CN110161468B - Method for designing satellite-borne SAR transmission channel data-to-imaging receiving channel functional module - Google Patents
Method for designing satellite-borne SAR transmission channel data-to-imaging receiving channel functional module Download PDFInfo
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Abstract
The invention relates to a method for designing a satellite-borne SAR transmission channel data-to-imaging receiving channel functional module in the technical field of satellite-borne SAR data conversion, which comprises the following steps: matlab software and language are selected as development environments of the function module design, and function functions are selected as models of the function module design; defining function names and input and output parameters according to the function form and the external interface content; according to the imaging receiving channel data fusion combination, a transmission channel data algorithm and a Matlab parallel operation tool box-based efficient data conversion algorithm are developed, and program development is realized by calling related commands of Matlab software; standardized, generalized, and scalable packaging is performed using packaging techniques. The invention meets the requirements of standardized development of a satellite-borne SAR ground satellite loading integrated test system or a ground application processing system, and improves the efficiency of integrated test and ground application processing.
Description
Technical Field
The invention relates to the technical field of satellite-borne SAR data conversion, in particular to a design method of a satellite-borne SAR transmission channel data conversion imaging receiving channel functional module.
Background
In order to meet the detection requirement of high resolution and wide coverage, the spaceborne SAR adopts a plurality of receiving channel imaging systems, and in the process of transmitting echo data to the ground, the data of a plurality of receiving channels are generally required to be combined and fused into the data of a plurality of transmission channels, for example, 1 imaging receiving channel data are combined and fused into 8 transmission channel data, 6 imaging receiving channel data are combined and fused into 8 transmission channel data, and the like. In the subsequent data processing process, the transmission channel data downloaded to the ground is required to be converted into imaging receiving channel data, and firstly converted data are provided for the subsequent data pulse pressure processing; secondly, the correctness of the detection imaging receiving of the data of each channel can be judged, and the conversion of the transmission channel data into the imaging channel data is one of important links of the satellite-borne SAR ground integrated test system or the ground application processing system.
The function is only contained in the whole data format conversion, does not have the condition of independently judging and detecting the correctness of imaging receiving data, and can not adapt to the development of a standardized ground integrated test system or a ground application system, and can not realize the requirements of high-efficiency and automatic test or data processing.
With the continuous development of the satellite-borne SAR technology, particularly the development of high-resolution SAR satellites, the echo data volume obtained by once-on imaging is larger and larger, so that mass data are efficiently managed and processed, and an efficient integrated test system or a ground application processing system needs to be developed; and secondly, the whole processing flow is required to be subjected to modularized division and standardized design and development according to the functional characteristics in the face of the requirements of generalization, expandability and replaceability.
Through the search of the prior art, the Chinese invention patent with the application number of CN200810238949.X discloses an integrated high-speed remote sensing data receiving and processing device, which is characterized by comprising the following components: the system comprises a serial-parallel conversion module, a frame synchronization processing module, a combined decoding module, a data distribution module, a combined coding module, a parallel-serial conversion module and a load imaging processing module; when receiving data, serial remote sensing data output by the satellite downlink demodulator is converted into parallel data by the serial-parallel conversion module and then is sent to the frame synchronization processing module; the frame synchronization processing module performs frame synchronization processing on the parallel data, searches for a frame synchronization word, calculates fault tolerance parameters, generates a frame synchronization signal according to the frame length and the frame synchronization word, and sends the frame synchronization signal and a data frame to the combined decoding module; the combined decoding module performs descrambling, RS decoding and CRC checking on the data frames according to the frame synchronizing signals, and sends the data frames to the cache, and the data in the cache are sent to the data distribution module after data synthesis and filtering; the data distribution module sends the transmitted data to the load imaging processing module, and meanwhile, the transmitted data is sent to the local storage equipment or transmitted through a network; the load imaging processing module firstly carries out format resolving processing on the transmitted data, then classifies the data according to load types, respectively processes each type of data to form displayable data for real-time display; when data is transmitted, uplink data transmitted to a satellite is transmitted into a cache through a data distribution module; the combined coding module reads data from the cache, performs scrambling, RS coding and CRC checking on the data and sends the data to the parallel-serial conversion module; the parallel-serial conversion module converts the parallel data into serial data, and the serial data and an external serial clock are sent to the satellite uplink modulator together. The invention can not meet the requirements of standardized development of a satellite-borne SAR ground satellite loading integrated test system or a ground application processing system, and can not improve the efficiency of integrated test and ground application processing.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a design method for converting satellite-borne SAR transmission channel data into imaging receiving channel data, which realizes the rapid conversion of the satellite-borne SAR transmission channel data into the imaging channel data and the standardization of the functional module.
The invention relates to a method for designing a satellite-borne SAR transmission channel data-to-image receiving channel data functional module, which comprises the following steps:
step one: matlab software and language are selected as development environments of the function module design, and a function form is selected as a model of the function module design;
step two: defining function names and input and output parameters according to the function form and the external interface content;
step three: according to the imaging receiving channel data fusion combination, a transmission channel data algorithm and a Matlab-based parallel operation toolbox are combined to develop a high-efficiency data conversion algorithm, and program development is realized by calling related commands of Matlab software;
step four: and carrying out standardized, generalized, extensible and callable packaging by adopting a packaging technology based on a componentization idea according to the developed function M file, so as to realize the interface matching and fusion of the functional module and the integrated test system.
Preferably, the first step uses Matlab software and language as the development environment of the function module design, selects the function form with input and output parameters, and is convenient for standardized, extensible and replaceable design development.
Preferably, the step two defines transmit_data_to_image_data as a function name; defining a transmission channel data transmit_data array as an input parameter; and defining the converted imaging receiving channel data image_data array as an output parameter.
Preferably, the transmit_data array is a cell array, and contains m_1 elements, each cell array element is n_1 rows×m_2 columns, where n_1 rows represent the number of transmission channels corresponding to each pulse, and m_2 columns represent the number of bytes corresponding to each transmission channel; defining the converted imaging receiving channel data image_data array as an output parameter, wherein the array is in the form of a cell array, and totally comprises M_3 elements, each cell array element is N_2 rows and M_4 columns, wherein N_2 rows represent the imaging receiving channel number corresponding to each pulse, and M_4 columns represent the byte number corresponding to each imaging receiving channel.
Preferably, in the third step, the pulses are used as a cycle unit, ii is defined as a pulse number variable, wherein ii=1:pulse_num, [ -, pulse_num ] =size (transmit_data), and the auxiliary data is firstly read to determine the number of imaging receiving channels; secondly, selecting different conversion algorithms according to the number of imaging channels, wherein the positions of the imaging channel data in the transmission channel data are calculated according to the conversion algorithms; and finally, extracting the data of each imaging channel from the data of the transmission channel according to the position information and storing the data as a cell array.
Preferably, the fourth step adopts a packaging technology to perform standardized packaging and curing on the transmit_data_to_image_data.m, so as to enable development and calling of a data processing flow and facilitate tool library management.
Preferably, the transmission_data_to_image_data.m is packaged and solidified in a standardized mode, wherein the standardized packaging and curing comprise two parts of Matlab algorithm transformation and Matlab algorithm calling.
Preferably, in the second step, a Matlab standard function form development program is adopted, first, transmission channel data is defined as input parameters, and converted imaging channel data is defined as output parameters; secondly, taking the pulse as the minimum cycle during data conversion, and directly classifying and extracting transmission channel data according to a fixed arrangement format in each cycle to form imaging receiving channel data; and finally, program development is carried out among the pulses according to the requirement conforming to the parallel operation rule.
Preferably, in the third step, the data conversion format is determined and selected according to the transmission channel data and the actual imaging receiving channel number obtained by reading the auxiliary data, and the pulse transmission channel data is classified and extracted and then stored as the imaging receiving channel data in the form of a meta-packet array.
Preferably, in the fourth step, the standardized package is designed as follows: firstly, matlab algorithm transformation is carried out, and transformation is carried out on a transmit_data_to_image_data.m file, wherein a standardized function header is added, and function output=transmit_data_to_image_data (input); secondly, an input parameter interface is added, and transmission_data=input. Thirdly, adding an output parameter interface, wherein output.image_data=image_data; and then, carrying out Matlab algorithm call, wherein a Matlab engine adopts a Client/Server (Client/Server) computing mode.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention relates to a method for designing a satellite-borne SAR transmission channel data-to-image receiving channel data function module, which aims at the transmission channel data-to-image receiving channel function module, and realizes standardized design and development of the function module by adopting Matlab software and language, applying function forms, defining input-output to external interface parameters, developing a conversion algorithm adapting to parallel operation and adopting a packaging technology based on a componentization idea;
2. according to the design method of the satellite-borne SAR transmission channel data-to-imaging receiving channel data functional module, the functional module after standardized design and development can form a test flow or a processing flow with other functional modules according to external interface parameters to complete specific tasks;
3. the design method of the satellite-borne SAR transmission channel data-to-imaging receiving channel data functional module can only upgrade the algorithm to upgrade the ground integrated test system or the ground application processing system on the basis of not changing the input-output external interface parameters of the functional module, thereby realizing the universalization and expandability of the whole ground integrated test system or the ground application system;
4. the design method of the satellite-borne SAR transmission channel data-to-imaging receiving channel data functional module mainly solves the problems of high efficiency, standardization, universalization and expandability of transmission channel data-to-imaging channel data in the satellite-borne SAR ground satellite loading integrated test or ground application processing process, meets the requirement of standardized development of a satellite-borne SAR ground satellite loading integrated test system or ground application processing system, and improves the efficiency of the integrated test and ground application processing.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings.
FIG. 1 is a schematic diagram of a method for designing a data function module for converting satellite-borne SAR transmission channel data into image receiving channel data;
fig. 2 is a design diagram of a data program algorithm for converting satellite-borne SAR transmission channel data into image receiving channel data according to the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present invention.
Examples
In this embodiment, the design method of the function module for converting satellite-borne SAR transmission channel data into imaging reception channel data is introduced as follows:
step one: matlab software and language are selected as development environments of the function module design, and a function form is selected as a model of the function module design;
step two: defining function names and input and output parameters according to the function form and the external interface content;
step three: according to the imaging receiving channel data fusion combination, a transmission channel data algorithm and a Matlab-based parallel operation toolbox are combined to develop a high-efficiency data conversion algorithm, and program development is realized by calling related commands of Matlab software;
step four: and carrying out standardized, generalized, extensible and callable packaging by adopting a packaging technology based on a componentization idea according to the developed function M file, so as to realize the interface matching and fusion of the functional module and the integrated test system.
The present invention will be described in detail below.
The invention relates to a satellite-borne SAR ground integration test or ground application processing, in particular to an imaging receiving channel data technology required by the integration test or ground application processing of standardized and generalized satellite-borne SAR transmission channel data, and relates to data format conversion in the satellite-borne SAR ground satellite integration test or ground application processing process, a design method for converting the satellite-borne SAR transmission channel data into the imaging receiving channel data based on a Matlab software function model, a Matlab language efficient parallel operation algorithm and a standardized packaging format requirement, and the design method comprises an algorithm for converting the transmission channel data into the imaging receiving channel data, a Matlab language-based standardized function development and a standardized packaging based on a modular idea. The invention aims to provide a design method for a satellite-borne SAR transmission channel data-to-imaging receiving channel data functional module, which realizes the rapid conversion of the satellite-borne SAR transmission channel data into the imaging channel data and the standardization of the functional module.
A design method for a satellite-borne SAR transmission channel data-to-image receiving channel data functional module comprises the following steps:
step one: matlab software and language are selected as development environments of the function module design, and a function form is selected as a model of the function module design;
step two: defining function names and input and output parameters according to the function form and the external interface content;
step three: according to the imaging receiving channel data fusion combination, a transmission channel data algorithm and a Matlab-based parallel operation toolbox are combined to develop a high-efficiency data conversion algorithm, and program development is realized by calling related commands of Matlab software;
step four: and carrying out standardized, generalized, extensible and callable packaging by adopting a packaging technology based on a componentization idea according to the developed function M file, so as to realize the interface matching and fusion of the functional module and the integrated test system.
Preferably, the Matlab software and the language are selected as development environments for designing the functional modules, and the mature, stable and efficient operation performance is optimized; secondly, the simple and various commands are optimized; and thirdly, the function form with input and output parameters is optimized, so that standardized, extensible and replaceable design development is facilitated.
Preferably, the step two defines transmit_data_to_image_data as a function name; defining a transmission channel data transmit_data array as an input parameter, wherein the transmit_data is a cell array and contains M_1 elements, each cell array element is N_1 rows and M_2 columns, wherein N_1 rows represent the number of transmission channels corresponding to each pulse, and M_2 columns represent the number of bytes corresponding to each transmission channel; defining the converted imaging receiving channel data image_data array as an output parameter, wherein the array is in the form of a cell array, and totally comprises M_3 elements, each cell array element is N_2 rows and M_4 columns, wherein N_2 rows represent the imaging receiving channel number corresponding to each pulse, and M_4 columns represent the byte number corresponding to each imaging receiving channel.
Preferably, the third step defines ii as a pulse number variable with pulses as a cyclic unit, wherein ii=1:pulse_num, [ -, pulse_num ] =size (transmit_data). Firstly, reading auxiliary data to judge the number of imaging receiving channels; secondly, selecting different conversion algorithms according to the number of imaging channels, wherein the positions of the imaging channel data in the transmission channel data are calculated according to the conversion algorithms; and finally, extracting the data of each imaging channel from the data of the transmission channel according to the position information and storing the data as a cell array.
Preferably, the fourth step adopts a packaging technology based on a componentization idea to perform standardized packaging and curing on the transmit_data_to_image_data.m, and mainly comprises two parts of Matlab algorithm transformation and Matlab algorithm calling.
More specifically, the main content of the invention is:
1. data format conversion algorithm design
And judging and selecting a data conversion format according to the actual imaging receiving channel number obtained by the transmission channel data and the reading auxiliary data, classifying and extracting the pulse transmission channel data, and storing the pulse transmission channel data as the imaging receiving channel data in a meta-packet array mode.
2. function design
Adopting a Matlab standard function formation development program, firstly defining transmission channel data (in the form of a tuple of the element packets) as input parameters, and defining converted imaging channel data (in the form of the tuple of the element packets) as output parameters; secondly, taking the pulse as the minimum cycle during data conversion, and directly classifying and extracting transmission channel data according to a fixed arrangement format in each cycle to form imaging receiving channel data; and finally, program development is carried out among the pulses according to the requirement conforming to the parallel operation rule.
3. Standardized package design
Firstly, matlab algorithm transformation is carried out, and is mainly carried out aiming at a transmission_data_to_image_data.m file, wherein a standardized function header is added, and function output=transmission_data_to_image_data (input); secondly, an input parameter interface is added, and transmission_data=input. And thirdly, adding an output parameter interface, wherein the output image data=image data. And then, carrying out Matlab algorithm call, wherein a Matlab engine adopts a Client/Server (Client/Server) computing mode. In the software, the Qt program as a client transmits commands and data to the Matlab engine and receives the calculated return results and data from the engine. The Matlab engine is used as a server, and after receiving related commands and data, the Matlab engine calls a parallel tool box to perform distributed parallel computation in the background.
In summary, the design method of the satellite-borne SAR transmission channel data-to-image receiving channel data function module aims at the transmission channel data-to-image receiving channel function module, and standardized design and development of the function module are realized by adopting Matlab software and language, applying function forms, defining input-output to external interface parameters, developing a conversion algorithm adapting to parallel operation and adopting packaging technology based on componentization thought; according to the design method of the satellite-borne SAR transmission channel data-to-imaging receiving channel data functional module, the functional module after standardized design and development can form a test flow or a processing flow with other functional modules according to external interface parameters to complete specific tasks; the design method of the satellite-borne SAR transmission channel data-to-imaging receiving channel data functional module can only upgrade the algorithm to upgrade the ground integrated test system or the ground application processing system on the basis of not changing the input-output external interface parameters of the functional module, thereby realizing the universalization and expandability of the whole ground integrated test system or the ground application system; the design method of the satellite-borne SAR transmission channel data-to-imaging receiving channel data functional module mainly solves the problems of high efficiency, standardization, universalization and expandability of transmission channel data-to-imaging channel data in the satellite-borne SAR ground satellite loading integrated test or ground application processing process, meets the requirement of standardized development of a satellite-borne SAR ground satellite loading integrated test system or ground application processing system, and improves the efficiency of the integrated test and ground application processing.
The foregoing describes specific embodiments of the present invention. It is to be understood that the invention is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the invention. The embodiments of the present application and features in the embodiments may be combined with each other arbitrarily without conflict.
Claims (4)
1. The design method of the satellite-borne SAR transmission channel data conversion imaging receiving channel functional module is characterized by comprising the following steps of:
step one: matlab software and language are selected as development environments of the function module design, and a function form is selected as a model of the function module design;
step two: defining function names and input and output parameters according to the function form and the external interface content; defining transmit_data_to_image_data as a function name; defining a transmission channel data transmit_data array as an input parameter; defining the converted imaging receiving channel data image_data array as an output parameter; the transmit_data array is a cell array, and contains M_1 elements in total, wherein each cell element is N_1 rows and M_2 columns, N_1 rows represent the number of transmission channels corresponding to each pulse, and M_2 columns represent the number of bytes corresponding to each transmission channel; defining a converted imaging receiving channel data image_data array as an output parameter, wherein the array is in the form of a cell array, and totally comprises M_3 elements, each cell element is in the form of N_2 rows and M_4 columns, wherein N_2 rows represent the number of imaging receiving channels corresponding to each pulse, and M_4 columns represent the number of bytes corresponding to each imaging receiving channel;
step three: according to the imaging receiving channel data fusion combination, a transmission channel data algorithm and a Matlab-based parallel operation toolbox are combined to develop a high-efficiency data conversion algorithm, and program development is realized by calling related commands of Matlab software; specifically, with pulses as a cyclic unit, define ii as a pulse number variable, where ii=1:pulse_num, [ -, pulse_num ] =size (transmit_data), first read auxiliary data to determine the imaging reception channel number; secondly, selecting different conversion algorithms according to the number of imaging channels, wherein the positions of the imaging channel data in the transmission channel data are calculated according to the conversion algorithms; finally, extracting the data of each imaging channel from the data of the transmission channel according to the position information and storing the data as a cell array;
step four: according to the developed function M file, adopting a packaging technology based on a componentization idea to carry out standardized, generalized, extensible and callable packaging, and realizing the interface matching and fusion of the functional module and the integrated test system; specifically, a packaging technology is adopted to carry out standardized packaging and solidification on the transmission_data_to_image_data.m, wherein the standardized packaging and solidification comprises two parts of content of Matlab algorithm transformation and Matlab algorithm calling; the tool library management system is used for developing and calling a data processing flow and is convenient for tool library management;
the standardized package design is as follows: firstly, matlab algorithm transformation is carried out, and transformation is carried out on a transmit_data_to_image_data.m file, wherein a standardized function header is added, and function output=transmit_data_to_image_data (input); secondly, an input parameter interface is added, and transmission_data=input. Thirdly, adding an output parameter interface, wherein output.image_data=image_data; and secondly, carrying out Matlab algorithm call, wherein a Matlab engine adopts a client/server computing mode.
2. The method for designing the function module of the satellite-borne SAR transmission channel data conversion imaging receiving channel as claimed in claim 1, wherein the step one uses Matlab software and language as development environment of the function module design, and selects a function form with input and output parameters, thereby facilitating standardized, extensible and replaceable design development.
3. The method for designing a satellite-borne SAR transmission channel data-to-imaging receiving channel functional module according to claim 1, wherein in the second step, a Matlab standard function formation development program is adopted, transmission channel data is defined as input parameters first, and converted imaging channel data is defined as output parameters; secondly, taking the pulse as the minimum cycle during data conversion, and directly classifying and extracting transmission channel data according to a fixed arrangement format in each cycle to form imaging receiving channel data; and finally, program development is carried out among the pulses according to the requirement conforming to the parallel operation rule.
4. The method for designing a function module for converting satellite-borne SAR transmission channel data into imaging receiving channels as set forth in claim 1, wherein in the third step, the data conversion format is determined and selected according to the actual number of imaging receiving channels obtained by the transmission channel data and the read auxiliary data, the pulse transmission channel data is classified and extracted, and then the pulse transmission channel data is stored as the imaging receiving channel data in the form of a cell array.
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