CN105510915A - Inverse synthetic aperture radar imaging process customization system - Google Patents
Inverse synthetic aperture radar imaging process customization system Download PDFInfo
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- CN105510915A CN105510915A CN201510851223.3A CN201510851223A CN105510915A CN 105510915 A CN105510915 A CN 105510915A CN 201510851223 A CN201510851223 A CN 201510851223A CN 105510915 A CN105510915 A CN 105510915A
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- 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
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- 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
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- 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
- G01S13/9064—Inverse SAR [ISAR]
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Abstract
The invention provides an inverse synthetic aperture radar imaging process customization system. ISAR (inverse synthetic aperture radar imaging) steps can be customized according to the needs of users, and processing modules can be selected freely under the premise that logic relationships between various kinds of states are not violated; the users can select algorithms in each module and configure the parameters of each algorithm; after the configuration of the modules, algorithms and parameters in corresponding algorithms is completed, the customization system will automatically generate a complete imaging process, and the users are not required to write the interface programs of each module, and therefore, research efficiency can be greatly improved; the system can provide a variety of imaging processing approaches, so that the users can quickly find a process with optimal effect and performance under a certain scene through comparing and summarizing the results of the variety of processing approaches, and therefore, ISAR imaging algorithm research and radar wideband echo measurement data processing can be facilitated for researchers. The inverse synthetic aperture radar imaging process customization system has an important engineering application value.
Description
Technical field
The present invention relates to a kind of Irnaging procedures custom-built system, be specifically related to a kind of inverse synthetic aperture radar (ISAR) (ISAR) Irnaging procedures custom-built system.
Background technology
Inverse synthetic aperture radar (ISAR) (InverseSyntheticApertureRadar; ISAR) imaging is a kind of active microwave imaging radar system, and its principle of work is that radar is motionless, and target travel, forms array and carries out imaging with this equivalence to target.ISAR imaging is intended to carry out imaging to space (in the air) moving target, is the important development direction of radar imagery, in strategic defensive, anti-satellite, anti-ballistic and radar astronomy, have important using value.
The most typical algorithm of ISAR imaging is Range-Doppler imaging algorithm, its key step comprises Range Profile compression, translational compensation (comprising envelope alignment and self-focusing), calibration, horizontal compression etc., also have some nonessential steps in addition, such as: velocity compensation, one dimension walk normal moveout correction etc. as noise reduction, Range cell migration correction, doppler cells.Each step has many algorithms available, and often kind of algorithm may comprise again the parameter that can arrange.For translational compensation, the prerequisite of the Range-Doppler imaging algorithm of ISAR imaging is that during assuming picture, target evenly turns over little angle relative to radar in same plane, but due to imaging object normally noncooperative target, target state is generally uncontrollable, not only rotative component is comprised in its motion, and comprise translation component, and translation component can destroy the coherence between echoed signal, cause ISAR image distortion, therefore first must carry out translational compensation in ISAR imaging, eliminate the impact of translation component in target travel.Translational compensation is divided into two steps usually: the first step is the time delay compensating envelope, and namely envelope alignment, makes when relative rotation is less, and in target, the echo of same scattering point falls within same range unit; Second step is that first phase compensates, and is commonly referred to self-focusing, and object is the scattering point Doppler change that elimination translation causes, and its effect is equivalent to a certain reference point equivalence in target to become turntable center.The a lot of class of existing envelope alignment method, according to the difference of alignment criterion, can be divided into cross-correlation method, based on the method for image sharpening degree criterion, the method etc. based on space length minimum criteria; According to the difference choosing mode with reference to one-dimensional range profile, envelope alignment method can be divided into aligned adjacent, add window accumulation alignment, global alignment etc.Autofocus algorithm has based on ISAR image quality evaluation algorithm, the autofocus algorithm based on scatter times, the imparametrization auto-focus method based on image Minimum Entropy criteria etc.Each class methods has again a variety of algorithm above, and algorithms of different has again different parameters, and these all affect the effect of ISAR imaging.
Therefore the imaging effect in order to obtain, may need to take different Irnaging procedures and algorithm parameter under different scenes and condition, what this just caused imaging algorithm grinds high numerous and complicated, be difficult to the treatment scheme that effect and performance under fast searching to certain scene are best, therefore at present ISAR formation method grinds high with engineer applied inefficiency, is the key technical problem that ISAR imaging field faces.
