CN114563756A - Linear interpolation method for direction finding sample of dual-channel correlation interferometer - Google Patents
Linear interpolation method for direction finding sample of dual-channel correlation interferometer Download PDFInfo
- Publication number
- CN114563756A CN114563756A CN202210032683.3A CN202210032683A CN114563756A CN 114563756 A CN114563756 A CN 114563756A CN 202210032683 A CN202210032683 A CN 202210032683A CN 114563756 A CN114563756 A CN 114563756A
- Authority
- CN
- China
- Prior art keywords
- finding
- phase difference
- antenna
- channel
- sample
- 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
- 238000000034 method Methods 0.000 title claims abstract description 28
- 239000013598 vector Substances 0.000 claims abstract description 38
- 238000004364 calculation method Methods 0.000 claims abstract description 26
- 239000011159 matrix material Substances 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000012935 Averaging Methods 0.000 claims description 2
- 230000017105 transposition Effects 0.000 claims 1
- 238000013102 re-test Methods 0.000 abstract description 2
- 238000013480 data collection Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 12
- 238000006243 chemical reaction Methods 0.000 description 7
- 238000005259 measurement Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000010287 polarization Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000003321 amplification Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 230000005672 electromagnetic field Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 230000009466 transformation Effects 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
- G01S3/14—Systems for determining direction or deviation from predetermined direction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The direction finding sample linear interpolation method of the dual-channel correlation interferometer disclosed by the invention has the advantages of high direction finding accuracy and high direction finding speed. The invention is realized by the following technical scheme: calculating phase differences between IQ signals received by a reference antenna unit and other antenna units based on IQ signals acquired by a dual-channel direction-finding receiver, and forming a direction-finding vector according to the calculated phase differences; calculating a full phase difference sample according to the calculation relationship between the phase differences, forming a direction finding vector and a target function model under a direction finding system, and forming a complete direction finding sample database through linear interpolation; and reading a phase difference data matrix of a corresponding frequency point of a direction finding sample database according to the frequency of the direction finding vector, and performing correlation calculation on the measured direction finding vector and the read phase difference data matrix, wherein the position with the maximum correlation value is used as an estimated value of the direction. The invention solves the problems of low efficiency of data collection retest and phase difference sample library establishment in the prior art.
Description
Technical Field
The invention relates to a double-channel correlation interference direction finding technology in the technical field of radio direction finding, in particular to a double-channel correlation interferometer direction finding method based on linear interpolation of a measurement sample.
Background
With the rapid development of radio communication industry, radio direction finding technology with increasingly tight radio spectrum resources has more and more important application in the fields of communication, radar, sonar and the like. Radio direction finding is a science closely related to radio engineering, radio electronics, geophysics, radio communication technology, computer technology, digital technology. The physical basis of the direction measurement method of radio signals is the far-field propagation characteristic of electromagnetic waves. The planar or spherical electromagnetic wave in the far field region has the following characteristics 1. is a transverse electromagnetic wave, i.e., the electromagnetic field (intensity) vector is only in the direction perpendicular to the propagation vector. In free space, the direction of the propagation vector is the same as the direction of energy propagation, i.e., the direction of the poynting vector. 2. The normal vector of the equiphase plane is also in the same direction as the propagation vector. It is therefore evident that there are two ways to determine the direction of the propagation vector, measuring the direction of the field strength (or polarization) and measuring the position of the phase plane space (or the like). Therefore, one also distinguishes direction finding methods into amplitude (or polarization) and phase direction finding regimes (techniques). From the technical development process, there is a direction-finding system of amplitude (or polarization) firstly, and then a phase direction-finding system. According to the technical development, the direction-finding system of the (ratio) amplitude method is simpler in hardware implementation, so that the accuracy of the measurement direction is lower. With the maturity of the dual-channel receiver technology, the phase direction-finding system is applied, and moreover, the result of high direction-finding accuracy is shown. The correlation interferometer technique in the phase regime is one of the phase techniques. The direction finding of the dual-channel correlation interferometer is realized by a direction-finding antenna array and a receiver. The correlation interferometer is a novel digital device for realizing direction finding by measuring the complex voltage of an antenna array and adopting a correlation technique, has the advantages of high precision, high sensitivity and the like, but has the defects of large algorithm computation amount, long time consumption and difficulty in real-time direction finding and positioning of short-time communication equipment, and is required to carry out vector correlation computation in sequence and carry out maximum value search in an omnidirectional angular range. The direction-finding processor is