CN108761381B - Target information source detection method based on array antenna - Google Patents
Target information source detection method based on array antenna Download PDFInfo
- Publication number
- CN108761381B CN108761381B CN201810310821.3A CN201810310821A CN108761381B CN 108761381 B CN108761381 B CN 108761381B CN 201810310821 A CN201810310821 A CN 201810310821A CN 108761381 B CN108761381 B CN 108761381B
- Authority
- CN
- China
- Prior art keywords
- array antenna
- target information
- matrix
- information source
- cell
- 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.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 238000004364 calculation method Methods 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000001228 spectrum Methods 0.000 claims abstract description 16
- 238000005516 engineering process Methods 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims abstract description 6
- 239000011159 matrix material Substances 0.000 claims description 54
- 230000005855 radiation Effects 0.000 claims description 6
- 238000000354 decomposition reaction Methods 0.000 claims description 5
- 230000005284 excitation Effects 0.000 claims description 5
- ODLMAHJVESYWTB-UHFFFAOYSA-N propylbenzene Chemical group CCCC1=CC=CC=C1 ODLMAHJVESYWTB-UHFFFAOYSA-N 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000010295 mobile communication Methods 0.000 abstract description 3
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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
- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
- G01S3/02—Direction-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
- G01S3/74—Multi-channel systems specially adapted for direction-finding, i.e. having a single antenna system capable of giving simultaneous indications of the directions of different signals
-
- 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
- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
- G01S3/02—Direction-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
- G01S3/14—Systems for determining direction or deviation from predetermined direction
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Radar Systems Or Details Thereof (AREA)
- Variable-Direction Aerials And Aerial Arrays (AREA)
Abstract
The invention belongs to the technical field of mobile communication, and discloses a target information source detection method based on an array antenna, which comprises the following steps: preliminarily judging the number and the direction of target information sources by a beam forming technology, and dividing an antenna coverage area into a plurality of cells according to received signal power obtained in the beam rotating process; enabling the wave beams to point to a plurality of cells in sequence, obtaining a spatial spectrum of signals in each cell through an MUSIC algorithm, and determining the number and the direction of target information sources in each cell; and summarizing the calculation results of the cells, and comprehensively processing to obtain the accurate number and the accurate direction of the target information source. The invention solves the problems of lower spatial resolution and multiple limitations on application of the azimuth estimation of the target information source in the prior art, can improve the spatial resolution, and can detect the number of the information sources without the limitation of the number of array antenna array elements.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a target information source detection method based on an array antenna.
Background
Array antennas have been widely used in military fields such as radar, sonar, and electronic countermeasure in the past, and in recent years, array antennas have come to be used in civil fields such as mobile communications. In the field of array signal processing, the direction estimation of a target signal source is always an important content of research and is also a hotspot and difficulty of research. The traditional estimation method is based on a beam forming technology, and the direction of a source is determined in a scanning mode. However, there are many limitations to using similar algorithms such as MUSIC to calculate angles, for example, the number of sources including multipath is required to be smaller than the number of antenna elements, so there are many limitations in practical use.
Disclosure of Invention
The embodiment of the application provides a target information source detection method based on an array antenna, and solves the problems that in the prior art, the spatial resolution is low and a lot of limitations are caused in application in the direction estimation of a target information source.
The embodiment of the application provides a target information source detection method based on an array antenna, which is characterized by comprising the following steps:
preliminarily judging the number and the direction of target information sources by a beam forming technology, and dividing an antenna coverage area into a plurality of cells according to received signal power obtained in the beam rotating process;
enabling the wave beams to point to a plurality of cells in sequence, obtaining a spatial spectrum of signals in each cell through an MUSIC algorithm, and determining the number and the direction of target information sources in each cell;
and summarizing the calculation results of the cells, and comprehensively processing to obtain the accurate number and the accurate direction of the target information source.
