CN106405485A - Correction source position unknown antenna array column amplitude phase error correction method in movement - Google Patents

Correction source position unknown antenna array column amplitude phase error correction method in movement Download PDF

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CN106405485A
CN106405485A CN201610865202.1A CN201610865202A CN106405485A CN 106405485 A CN106405485 A CN 106405485A CN 201610865202 A CN201610865202 A CN 201610865202A CN 106405485 A CN106405485 A CN 106405485A
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matrix
aerial array
eigenvalue
correction
array
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CN106405485B (en
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孙奕髦
王立
樊荣
刘洋
胡泽鹏
邹麟
殷吉昊
万群
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University of Electronic Science and Technology of China
CETC 10 Research Institute
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CETC 10 Research Institute
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S3/00Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
    • G01S3/02Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using radio waves
    • G01S3/04Details
    • G01S3/10Means for reducing or compensating for quadrantal, site, or like errors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S3/00Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
    • G01S3/02Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using radio waves
    • G01S3/14Systems for determining direction or deviation from predetermined direction

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Variable-Direction Aerials And Aerial Arrays (AREA)

Abstract

The invention belongs to the technical field of electronic information, more particularly, to an antenna array column amplitude phase error correction method using the repetitively measured correction source signals in the movement of the antenna array under the condition that the correction source position is unknown. According to the invention, the signal source at an external environment is used as a correction source. Under the condition that the correction source position is unknown, the repetitively measured correction source signals are used to correct the antenna array column amplitude phase error, which makes up the shortcomings in the conventional active correction method that the correction source position must be a known one and its position should be fixed.

