial rate of change of (2), definition
i.e. epsilonijThe spatial rate of change of (c). According to (2.58), the compound (I) can be obtained
Since the antenna element pattern measurement error is generally very small, there is fm(θS,φS)≈f(θS,φS) From this can be obtained
WhereinAndthe spatial rate of change of the corrected element pattern is described when the antenna element pattern measurements are error free. As can be seen from (2.90) and (2.91), when the antenna element pattern measurement error is small, the measurement error is epsilonijThe spatial rate of change effect is also small.
(2) And (4) performing correction performance analysis under an ideal H/V channel condition, and only considering the influence of antenna element directional diagram measurement errors and limited beam width on polarization measurement errors under the condition that the amplitude-phase characteristics of the H channel and the V channel are consistent.
In the case of a single spherical raindrop, first, we assume that there is only one spherical raindrop in the beam pointing direction, and no raindrop at other angles. In this case, there is ZDR0dB and LDRInfinity dB. Since only a single raindrop is considered,
the integral over the entire spatial domain in (2.31) can be removed. In the case of a single spherical raindrop, assuming that the raindrop polarization scattering matrix is a unit matrix, (2.31) can be simplified to
From (2.92) may be
Further assume | δij∣=Δ,δijIn the phase of [0,2 π]Are uniformly distributed. Taylor expansion is performed on (2.93) and the higher-order terms are ignored, then | ZDRThe mathematical expectation of | may be approximated as
At | δijΔ | ═ and Arg (δ)ij):[0,2π]Under the assumption that the first and second images are different,symmetrically distributed around 0, thenHence we calculate hereIs a mathematical expectation ofFIG. 6 showsThe variation with Δ, wherein the red line is calculated based on (2.94) and the blue line is simulated based on Monte Carlo. In Monte Carlo simulation, | δ is setijΔ | ═ Δ, and δijIs generated by a random number generator,calculated according to (2.93), and then obtained by multiple times of simulationAre averaged to obtain the finalAs can be seen from fig. 6, the approximation based on equation (2.94) agrees well with the Monte Carlo simulation.
Using a similar derivation, one can obtain
FIG. 7 showsVariation with Δ, wherein the red line is calculated using (2.95), the blue line is simulated using Monte Carlo, the Monte Carlo simulation process is aligned with that of FIG. 6The simulation is similar. As can be seen from FIG. 7, the (2.95) -based approximation matches well with the simulation results using Monte Carlo.
As can be seen from fig. 6 and 7, the error δ is corrected in the axial directionijTo pairAndthe effect of (a) is significant. For a single spherical raindrop, it is sufficientΔ is less than 0.01. This means that the relative error of the antenna element pattern measurements is of the order of 1%. Such high pattern measurement accuracy requirements present significant challenges to antenna measurements. On the other hand, FIGS. 6 and 7 showIncreases approximately linearly with increasing delta, andthe increase in (c) increases approximately logarithmically with increasing Δ.
In the case of a large number of spherical raindrops, it can be seen from the previous analysis that if the parameter α of the linear model (2.55) is aij、βijAnd deltaijAs is known, the polarization measurement performance of the phased array radar can be calculated from (2.53), (2.54), and (2.47). However, since the actual array pattern is not yet available, the parameter α isij、βijAnd deltaijIs unknown. Therefore, a Monte Carlo simulation-based method is provided for analyzing the polarization measurement performance of the phased array radar, and the method comprises the following steps: step 1: pointing (θ) for a given beamS,φS),αij、βijAnd deltaijGenerated by a random number generator, in turn eijCalculated from (2.55);
In the beam pointing direction (theta)S,φS) Repeating the above simulation, and then comparing the obtained resultsAndaveraging to obtain the direction of a given beamAndcalculated by the above methodAndis represented by the parameter alphaij、βijAnd deltaijThe average value under a certain distribution of (a) is a statistical description of the polarization measurement performance.
Table 2.2 shows the corresponding simulation parameters, where U (a, b) denotes the position [ a, b ]]Arg (z) denotes the phase of complex number z. From table 2.1, it can be seen that | α is for a well-designed microstrip patch antenna elementij|p1,|βij| p 1. By further analysis, | α is known for infinitesimal electric dipolesij|≤2,|βijI.ltoreq.2, so we assume here. | αij|≤2,|βijLess than or equal to 2. As can be seen from Table 2.1, αij、βijIs much larger than the imaginary part, indicating aij、βijIs close to 0, so its phase is set in table 2.2 toAre uniformly distributed.
TABLE 2.2 Monte Carlo simulation parameters
First, an example is analyzed, namely a correction matrix CTAnd CRIs completely accurate and contains no errors. Under this condition, there is delta ij0. In this chapter, if not otherwise specified, Z is assumed to beDR=0dB,LDRInfinity dB. Obtained by Monte Carlo simulationAndwithin the entire beam scanning range,less than 3X 10-3dB,Below-36 dB. The result is a hypothetical correction matrix CTAnd CRAre fully accurate and therefore these results can be considered as the best results under the given conditions and can be used as a reference for other simulation results. In addition, the first and second substrates are,the increase from the array normal to the beam pointing (60, 45) is about 2.8dB, which indicates thatThe measured performance of (a) is varied with beam pointing.