composed of a high-speed ADC, an FPGA and a DSP, is of a dual-channel structure, is basically the same in structure and is composed of an orthogonal down-conversion unit, a high-speed sampling unit, a preprocessing unit, a direction-finding processor and the like, and the two channels of the direction-finding processor are shared. The direction-finding channel preprocessing unit is an orthogonal down-conversion unit, the orthogonal down-conversion unit completes zero intermediate frequency conversion of the intermediate frequency signal, the input of the orthogonal down-conversion unit is the intermediate frequency signal, and the output of the orthogonal down-conversion unit is IQ orthogonal zero intermediate frequency. The output is divided into two paths, one path is sampled at high speed, and the other path is used for monitoring by a monitoring point. The traditional interferometer has higher direction-finding precision; the antenna arrangement mode is flexible, and the direction finding precision can be further improved by adopting a long-and-short base line combination mode. The disadvantage is that the direction-finding range can not cover all directions; there is no simultaneous resolution of multiple signals. In the measurement process of the correlation interferometer technology, at least two (complex) signal voltages (amplitudes and/or phase differences) of the unit antennas need to be measured each time, so that at least two correlation receivers or one dual-channel receiver are also needed, and then correlation operation and interpolation calculation are performed on sample data of samples established at appropriate frequency and azimuth intervals to obtain arrival angles of incoming waves. The equipment of the related interferometer technology of the dual-channel or multi-channel system needs less sample data of the direction-finding antenna, and can carry out direction finding even under the condition of larger base line without the help of the sample data of the direction-finding antenna.
The radio direction finding system generally comprises four parts of a direction finding antenna, an input matching unit, a receiver and a direction information processing display. The direction-finding antenna is a detector of electromagnetic energy, which inducts and receives the electromagnetic energy propagated in the air, and converts the electromagnetic energy into an alternating current signal together with information such as amplitude, phase, arrival time and the like so as to feed the alternating current signal to a receiver; the input matching unit realizes the matching transmission and necessary transformation from the antenna to the receiver; the receiver has the functions of frequency selection, down conversion, distortion-free amplification and signal demodulation; detecting, comparing, calculating, processing and displaying the azimuth information. The traditional interferometer direction-finding technology is to receive the same radio signal by a plurality of antennae and measure the incident direction of the radio wave by comparing the phase difference of the signals between the antennae. That is, when the same phase wave front of the radiation source electromagnetic wave in the propagation direction reaches the spatially separated sensors (usually a multi-element antenna array), the direction is measured by the generated different phase responses and the phase relation between the phase responses and the phase relations. The traditional interferometer is based on the phase distribution of an electric field of incident waves acquired by antenna array elements, and when the incident waves are plane waves, the phase distribution is determined by the relative positions of the antenna array elements. In fact, the wave front is distorted and distorted due to the mutual coupling between the antenna array elements and the influence of the antenna support, and thus, a direction-finding error is caused. In this case, it is often difficult to reduce the direction-finding error by eliminating or reducing these distortions and distortions. For example, to reduce mutual coupling of antenna elements, the array element spacing should be designed to be larger, but as will be appreciated from the above discussion, a set of baselines smaller than 1/2 wavelengths are necessary to eliminate ambiguity, thereby limiting the spacing to some extent. Thus limiting the extension of the operating frequency range for a given antenna array. The problem can be solved by using a correlation interferometer. The correlation means comparison, that is, the direction of the incident wave is obtained by comparing the degree of similarity between the acquired phase distribution of the incident wave and the phase distribution of the incoming wave at each azimuth and each frequency that have been actually stored. The direction-finding method of the dual-channel correlation interferometer is suitable for HF and above frequency bands, and has good anti-interference capability on electromagnetic wave reflection effect and equipment errors. And calculating the phase difference by using IQ data received by the direction-finding antenna array and the receiver as original data, and constructing a direction-finding vector by using the calculation relationship between the phase differences. And extracting the sample information of the frequency point in the direction finding phase difference sample base, and carrying out correlation calculation, wherein the angle value corresponding to the maximum correlation value is the direction obtained by direction finding. In order to meet the requirement of good direction finding precision of the correlation interferometers, each correlation interferometer needs to be subjected to repeated collection measurement, and an independent phase difference sample library is established. With the increase of the measuring frequency, the collection retest in the existing correlation interferometer direction finding technology collects the data in 5MHz stepping, the efficiency of establishing a phase difference sample base is low, and the collection of each frequency point in 5 degrees stepping in each direction has huge workload and low efficiency. The problem of low efficiency in establishing the direction finding sample library needs to be solved urgently.