Description

A kind of aerial array amplitude phase error disorder of internal organs calibration method of calibration source Location-Unknown
Technical field
The invention belongs to electronic information technical field, more particularly, to one kind, in the case of calibration source Location-Unknown, utilize The correction source signal method that carries out aerial array amplitude and phase error correction of aerial array repeated measure at the volley.
Background technology
In antenna array direction-finding system, aerial array amplitude phase error is to the Measure direction performance of existing a lot of direction-finding methods Impact especially severe, main reason is that these direction-finding methods assume that the direction vector of aerial array and signal arrival bearing it Between relation be known, by element position, signal wavelength and arrival bearing determine.But, in actual applications, aerial array The signal receiving channel of each array element often there is the error that width phase non_uniform response leads to so that the side of the aerial array of reality Not only relevant with signal arrival bearing to vector, also have with the width phase response of the signal receiving channel of each array element of aerial array Close.If be not corrected it is known that between the direction vector of aerial array and signal arrival bearing to aerial array amplitude phase error The hypothesis of relation be just false, by the Measure direction performance degradation of the direction-finding method leading to based on this hypothesis.
In order to correct aerial array amplitude phase error, people are frequently used active correction method, and the method is in known calibration source Carry out aerial array amplitude and phase error correction on the premise of position.By the calibration source transmission signal of known location, can be compared More accurate aerial array amplitude and phase error correction result, but opening needed for calibration source known to deployed position in actual applications Pin is larger, and the calibration source of fixed position is difficult to meet the need of the larger dynamic array real time correction amplitude phase error of range of movement Ask.
Content of the invention
The present invention be directed to prior art in active correction method deficiency, by the use of signal source present in external environment condition as Calibration source, in the case of calibration source Location-Unknown, the correction source signal using aerial array repeated measure at the volley is carried out Aerial array amplitude and phase error correction.
The technical scheme is that:
Determine the initial position co-ordinates of aerial array, the number of times of aerial array repeated measure process at the volley, antenna array Arrange the position coordinateses of all array elements, the coordinate of all position grid points, the signal frequency of correction source radiation;Then start to measure Journey;Secondly, aerial array moves to new position, repeated measure process;Then, true in multiple diverse locations using aerial array The vector of fixed noise subspace matrix and sensing position grid point determines each corresponding correction matrix of position grid point;? Afterwards, the minimal eigenvalue of each corresponding correction matrix of position grid point and its corresponding characteristic vector are determined respectively, all A minima is determined, the corresponding characteristic vector of this minima is the correction of aerial array amplitude phase error in minimal eigenvalue Result.
A kind of aerial array amplitude phase error disorder of internal organs calibration method of calibration source Location-Unknown, concretely comprises the following steps:
S1, determine the initial position co-ordinates (x of aerial array0,y0,z0), determine aerial array repeated measure mistake at the volley The number of times P of journey, determines the snap number of times L of antenna array receiver signal in each measurement process, determines all array element of aerial array Position coordinateses (am,bm,cm), determine the coordinate (α of all position grid pointsnnn), signal frequency f of correction source radiation, Wherein, m=1,2 ..., M, M are element number of array, n=1, and 2 ..., N, N are the numbers of position grid point;
S2, beginning measurement process, that is,:Determine the coordinate (x of aerial array current location1,y1,z1) and the sensing of this position The vector of position grid pointDetermine many The antenna array receiver signal x of secondary snap1(t) and its autocorrelation matrixAnd to autocorrelation matrix R1 Carry out Eigenvalues Decomposition, obtainDetermine this position corresponding noise subspace matrix V1= [u12,u13,…,u1M], wherein,C is the light velocity, t= 1,2 ..., L, *HRepresent conjugate transpose, λ11For autocorrelation matrix R1Eigenvalue of maximum, U1For the corresponding feature of eigenvalue of maximum Vectorial u11The matrix constituting, Λv1=diag (λ1213,…,λ1M) it is with remaining less M-1 eigenvalue as diagonal element Diagonal matrix, V1It is by corresponding characteristic item amount u of remaining less M-1 eigenvalue12,u13,…,u1MNoise constituting Space matrix;
S3, aerial array move to new position, repeated measure process, that is,:Determine the coordinate of aerial array current location (xp,yp,zp) and this position point to position grid point vectorRepeatedly the aerial array of snap connects Collection of letters xp(t) and its autocorrelation matrixAnd to autocorrelation matrix RpCarry out Eigenvalues Decomposition, obtain ArriveDetermine the corresponding noise subspace matrix in this position, wherein, p=2,3 ..., P+1, t =1,2 ..., L,λp1It is from phase Close matrix RpEigenvalue of maximum, UpFor the corresponding characteristic vector of eigenvalue of maximum, Λvp=diag (λp2p3,…,λpM) be with Remaining less M-1 eigenvalue is the diagonal matrix of diagonal element, VpIt is by the corresponding spy of remaining less M-1 eigenvalue Levy item amount up2,up3,…,upMThe noise subspace matrix V constitutingp=[up2,up3,…,upM];
S4, the noise subspace matrix being determined in multiple diverse locations using aerial array and sensing position grid point to Amount determines each corresponding correction matrix of position grid point