Preferably, the target source detection method based on the array antenna specifically includes the following steps:
(1) according to the arrangement structure of each array element of the array antenna, a beam forming weight is obtained by using a beam forming algorithm, so that a radiation pattern of the array antenna is a narrow beam;
(2) changing the shaped weight value to rotate the direction of the wave beam of the array antenna;
(3) calculating the received signal power once when the wave beam rotates for every angle;
(4) preliminarily judging the number and the orientation of target information sources according to the received signal power obtained by calculation in the beam rotation process, and dividing the coverage area of the array antenna into K cells according to the preliminarily judged information source orientation;
(5) enabling the wave beam to point to a kth cell, and calculating a covariance matrix of the kth cell according to the received signals;
(6) performing characteristic decomposition on the covariance matrix, arranging characteristic values from large to small, and obtaining a corresponding characteristic vector matrix;
(7) calculating according to an MUSIC algorithm to obtain a spatial spectrum of a signal in a kth cell, searching a maximum value point in the spatial spectrum, and determining the number and the direction of target information sources in the kth cell;
(8) k is k + 1; if K < ═ K, returning to the step (5) and calculating the next cell; if K is larger than K, ending the circulation;
(9) and (5) integrating the calculation results of the K times, and performing summary processing to obtain the final accurate direction of the target information source.
Preferably, the specific implementation process of step (1) and step (2) is as follows: calculating a forming weight of a beam according to a beam forming algorithm, wherein the forming weight is used for controlling the amplitude and the phase of an excitation signal of each array element, so that a radiation pattern of the array antenna is a narrow beam; and the amplitude and the phase of the excitation signal are changed by changing the forming weight, so that the beam pointing rotation of the array antenna is controlled.
Preferably, the calculation formula of the received signal power in the step (4) is P ═ I2+Q2Wherein, I is an in-phase carrier signal and Q is a quadrature carrier signal.
Preferably, K in step (4) is less than 5.
Preferably, the covariance matrix in step (5) is calculated by the following formula:
wherein, L is the sampling fast beat number of the data, H represents the conjugate transpose matrix, and X is the data received by the array antenna.
Preferably, the eigenvalue decomposition of step (6) is implemented by orthogonal operation, and the covariance matrix is transformed into an approximate diagonal matrix through multiple iterations.
Preferably, the specific implementation process of step (6) is as follows:
s1, where m is 1 and n is m + 1;
s2, constructing an orthogonal matrix P as follows:
in the above formula
S3 calculating R ═ PRPH，E'＝EPHH is a conjugate transpose matrix, R 'is a covariance matrix after the iteration, E' is an identity matrix after the iteration, and E is an identity matrix;
s4, if n is equal to n +1, go back to S2; if n is larger than M, the next step is carried out;
s5, changing M to M +1, and returning to S2 if M is not greater than M; if M is larger than M, carrying out the next step;
s6, calculating the square sum of absolute values of off-diagonal elements of the covariance matrix, and if the square sum is less than e, finishing iterative calculation; if the sum of squares is greater than e, go back to S1 to enter the next iteration; wherein e is an iteration error, and e is 10-5。
Preferably, the MUSIC spatial spectrum calculation formula in the step (7) is as follows:
Preferably, the step (9) includes analyzing whether there is a repeatedly calculated source in the neighboring cell; and if the information source of the repeated calculation exists, removing the repeated calculation data.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the invention combines the beam forming technology and the MUSIC algorithm to realize the target information source detection of the array antenna, and compared with the target detection by using beam scanning, the invention can overcome the problems of larger target range, ambiguity and low pointing precision caused by the beam width; compared with the space spectrum estimation for target detection, the method can avoid the problem that the space spectrum estimation information source is inaccurate or omitted when the wireless environment is complex. The invention adopts a method of twice searching, has simple principle, can improve the accuracy of calculation, and particularly can overcome the problem of information source omission caused by multipath signals. In summary, compared with the existing scheme, the invention can improve the spatial resolution, and the number of the detectable signal sources is not limited by the number of the array elements of the array antenna, and even if the number of the signal sources is more than the number of the array elements, the signal sources can be detected correctly. In addition, the target information source detection method provided by the invention has no limitation on the form of the antenna, and is applicable to any form of array direction-finding system.
Drawings
In order to more clearly illustrate the technical solution of the present embodiment, the drawings needed to be used in the description of the embodiment will be briefly introduced below, and it is obvious that the drawings in the following description are one embodiment of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic block diagram of a process of a target source detection method based on an array antenna according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
The invention adopts a method of two-time searching, power scanning is used for the first time, and the approximate direction and the number of the information sources are determined; and then partitioning the coverage area according to the received power map, respectively performing second search on each cell, and calculating the accurate information source direction in each cell by adopting an MUSIC algorithm for the second time.