Still set delta ij0 while increasing | αij| and | βijThe distribution range of | is, within the whole beam scanning range,less than 8 x 10-3dB,Increasing from-33.34 dB to-30.4 dB, an increase of approximately 2.9 dB.
The effect of antenna element pattern measurement errors on polarization correction performance is analyzed below. Setting | δij0.01 and will | αij| and | βijThe range of | varies from U (0,1) to U (0,2), over the entire beam sweep,there was a slight fluctuation in the vicinity of 0.1dB, which indicates thatHardly depending on the beam scanning direction, and is given by | αij| and | βijThe amplitude of | is not sensitive. On the contraryAs the beam is pointed. FromIncreased from-35.4 dB to-32.8 dB (increased by about 1.6dB), andincreasing from-31.78 dB to-29.55 dB (an increase of about 2.2 dB). This means thatAlso with | αij| and | βijThe amplitude distribution range of l is relevant.
Axial correction error deltaijHas a great influence on the performance of polarization correction, and determinesAndthe lower limit that can be reached.
In addition, the fluctuation speed of the spatial domain polarization of the antenna unit is |, alphaij| and | βijThe magnitude of the l is such that,
to LDRThe measurement of (2) also has a large influence. Therefore, in practice, an antenna unit pair with small fluctuation of space domain polarization characteristics is designed to improve LDRThe accuracy of the measurement is beneficial.
Simulation results show that the aim is to achieveThe relative error of antenna element pattern measurements is up to 1%, which is consistent with previous analysis based on a single spherical raindrop. The requirement of 1% of antenna unit directional diagram measurement accuracy is difficult to achieve in practice, and the requirement of 5% of antenna unit directional diagram measurement accuracy is easy to meet in practice.
Based on | δijThe simulation result of 0.05 is |,there is little fluctuation around 0.5 dB.Increasing from-25.4 dB to-24.4 dB,increasing from 24.4dB to-23.2 dB.
(3) Calibration performance analysis under non-ideal H/V channel conditions
And (4) non-ideal H/V channel modeling, and FIG. 8 is a schematic diagram of T/R components of the polarized phased array radar in an ATSR mode and an STSR mode. Non-idealities in the T/R components can cause coupling between the H and V channels and amplitude phase inconsistencies, thus affecting the accuracy of the polarization measurement.
Channel Isolation (CIS) is used to indicate coupling between H and V channels, and Channel Imbalance (CIM) is used to indicate non-uniformity of amplitude and phase of H and V channels. The non-ideal H/V channel model is shown in FIG. 9, where aijAnd bijTo indicate the coupling and amplitude phase inconsistency of the H and V channels. Two 2 x 2 matrices A and B are used to represent the non-idealities of the transmit and receive channelsThe expression is shown below
Wherein a ishh、avv、bhhAnd bvvDescribe the imbalance of the H/V channel, and ahv、avh、bhvAnd bvhCoupling between H/V channels is described. To simplify the analysis, assume ahh=b hh1, CIM is thus defined as
Note that if | avvIf | is greater than 1, then there isFor CIM to be a non-negative value, use is made ofSimilarly, CIS is defined as
Based on the above analysis, the transmit and receive patterns of an array containing H/V channel non-idealities can be represented as
Assuming that the active patterns of all antenna elements are the same, then
Wherein
The case of a single spherical raindrop, according to previous analysis, contains H/V channel non-idealitiesAndis shown as
Further, A and B may be represented as
Assuming that there is only a single in the beam directionA spherical raindrop, so that only calculation is neededAnddue to the beam pointingAndcan compensateInduced phase change, thereforeAndcan be expressed as
According toAndknowing that the double summation in (2.109) and (2.110) approximates the mathematical term values of A and B;
If deltaijWhen the value is 0, (2.111) can be simplified to 0
(2.112) it was shown that even if the antenna element pattern measurements were completely accurate, the inconsistencies in the H and V channels would be alignedAn influence is produced. Further assume | avv|=|bvvI < 1, according to CIM definition, can be obtained
From (2.113), the conditions were satisfiedThe requirement of (3) is that CIM is less than 0.05dB, namely that the amplitude phase imbalance of the H/V channel is less than 0.05 dB.
Of a single raindropSimulation result of η whereinvv=τvv=0.99,γvv,ψvv~U(-10°,10°),ηhv=ηvh=τhv=τvh=0,|δij|=Δ,Arg(δij) U (0,2 π). When delta<At the time of 0.01, the alloy is,almost constant at 0.26dB, when Δ>0.02,Increasing linearly. This indicates that when the antenna pattern measurement error is small, channel coupling is the main source of polarization measurement error; when the antenna pattern measurement error is large, the polarization measurement error mainly originates from the antenna pattern measurement error.
In the case of a large amount of spherical raindrops, a Monte Carlo simulation-based method is also used here to analyze polarization measurement errors in the case of a large amount of spherical raindrops, and the simulation flow is as follows:
step 1: given | Deltaij|
|αij|=|βij|=2,ηhv=ηvh=τhv=τvh=0,ηvv,τvv~N(0.99,0.012) And gammavv,ψvvU (-10, 10). In fig. 10, single raindrop and heavy raindrop conditionsThe fit is very good. In fig. 11, only when Δ is large, under the single raindrop and large raindrop conditionsThe agreement is compared, and when Δ is smaller, the two conditions areThe difference is very large. This illustrates a finite beamwidth pairThe measurement influence is large.
