CN113608215A - Wave number domain ArcSAR imaging method based on triangular sine equivalent resident phase point solution - Google Patents
Wave number domain ArcSAR imaging method based on triangular sine equivalent resident phase point solution Download PDFInfo
- Publication number
- CN113608215A CN113608215A CN202110684856.5A CN202110684856A CN113608215A CN 113608215 A CN113608215 A CN 113608215A CN 202110684856 A CN202110684856 A CN 202110684856A CN 113608215 A CN113608215 A CN 113608215A
- Authority
- CN
- China
- Prior art keywords
- expression
- phase
- rotation angle
- target
- radar
- 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.)
- Withdrawn
Links
- 238000003384 imaging method Methods 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 claims description 24
- 230000008569 process Effects 0.000 claims description 7
- 150000001875 compounds Chemical class 0.000 claims description 4
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 3
- 238000004590 computer program Methods 0.000 claims description 2
- 238000004422 calculation algorithm Methods 0.000 abstract description 32
- 230000004044 response Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 9
- 238000012545 processing Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000001427 coherent effect Effects 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000005526 G1 to G0 transition Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
- G01S13/904—SAR modes
- G01S13/9056—Scan SAR mode
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
- G01S13/9004—SAR image acquisition techniques
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
- G01S13/9004—SAR image acquisition techniques
- G01S13/9019—Auto-focussing of the SAR signals
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention belongs to the technical field of radar imaging, and discloses a wavenumber domain ArcSAR imaging method based on triangular sine equivalent resident phase point solving, which comprises the following steps: under the condition of not approximating the target slant distance, the echo data is implicitly replaced by using the principle of the resident phase, and a complete expression of the phase of the echo signal in a wave number domain is calculated and deduced; constructing a compensation function to realize phase error compensation according to the complete expression; and obtaining a polar coordinate focusing result through the inverse Fourier transform of the rotation angle direction, and obtaining a two-position space coordinate result through the interpolation of the polar coordinate-to-rectangular coordinate. The imaging method disclosed by the invention has the advantages that the residual error is small theoretically, the imaging method is suitable for the imaging of the near-distance and long-distance targets, the imaging precision is high, the algorithm time efficiency is close to the RDA, and the imaging precision and the time efficiency are considered.
Description
Technical Field
The invention belongs to the field of ground arc orbit scanning synthetic aperture radars with large visual field observation capability, and particularly relates to a wave number domain ArcSAR imaging method based on triangular sine equivalent resident phase point solving.
Background
The GB-SAR adopts a synthetic aperture radar imaging principle, a system platform of the GB-SAR is statically placed on the ground, radar signals can be actively transmitted and received to an observed area, and scene imaging within a range of several kilometers can be generally realized by utilizing received echo signals. GB-SAR systems fall into two categories: linear rail systems and circular arc rail systems. The GB-SAR system based on the circular arc orbit is called ArcSAR.
The disclosed ArcSAR imaging algorithms can be divided into three categories. The first is the Backprojection (BPA) algorithm, whose basic principle is to add distance to the compressed echo signal coherently in the two-dimensional time domain according to the arc orbit. The BP algorithm is characterized in that coherent accumulation is carried out point by point, and the method is suitable for various complex skew distance geometries. However, due to the point-by-point coherent accumulation processing, under the conditions of large field of view, long distance and high resolution, the number of scene grids to be processed becomes very large, and the execution efficiency of the BP algorithm is low. The second type is a range-doppler algorithm (RDA), the basic principle is that the range direction is focused by using pulse compression, the azimuth direction is transformed into a frequency domain, the range direction and the azimuth direction coupling are eliminated in the range-doppler domain through range migration correction, and in the general derivation process, the slant range is approximate to a second-order term of a rotation angle. Due to the gradient approximation of the algorithm, the near target usually cannot be focused well (the near range depends on different system parameters), and in addition, the residual distance space-variant error cannot be removed. The third type of algorithm is a two-dimensional frequency domain algorithm (omega ka), and a known correlation algorithm transforms an echo signal into a two-dimensional frequency domain, and then eliminates coupling between a rotation direction and a distance direction through nonlinear mapping. However, because the target slant range item still exists in the two-dimensional frequency domain phase, the algorithm can only adopt the processing of performing Stolt interpolation on targets at different slant range positions respectively, which inevitably causes repeated calculation in the Stolt interpolation process, and greatly reduces the processing efficiency.