Summary of the invention
In order to solve prior art Problems existing, need a kind of new technology, user can be made to customize image-forming step, selection algorithm setup parameter according to demand, thus attempt multiple imaging processing approach, by compare sum up obtain certain scene under best imaging processing flow process.
The technical problem to be solved in the present invention is to provide a kind of ISAR Irnaging procedures custom-built system, to make for same section of radar data, grind high person can attempt number of ways and carry out imaging processing, thus select best treatment scheme and method, improve work efficiency and the optimization process result of imaging processing.
For solving the problems of the technologies described above, the present invention's " a kind of inverse synthetic aperture radar imaging flow custom system ", comprises interface edge, state machine, service end, algorithms library four parts; Interface edge provides the essential module of ISAR imaging, optional module for user, and the algorithm information that each module comprises, and the module information of customization is sent to state machine; After state machine receives module information, generate Irnaging procedures, and procedure information is returned to interface edge; After interface edge receives procedure information, algorithm list by the list of flow process generating algorithm, then is sent to service end by the information of algorithm user selected in each module; Service end, according to algorithm list, according to the algorithm in process invocation algorithms library, processes raw data and shows imaging results at interface edge.
Preferably, the essential module of described ISAR imaging comprises: distance is to compression module, envelope alignment module, self-focusing module, orientation to compression module; Optional module comprises: velocity compensation module, one dimension to be walked about correction module, scaling module as noise reduction module, Range cell migration correction module, doppler cells;
Preferably, the described Irnaging procedures generated by state machine comprises:
Two approach are had: wideband radar echo data-> distance is to compression, wideband radar echo data-> velocity compensation-> distance to compression from broadband radar return data mode to distance to compressive state;
Two approach are had: distance is to compression-> envelope alignment, distance to compressing-> one dimension as noise reduction-> envelope alignment from distance to compressive state to envelope alignment state;
An approach is had: envelope alignment-> self-focusing from envelope alignment state to self-focusing state;
Five approach are had to compressive state: self-focusing-> orientation is to compression from self-focusing state to orientation, self-focusing-> calibrates-> orientation to compression, self-focusing-> Range cell migration corrects-> and calibrates-> orientation to compression, self-focusing-> Range cell migration corrects-> doppler cells and walks normal moveout correction-> orientation to compression, self-focusing-> Range cell migration corrects-> doppler cells and walks normal moveout correction-> calibration-> orientation to compression,
An approach is had: orientation is to compression->ISAR image from orientation to compressive state to ISAR image state;
Preferably, described algorithms library comprises each modular algorithm information and algorithm parameter information, wherein, the gauge outfit of algorithm information table comprises: corresponding dynamic link library name (dll) of algorithm numbering, algorithm title (title of Calling), algorithm display Name (title that interface shows), algorithm types (belonging to which step in Irnaging procedures), algorithm, input parameter and output parameter number; The gauge outfit of algorithm parameter table comprises: algorithm numbering (numbering consistent with the algorithm in algorithm information table), parameter are numbered, parameter name (title of Calling), parameter display title (title for interface display), data type, parameter type (input export), default value, arrange and allow maximal value, arrange and allow minimum value and parameter to describe.
Preferably, described algorithm list is a structure storehouse, and each algorithm structure body comprises the parameter list of algorithm numbering and correspondence thereof, and algorithm structure body is stacked according to the Irnaging procedures order of customization.
Preferably, after the list of described service end receiving algorithm, first decipher is carried out to it, then number acquisition algorithm information and algorithm parameter information from algorithms library according to the algorithm of decipher; Then the algorithm that next step performs is detected, if still have algorithm not to be finished in algorithm list, then according to decipher gained algorithm information and algorithm parameter information, algorithm is called from the dynamic link library that algorithm is corresponding, the output data of previous step algorithm in data pool are processed, and by algorithm Output rusults stored in data pool; If do not have unenforced algorithm in algorithm list, then represent that the algorithm that previous step performs is the final step of Irnaging procedures, its Output rusults is imaging results, transmits it to interface edge and shows.