Setting τhv,ηvh,τhv,τvh~N(0.01,0.012),γhv,γvh,ψhv,ψvhU (-10 °,10 °) and keeping the other parameters unchanged. The simulation results are shown in fig. 12 and 13. As can be seen from fig. 12, when CIS is 40dB, the H/V channel couplesThe effect of (a) was not significant. In FIG. 13, when Δ is small, the H/V channel coupling pairThe influence of (a) is significant.
Axial calibration method-STSR mode, for distributed targets consisting of a large number of raindrops, the received signal is represented as
Wherein s ish(t) and sv(t) waveforms transmitted for the H and V ports, respectively. Suppose Shv(θ,φ)=SvhWhen (θ, Φ) — 0, (2.114) is represented as
From (2.115), Vh(t) and Vv(t) contains the 1 st and 2 nd order terms of the cross-polarization pattern, while in ATSR mode the received electric field component contains only the 2 nd order term of the cross-polarization pattern. Therefore, the system accuracy requirement is higher in the STSR mode than in the ATSR mode.
To overcome the effect of the 1 st order term of the cross-polarization pattern, orthogonal waveforms may be employed. Received signal Vh(t) and Vv(t) after passing through a matched filter, can be expressed as
WhereinAndmatched filters for the H and V channels, respectively.Representing the convolution of the signal.
If s ish(t) and sv(t) is completely orthogonal, then
In this case, (2.116) is equivalent to (2.31). The foregoing analytical methods and conclusions regarding the ATSR mode can therefore be directly applied.
In practice, sh(t) and sv(t) cannot be perfectly orthogonal, so define
Then
Thus, can obtain
Wherein C isTAnd CRSee (2.43) and (2.44). When the waveform sh(t) and svWhen (t) is known, Q is a constant matrix, and (2.120) is also equivalent to (2.31).
Claims (1)
1. An axial correction method for a polarized phased array radar measurement error is characterized by comprising the following steps: the method comprises the following steps:
firstly, establishing an array model
1) Active cell direction, the active direction of the cell in the mth row and nth column is denoted as
Wherein
·fhh(θ, φ) is the radiated electric field component in the H direction when the H port is excited;
·fhv(θ, φ) is the radiated electric field component in the H direction when the V port is excited;
·fvh(θ, φ) is the radiated electric field component in the V direction when the H port is excited;
·fvv(θ, φ) is the V-square when the V port is energizedAn upward radiated electric field component;
2) array direction, transmission and reception pattern of the array FT(θ,φ;θS,φS) And FR(θ,φ;θS,φS) Is shown as
Wherein the subscripts "T" and "R" denote Transmission (Transmission) and Reception (Reception), X, respectivelymn(θS,φS) And Ymn(θS,φS) Complex weighting coefficients respectively representing the units mn;
since each dual polarized antenna element has two ports, H and V, Xmn (theta)S,φS) And Ymn(θS,φS) Expressed as a 2 x 2 matrix, the transmit pattern weighting coefficient matrix should be expressed as
Where columns 1 and 2 represent the excitation of the H and V ports, respectively, assumingThus, it is possible to provideExpressed as a scalar coefficient
For receive weighting, the same weighting is used for the H and V beams, and one is also usedScalar coefficientTo represent the weighting of the received beams;
WhereinIs the position vector of unit mn, k 2 pi/lambda is wave number, lambda is wavelength, exponential termThe phase difference of the cell mn and the reference cell with respect to the target point is shown;
3) a receive voltage equation, and in ATSR mode, when only the H port is excited, the electric field radiated by the phased array antennaIs composed of
Assuming that there is a single raindrop in the beam direction, the polarization scattering matrix is S', when the incident field isThe scattered field of a single raindrop is
Scattered electric fieldThe voltage is generated after being received by the antenna, and according to the antenna theory, the horizontal channel receives the voltage dVhhAnd a vertical channel receiving voltage dVvhAnd scattering electric fieldIn a relationship of
Wherein
The formula (2.24) is expressed in a matrix form as follows
For simplicity, (2.27) omits the terms of distance and gain, it is noted that S' (θ; φ) includes the effects of attenuation and phase shift during propagation of electromagnetic waves, and the expression is shown below
Wherein T represents a one-way path transmission matrix and describes attenuation and phase shift in the electromagnetic wave propagation process, and S (theta; phi) represents a polarization scattering matrix inherent to a single raindrop;
when only the V port is excited, the voltage component dV is receivedhvAnd dVvvIs shown as
(2.27) and (2.29) are combined to
For a large number of raindrops distributed in space, the received voltage V is expressed as
Where Ω denotes a solid angle, d Ω is sin θ d θ d Φ,
when the echoes of a large number of raindrops are incoherent, the total received power P is thereforeij(i, j ═ h, v) is represented by
Pij=∫Ω〈|dVij|2>dΩ (2.32)
Based on (2.32), differential reflectivity ZDRIs defined as
If S'hv=S′vhWhen the linear depolarization ratio is 0, the actually measured linear depolarization ratio represents the error of the linear depolarization ratio;
The "Projection Matrix" method is used to correct polarization measurement errors caused by the non-orthogonality of the H and V port radiated electric fields; when the dual-polarized antenna unit only radiates electromagnetic waves at the H port, an electric field is radiatedIs shown as
Andare respectively asAndthe unit vector in the direction, under the H/V polarization base, the electric field radiated by the dual-polarized antenna unit is expressed as
Wherein the projection matrix P is represented as