Of the three types of algorithms described above, BPA imaging accuracy is the best, but imaging time efficiency is the lowest. RDA imaging accuracy is affected by the slope distance approximation, however imaging time efficiency is highest. The disclosed omega KA algorithm adopts approximate processing in the process of deriving a two-dimensional frequency domain expression, and the main difficulty is that a trigonometric function related to a rotation angle exists in a target slope distance, and a wavenumber domain expression cannot be explicitly derived, so an effective wavenumber domain phase compensation method cannot be found.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a wave number domain ArcSAR imaging method based on triangular sine equivalent resident phase point solving, so as to give consideration to both imaging precision and time efficiency and have small residual error.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a wave number domain ArcSAR imaging method based on triangular sine equivalent dwell phase point solving comprises the following steps:
step S1, under the condition of not approximating the target slant range, the echo data is implicitly replaced by using the principle of resident phase, and a complete expression of the phase of the echo signal in the wavenumber domain is calculated and deduced;
step S2, according to the complete expression, a compensation function is reconstructed to realize phase error compensation;
and step S3, obtaining a polar coordinate focusing result through the inverse Fourier transform of the rotation angle direction, and obtaining a two-position space coordinate result through the interpolation of the polar coordinate-to-rectangular coordinate.
Further, the step S1 specifically includes:
step S11, deskewing echo data to obtain a preliminary expression of a signal model, constructing a primary compensation function of the distance wave number, and multiplying the preliminary expression and the primary compensation function to obtain a final expression of the model;
step S12, Fourier transform is carried out on the expression of the final model along the direction of the rotation angle, the signal phase is calculated, and the radar rotation angle is differentiated to obtain a resident phase point;
step S13, forming an equation formula according to the position relation among the radar, the target and the rotation center, and obtaining the difference between the rotation angle of the radar and the rotation angle of the target point;
and step S14, the calculated difference between the radar rotation angle and the target point rotation angle is brought into a signal phase formula to obtain a complete expression of the wavenumber domain.
Further, the preliminary expression of the signal model obtained by deskewing the echo signal is as follows:
wherein s represents the radar position, p represents the target position, R represents the distance from the target to the radar, the radar makes a circular motion by taking a point o as the center of a circle, and the length of the rotating arm is Rso,rpoIs the target-to-point o distance, θpIs the angle between op and ox; wa(θs) Is the signal amplitude, W, in the direction of the scan angler(kr) Is the signal amplitude, r, along the distancecIs a reference slope distance used in declivity, and is a known parameter, thetasIs the radar rotation angle, krIs the range wavenumber, exp represents the target phase;
the first order compensation function for the constructed distance wavenumber is:
s1=exp{j[-2πkr·rc]} (2);
the constructor in the formula (2) is utilized to compensate and eliminate r in the formula (1)cA modulation term;
the final expression formed is:
further, fourier transform is performed on the above equation (3) in the rotation angle direction, and a signal phase expression is obtained by using the dwell phase principle:
to publicTheta in the formula (4)sTaking the derivative and solving the dwell phase point to obtain the following expression:
calculating kθExpression (c):
further, from a triangle formed by the radar s, the target p, and the rotation center o in the ArcSA system, the following equation is derived:
calculated using equation (7):
substituting (9) into (6) yields:
kθ=-kr·rso·sinφ (10)
substituting the formula (10) into the formula (9) to obtain an expression of the difference between the radar rotation angle and the target point rotation angle:
further, substituting equation (11) into equation (4) yields the following wavenumber domain complete phase expression:
the compound is obtained by the simplification of the process,
the relationship between the rotation angle wave number and the distance wave number domain signal is expressed as:
SS1(kθ,kr)=Wa(θs)·Wr(kr)·exp{j·Φ}。
further, in SS1On the basis of the above, the following expression is obtained by compensating the rotation adjustment phase error:
further, performing inverse fourier transform on the compensated rotation angle wave number and distance wave number domain signals to obtain the following expression:
and then performing inverse Fourier transform on the second phase term in the formula (16) along the angular wave number direction to obtain a focusing result, wherein the expression is as follows:
in another aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the operational steps of the method according to the first aspect.