S5, determine the minimal eigenvalue λ of each corresponding correction matrix of position grid point respectivelymin(Qn) and its corresponding Characteristic vector qmin(Qn), all minimal eigenvalues determine a minimaThe corresponding feature of this minima VectorIt is the correction result of aerial array amplitude phase error, wherein,It is to work as n=1,2 ..., meet during NValue.
The invention has the beneficial effects as follows:
The inventive method using signal source present in external environment condition as calibration source, in the situation of calibration source Location-Unknown Under, using aerial array, repeated measure correction source signal is corrected to aerial array amplitude phase error at the volley, compensate for passing System active correction method requires the deficiency that correction source position is known, position is fixing.
Specific embodiment
With reference to specific embodiment, the present invention is described in further detail.
Embodiment:
The uniform antenna linear array determining 10 radio reception array elements composition receives present in an external environment condition, position Unknown signal source signal, with this signal as calibration source, aerial array at the volley repeated measure process number of times P be 20, In measurement process, the snap number of times L of antenna array receiver signal is 20 every time.The signal to noise ratio of each array element receipt signal is 20dB, noise is zero mean Gaussian white noise, and calibration source position coordinateses are (900,1900,0), and the disorder of internal organs calibration method of the present invention is not Need the positional information using calibration source.The range error ρ of aerial array12,…,ρ10Be respectively average be that zero standard difference is The independent random variable of the Gauss distribution of 3dB;The phase error of aerial arrayBe respectively (0,2 π] in uniformly divide The independent random variable of cloth.
Idiographic flow is as follows:
S1, determine the initial position co-ordinates (x of aerial array0,y0,z0) it is (0,0,0), determine aerial array at the volley The number of times P of repeated measure process is 20, and in each measurement process, the snap number of times L of antenna array receiver signal is 20;Determine The position coordinateses of all array element of aerial array, respectively (0,0,0), (0.15,0,0), (0.3,0,0) ..., (1.35,0,0); Determine that the coordinate of position grid point is respectively (0,0,0), (0,100,0), (0,200,0) ..., (0,5000,0), (100,0, 0), (100,100,0), (100,200,0) ..., (100,5000,0) ..., (5000,0,0), (5000,100,0), (5000, 200,0) ..., (5000,5000,0), number N of position grid point is 2601;Signal frequency f determining signal source radiation is 1GHz.
S2, beginning measurement process, that is,:Determine aerial array current location coordinate be (100,0,0), determine that this position refers to To the vector of position grid point, the most front 2 row and last 2 row are respectively
Determine the antenna array receiver signal of 20 snaps, the most front 2 row and last 2 row are respectively
Determine its autocorrelation matrix, be
To autocorrelation matrix R1Carry out Eigenvalues Decomposition, determine the corresponding noise subspace matrix in this position, be
S3, aerial array move to new position, repeated measure process, that is,:Determine the coordinate of aerial array current location, It is respectively (200,0,0), (300,0,0) ..., (1900,0,0);Determine that the vector of position grid point is pointed in this position respectively, Determine the antenna array receiver signal of 20 snaps, determine its autocorrelation matrix, and Eigenvalues Decomposition is carried out to autocorrelation matrix, Determine the corresponding noise subspace matrix in this position, the noise subspace matrix repeating the 2nd time and the 20th time determination is respectivelyWith
S4, the noise subspace matrix being determined in 20 diverse locations using aerial array and sensing position grid point to Amount determines each corresponding correction matrix of position grid point, the 1st and last 1 position grid point corresponding correction matrix difference ForWith
S5, the minimal eigenvalue determining each corresponding correction matrix of position grid point respectively and its corresponding feature to Amount, the corresponding minimal eigenvalue of the 1st position grid point is 7.6343, and its corresponding characteristic vector is
[0.1616+0.0000i,0.0733-0.1744i,-0.3662-0.0511i,-0.5242+0.4774i, 0.0634-0.2958i,0.0704+0.1638i,-0.2990+0.0738i,0.1758-0.0180i,-0.0592-0.0277i, 0.2097-0.0313i]
The corresponding minimal eigenvalue of last 1 position grid point is 6.2348, and its corresponding characteristic vector is
[- 0.0349-0.0000i, 0.0242+0.0004i, 0.0085+0.0282i, 0.0337+0.1013i, 0.0108+ 0.0202i, -0.1401-0.1253i, -0.0882-0.7150i, -0.1167-0.0983i, 0.4428-0.3456i, - 0.2798-0.1187i]
Determine a minima in all minimal eigenvalues, be 3.2538e-16;The corresponding feature of this minima to Measure and be
[1.0000+0.0000i, 0.5043-0.8554i, -0.7117-0.7479i, -1.0043+0.1169i, 0.1029 + 0.9966i, 0.8523+0.5080i, -0.9664-0.2571i, 0.8796-0.5740i, 0.8679+0.5435i, 0.4890+ 0.9038i]
It is the correction result of aerial array amplitude phase error.
Contrast real amplitude phase error vector
[1.0000-0.0000i, 0.5169-0.8561i, -0.6874-0.7262i, -0.9925+0.1226i, 0.0873 + 0.9962i, 0.8482+0.5297i, -0.9600-0.2799i, 0.8463-0.5327i, 0.8338+0.5521i, 0.4232+ 0.9060i]
Define range error estimation difference be
Wherein, g (m) is the amplitude phase error of m-th array element of aerial array,Width phase for m-th array element of aerial array The correction result of error.The averaged power spectrum error of range error is
The estimation difference of phase error is
The averaged power spectrum error of phase error is
Can obtain:
The estimation difference of aerial array each channel amplitude error that the inventive method measures is
[0,0.5383,0.2698,0.2734,0.3042,0.1920,0.3556,0.3086,0.2767,0.2688],
Unit is dB, and the averaged power spectrum error of range error is less than 0.3dB;The aerial array that the inventive method measures is each logical The estimation difference of road phase error is
[0.0000,2.7886,1.1507,0.4701,2.9177,1.1190,2.4925,0.5506,1.6926, 1.2185],
Unit is degree, and the averaged power spectrum error of phase error is less than 2.0 degree.