Projecting the matrix P as "to be based on polarizationAndthe characterized radiation electric field is transformed into a radiation electric field characterized by H and V polarization radicals, P denotes the transformation of two non-orthogonal unit vectorsAndprojected to orthogonal unit vectorsAndthe above step (1); based on the projection matrix P, the equation of the received voltage of the single point target is expressed as
Wherein S is a target polarization scattering matrix, superscript t represents matrix transposition, and the terms related to distance r and gain are omitted in formula (2.39);
in the ATSR mode, when the H and V ports alternately transmit the unit signal: when the amplitude is 1 and the phase is 0, the receiving voltage equation is expressed as
Thus, the target polarization scattering matrix S is represented as
S=Ct·V·C (2.41)
Wherein C ═ P-1Referred to as a projection correction matrix;
from (2.41), the projection matrix correction method implies the following settings:
1) electric field radiated by H-port and V-portAndthe accuracy is known; 2) the target is a point target; 3) the radiation characteristics of the antenna elements are completely consistent; 4) the amplitude phase characteristics of the H and V channels are ideal; 5) the radar transmission and reception patterns are the same, i.e. the radar is reciprocal;
secondly, deriving a receiving voltage equation,
1) axial correction method-ATSR mode, using projection matrix as reference, based on (2.31), the corrected receiving voltage equation is expressed as
WhereinRepresenting the corrected received voltage matrix, CTAnd CRTo correct the matrix, expressed as
Andindicating measured array transmit and receive directions in the beam direction (theta)S,φS) A value of (d) above; (2.42) is an array-level correction method, the active directions of the array elements are different, and the correction matrixes (2.43) and (2.44) are based on the information of the array transmitting direction axis and the array receiving direction axis direction only, so that the correction matrixes are called as(2.42) the correction method given is axial correction (Boresight correction);
when the transmitting and receiving directions of the array are not reciprocal, two correction matrixes are defined to correct the transmitting and receiving directions of the array respectively, so that (2.42) the projection matrix correction method is expanded;
from (2.43) and (2.44), the axial correction includes: one is toAndcorrecting for non-orthogonality; secondly, the non-uniformity of the gain of the transmitting beam and the receiving beam is compensated; based on (2.18) and (2.19), CTAnd CRIs simplified into
Wherein f ism(θS,φS) Indicating the measured antenna element direction;
(1) linear model, (3.42) can be expressed as
(2.47) is mathematically similar to (2.31), so that the corrected received powerCan still be calculated as (2.32) except that FTAnd FRTo be replaced byAnd(2.48) and (2.49) are mathematical processes only, and the correction matrix in practice acts only on the received voltage V;
first, the corrected cross polarization direction pair is analyzedAndassuming that S' is a unit matrix, the (2.47) is developed into a scalar form, including
In the case of (2.50), the,andcontains the second order term of the cross-polarization pattern, andandthe expression (c) contains the first order term of the cross-polarization direction,is not sensitive to cross-polarization direction, andthe method is sensitive to the cross polarization direction; in the case of the STSR mode,a first order term comprising the cross-polarization direction; therefore, the cross-polarization pattern requirements for the ATSR mode are lower than for the STSR mode;
analyzing the formula (2.47), and assuming that the active directions of the antenna units are the same; based on (2.45) and (2.46),andis shown as
If measured cell direction fm(θS,φS) Exactly without any error, then f (θ, φ) · fm(θS,φS)-1In the beam direction (theta)S,φS) Above would be an identity matrix; and in practice, f (theta, phi) · fm(θS,φS)-1In the beam direction (theta)S,φS) Is not an identity matrix;
Wherein ε ij (θ, φ; θ)S,φS) (i, j ═ h, v) called axial correction error, describes the effect of finite antenna beamwidth on polarization measurement error;andis a normalized array factor, i.e.Andεijthe analytic expression of (2) knows that the direction of the antenna unit is approximate to a linear function of theta and phi through the direction of the actually measured and simulated dual-polarized microstrip patch antenna unit; to this end epsilonijApproximated as a linear function of theta and phi, as shown below
Wherein alpha isij,βijAnd deltaijIs a plurality of parameters;
the formula (2.55) is a linear model of the axial correction error, describes the change relation of the correction error of the axial correction method along with the airspace angles theta and phi, verifies the rationality of the linear model of the formula (2.55), and explains the rationality of the formula (2.55) by utilizing the direction of the simulated dual-polarized microstrip patch antenna unit; corrected microstrip patch antenna directional patternIs shown as
Selecting (theta)S,φS) Equal to (60 °,45 °), e is calculated based on the simulated antenna element directionsij,εijThe linear relationship between theta and phi in the neighborhood of (60 deg., 45 deg.) is approximately linear, and the linear approximation of (2.55) indicates the axial correction error epsilonijIs a slow-varying function of the spatial angles theta and phi;
using Matlab's Curve Fitting toolkit (Curve Fitting Toolbox), with theta and phi as parameters, for epsilonijPerforming a linear fit, R2(R-square), called Coefficient of Determination (coeffient of Determination), between 0 and 1, describes how well the model fits to a given datum;
linear model (2.55) known as αijAnd betaijRepresents epsilonijThe rate of change in theta and phi, if the measured cell orientation is error free, then there is epsilonij(θS,φS;θS,φS) 0, i.e. deltaij0; measured dual-polarized antenna unit direction fm(θS,φS) Expressed as the sum of true directional diagram and absolute measurement error, i.e.