Compared with the prior art, the wave number domain ArcSAR imaging method based on the solution of the triangular sine equivalent dwell phase point has the following technical effects:
1. the target slope distance of the invention adopts a hyperbolic form, and no approximation in any form is carried out, including the rotation angle direction processing and the series expansion approximation of the rotation angle, so that compared with the prior various algorithms, the target slope distance of the invention has small residual error in theory and is suitable for near and far distance target imaging.
2. The method does not have a large-scale interpolation process unlike BPA, and the main operation is to compensate the phase error in a two-dimensional wavenumber domain, so the time efficiency of the algorithm is close to RDA (remote data acquisition) and far higher than BPA (Business reporting architecture), the accuracy of the algorithm is close to BP (Back propagation) algorithm, and the method is the best method considering both imaging accuracy and time efficiency in the existing ArcSAR imaging algorithm.
Drawings
Fig. 1 is a schematic scanning geometry diagram of an ArcSAR system in an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a wave number domain ArcSAR imaging method based on a triangular sine equivalent dwell phase point solution in the embodiment of the present invention.
Fig. 3 is a schematic diagram of a simulated lattice target layout in the embodiment of the present invention.
Fig. 4 is a diagram of imaging effects of the method in an embodiment of the invention.
Fig. 5(a) and 5(b) are response comparison graphs of P1 observation points taken from the tangential and radial directions, respectively, according to the embodiment of the present invention.
Fig. 6(a) and 6(b) are response comparison graphs of P2 observation points taken from the tangential and radial directions, respectively, according to the embodiment of the present invention.
Fig. 7(a) and 7(b) are response comparison graphs of P3 observation points taken from the tangential and radial directions, respectively, according to the embodiment of the present invention.
Fig. 8 is an experimental scene diagram of the 24GHz ArcSAR system selected in the embodiment of the present invention.
Fig. 9(a), 9(b), and 9(c) are schematic diagrams illustrating comparison of the imaging results of the ArcSAR imaging algorithm, the BPA algorithm, and the RDA algorithm selected in the embodiment of the present invention, respectively.
Fig. 10(a) and 10(b) are schematic diagrams showing a comparison between the tangential direction of the response (a) and the radial direction of the response (b) of the corner reflector in the embodiment of the present invention.
Fig. 11 is an experimental scene diagram of a 17GHz ArcSAR system selected in the embodiment of the present invention.
Fig. 12(a) and 12(b) are schematic diagrams illustrating comparison of imaging results of the selected ArcSAR imaging algorithm and the BPA algorithm according to the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail below with reference to the accompanying drawings, but the present invention is not limited thereto.
Referring to fig. 1, fig. 1 is a schematic diagram of a scanning geometry of an ArcSAR system according to an embodiment of the present invention. Where s denotes the radar position, p denotes the target position, and R denotes the target-to-radar distance. The radar makes circular motion by taking a point o as a circle center, and the length of a rotating arm is rsoThe target-to-point o distance is rpo,θpIs the angle between op and ox.
Fig. 2 is a flowchart of a wavenumber domain imaging method based on a triangular sine equivalent dwell phase point solution in the embodiment of the present invention. Firstly, under the condition of not approximating the target slant range, the stationary phase principle utilizes the sine theorem to carry out implicit substitution, and a complete expression of the phase of the echo signal in a wave number domain is deduced. Then, the target skew-independent phase error caused by rotation of the radial arm can be found from the complete two-dimensional wave number domain expression, and a compensation function can be constructed to realize consistent compensation. For target-related phase errors, the signal can be removed subtly after being transformed into the range-wavenumber domain. And finally, obtaining a polar coordinate focusing result through inverse Fourier transform of the direction of the rotation angle, and further obtaining a two-dimensional space coordinate result through polar coordinate to rectangular coordinate interpolation.