As shown in fig. 1, the present invention provides a target source detection method based on an array antenna, which includes the following steps:
And 2, changing a forming weight, namely changing the amplitude and the phase of an excitation signal of each array element of the array antenna, so that the beam direction of the array antenna can rotate according to a certain stepping angle. The step angle value should be determined by the beam width, and may be equal to half the beam width or equal to the beam width.
And 3, when the wave beam rotates, calculating the power of the received signal once when the wave beam rotates for one angle. The power calculation formula is represented as P-I2+Q2I is the in-phase carrier signal and Q is the quadrature carrier signal.
And 4, judging the number and the direction of approximate target information sources according to the received signal power calculated in the wave beam rotating process, and dividing the coverage range of the array antenna into K cells according to the initially judged information source direction. Here, K is determined by the degree of source dispersion or aggregation, and the sources with closer aggregation are divided into a cell. Generally, K should be less than 5, otherwise the amount of calculation is too large, and the real-time performance of the algorithm is reduced. When dividing cells, each power peak should be divided into different cells as much as possible.
And 5, enabling the wave beam to point to a cell K (the K-th cell, wherein K is more than or equal to 1 and less than or equal to K), and calculating a covariance matrix Rx of the K-th cell according to the received signals. When the wave beam is directed to the cell k, the weight is calculated by the wave beam forming algorithm, so that the radiation pattern is directed to the target cell. The covariance matrix of the received signal is calculated as:
here, L is a sampling fast beat number of data, H represents a conjugate transpose matrix, X is data received by the array antenna, X is an M × L-dimensional vector, and M is an array element number of the array antenna. The dimension of the final covariance matrix Rx is M x M.
And 6, performing characteristic decomposition on the covariance matrix, arranging characteristic values from large to small, and obtaining a corresponding characteristic vector matrix. By constructing an orthogonal matrix, a series of orthogonal operations are carried out on the covariance matrix and the identity matrix, so that the covariance matrix is transformed into an approximate diagonal matrix, and the elements on the diagonal of the diagonal matrix are the eigenvalues of the covariance matrix because the eigenvalues of the matrix are unchanged after the orthogonal operations.
The construction method of the orthogonal matrix comprises the following steps:
s1, where m is 1 and n is m + 1;
s2, constructing an orthogonal matrix P as follows:
in the above formula
S3 calculating R ═ PRPH，E'＝EPHWhere H denotes a conjugate transpose matrix, R 'is a covariance matrix after the current iteration, E' is an identity matrix after the current iteration, and E is an identity matrix.
S4, if n is equal to n +1, go back to S2; if n is larger than M, the next step is carried out;
s5, changing M to M +1, and returning to S2 if M is not greater than M; if M is larger than M, carrying out the next step;
s6, calculating the sum of squares of absolute values of off-diagonal elements of the covariance matrix, if the value is less than E, ending iterative calculation, wherein the diagonal elements of the covariance matrix are characteristic values of the covariance matrix, and each column vector of the unit matrix E is a corresponding characteristic vector; if the calculated value is greater than e, go back to S1 for the next iteration. Where e is the iteration error, e can be 10-5。
And 7, calculating to obtain a spatial spectrum of the signals according to the MUSIC algorithm, searching for a maximum value point in the spatial spectrum, and determining the accurate number and the orientation of the signals. Here the spatial spectrum is calculated as:
a (θ) is a guide vector, ENRepresenting a noise subspace, ENConsisting of a feature vector representing the feature values of the noise.
Step 8, making K equal to K +1, if K < equalto K, returning to the step 5 for calculation, otherwise, directly going to the next step;
and 9, integrating the calculation results of the K times, and performing summary processing to obtain the final accurate direction of the target information source. Here, whether there is a source with repeated calculation in the adjacent cell is analyzed, and the source is removed, and finally the final result is obtained.