Disclosure of Invention
The invention aims to solve the problems of low efficiency of repeated data acquisition and phase difference sample library establishment in the existing correlation interferometer direction finding technology, and provides a two-channel correlation interferometer direction finding method which is high in direction finding accuracy, high in direction finding speed, sensitive in direction finding and strong in anti-interference capacity and is based on linear interpolation of direction finding samples, so that the problems of low efficiency of repeated data acquisition and phase difference sample library establishment in the existing correlation interferometer direction finding technology are solved.
The above object of the present invention can be achieved as follows: a linear interpolation method for direction-finding samples of a dual-channel correlation interferometer is characterized by comprising the following steps:
based on intermediate frequency output signals recorded by the two-channel direction finding receiver, different antennas are opened through each channel, IQ signals acquired at the same time are recorded, phase differences between IQ signals received by a reference antenna unit and other antenna units are calculated, phase differences between other antenna units are calculated according to the calculated phase differences, and direction finding vectors are formed; carrying out correlation operation and interpolation calculation on sample data sampled and established based on a direction-finding principle of a correlation interferometer to obtain an arrival angle of an incoming wave, calculating a full-phase difference sample according to a calculation relation between phase differences, and forming a direction-finding vector and a target function model under a direction-finding system; through linear interpolation, corresponding weights are assigned to phase difference data matrixes of front and rear frequency points respectively, a direction-finding sample database is expanded, and a complete direction-finding sample database is formed; and reading a phase difference data matrix of a corresponding frequency point of the direction finding sample database according to the frequency of the direction finding vector, and performing correlation calculation on the direction finding vector and the sample in the direction finding sample database, wherein the position with the maximum correlation value is used as an estimation value of the direction.
Compared with the prior art, the invention has the following beneficial effects:
the invention calculates the phase difference of the signals based on IQ data collected by an antenna array and a receiver to form a direction-finding vector, and solves the incoming wave direction of the signals through correlation calculation, thereby improving the direction-finding performance of a correlation interferometer. In the whole VHF/UHF (20-3000 MHz) band, the total frequency can reach 1 RMS; the direction finding accuracy is high. The direction-finding sensitivity can reach 1-10V/m or even higher in all wave bands; if a multi-channel receiver is adopted in the system, the minimum residence time of signals can be less than 1ms, the direction finding speed is high, and the minimum residence time can also reach about 1ms when a dual-channel receiver is adopted.
The interference immunity of the invention to the same channel is 3-5 dB, and the direction-finding error caused by multipath interference is several times lower than the error of the amplitude direction-finding system and the Doppler system. The anti-interference capability is strong. The method for linear interpolation by using samples among frequency points expands a phase difference sample library, greatly reduces the workload of repeated measurement of the number of the relevant interferometer, improves the number receiving efficiency, is easy to popularize and use, and has better practical value.
Drawings
The invention will be further described with reference to the following drawings and detailed description:
FIG. 1 is a schematic view of a linear interpolation process of a direction-finding sample of a two-channel correlation interferometer of the present invention;
FIG. 2 is a schematic diagram of an IQ signal acquisition structure;
FIG. 3 is a schematic flow chart of composing a direction finding vector;
in order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described and illustrated in detail with reference to the accompanying drawings and embodiments. It should be understood that the exemplary embodiments and descriptions thereof are provided for illustrating the present invention and not for limiting the same.