The specific imaging algorithm comprises the following steps:
and step S1, carrying out implicit replacement according to the resident phase principle without approximating the target slant range, and deducing a complete expression of the phase of the echo signal in the wavenumber domain. The method specifically comprises the following steps:
step S11: after receiving the echo data, removing the Residual Video Phase (RVP) error, performing the distance wave number replacement processing,
the preliminary expression for any signal model obtained after the deskew (Decirp) of the echo signal is
Wherein, Wa(θs) Is the signal amplitude, W, in the direction of the scan angler(kr) Is the signal amplitude, r, along the distancecIs a reference slope distance used in deskewing and is a known parameter. ThetasIs the radar rotation angle, krIs the distance direction wave number, within exp, the target phase is represented. The first order compensation function of the distance wave number is constructed as follows
s1=exp{j[-2πkr·rc]} (2)
The constructor expressed by the formula (2) can compensate and eliminate r in the formula (1)cAnd modulating the item. Multiplying formula (2) by formula (1) to obtain
Step S12: fourier transform is carried out on the formula (3) along the direction of the rotation angle, and by utilizing the principle of dwell phase, the signal phase is written as follows:
to thetasDerivative and solve for the dwell phase point, as follows
So as to obtain the compound with the characteristics of,
step S13: from the triangle formed by the radar s, the target p, and the rotation center o in fig. 1, the following equation is not difficult to obtain
Obtained by the formula (7)
By substituting formula (9) for formula (6)
kθ=-kr·rso·sinφ (10)
By substituting formula (10) for formula (9)
Step S14: formula (11) is substituted for formula (4) to obtain a complete phase expression of wave number domain
The compound is obtained by further simplification,
from the first two terms of equation (13), it can be seen that the phase does not contain rpoThe target tilt-independent phase error caused by the rotation of the swing arm will be described. The target skew-independent phase error caused by rotation of the radial arm can be found from the complete two-dimensional wave number domain expression, and a compensation function can be constructed to realize consistent compensation.
Wherein, the relational expression of the rotation angle wave number and the distance wave number domain signal is,
SS1(kθ,kr)=Wa(θs)·Wr(kr)·exp{j·Φ} (14)
step S2: in SS1On the basis of (1), compensating for the rotational modulation phase error yields:
step S3: and obtaining a polar coordinate focusing result through the inverse Fourier transform of the direction of the rotation angle, and further obtaining a two-dimensional space coordinate result through the interpolation of converting the polar coordinate into the rectangular coordinate. The method specifically comprises the following steps:
in SS2On the basis, inverse Fourier transform is carried out along the distance direction, namely, the inverse Fourier transform is carried out on the formula (15) along the distance direction to obtain
In the formula (16), the first phase term is in rpoIs zero, and at other range bin locations, although not zero, this phase term has been practically completely eliminated because the magnitude of the ambiguity function δ r (·) greatly limits the phase term effect. The second phase term in equation (16) determines the angular position of the target, and the focusing result is obtained by performing inverse fourier transform in the angular wavenumber direction.
By the method in this example, the radar parameters shown in table 1 below were run.
TABLE 1 Radar parameters
System carrier frequency | f0=24GHz |
Pulse width of transmission | Tp=20us |
Range of scanning angles | θ1=0°θ2=360° |
Azimuth beam- |
50° |
Bandwidth of transmitted pulse | 1GHz |
Sampling frequency | 60MHz |
Referring to FIG. 3, a 4m dot matrix object is set, and P is selected1、P2、P3As a point of view. The target in the ArcSAR system has invariable focusing characteristics under the same distance and different angles, so the three targets have the universality of analysis.