Preferably, the basic input of the algorithm of described each module, output interface are as follows:
Distance is the original radar return data of M × N to the basic input interface of compression module, and its data type is plural number, and M, N are respectively the radar slow time and fast time-sampling is counted, and export as one-dimensional range profile sequence, is the multiple two-dimensional matrix of M × N;
The basic input interface of velocity compensation module is the original radar return data of M × N, exports as one-dimensional range profile sequence, is the multiple two-dimensional matrix of M × N;
The basic input interface of envelope alignment module is one-dimensional range profile sequence data, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into alignment, is the multiple two-dimensional matrix of M × N;
One dimension is one-dimensional range profile sequence data as the basic input interface of noise reduction module, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into noise reduction, is the multiple two-dimensional matrix of M × N;
The basic input interface of self-focusing module is one-dimensional range profile sequence data, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into self-focusing, is the multiple two-dimensional matrix of M × N;
The basic input interface of Range cell migration correction module is the one-dimensional range profile sequence data after self-focusing, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into Range cell migration correction, is the multiple two-dimensional matrix of M × N;
The walk about basic input interface of correction module of doppler cells is one-dimensional range profile sequence data after Range cell migration corrects, and being the multiple two-dimensional matrix of M × N, exporting as doppler cells walks the one-dimensional range profile sequence data after normal moveout correction, is the multiple two-dimensional matrix of M × N;
The basic input interface of scaling module is one-dimensional range profile sequence data, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into calibration, is the multiple two-dimensional matrix of M × N.
Orientation is one-dimensional range profile sequence data to the basic input interface of compression module, is the multiple two-dimensional matrix of M × N, exports as ISAR image, is the multiple two-dimensional matrix of M × N.
Described inverse synthetic aperture radar imaging flow custom system, according to the demand customization ISAR image-forming step of user, under the prerequisite of logical relation between each state, freely can choose processing module; User can also select the algorithm in each module, and can be configured each algorithm parameter; After parameter configuration in module, algorithm and respective algorithms completes, described custom-built system will generate complete Irnaging procedures automatically, writes the interface routine of each module without the need to user, substantially increases and grinds high efficiency.And because this system can provide multiple imaging processing approach, therefore user is by comparing the result summing up multiple process approach, can effect and the best treatment scheme of performance under fast searching to certain scene, conveniently grind high person to carry out ISAR imaging algorithm and grind high and radar wideband echoes Measurement and Data Processing, there is important engineer applied and be worth.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 workflow schematic diagram of the present invention;
Based on the ISAR Irnaging procedures customization schematic diagram of state machine in Fig. 2 the present invention;
Fig. 3 service end flow processing of the present invention schematic diagram;
Data processed result in Fig. 4 embodiment one;
Data processed result in Fig. 5 embodiment two.
Specific embodiments
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Fig. 1 is the workflow schematic diagram of the present invention's " a kind of inverse synthetic aperture radar imaging flow custom system ".Native system comprises interface edge, state machine, service end, algorithms library four parts;
Step S101: the module information of customization is sent to state machine by interface edge;
Step S102: after state machine receives module information, generates Irnaging procedures, and procedure information is returned to interface edge;
Step S103: after interface edge receives procedure information, algorithm list by the list of flow process generating algorithm, then is sent to service end by the information of algorithm user selected in each module;
Step S104: service end, according to algorithm list, according to the algorithm in process invocation algorithms library, processes raw data;
Step S105: the imaging results handled well is returned interface edge by service end, and show at interface edge.
Fig. 2 is the ISAR Irnaging procedures customization schematic diagram based on state machine.Its middle distance to compression, envelope alignment, self-focusing, orientation to the essential module of boil down to, velocity compensation, one dimension as noise reduction, Range cell migration corrects, doppler cells walks normal moveout correction, calibration is then for optional module.Each State Transferring of state machine can only towards arrow indicated direction, and can not be in the other direction.
According to the state machine rule of design, user starts to select velocity compensation or distance to the module of compression, if user have selected velocity compensation module, then after can only chosen distance to compression module; If directly chosen distance is to compression module, then one dimension then can be selected as noise reduction or envelope alignment module; If user have selected one dimension as noise reduction module, then also need then to select envelope alignment module; If user directly have selected envelope alignment module, then then can only select self-focusing module; After having selected self-focusing module, the selection and comparison of user is many: can directly select orientation to compression module, thus complete flow custom; Can scaling module be selected, then select orientation to compression module, complete flow custom; Correction module, scaling module, orientation can be walked about to compression module by chosen distance unit successively, complete flow custom; Correction module, orientation can be walked about to compression module by walk about correction module, doppler cells of chosen distance unit successively, complete flow custom; Correction module, scaling module, orientation can be walked about to compression module by walk about correction module, doppler cells of chosen distance unit successively, complete flow custom.Each module can carry out the selection of algorithm and corresponding optimum configurations.