Detailed Description
See fig. 1. The method for linear interpolation of the direction-finding sample mainly comprises the following steps of (1) recording IQ signals acquired simultaneously by using a dual-channel direction-finding receiver. (2) And calculating phase differences between IQ signals received by the reference antenna unit and other antenna units except the reference antenna unit, and calculating the phase differences between the other antenna units by using the calculated initial phase differences to form a direction-finding vector. (3) And expanding a direction-finding sample database through nonlinear interpolation, and reading the sample database of the corresponding frequency point. (4) And (4) carrying out correlation calculation on the direction-finding vector in the step (2) and the sample database in the step (3), and taking the position with the maximum correlation value as an estimated value of the direction. According to the invention, based on the above description, based on the intermediate frequency output signal recorded by the dual-channel direction finding receiver, different antennas are opened through each channel, IQ signals acquired at the same time are recorded, phase differences between the IQ signals received by the reference antenna unit and other antenna units are calculated, and phase differences between other antenna units are calculated according to the calculated phase differences to form a direction finding vector; carrying out correlation operation and interpolation calculation on sample data sampled and established based on a direction-finding principle of a correlation interferometer to obtain an arrival angle of an incoming wave, calculating a full phase difference sample according to a calculation relation between phase differences, forming a direction-finding vector and a target function model under a direction-finding system, assigning corresponding weights to phase difference data matrixes of front and rear frequency points through linear interpolation, expanding a direction-finding sample database, and forming a complete direction-finding sample database; and reading a phase difference data matrix of a corresponding frequency point of a direction finding sample database according to the frequency of the direction finding vector, and carrying out correlation calculation on the direction finding vector and the sample in the direction finding sample database, wherein the position with the maximum correlation value is used as an estimated value of the direction.
And the target function model extracts a phase difference data matrix in the sample database, reads sample data with the start frequency of 20MHz, the cut-off frequency of 3000MHz, the stepping frequency of 10MHz and the stepping angle of 5 degrees from the direction-finding sample database, and has a data structure of 36 × 72 × 298. And the target function model assigns 0.5 weight to the phase difference data matrixes of the front and the rear frequency points through linear interpolation, and the phase difference data matrix of the middle frequency point is calculated through interpolation, wherein the data structure after interpolation is 36 x 72 x 596.
The objective function model respectively calculates a sine value and a cosine value of the phase difference V and a sine value and a cosine value of a phase difference sample value of a frequency point corresponding to each angle of the incoming wave direction according to each incident angle phi 'and each arrival angle phi' of the incoming wave direction to obtain a phase difference V synthetic direction-finding vector V and an incident angle direction-finding vector phi corresponding to each angle phase difference sample value of the frequency point incident angle phi corresponding to V:
φ＝[sin(φ’0-1)，cos(φ’0-1)，…，sin(φ’7-8)，cos(φ’7-8)]。
the objective function model estimates the correlation value at the maximum incoming wave direction according to correlation calculation to obtain an estimation value C at the maximum incoming wave direction correlation value:
where T represents the transpose of V.
See fig. 2. The double-channel receiver adopts a multi-array element antenna to receive external radio wave signals, captures and analyzes the radio wave signals, the signals enter two radio frequency channels and two receiving channels of the double-channel receiver after being switched by an antenna switch, one of the two receiving channels is connected with a reference antenna unit, the other receiving channel is connected with other direction-finding antenna units in a mode of a direction-finding antenna selection switch, omni-directional direction finding is carried out after multiple times of antenna switching, time-sharing direction-finding signals are sent to two paths of analog-to-digital converters (ADC) for sampling in a time-sharing working mode, the collected signals are converted into intermediate frequency signals, phases and phase differences of the signals received by different antennas are calculated, and finally relevant interference direction-finding processing is carried out to obtain azimuth angles of the signals.