Table 2 shows the effect of comparing the target response with the other two methods.
TABLE 2 comparison of point target responses for different methods
The imaging results of this method are shown in fig. 4. The same echo was then processed using BPA and RDA, respectively, and the three imaging algorithms were quality analyzed. The resolution analysis is performed along the tangential and radial directions of the object, here exactly in the Y and X directions of the coordinate axes. Fig. 5, 6, 7 are tangential and radial target response results for the three algorithms, respectively. Table 2 shows the (σ) ratiox,σy) m and (PLSRX, PLSRy) dB measures the results of the point target responses. From the above, it can be seen that with the method of the present invention, the overall point target response is closer to the BPA result, and the imaging accuracy is higher than the RDA.
In addition, time consuming tests were performed in the same computing environment. The azimuth point of the test echo data is 7200, and the distance point is 1024. The data is complex data, that is, contains a real part and an imaginary part. The data type is a double precision floating point number. Thus, the total data amount is 118 megabytes. The imaging scene size is 30 meters by 30 meters with a sampling interval of 0.05 meters. Table 3 shows the time consumption of the three algorithms. It can be seen that the time efficiency of the process of the invention is the same as RDA and much higher than BPA.
TABLE 3 calculation times for different methods
The imaging method of the invention is compared and verified by specific actual scene data.
The first actual data experiment was from a scanning acquisition of the motion field by the 24ghz arcsar system. The scene is shown in fig. 8. The radius of rotation of the radar system is 1 meter. There are two corner reflectors 23 meters away from the radar. The radar bandwidth is 1GHz and the angular beam of-3 dB width is 42 degrees. The algorithms in the embodiments of the present invention and the BPA and RDA algorithms are respectively adopted to perform imaging, and the effect graphs are shown in fig. 9(a) to 9 (c). Figure 10 shows the alignment of the three imaging methods. The reflection of the iron fence around the field can be clearly seen. We performed a mass analysis of one of the corner reflectors. The tangential and radial responses are shown in fig. 12(a) and 12(b), respectively. It can be seen that the target response of this algorithm is close to BPA, but better than RDA.
Therefore, compared with the conventional algorithm, the wave number domain ArcSAR imaging method based on the triangular sine equivalent resident phase point solving disclosed by the embodiment of the invention has the advantages that the residual error is small theoretically, the method is suitable for near-distance and long-distance target imaging, the imaging precision is high, the algorithm time efficiency is close to RDA, and both the imaging precision and the time efficiency are considered.
The foregoing description shows and describes several preferred embodiments of the invention, but as aforementioned, it is to be understood that the invention is not limited to the forms disclosed herein, but is not to be construed as excluding other embodiments and is capable of use in various other combinations, modifications, and environments and is capable of changes within the scope of the inventive concept as expressed herein, commensurate with the above teachings, or the skill or knowledge of the relevant art. And that modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention except as it may be limited by the claims appended hereto.
Claims (9)
1. A wave number domain ArcSAR imaging method based on triangular sine equivalent dwell phase point solving is characterized by comprising the following steps:
step S1, under the condition of not approximating the target slant range, the echo data is implicitly replaced by using the principle of resident phase, and a complete expression of the phase of the echo signal in the wavenumber domain is calculated and deduced;
step S2, according to the complete expression, constructing a compensation function to realize phase error compensation;
and step S3, obtaining a polar coordinate focusing result through the inverse Fourier transform of the rotation angle direction, and obtaining a two-position space coordinate result through the interpolation of the polar coordinate-to-rectangular coordinate.
2. The imaging method according to claim 1, wherein the step S1 specifically includes:
step S11, deskewing echo data to obtain a preliminary expression of a signal model, constructing a first-order compensation function of a distance wave number, and multiplying the preliminary expression and the first-order compensation function to obtain a final expression of the model;
step S12, Fourier transform is carried out on the expression of the final model along the direction of the rotation angle, the signal phase is calculated, and the radar rotation angle is differentiated to obtain a resident phase point;
step S13, forming an equation formula according to the position relation among the radar, the target and the rotation center, and obtaining the difference between the rotation angle of the radar and the rotation angle of the target point;
and step S14, the calculated difference between the radar rotation angle and the target point rotation angle is brought into a signal phase formula to obtain a complete expression of the wavenumber domain.