Wherein f (theta)S,φS) Representing the true cell direction, e (θ)S,φS) Corrected element directional diagram representing absolute error of antenna direction measurementIs shown as
(fm)-1=(f+e)-1=f-1-f-1(f-1+e-1)-1f-1 (2.59)
Assuming that e is reversible, substituting (2.59) into (2.58) yields
Wherein I represents an identity matrix, and further obtaining
(2.61) indicates. deltaijMeanwhile, the relation between the real antenna unit direction f and the measurement absolute error e is given by theorem 2.1, which relates to the absolute measurement error e and the antenna unit direction f;
2.1 theorem, setting the direction of a real dual-polarized antenna unit as f, the absolute error of the antenna direction measurement as e, and | eij|=|fijIf there is
(f-1+e-1)-1≈e (2.62)
Prove that the matrix inversion theorem is utilized, have
Due to | eij|=|fijI, have
e+f≈f (2.64)
Therefore (2.63) can be approximated as
(e-1+f-1)-1-e≈-e·f-1·e (2.65)
Based on the matrix norm theory, there are
Wherein | · | purple∞Denotes the matrix ∞ -norm, and further (2.66) denotes
(2.67) in the sense of the matrix ∞ -norm with (e)-1+f-1)-1To approximate the relative error of e, note that
Wherein | f | purple∞·||f-1||∞Define κ (f) | | f | | survival as a condition number based on an infinity norm for the matrix f∞·||f-1||∞Then (2.68) is expressed as
According to the definition of infinity-norm of matrix, | | e | | ventilation∞Is shown as
||e||∞=max{|ehh|+|ehv|,|evh|+|evv|} (2.70)
Absolute measurement error eijIs random and depends on the spatial distribution of the main and cross-polarization directions of the antenna elements, Ef ijAlso dependent on the spatial distribution of the main and cross-polarization patterns of the antenna elements, let Ef ij=EfAnd EfIs a constant in the beam scanning area, thereby obtaining
Based on (2.72) have
Without loss of generality, assume | fhh|+|fhv|≥|fvh|+|fvvIf (2.73) is expressed as
According to (2.70), obtaining
||e||∞≤Ef·||f||∞ (2.75)
Substituting (2.75) into (2.69) there are
||-e·f-1||∞≤Ef·κ(f) (2.76)
Therefore, (2.67) is expressed as
If the antenna cross polarization is below-10 dB, then there is k (f)<In antenna measurement, Ef<5% is also easily satisfied, therefore, Efκ (f) is a very small quantity and thus has
(e-1+f-1)-1≈e (2.78)
Bring (2.78) into (2.61), have
Then deltahhIs estimated as
Can similarly obtain
Derivation (2.81) uses the approximate relationship (f)-1+e-1)-1E, so (2.81) is only δijAn approximate estimate of the upper bound, to verify the estimated performance of (2.81), the following numerical simulations are given: suppose that
And EfCalculated δ based on (2.81) ═ 1%ijThe upper bound of (a) is,
(2.83) generating the absolute measurement error e by means of a random number generator such that eijSatisfy the requirement of
Generation of eijThen, δ was calculated directly using (2.61)ij,
When k (f (θ)S,φS) (matrix f (θ))S,φS) Infinity-norm based condition number) less than 2, while Ef5% or less, and the formula (2.81) has good estimation accuracy, and these conditions (k (f (theta))S,φS) < 2 and E)f5%) are satisfied in antenna design and measurement; deltaijUpper bound of (E) and relative error EfIn a phaseThe same magnitude;
according to theorem 2.1, get δijAnother expression of upper bound estimation
From (2.85), δijUpper bound and relative measurement error EfAnd an antenna unit direction f (theta)S,φS) All have a relationship; and κ (f (θ)S,φS) Is characterized by f (theta)S,φS) The size of the cross-polarization;
is provided with As the relationship with gamma becomes larger (cross polarization becomes larger),and then becomes larger;
(2.81) and (2.85) give 2 different estimates of δijThe method of the upper bound, (2.81) estimation facilitates numerical calculation, while (2.85) is suitable for theoretical analysis; alpha is alphaijAnd betaijRepresents epsilonijThe rate of change in θ and φ;
antenna directional diagram measurement error pair epsilonijInfluence of the spatial rate of change, εijSpatial rate of change of (2), definition
WhereinAnddescribing the spatial rate of change of the antenna element orientation after correction, i.e. epsilonijAccording to (2.58)
Since the direction measurement error of the antenna unit is generally very small, f ism(θS,φS)≈f(θS,φS) Thereby obtaining
WhereinAnddescribing the spatial rate of change of the corrected cell direction when the antenna cell direction measurement is error free;
as known from (2.90) and (2.91), when the antenna element pattern measurement error is small, the measurement error is in the pair εijThe spatial change rate of (a) is also less affected;
(2) the correction performance analysis under the ideal H/V channel condition is carried out, the amplitude phase characteristics of the H channel and the V channel are consistent, and the influence of antenna unit directional diagram measurement errors and limited beam width on polarization measurement errors is set;
1) in the case of a single spherical raindrop, first, it is assumed that there is only one spherical raindrop in the beam pointing direction, in this case ZDR0dB and LDRInfinity dB; only single raindrop is considered, integral of the whole space domain is removed in (2.31), and in the case of single spherical raindrop, if a raindrop polarization scattering matrix is taken as a unit matrix, the (2.31) is simplified into