The antenna array is a uniform circular array formed by 0-8 antenna units, a channel 1 is communicated with the antenna No. 0, and acquired IQ data is I01、Q01、I02、Q02…I0n、Q0nSimultaneously, the channel 2 is opened to the No. 1-8 antenna, the channel 1 is opened to the No. 1 antenna, the channel 2 is opened to the No. 8 antenna, and IQ data are recorded as I11、Q11、I12、Q12…I1n、Q1n， I81、Q81、I82、Q82…I8n、Q8nWherein n is the number of IQ data. The acquired IQ data is
I11、Q11、I12、Q12…I1n、Q1n，I21、Q21、I22、Q22…I2n、Q2n，
I31、Q31、I32、Q32…I3n、Q3n，I41、Q41、I42、Q42…I4n、Q4n，
I51、Q51、I52、Q52…I5n、Q5n，I61、Q61、I62、Q62…I6n、Q6n，
I71、Q71、I72、Q72…I7n、Q7n，I81、Q81、I82、Q82…I8n、Q8n。
See fig. 3. After reading the IQ data recorded by each antenna, the receiver reads IQ data of 0 th and 1 st antenna elements, IQ data … of 0 th and 8 th antenna elements of 0 th and 2 nd antenna elements, and adopts a calculation formula:
calculating phase difference between corresponding antennas, and dividing n antennas
Averaging to obtain
Similarly, the IQ data is calculated according to the record
The receiver calculates the phase difference among the antennas according to the calculation relationship among the phase differences, calculates the phase difference of the arrival angle of the incoming wave among the antennas by adopting the following phase difference calculation formula, calculates the full phase difference samples, and combines the samples into a direction finding vector, namely 36 phase differences, wherein the calculation formula is as follows:
The phase difference calculated by the receiver is 36 phase differences, the formed direction-finding vector is,
Claims (10)
1. a linear interpolation method for direction-finding samples of a dual-channel correlation interferometer is characterized by comprising the following steps:
based on intermediate frequency output signals recorded by the two-channel direction finding receiver, different antennas are opened through each channel, IQ signals acquired at the same time are recorded, phase differences between IQ signals received by a reference antenna unit and other antenna units are calculated, phase differences between other antenna units are calculated according to the calculated phase differences, and direction finding vectors are formed; carrying out correlation operation and interpolation calculation on sample data sampled and established based on a direction-finding principle of a correlation interferometer to obtain an arrival angle of an incoming wave, calculating a full-phase difference sample according to a calculation relation between phase differences, and forming a direction-finding vector and a target function model under a direction-finding system; through linear interpolation, corresponding weights are respectively assigned to phase difference data matrixes of front and rear frequency points, a direction-finding sample database is expanded, and a complete direction-finding sample database is formed; and reading a phase difference data matrix of the direction finding sample database and frequency points corresponding to the direction finding vectors according to the frequency of the direction finding vectors, and performing correlation calculation on the direction finding vectors formed in the above way and samples in the direction finding sample database, wherein the position with the maximum correlation value is used as an estimated value of the direction.
2. The method for linear interpolation of direction-finding samples of a dual-channel correlation interferometer of claim 1, wherein: and extracting a phase difference data matrix in the sample database by the standard function model, reading sample data of which the starting frequency is 20MHz, the cut-off frequency is 3000MHz, the stepping frequency is 10MHz and the stepping angle is 5 degrees from the direction-finding sample database, and forming a data structure of 36 × 72 × 298.
3. The method for linear interpolation of direction-finding samples of a dual-channel correlation interferometer of claim 1, wherein: and the target function model assigns a weight of 0.5 to the phase difference data matrix of the front and rear frequency points through linear interpolation, and interpolates and calculates the phase difference data matrix of the middle frequency point, wherein the data structure after interpolation is 36 × 72 × 596.
4. The method for linear interpolation of direction-finding samples of a dual-channel correlation interferometer of claim 1, wherein: the objective function model respectively calculates the sine value and the cosine value of the phase difference V and the sine value and the cosine value of the phase difference sample value of the frequency point corresponding to each angle of the incoming wave direction according to each incident angle phi 'and each arrival angle phi' of the incoming wave direction to obtain a phase difference V synthesized direction-finding vector V and an incident angle direction-finding vector phi corresponding to each angle phase difference sample value of the frequency point incident angle phi corresponding to V:
Φ＝[sin(Φ’0-1)，cos(Φ’0-1)，…，sin(Φ′7-8)，cos(Φ′7-8)]。
5. the method of claim 4, wherein the linear interpolation is performed by using a two-channel correlation interferometer direction-finding sample: the objective function model estimates the correlation value at the maximum incoming wave direction according to correlation calculation to obtain an estimation value C at the maximum incoming wave direction correlation value:
where T denotes transposition.