3. The imaging method of claim 2, wherein deskewing the echo signals yields a preliminary expression for the signal model:
wherein s represents the radar position, p represents the target position, R represents the distance from the target to the radar, the radar makes a circular motion by taking a point o as the center of a circle, and the length of the rotating arm is Rso,rpoIs the target-to-point o distance, θpIs the angle between op and ox; wa(θs) Is the signal amplitude, W, in the direction of the scan angler(kr) Is the signal amplitude, r, along the distancecIs a reference slope distance used in declivity, and is a known parameter, thetasIs the radar rotation angle, krIs the range wavenumber, exp represents the target phase;
the first order compensation function for the constructed distance wavenumber is:
s1=exp{j[-2πkr·rc]} (2);
the constructor in the formula (2) is utilized to compensate and eliminate r in the formula (1)cA modulation term;
the final expression formed is:
4. the imaging method according to claim 3, wherein the fourier transform is performed on the above equation (3) in the rotation angle direction, and the signal phase expression is obtained by using the dwell phase principle:
for theta in formula (4)sTaking the derivative and solving the dwell phase point to obtain the following expression:
calculating kθExpression (c):
5. the imaging method according to claim 4, wherein the following equation is derived from a triangle formed by the radar s, the target p and the rotation center o in the ArcSAR system:
calculated using equation (7):
substituting (9) into (6) yields:
kθ=-kr·rso·sinφ (10)
substituting the formula (10) into the formula (9) to obtain an expression of the difference between the radar rotation angle and the target point rotation angle:
6. the imaging method according to claim 5, characterized in that substituting equation (11) into equation (4) yields the following wavenumber domain complete phase expression:
the compound is obtained by the simplification of the process,
the relationship between the rotation angle wave number and the distance wave number domain signal is expressed as:
SS1(kθ,kr)=Wa(θs)·Wr(kr)·exp{j·Φ}。
8. the imaging method according to claim 7, wherein performing inverse fourier transform on the compensated rotation angle wavenumber and distance wavenumber domain signals yields the following expression:
and then performing inverse Fourier transform on the second phase term in the formula (16) along the angular wave number direction to obtain a focusing result, wherein the expression is as follows:
9. a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the operating steps of the method according to any one of claims 1 to 8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110684856.5A CN113608215A (en) | 2021-06-21 | 2021-06-21 | Wave number domain ArcSAR imaging method based on triangular sine equivalent resident phase point solution |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110684856.5A CN113608215A (en) | 2021-06-21 | 2021-06-21 | Wave number domain ArcSAR imaging method based on triangular sine equivalent resident phase point solution |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113608215A true CN113608215A (en) | 2021-11-05 |
Family
ID=78336660
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110684856.5A Withdrawn CN113608215A (en) | 2021-06-21 | 2021-06-21 | Wave number domain ArcSAR imaging method based on triangular sine equivalent resident phase point solution |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113608215A (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101509976A (en) * | 2009-03-19 | 2009-08-19 | 北京理工大学 | Moving and state double-base synthetic aperture radar imaging method |
CN105204019A (en) * | 2015-09-11 | 2015-12-30 | 电子科技大学 | Stepped-frequency SAR imaging method based on wavenumber domain algorithm |
CN109738894A (en) * | 2019-01-29 | 2019-05-10 | 北方工业大学 | Radar imaging method |
CN109932718A (en) * | 2019-03-11 | 2019-06-25 | 南京航空航天大学 | The circular path that multi-rotor unmanned aerial vehicle carries looks around SAR full aperture imaging method |
CN112305539A (en) * | 2020-09-25 | 2021-02-02 | 北方工业大学 | ArcSAR polar coordinate format imaging method based on spherical wave decomposition |