Claims (1)

1. a kind of aerial array amplitude phase error disorder of internal organs calibration method of calibration source Location-Unknown is it is characterised in that concretely comprise the following steps:
S1, determine the initial position co-ordinates (x of aerial array0,y0,z0), determine aerial array repeated measure process at the volley Number of times P, determines the snap number of times L of antenna array receiver signal in each measurement process, determines the position of all array element of aerial array Put coordinate (am,bm,cm), determine the coordinate (α of all position grid pointsnnn), signal frequency f of correction source radiation, its In, m=1,2 ..., M, M are element number of array, n=1, and 2 ..., N, N are the numbers of position grid point;
S2, beginning measurement process, that is,:Determine the coordinate (x of aerial array current location1,y1,z1) and this position sensing position The vector of mesh pointDetermine repeatedly fast The antenna array receiver signal x clapping1(t) and its autocorrelation matrixAnd to autocorrelation matrix R1Carry out Eigenvalues Decomposition, obtainsDetermine this position corresponding noise subspace matrix V1=[u12, u13,…,u1M], wherein,
C is light Speed, t=1,2 ..., L, *HRepresent conjugate transpose, λ11For autocorrelation matrix R1Eigenvalue of maximum, U1Correspond to for eigenvalue of maximum Characteristic vector u11The matrix constituting, Λv1=diag (λ1213,…,λ1M) it is to be right with remaining less M-1 eigenvalue The diagonal matrix of angle element, V1It is by corresponding characteristic item amount u of remaining less M-1 eigenvalue12,u13,…,u1MConstitute Noise subspace matrix;
S3, aerial array move to new position, repeated measure process, that is,:Determine the coordinate (x of aerial array current locationp, yp,zp) and this position point to position grid point vectorRepeatedly the aerial array of snap connects Collection of letters xp(t) and its autocorrelation matrixAnd to autocorrelation matrix RpCarry out Eigenvalues Decomposition, obtain ArriveDetermine the corresponding noise subspace matrix in this position, wherein, p=2,3 ..., P+1, t =1,2 ..., L,λp1It is from phase Close matrix RpEigenvalue of maximum, UpFor the corresponding characteristic vector of eigenvalue of maximum, Λvp=diag (λp2p3,…,λpM) be with Remaining less M-1 eigenvalue is the diagonal matrix of diagonal element, VpIt is by the corresponding spy of remaining less M-1 eigenvalue Levy item amount up2,up3,…,upMThe noise subspace matrix V constitutingp=[up2,up3,…,upM];
S4, the vector utilizing aerial array in multiple diverse locations noise subspace matrix determining and pointing to position grid point are really Each corresponding correction matrix of position grid point fixed
S5, determine the minimal eigenvalue λ of each corresponding correction matrix of position grid point respectivelymin(Qn) and its corresponding feature to Amount qmin(Qn), all minimal eigenvalues determine a minimaThe corresponding characteristic vector of this minimaIt is the correction result of aerial array amplitude phase error, wherein,It is to work as n=1,2 ..., meet during NValue.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107037397A (en) * 2017-06-21 2017-08-11 哈尔滨工业大学 A kind of method that a variety of array errors are corrected in Mutual coupling
CN108037520A (en) * 2017-12-27 2018-05-15 中国人民解放军战略支援部队信息工程大学 Direct deviations modification method based on neutral net under the conditions of array amplitude phase error
CN108872933A (en) * 2018-07-16 2018-11-23 电子科技大学 A kind of single station is acted aimlessly or rashly interferometer localization method
CN110988786A (en) * 2019-11-20 2020-04-10 成都大公博创信息技术有限公司 Array direction finding calibration method
CN114609579A (en) * 2022-03-23 2022-06-10 电子科技大学 Defocusing direction finding error correction method
CN114679227A (en) * 2022-03-25 2022-06-28 电子科技大学 Space frequency domain correction method for direction finding error