Fig. 3 is service end flow processing schematic diagram.The algorithm of each algorithm numbering and algorithm parameter, after user chooses flow process and algorithm, are packaged as a list, and send it to service end by interface edge; After the list of service end receiving algorithm, first decipher is carried out to it, then according to algorithm numbering acquisition algorithm essential information from algorithms library that decipher obtains; Then get next step algorithm in queue and judge, if first step algorithm, then from its corresponding dynamic link library (d] 1), calling this algorithm and raw data is processed, and by result stored in data pool; If median algorithm, then from its corresponding d] call this algorithm l the previous step result in data pool is processed, and by result stored in data pool; If final step algorithm, then from its corresponding dll, call this algorithm the previous step result in data pool is processed, and result is sent to interface edge and carries out showing.
Embodiment one:
The Irnaging procedures 1 of customization: wideband radar echo data-> distance calibrates-> orientation to compression->ISAR image to compression-> envelope alignment-> self-focusing->; These flow processs comprise distance to compression module, envelope alignment module, self-focusing module, scaling module, orientation to compression module, and the algorithm that wherein user selects in each module is followed successively by: distance to fft algorithm, cross-correlation method, center Doppler algorithm, the scaling algorithm estimated based on corner, orientation is to fft algorithm.Fig. 4 is the ISAR image after this flow processing.
Embodiment two:
The Irnaging procedures 2 of customization, wideband radar echo data-> distance corrects-> doppler cells to compression-> envelope alignment-> self-focusing-> Range cell migration and walks normal moveout correction-> calibration-> orientation to compression->ISAR image; These flow processs comprise distance and walk about correction module, scaling module, orientation to compression module to compression module, envelope alignment module, self-focusing module, Range cell migration correction module, doppler cells, and the algorithm that wherein user selects in each module is followed successively by: distance to fft algorithm, cross-correlation method, center Doppler algorithm, Keystone mapping algorithm, phase cancellation (MTDC-PC) algorithm, the scaling algorithm estimated based on corner, orientation is to fft algorithm.Fig. 5 is the image after this flow processing.
Flow process 2 has customized " Range cell migration correction " and " doppler cells walks normal moveout correction " two modules than flow process more than 1, the algorithm chosen is respectively Keystone algorithm and MTDC-PC algorithm, comparison diagram 4 is known with Fig. 5 result, ISAR image focusing effect shown in Fig. 5 is better, therefore, the better effects if that the wideband radar echo data in two embodiments adopts flow process 2 to process.
Above embodiment shows: for same section of radar data, grinds high person and can attempt number of ways easily and carry out imaging processing, thus select best treatment scheme and method, improves work efficiency and the optimization process result of imaging processing.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claims.
Claims (7)
1. an inverse synthetic aperture radar imaging flow custom system, comprises interface edge, state machine, service end, algorithms library four parts; Interface edge provides the essential module of ISAR imaging, optional module for user, and the algorithm information that each module comprises, and the module information of customization is sent to state machine; After state machine receives module information, generate Irnaging procedures, and procedure information is returned to interface edge; After interface edge receives procedure information, algorithm list by the list of flow process generating algorithm, then is sent to service end by the information of algorithm user selected in each module; Service end, according to algorithm list, according to the algorithm in process invocation algorithms library, processes raw data and shows imaging results at interface edge.
2. inverse synthetic aperture radar imaging flow custom system as claimed in claim 1, it is characterized in that, the essential module of described ISAR imaging comprises: distance is to compression module, envelope alignment module, self-focusing module, orientation to compression module; Optional module comprises: velocity compensation module, one dimension to be walked about correction module, scaling module as noise reduction module, Range cell migration correction module, doppler cells.