The target information source detection method based on the array antenna provided by the embodiment of the invention at least comprises the following technical effects:
the invention combines the beam forming technology and the MUSIC algorithm to realize the target information source detection of the array antenna, and compared with the target detection by using beam scanning, the invention can overcome the problems of larger target range, ambiguity and low pointing precision caused by the beam width; compared with the space spectrum estimation for target detection, the method can avoid the problem that the space spectrum estimation information source is inaccurate or omitted when the wireless environment is complex. The invention adopts a method of twice searching, has simple principle, can improve the accuracy of calculation, and particularly can overcome the problem of information source omission caused by multipath signals. In summary, compared with the existing scheme, the invention can improve the spatial resolution, and the number of the detectable signal sources is not limited by the number of the array elements of the array antenna, and even if the number of the signal sources is more than the number of the array elements, the signal sources can be detected correctly. In addition, the target information source detection method provided by the invention has no limitation on the form of the antenna, and is applicable to any form of array direction-finding system.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to examples, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (9)
1. A target information source detection method based on an array antenna is characterized by comprising the following steps:
preliminarily judging the number and the direction of target information sources by a beam forming technology, and dividing an antenna coverage area into a plurality of cells according to received signal power obtained in the beam rotating process;
enabling the wave beams to point to a plurality of cells in sequence, obtaining a spatial spectrum of signals in each cell through an MUSIC algorithm, and determining the number and the direction of target information sources in each cell;
summarizing the calculation results of the cells, and obtaining the accurate number and the accurate direction of the target information source after comprehensive treatment;
the method specifically comprises the following steps:
(1) according to the arrangement structure of each array element of the array antenna, a beam forming weight is obtained by using a beam forming algorithm, so that a radiation pattern of the array antenna is a narrow beam;
(2) changing the shaped weight value to rotate the direction of the wave beam of the array antenna;
(3) calculating the received signal power once when the wave beam rotates for every angle;
(4) preliminarily judging the number and the orientation of target information sources according to the received signal power obtained by calculation in the beam rotation process, and dividing the coverage area of the array antenna into K cells according to the preliminarily judged information source orientation;
(5) enabling the wave beam to point to a kth cell, and calculating a covariance matrix of the kth cell according to the received signals;
(6) performing characteristic decomposition on the covariance matrix, arranging characteristic values from large to small, and obtaining a corresponding characteristic vector matrix;
(7) calculating according to an MUSIC algorithm to obtain a spatial spectrum of a signal in a kth cell, searching a maximum value point in the spatial spectrum, and determining the number and the direction of target information sources in the kth cell;
(8) k is k + 1; if K < ═ K, returning to the step (5) and calculating the next cell; if K is larger than K, ending the circulation;
(9) and (5) integrating the calculation results of the K times, and performing summary processing to obtain the final accurate direction of the target information source.
2. The method for detecting target source based on array antenna as claimed in claim 1, wherein the steps (1) and (2) are implemented as follows:
calculating a forming weight of a beam according to a beam forming algorithm, wherein the forming weight is used for controlling the amplitude and the phase of an excitation signal of each array element, so that a radiation pattern of the array antenna is a narrow beam; and the amplitude and the phase of the excitation signal are changed by changing the forming weight, so that the beam pointing rotation of the array antenna is controlled.
3. The method as claimed in claim 1, wherein the received signal power in step (4) is calculated according to formula P ═ I2+Q2Wherein, I is an in-phase carrier signal and Q is a quadrature carrier signal.
4. The method for target source detection based on array antenna as claimed in claim 1, wherein K in step (4) is less than 5.
5. The method for target source detection based on array antenna as claimed in claim 1, wherein the covariance matrix in step (5) is calculated by the following formula:
wherein, L is the sampling fast beat number of the data, H represents the conjugate transpose matrix, and X is the data received by the array antenna.
6. The method for target source detection based on array antenna as claimed in claim 1, wherein the eigenvalue decomposition of step (6) is implemented by orthogonal operation, and the covariance matrix is transformed into a diagonal matrix by multiple iterations.
7. The method for detecting target source based on array antenna as claimed in claim 6, wherein the step (6) is implemented by:
s1, where m is 1 and n is m + 1;
s2, constructing an orthogonal matrix P as follows:
in the above formula
rmmM rows and m columns of elements, r, representing the covariance matrixnmAn n row and m columns of elements representing a covariance matrix;
s3 calculating R ═ PRPH，E'＝EPHH is a conjugate transpose matrix, R 'is a covariance matrix after the iteration, E' is an identity matrix after the iteration, and E is an identity matrix;
s4, if n is equal to n +1, go back to S2; if n is larger than M, the next step is carried out;
s5, changing M to M +1, and returning to S2 if M is not greater than M; if M is larger than M, carrying out the next step;
s6, calculating the square sum of absolute values of off-diagonal elements of the covariance matrix, and if the square sum is less than e, finishing iterative calculation; if the sum of squares is greater than e, go back to S1 to enter the next iteration; wherein e is an iteration error, and e is 10-5。
8. The method for target source detection based on array antenna of claim 1, wherein the MUSIC spatial spectrum calculation formula in step (7) is:
where a (θ) is a steering vector, H is a conjugate transpose matrix, ENRepresenting the noise subspace.