From (2.92)
Further assume | δij∣=Δ,δijIn the phase of [0,2 π]Are uniformly distributed; taylor expansion is performed on (2.93), then | ZDR| the mathematical expectation is approximated as
at | δijΔ | ═ and Arg (δ)ij):[0,2π]Under the assumption that the first and second images are different,symmetrically distributed around 0, then
in Monte Carlo simulation, | δ is setijΔ | ═ Δ, and δijIs generated by a random number generator,calculated according to (2.93), and then obtained by multiple times of simulationAre averaged to obtain the finalThe approximation based on equation (2.94) is consistent with the results of Monte Carlo simulations;
derived using a derivation method
Monte Carlo simulation procedure and pair for variation with deltaSimilar to the simulation of (2.95), the approximation results based on (2.95) are consistent with the results using the Monte Carlo simulation;
for this purpose, error delta is corrected axiallyijTo pairAndthe effect of (a) is significant, and for a single spherical raindrop, it is sufficientThe measurement accuracy of (1), Δ is less than 0.01; this means that the relative error in the measurement of the antenna element orientation is of the order of 1%, indicating thatIncreases approximately linearly with increasing delta, andincreases in (c) increase approximately logarithmically with increasing Δ;
2) in case of a large number of spherical raindrops, if the parameter α of the linear model (2.55)ij、βijAnd deltaijAs known, the polarization measurement performance of the phased array radar is calculated by (2.53), (2.54) and (2.47);
when the parameter α isij、βijAnd deltaijUnknown, a Monte Carlo simulation-based method is adopted to analyze the polarization measurement performance of the phased array radar, and the method comprises the following steps:
step 1: pointing (θ) for a given beamS,φS),αij、βijAnd deltaijGenerated by a random number generator, in turn eijCalculated from (2.55);
in the beam pointing direction (theta)S,φS) Repeating the above simulation, and then comparing the obtained resultsAndaveraging to obtain the direction of a given beamAndcalculated by the above methodAndis represented by the parameter alphaij、βijAnd deltaijThe average value under a certain distribution of (a) is a statistic of polarization measurement performance;
for a designed microstrip patch antenna element, | αij|p1,|βijI p1 byFurther analysis shows that the | alpha is provided for infinitesimal electric dipolesij|≤2,|βijI.ltoreq.2, therefore assume; | αij|≤2,|βij|≤2,αijThe real part of β ij is much larger than the imaginary part, indicating αij、βijIs close to 0, and thus is set to be in phaseAre uniformly distributed;
first, the matrix C is correctedTAnd CRIs completely accurate and contains no error, under which condition, there is deltaij0, if not stated, Z is assumedDR=0dB,LDRInfinity dB, obtained by Monte Carlo simulationAndwithin the entire beam scanning range,less than 3X 10-3dB,Lower than-36 dB; the result is a hypothetical correction matrix CTAnd CRAre completely accurate, so that these results are considered to be the best results under given conditions and can be used as a reference for other simulation results, in addition toThe increase from the array normal to the beam pointing (60, 45) is about 2.8dB, which indicates thatThe measured performance of (a) is a function of beam pointing; still set deltaij0 while increasing | αij| and | βijThe distribution range of | is, within the whole beam scanning range,less than 8 x 10-3dB,Increased from-33.34 dB to-30.4 dB, an increase of approximately 2.9 dB;
the influence of antenna unit directional diagram measurement error on polarization correction performance is set to be deltaij0.01 and will | αij| and | βijThe range of | varies from U (0,1) to U (0,2), over the entire beam sweep,there was a slight fluctuation in the vicinity of 0.1dB, which indicates thatHardly depending on the beam scanning direction, and is given by | αij| and | βijThe amplitude of | is not sensitive, but ratherAs the beam is directed, fromIncreasing from-35.4 dB to-32.8 dB (an increase of about 1.6dB),increasing from-31.78 dB to-29.55 dB (an increase of approximately 2.2dB) indicates thatAlso with | αij| and | βijThe amplitude distribution range of | is related;
axial correction error deltaijThe influence on the performance of the polarization correction, which determinesAndthe lower limit can be reached, and the fluctuation speed of the spatial domain polarization of the antenna unit is the | alphaij| and | βijAmplitude of L, for LDRThe measurement of (2) also has a large influence, so that in practice, an antenna unit with small fluctuation of space domain polarization characteristics is designed to improve LDRThe accuracy of the measurement is beneficial;
simulation results show that the aim is to achieveThe relative error of the antenna unit directional diagram measurement is 1%, and the measurement precision of the antenna unit directional diagram of 5% is relatively easy to meet in practice based on the | delta%ijThe simulation result of 0.05 is |,there is little fluctuation around 0.5dB,increasing from-25.4 dB to-24.4 dB,increased from 24.4dB to-23.2 dB;