3. inverse synthetic aperture radar imaging flow custom system as claimed in claim 1, it is characterized in that, the described Irnaging procedures generated by state machine comprises:
Two approach are had: wideband radar echo data-> distance is to compression, wideband radar echo data-> velocity compensation-> distance to compression from broadband radar return data mode to distance to compressive state;
Two approach are had: distance is to compression-> envelope alignment, distance to compressing-> one dimension as noise reduction-> envelope alignment from distance to compressive state to envelope alignment state;
An approach is had: envelope alignment-> self-focusing from envelope alignment state to self-focusing state;
Five approach are had to compressive state: self-focusing-> orientation is to compression from self-focusing state to orientation, self-focusing-> calibrates-> orientation to compression, self-focusing-> Range cell migration corrects-> and calibrates-> orientation to compression, self-focusing-> Range cell migration corrects-> doppler cells and walks normal moveout correction-> orientation to compression, self-focusing-> Range cell migration corrects-> doppler cells and walks normal moveout correction-> calibration-> orientation to compression,
An approach is had: orientation is to compression->ISAR image from orientation to compressive state to ISAR image state.
4. inverse synthetic aperture radar imaging flow custom system as claimed in claim 1, it is characterized in that, described algorithms library comprises algorithm information table and algorithm parameter table, wherein, the gauge outfit of algorithm information table comprises: algorithm numbering, the corresponding dynamic link library name of algorithm title, algorithm display Name, algorithm types, algorithm, input parameter and output parameter number; The gauge outfit of algorithm parameter table comprises: algorithm numbering, parameter numbering, parameter name, parameter display title, data type, parameter type, default value, arrange and allow maximal value, arrange and allow minimum value and parameter to describe, and the algorithm numbering wherein in algorithm parameter table is numbered consistent with the algorithm in algorithm information table.
5. inverse synthetic aperture radar imaging flow custom system as claimed in claim 1, it is characterized in that, described algorithm list is a structure storehouse, and each algorithm structure body comprises the parameter list of algorithm numbering and correspondence thereof, and algorithm structure body is stacked according to the Irnaging procedures order of customization.
6. inverse synthetic aperture radar imaging flow custom system as claimed in claim 1, it is characterized in that, the treatment scheme of described service end is: after the list of service end receiving algorithm, first decipher is carried out to it, then number acquisition algorithm information and algorithm parameter information from algorithms library according to the algorithm of decipher; Then the algorithm that next step performs is detected, if still have algorithm not to be finished in algorithm list, then according to decipher gained algorithm information and algorithm parameter information, algorithm is called from the dynamic link library that algorithm is corresponding, the output data of previous step algorithm in data pool are processed, and by algorithm Output rusults stored in data pool; If there is no unenforced algorithm in algorithm list, then imaging results is exported to interface edge display.
7. inverse synthetic aperture radar imaging flow custom system as claimed in claim 1, it is characterized in that, basic input, the output interface of the algorithm of each module are as follows:
Distance is the original radar return data of M × N to the basic input interface of compression module, and its data type is plural number, and M, N are respectively the radar slow time and fast time-sampling is counted, and export as one-dimensional range profile sequence, is the multiple two-dimensional matrix of M × N;
The basic input interface of velocity compensation module is the original radar return data of M × N, exports as one-dimensional range profile sequence, is the multiple two-dimensional matrix of M × N;
The basic input interface of envelope alignment module is one-dimensional range profile sequence data, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into alignment, is the multiple two-dimensional matrix of M × N;
One dimension is one-dimensional range profile sequence data as the basic input interface of noise reduction module, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into noise reduction, is the multiple two-dimensional matrix of M × N;
The basic input interface of self-focusing module is one-dimensional range profile sequence data, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into self-focusing, is the multiple two-dimensional matrix of M × N;
The basic input interface of Range cell migration correction module is the one-dimensional range profile sequence data after self-focusing, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into Range cell migration correction, is the multiple two-dimensional matrix of M × N;
The walk about basic input interface of correction module of doppler cells is one-dimensional range profile sequence data after Range cell migration corrects, and being the multiple two-dimensional matrix of M × N, exporting as doppler cells walks the one-dimensional range profile sequence data after normal moveout correction, is the multiple two-dimensional matrix of M × N;
The basic input interface of scaling module is one-dimensional range profile sequence data, is the multiple two-dimensional matrix of M × N, exports the one-dimensional range profile sequence data after into calibration, is the multiple two-dimensional matrix of M × N.
Orientation is one-dimensional range profile sequence data to the basic input interface of compression module, is the multiple two-dimensional matrix of M × N, exports as ISAR image, is the multiple two-dimensional matrix of M × N.
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