6. The method for linear interpolation of direction-finding samples of a dual-channel correlation interferometer of claim 1, wherein: the double-channel receiver adopts a multi-array element antenna to receive external radio wave signals, captures and analyzes the radio wave signals, the signals enter two radio frequency channels and two receiving channels of the double-channel receiver after being switched by an antenna switch, one of the two receiving channels is connected with a reference antenna unit, the other receiving channel is connected with other direction-finding antenna units in a mode of a direction-finding antenna selection switch, all-around direction finding is carried out after antenna switching for many times, time-sharing direction-finding signals are sent to two paths of analog-to-digital converters (ADC) for sampling in a time-sharing working mode, the collected signals are converted into intermediate frequency signals, phases and phase differences of the signals received by different antennas are calculated, and finally relevant interference direction-finding processing is carried out to obtain azimuth angles of the signals.
7. The method for linear interpolation of direction-finding samples of a dual-channel correlation interferometer of claim 1, wherein: the antenna array is a uniform circular array formed by 0-8 antenna units, a channel 1 is communicated with the antenna No. 0, and acquired IQ data is I01、Q01、I02、Q02…I0n、Q0nSimultaneously, the channel 2 is opened to the No. 1-8 antenna, the channel 1 is opened to the No. 1 antenna, the channel 2 is opened to the No. 8 antenna, and IQ data are recorded as I11、Q11、I12、Q12…I1n、Q1n，I81、Q81、I82、Q82…I8n、Q8nWherein n is the number of IQ data.
8. The method for linear interpolation of direction-finding samples of a dual-channel correlation interferometer of claim 1, wherein: after reading the IQ data recorded by each antenna, the receiver reads IQ data of 0 th and 1 st antenna elements, IQ data … of 0 th and 8 th antenna elements of 0 th and 2 nd antenna elements, and adopts a calculation formula:
9. The method for linear interpolation of direction-finding samples of a dual-channel correlation interferometer of claim 1, wherein: the receiver calculates the phase difference among the antennas according to the calculation relationship among the phase differences, calculates the phase difference of the arrival angle of the incoming wave among the antennas by adopting the following phase difference calculation formula, calculates a full phase difference sample, and combines the full phase difference sample into a direction finding vector, wherein the calculation formula is as follows:
10. the method of claim 9, wherein the linear interpolation is performed by using a two-channel correlation interferometer direction-finding sample: the phase difference calculated by the receiver is 36 phase differences, the formed direction-finding vector is,
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210032683.3A CN114563756A (en) | 2022-01-12 | 2022-01-12 | Linear interpolation method for direction finding sample of dual-channel correlation interferometer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210032683.3A CN114563756A (en) | 2022-01-12 | 2022-01-12 | Linear interpolation method for direction finding sample of dual-channel correlation interferometer |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114563756A true CN114563756A (en) | 2022-05-31 |
Family
ID=81712278
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210032683.3A Pending CN114563756A (en) | 2022-01-12 | 2022-01-12 | Linear interpolation method for direction finding sample of dual-channel correlation interferometer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114563756A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115856765A (en) * | 2022-11-28 | 2023-03-28 | 中国电子科技集团公司第十研究所 | Direction finding correction method and device for improving direction finding precision |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106199503A (en) * | 2016-06-29 | 2016-12-07 | 成都中安频谱科技有限公司 | Correlation interferometer direction-finding method and device |
| CN107063477A (en) * | 2017-03-16 | 2017-08-18 | 中国科学院上海光学精密机械研究所 | Grating lateral shearing interference large-numerical aperture wave-front reconstruction method |
| CN107946778A (en) * | 2017-11-22 | 2018-04-20 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Ultrashort wave single channel direction estimation antenna array |
| CN108051772A (en) * | 2017-10-25 | 2018-05-18 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Width be combined measurement incoming wave azimuth information method |
| CN109581278A (en) * | 2018-12-03 | 2019-04-05 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | A kind of correlation interferometer direction-finding method of virtual aperture extension |