(3) calibration performance analysis under non-ideal H/V channel conditions
1) Non-ideal H/V Channel modeling, namely adopting T/R components of a polarized phased array radar in an ATSR mode and an STSR mode, using Channel Isolation (CIS) to represent coupling between H and V channels, and using Channel Imbalance (CIM) to represent inconsistency of amplitude phases of the H and V channels;
non-ideal HA of the/V channel modelijAnd bijTo represent the coupling and amplitude phase inconsistency of the H and V channels, two 2 x 2 matrices a and B to represent the non-idealities of the transmit and receive channels,
the expression is as follows
Wherein a ishh、avv、bhhAnd bvvDescribe the imbalance of the H/V channel, and ahv、avh、bhvAnd bvhCoupling between H/V channels is described, assuming ahh=bhh1, CIM is thus defined as
Note that if | avvIf | is greater than 1, then there isFor CIM to be a non-negative value, use is made ofSimilarly, CIS is defined as
From the above analysis, the array transmit and receive directions containing H/V channel non-idealities are expressed as
Assuming that the active directions of all antenna elements are the same, then
Wherein
2) In the case of a single spherical raindrop, the inclusion of H/V channel imperfectionsAndis shown as
Further, A and B are represented by
Assuming that there is only a single spherical raindrop in the beam pointing direction, so only one calculation is neededAnddue to the beam pointingAndcan compensateInduced phase change, thereforeAndis shown as
According toAndknowing that the double summation in (2.109) and (2.110) approximates the mathematical term values of A and B;
If deltaijWhen the value is 0, (2.111) is simplified to
(2.112) it was shown that even if the antenna element pattern measurements were completely accurate, the inconsistencies in the H and V channels would be alignedHas an influence ofvv|=|bvv< 1, according to CIM
From (2.113), it is satisfiedThe CIM is less than 0.05dB, namely the amplitude phase imbalance of the H/V channel is less than 0.05 dB;
of a single raindropSimulation result of η whereinvv=τvv=0.99,γvv,ψvv~U(-10°,10°),ηhv=ηvh=τhv=τvh=0,|δij|=Δ,Arg(δij) U (0,2 π), when Δ<At the time of 0.01, the alloy is,almost constant at 0.26dB, when Δ>0.02,The linearity increases, indicating that channel coupling is the main source of polarization measurement error when the antenna pattern measurement error is small; when the antenna directional diagram measurement error is large, the polarization measurement error mainly comes from the antenna directional diagram measurement error;
in the case of a large amount of spherical raindrops, polarization measurement errors in the case of a large amount of spherical raindrops are analyzed by a Monte Carlo simulation method, and the simulation flow is as follows:
step 1: given | Deltaij|
Step 2. Generation of alpha by a random number Generatorij,βij,δij
Step 3 Generation A by a random number GeneratormnAnd Bmn
|αij|=|βij|=2,ηhv=ηvh=τhv=τvh=0,ηvv,τvv~N(0.99,0.012) And gammavv,ψvvU (-10, 10), single raindrop and heavy raindrop conditionsQuite coincident, only when the delta is larger, under the conditions of single raindrop and a large number of raindropsThe agreement is compared, and when Δ is smaller, the two conditions areThe difference is very large, which shows the finite beamwidth pairThe measurement influence is large;
setting etahv,ηvh,τhv,τvh~N(0.01,0.012),γhv,γvh,ψhv,ψvhU (-10 °,10 °) and keeping the other parameters constant, when CIS is 40dB, the H/V channel coupling pairHas insignificant influence, and when the delta is small, the H/V channel coupling pairThe influence of (2) is more obvious;
in the STSR mode, for a distributed target composed of a large number of raindrops, the received signal is represented as
Wherein s ish(t) and sv(t) waveforms transmitted for the H and V ports, respectively, assuming Shv(θ,φ)=SvhWhen (θ, Φ) — 0, (2.114) is represented as
Known from (2.115), Vh(t) and Vv(t) contains the 1 st and 2 nd order terms of the cross-polarization pattern, while the received field component in the ATSR mode contains only the 2 nd order term of the cross-polarization pattern, and therefore the system accuracy requirement in the STSR mode is higher than that in the ATSR mode;
in order to overcome the influence of the 1 st order term of the cross-polarization directional diagram, the orthogonal waveform is adopted, and a receiving signal V is receivedh(t) and Vv(t) after passing through a matched filter, is represented as
WhereinAndmatched filters for the H and V channels respectively,representing a signal convolution; if s ish(t) and sv(t) is completely orthogonal, then
In this case, (2.116) is equivalent to (2.31);
in practice, sh(t) and sv(t) cannot be perfectly orthogonal, so define
Then
Thereby obtaining
Wherein C isTAnd CRSee (2.43) and (2.44); when the waveform sh(t) and svWhen (t) is known, Q is a constant matrix, and (2.120) is also equivalent to (2.31).