-
2021
- 2021-06-21 CN CN202110684856.5A patent/CN113608215A/en not_active Withdrawn
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101509976A (en) * | 2009-03-19 | 2009-08-19 | 北京理工大学 | Moving and state double-base synthetic aperture radar imaging method |
CN105204019A (en) * | 2015-09-11 | 2015-12-30 | 电子科技大学 | Stepped-frequency SAR imaging method based on wavenumber domain algorithm |
CN109738894A (en) * | 2019-01-29 | 2019-05-10 | 北方工业大学 | Radar imaging method |
CN109932718A (en) * | 2019-03-11 | 2019-06-25 | 南京航空航天大学 | The circular path that multi-rotor unmanned aerial vehicle carries looks around SAR full aperture imaging method |
CN112305539A (en) * | 2020-09-25 | 2021-02-02 | 北方工业大学 | ArcSAR polar coordinate format imaging method based on spherical wave decomposition |
Non-Patent Citations (1)
Title |
---|
Y. ZHANG等: "Efficient ArcSAR Focusing in the Wavenumber Domain" * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111142105B (en) | ISAR imaging method for complex moving target | |
CN110673143A (en) | Two-step processing method for sub-aperture large squint SAR (synthetic aperture radar) diving imaging | |
CN110346798B (en) | Bistatic synthetic aperture radar wavenumber domain efficient imaging processing method | |
CN111781595B (en) | Complex maneuvering group target imaging method based on matching search and Doppler defuzzification | |
CN111856466A (en) | Efficient ISAR (inverse synthetic aperture radar) translation compensation method for complex moving target | |
Shao et al. | Integration of super-resolution ISAR imaging and fine motion compensation for complex maneuvering ship targets under high sea state | |
CN110244300B (en) | Missile-borne SAR (synthetic Aperture Radar) level flight section high-resolution imaging method based on sphere model and FENLCS (finite Impulse noise correction) algorithm | |
Ji et al. | An autofocus approach with applications to ionospheric scintillation compensation for spaceborne SAR images | |
CN112558070A (en) | Frequency domain imaging method and device of circular scanning foundation SAR | |
Ryu et al. | Frame selection method for isar imaging of 3-d rotating target based on time–frequency analysis and radon transform | |
CN116559905A (en) | Undistorted three-dimensional image reconstruction method for moving target of bistatic SAR sea surface ship | |
CN113608215A (en) | Wave number domain ArcSAR imaging method based on triangular sine equivalent resident phase point solution | |
CN108469612B (en) | Bistatic time-varying acceleration foresight SAR imaging method based on equivalent slope distance | |
CN116679265A (en) | SAR time domain rapid echo simulation method suitable for use in topography fluctuation scene | |
CN112859018B (en) | Video SAR imaging method based on image geometric correction | |
CN115453530A (en) | Bistatic SAR (synthetic aperture radar) filtering back-projection two-dimensional self-focusing method based on parameterized model | |
CN115712095A (en) | SAR satellite three-dimensional positioning error correction method and system based on single angular reflection | |
CN113671497B (en) | Single-channel SAR target three-dimensional coordinate extraction method based on cylindrical symmetry model | |
CN113376632B (en) | Large strabismus airborne SAR imaging method based on pretreatment and improved PFA | |
CN111751821B (en) | MWNLCS imaging method suitable for high-resolution satellite-borne scene matching SAR | |
Gong et al. | High resolution 3D InISAR imaging of space targets based on PFA algorithm with single baseline | |
CN112305539B (en) | ArcSAR polar coordinate format imaging method based on spherical wave decomposition | |
CN114859349A (en) | Polar coordinate imaging method based on space polar coordinate skew distance model | |
CN113687355A (en) | Automobile millimeter wave radar circumference imaging method and device | |
CN111722224A (en) | Keystone transformation-based three-dimensional imaging method for ground-based synthetic aperture radar |
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 | ||
WW01 | Invention patent application withdrawn after publication | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20211105 |