9. The method of claim 1, wherein the step (9) comprises analyzing whether there are any repeatedly calculated sources in the neighboring cells; and if the information source of the repeated calculation exists, removing the repeated calculation data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810310821.3A CN108761381B (en) | 2018-04-09 | 2018-04-09 | Target information source detection method based on array antenna |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810310821.3A CN108761381B (en) | 2018-04-09 | 2018-04-09 | Target information source detection method based on array antenna |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108761381A CN108761381A (en) | 2018-11-06 |
| CN108761381B true CN108761381B (en) | 2021-05-04 |
Family
ID=63981506
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810310821.3A Active CN108761381B (en) | 2018-04-09 | 2018-04-09 | Target information source detection method based on array antenna |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108761381B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109188344B (en) * | 2018-08-23 | 2020-11-27 | 北京邮电大学 | Estimation method for source number and incoming wave direction angle based on mutual cyclic correlation MUSIC algorithm in impulse noise environment |
| CN109787670B (en) * | 2019-01-15 | 2020-09-29 | 北京邮电大学 | Array antenna beam forming system capable of drawing directional diagram |
| CN110690930B (en) * | 2019-09-27 | 2020-12-15 | 清华大学 | Information source number detection method and device |
| CN113133022B (en) * | 2019-12-31 | 2022-07-01 | 中国移动通信集团重庆有限公司 | Download rate improving method and system based on MIMO multipath construction |
| CN111983634B (en) * | 2020-08-26 | 2023-07-21 | 中国科学院半导体研究所 | Three-dimensional radar and method for non-uniform single line scanning for railway monitoring |
| CN113094775B (en) * | 2021-04-02 | 2022-12-09 | 北京邮电大学 | Arbitrary wave beam micro-shaping tool of antenna array and implementation method |
| CN113093167A (en) * | 2021-04-19 | 2021-07-09 | 成都安智杰科技有限公司 | Target direction finding method and device |
| CN113938172B (en) * | 2021-09-18 | 2024-03-26 | 西北大学 | Method for aligning signal beam forming with passive sensor |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003004834A (en) * | 2001-04-27 | 2003-01-08 | Mitsubishi Electric Inf Technol Center Europ Bv | Method for estimating direction of arrival of signal |
| CN1474616A (en) * | 2002-08-08 | 2004-02-11 | 华为技术有限公司 | Expected signal initial DOA evaluation, DOA tracing and intelligent antenna novel method |
| WO2008105748A1 (en) * | 2007-02-26 | 2008-09-04 | Temel Engin Tuncer | Method and apparatus for the joint detection of the number of signal sources and their direction of arrivals |
| JP4784976B2 (en) * | 2005-09-02 | 2011-10-05 | Ｋｄｄｉ株式会社 | Radio wave arrival direction estimation device, radio wave arrival direction estimation program, and recording medium |
| CN103731189A (en) * | 2014-01-08 | 2014-04-16 | 桂林电子科技大学 | Conformal antenna array dynamic subarray partitioning method and direction of arrival estimation method |
| CN106291451A (en) * | 2016-08-17 | 2017-01-04 | 河海大学 | DoA method of estimation based on multiple signal classification group delay algorithm |
| CN107037398A (en) * | 2017-06-23 | 2017-08-11 | 电子科技大学 | A kind of two-dimentional MUSIC algorithms estimate the parallel calculating method of direction of arrival |
-
2018
- 2018-04-09 CN CN201810310821.3A patent/CN108761381B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003004834A (en) * | 2001-04-27 | 2003-01-08 | Mitsubishi Electric Inf Technol Center Europ Bv | Method for estimating direction of arrival of signal |
| CN1474616A (en) * | 2002-08-08 | 2004-02-11 | 华为技术有限公司 | Expected signal initial DOA evaluation, DOA tracing and intelligent antenna novel method |
| JP4784976B2 (en) * | 2005-09-02 | 2011-10-05 | Ｋｄｄｉ株式会社 | Radio wave arrival direction estimation device, radio wave arrival direction estimation program, and recording medium |
| WO2008105748A1 (en) * | 2007-02-26 | 2008-09-04 | Temel Engin Tuncer | Method and apparatus for the joint detection of the number of signal sources and their direction of arrivals |
| CN103731189A (en) * | 2014-01-08 | 2014-04-16 | 桂林电子科技大学 | Conformal antenna array dynamic subarray partitioning method and direction of arrival estimation method |