| CN109709512A (en) * | 2019-01-02 | 2019-05-03 | 成都华日通讯技术有限公司 | A kind of single station of unmanned plane detecting and unmanned plane detecting system |
| CN112946695A (en) * | 2021-03-01 | 2021-06-11 | 北京交通大学 | Satellite positioning suppression interference identification method based on singular value decomposition |
| CN113884977A (en) * | 2021-08-17 | 2022-01-04 | 中国电子科技集团公司第二十九研究所 | Correction method for one-dimensional interferometer direction finding cone effect |
-
2022
- 2022-01-12 CN CN202210032683.3A patent/CN114563756A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106199503A (en) * | 2016-06-29 | 2016-12-07 | 成都中安频谱科技有限公司 | Correlation interferometer direction-finding method and device |
| CN107063477A (en) * | 2017-03-16 | 2017-08-18 | 中国科学院上海光学精密机械研究所 | Grating lateral shearing interference large-numerical aperture wave-front reconstruction method |
| CN108051772A (en) * | 2017-10-25 | 2018-05-18 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Width be combined measurement incoming wave azimuth information method |
| CN107946778A (en) * | 2017-11-22 | 2018-04-20 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Ultrashort wave single channel direction estimation antenna array |
| CN109581278A (en) * | 2018-12-03 | 2019-04-05 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | A kind of correlation interferometer direction-finding method of virtual aperture extension |
| CN109709512A (en) * | 2019-01-02 | 2019-05-03 | 成都华日通讯技术有限公司 | A kind of single station of unmanned plane detecting and unmanned plane detecting system |
| CN112946695A (en) * | 2021-03-01 | 2021-06-11 | 北京交通大学 | Satellite positioning suppression interference identification method based on singular value decomposition |
| CN113884977A (en) * | 2021-08-17 | 2022-01-04 | 中国电子科技集团公司第二十九研究所 | Correction method for one-dimensional interferometer direction finding cone effect |
Non-Patent Citations (1)
| Title |
|---|
| 刘楚天: "宽带测向天线阵列及其算法实现" * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115856765A (en) * | 2022-11-28 | 2023-03-28 | 中国电子科技集团公司第十研究所 | Direction finding correction method and device for improving direction finding precision |
| CN115856765B (en) * | 2022-11-28 | 2024-05-10 | 中国电子科技集团公司第十研究所 | Direction finding correction method and device for improving direction finding precision |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108051772B (en) | Amplitude-phase combined method for measuring incoming wave azimuth information | |
| Shakeri et al. | Direction of arrival estimation using sparse ruler array design | |
| Lavate et al. | Performance analysis of MUSIC and ESPRIT DOA estimation algorithms for adaptive array smart antenna in mobile communication | |
| US5990834A (en) | Radar angle determination with music direction finding | |
| CN104914408B (en) | Frequency based on Chinese remainder theorem, DOA union measuring methods and device | |
| KR100336550B1 (en) | Direction finder and device for processing measurement results for the same | |
| CN103017728B (en) | Method for determining direction vector of antenna array in interference environment | |
| Slater et al. | Demonstration of an electrically small antenna array for UHF direction-of-arrival estimation | |
| CN108594164A (en) | A kind of planar array DOA estimation method and equipment | |
| RU2393498C2 (en) | Method of polarisation sensitive radio signal direction finding (versions) | |
| CN112487703A (en) | Underdetermined broadband signal DOA estimation method in unknown noise field based on sparse Bayes | |
| CN114428225B (en) | Multi-radiation source arrival angle measuring method and device based on quasi-matched filtering | |
| Feng et al. | Wireless channel parameter estimation algorithms: Recent advances and future challenges | |
| CN109597021A (en) | A kind of Wave arrival direction estimating method and device | |
| CN110208738B (en) | Signal frequency and two-dimensional DOA joint estimation method based on array modulation broadband converter | |
| CN114563756A (en) | Linear interpolation method for direction finding sample of dual-channel correlation interferometer | |
| Tayem et al. | Hardware implementation of a proposed Qr-Tls DOA estimation method and Music, ESPRIT Algorithms on Ni-Pxi platform | |
| CN111190135A (en) | Calibration method suitable for any array | |
| Wu et al. | Switched-element direction finding | |
| He et al. | DOA estimation of wideband signals based on iterative spectral reconstruction | |
| Ni et al. | Information-theoretic target localization with compressed measurement using FDA radar | |
| Shi et al. | Algorithm of signal processing with five-channel interferometer | |
| CN109061564B (en) | Simplified near-field positioning method based on high-order cumulant | |
| Cui et al. | Single-snapshot DOA estimation for uniform linear array | |
| RU2321014C2 (en) | Mode of direction finding and multi channel direction finder |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220531 |