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030122709A1 (en) * 2001-12-28 2003-07-03 Soon-Ik Jeon Electronic active phase control array antenna, method for compensating for direction differences at the antenna, and satellite tracking system and method using the antenna
CN101251597A (en) * 2008-04-08 2008-08-27 西安电子科技大学 Method for self-correction of array error of multi-input multi-output radar system
CN103383450A (en) * 2013-06-25 2013-11-06 西安电子科技大学 Conformal array radar amplitude-phase error correction fast achieving method
CN103885048A (en) * 2014-03-20 2014-06-25 西安电子科技大学 Bistatic MIMO radar transceiver array amplitude phase error correction method
CN103926555A (en) * 2013-11-26 2014-07-16 同方电子科技有限公司 Method for testing amplitude and phase response of antenna array receiver through non-circular signals

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030122709A1 (en) * 2001-12-28 2003-07-03 Soon-Ik Jeon Electronic active phase control array antenna, method for compensating for direction differences at the antenna, and satellite tracking system and method using the antenna
CN101251597A (en) * 2008-04-08 2008-08-27 西安电子科技大学 Method for self-correction of array error of multi-input multi-output radar system
CN103383450A (en) * 2013-06-25 2013-11-06 西安电子科技大学 Conformal array radar amplitude-phase error correction fast achieving method
CN103926555A (en) * 2013-11-26 2014-07-16 同方电子科技有限公司 Method for testing amplitude and phase response of antenna array receiver through non-circular signals
CN103885048A (en) * 2014-03-20 2014-06-25 西安电子科技大学 Bistatic MIMO radar transceiver array amplitude phase error correction method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JUNGTAI KIM ET AL.: "Blind Calibration for a Linear Array With Gain and Phase Error Using Independent Component Analysis", 《IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS》 *
YOUMING LI ET AL.: "Theoretical analyses of gain and phase error calibration with optimal implementation for linear equispaced array", 《IEEE TRASACTIONS ON SIGNAL PROCESSING》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107037397A (en) * 2017-06-21 2017-08-11 哈尔滨工业大学 A kind of method that a variety of array errors are corrected in Mutual coupling
CN108037520A (en) * 2017-12-27 2018-05-15 中国人民解放军战略支援部队信息工程大学 Direct deviations modification method based on neutral net under the conditions of array amplitude phase error
CN108872933A (en) * 2018-07-16 2018-11-23 电子科技大学 A kind of single station is acted aimlessly or rashly interferometer localization method
CN108872933B (en) * 2018-07-16 2022-02-08 电子科技大学 Single-station blind interferometer positioning method
CN110988786A (en) * 2019-11-20 2020-04-10 成都大公博创信息技术有限公司 Array direction finding calibration method
CN110988786B (en) * 2019-11-20 2023-09-22 成都大公博创信息技术有限公司 Array direction-finding calibration method
CN114609579A (en) * 2022-03-23 2022-06-10 电子科技大学 Defocusing direction finding error correction method
CN114609579B (en) * 2022-03-23 2023-05-12 电子科技大学 Defocus direction finding error correction method
CN114679227A (en) * 2022-03-25 2022-06-28 电子科技大学 Space frequency domain correction method for direction finding error
CN114679227B (en) * 2022-03-25 2023-07-14 电子科技大学 Space frequency domain correction method for direction finding error

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