| CN106291451A (en) * | 2016-08-17 | 2017-01-04 | 河海大学 | DoA method of estimation based on multiple signal classification group delay algorithm |
| CN107037398A (en) * | 2017-06-23 | 2017-08-11 | 电子科技大学 | A kind of two-dimentional MUSIC algorithms estimate the parallel calculating method of direction of arrival |
Non-Patent Citations (2)
| Title |
|---|
| A Method for Signal Source Number Estimation Based on MUSIC Algorithm;Zhiqiang Qiu et al.;《2015 IEEE》;20151231;第344-346页 * |
| 基于特征波束形成的强弱信号波达方向与信源数估计方法;徐亮等;《电子与信息学报》;20110228;第33卷(第2期);第321-325页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108761381A (en) | 2018-11-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108761381B (en) | Target information source detection method based on array antenna | |
| CN109061554B (en) | Target arrival angle estimation method based on dynamic update of spatial discrete grid | |
| CN106483493B (en) | A kind of sparse double parallel linear array and estimating two-dimensional direction-of-arrival method | |
| CN106019234B (en) | The low computation complexity estimating two-dimensional direction-of-arrival method of inverted-L antenna battle array | |
| CN110673086A (en) | Two-dimensional angle super-resolution method based on digital array radar | |
| CN102565790A (en) | Self-adaptive sum-difference angle measurement method for plane phased array | |
| CN113835063B (en) | Unmanned aerial vehicle array amplitude and phase error and signal DOA joint estimation method | |
| CN107656239B (en) | Coherent information source direction finding method based on polarization sensitive array | |
| CN104020440B (en) | Interfere the two-dimentional direction of arrival estimation method of formula linear array based on L-type | |
| CN106526531A (en) | Improved propagation operator two-dimensional DOA estimation algorithm based on three-dimensional antenna array | |
| CN111965598A (en) | Radiation source positioning method by using non-uniform array | |
| CN112130111A (en) | Single-snapshot two-dimensional DOA estimation method for large-scale uniform cross array | |
| Xu et al. | Fast direction of arrival estimation for uniform circular arrays with a virtual signal subspace | |
| CN111352063A (en) | Two-dimensional direction finding estimation method based on polynomial root finding in uniform area array | |
| CN112255629A (en) | Sequential ESPRIT two-dimensional incoherent distribution source parameter estimation method based on combined UCA array | |
| CN110376547B (en) | Near-field source positioning method based on second-order statistics | |
| CN108872930A (en) | Extend aperture two dimension Joint diagonalization DOA estimation method | |
| CN105572629B (en) | A kind of two-dimentional direction-finding method of low computational complexity suitable for General Cell structure | |
| CN112327292B (en) | DOA estimation method for two-dimensional sparse array | |
| CN114460531A (en) | Uniform linear array MUSIC spatial spectrum estimation method | |
| CN112363108A (en) | Signal subspace weighted super-resolution direction-of-arrival detection method and system | |
| CN110907888A (en) | Rapid polarization-DOA estimation method based on beam forming | |
| CN113341371B (en) | DOA estimation method based on L array and two-dimensional ESPRIT algorithm | |
| CN113821907B (en) | Amplitude and phase automatic calibration method for large planar antenna array system | |
| CN112946615B (en) | Phased array system amplitude and phase error correction method |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201109 Address after: 430205 No.1 tanhu 2nd Road, Canglong Island, Jiangxia Economic Development Zone, Wuhan City, Hubei Province Applicant after: Wuhan Hongxin Technology Development Co.,Ltd. Address before: 430073 Hubei province Wuhan Dongxin East Lake high tech Development Zone, Road No. 5 Applicant before: Wuhan Hongxin Telecommunication Technologies Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240524 Address after: 430205 No.1 tanhu 2nd Road, Canglong Island, Jiangxia District, Wuhan City, Hubei Province Patentee after: CITIC Mobile Communication Technology Co.,Ltd. Country or region after: China Address before: 430205 No.1 tanhu 2nd Road, Canglong Island, Jiangxia Economic Development Zone, Wuhan City, Hubei Province Patentee before: Wuhan Hongxin Technology Development Co.,Ltd. Country or region before: China |
|
| TR01 | Transfer of patent right |