Abstract
The invention relates to the technical field of meteorological radar axial correction, and discloses an axial correction method for measurement errors of a polarized phased array radarPolarization measurement errors caused by non-orthogonality of the radiation electric field in the beam pointing direction are analyzed, and polarization error correction performance under ATSR and STSR modes is analyzed. The invention corrects the polarization measurement error through the non-orthogonality of the radiation electric field in the direction of the polarized phased array antenna wave beam, is suitable for the phased array radar, and ensures that the Z-shaped antenna wave beam is not orthogonalDRThe measurement error is less than 0.1dB, the relative error of the antenna directional diagram measurement is less than 1%, the polarization measurement performance is analyzed quickly and accurately, the measurement precision is high, and the method has great practical value for the polarization phased array radar antenna measurement.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110250053.9A CN113030888A (en) | 2021-03-08 | 2021-03-08 | Axial correction method for measurement error of polarized phased array radar |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110250053.9A CN113030888A (en) | 2021-03-08 | 2021-03-08 | Axial correction method for measurement error of polarized phased array radar |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113030888A true CN113030888A (en) | 2021-06-25 |
Family
ID=76467152
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110250053.9A Pending CN113030888A (en) | 2021-03-08 | 2021-03-08 | Axial correction method for measurement error of polarized phased array radar |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113030888A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114218785A (en) * | 2021-12-10 | 2022-03-22 | 厦门大学 | Method for analyzing channel error disturbance of power directional diagram of antenna with coupled array |
CN114499581A (en) * | 2022-01-25 | 2022-05-13 | 电子科技大学 | Aperture-level same-frequency full-duplex phased-array antenna broadband coupling signal cancellation method |
CN114814386A (en) * | 2022-05-17 | 2022-07-29 | 中国人民解放军63660部队 | Method for obtaining beam scanning time domain directional diagram of transient electromagnetic pulse array antenna |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109541558A (en) * | 2018-09-30 | 2019-03-29 | 航天恒星科技有限公司 | A kind of calibration method of whole process total system Active Phase-Array Radar target seeker |
-
2021
- 2021-03-08 CN CN202110250053.9A patent/CN113030888A/en active Pending
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109541558A (en) * | 2018-09-30 | 2019-03-29 | 航天恒星科技有限公司 | A kind of calibration method of whole process total system Active Phase-Array Radar target seeker |
Non-Patent Citations (1)
Title |
---|
庞晨: ""相控阵雷达精密极化测量理论与技术研究"", 《中国博士学位论文全文数据库信息科技辑》, pages 136 - 92 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114218785A (en) * | 2021-12-10 | 2022-03-22 | 厦门大学 | Method for analyzing channel error disturbance of power directional diagram of antenna with coupled array |
CN114499581A (en) * | 2022-01-25 | 2022-05-13 | 电子科技大学 | Aperture-level same-frequency full-duplex phased-array antenna broadband coupling signal cancellation method |
CN114499581B (en) * | 2022-01-25 | 2022-10-11 | 电子科技大学 | Aperture-level same-frequency full-duplex phased array antenna broadband coupling signal cancellation method |
CN114814386A (en) * | 2022-05-17 | 2022-07-29 | 中国人民解放军63660部队 | Method for obtaining beam scanning time domain directional diagram of transient electromagnetic pulse array antenna |
CN114814386B (en) * | 2022-05-17 | 2024-04-19 | 中国人民解放军63660部队 | Method for acquiring wave beam scanning time domain directional diagram of transient electromagnetic pulse array antenna |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN113030888A (en) | Axial correction method for measurement error of polarized phased array radar | |
Lier et al. | Phased array calibration and characterization based on orthogonal coding: Theory and experimental validation | |
CN109946664B (en) | Array radar seeker monopulse angle measurement method under main lobe interference | |
CN106443211A (en) | Integrated correcting system and correcting method applied to different active array antennas | |
Fulton et al. | Calibration of a digital phased array for polarimetric radar | |
CN106980104B (en) | Signal direction of arrival self-correction method for sensor array | |
CN102393513A (en) | Polarimetric calibration technique based on natural distribution scenes and rare calibrator | |
CN110361705B (en) | Phased array antenna near field iterative calibration method | |
CN113189592B (en) | Vehicle-mounted millimeter wave MIMO radar angle measurement method considering amplitude mutual coupling error | |
CN113381187B (en) | Spherical phased array antenna coordinate far and near field comparison and correction method | |
CN112596022B (en) | Wave arrival angle estimation method of low-orbit satellite-borne multi-beam regular hexagonal phased array antenna | |
CN107607915A (en) | Connectors for Active Phased Array Radar receiving channels calibration method based on static echo from ground features | |
CN111766455A (en) | Phased array antenna directional pattern prediction method and system based on aperture current method | |
Pang et al. | Polarimetric bias correction of practical planar scanned antennas for meteorological applications | |
Fulton et al. | Mutual coupling-based calibration for the Horus digital phased array radar | |
Schvartzman et al. | Holographic back-projection method for calibration of fully digital polarimetric phased array radar | |
Stephan et al. | Evaluation of antenna calibration and DOA estimation algorithms for FMCW radars | |
CN115542026A (en) | Antenna efficiency testing method based on reverberation chamber | |
Han et al. | Analysis of cross-polarization jamming for phase comparison monopulse radars | |
Urzaiz et al. | Digital beamforming on receive array calibration: Application to a persistent X-band surface surveillance radar | |
Carlsson et al. | About measurements in reverberation chamber and isotropic reference environment | |
Peng et al. | Unconventional beamforming for quasi-hemispheric coverage of a phased array antenna | |
Budé et al. | Near-Field Calibration Methods for Integrated Analog Beamforming Arrays and Focal Plane Array Feeds | |
CN115542276B (en) | Distributed target selection and calibration method under circular polarization system | |
CN116520257B (en) | Polarization calibration method for L-band full-polarization system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |