CN116340884A - System and method for efficiently fusing and processing on-board multi-source load data - Google Patents
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Abstract
The invention provides a system and a method for efficiently fusing and processing on-board multi-source load data, wherein the system comprises the following steps: the co-processing module is used for extracting target characteristics according to the received target related data and performing data interaction with the fusion processing module according to a target extraction result; the fusion processing module is used for carrying out track association and fusion according to the received target extraction result and carrying out data interaction with the co-processing module; the task management module is used for respectively carrying out data interaction with the co-processing module, the fusion processing module and the comprehensive electronic unit according to the received remote control, telemetry data or uploading data and the like; the power module is used for supplying power to the co-processing module, the fusion processing module and the task management module. The on-board multi-source data high-efficiency fusion processing system disclosed by the invention has the fusion processing capacity of visible light, infrared, electronic investigation and SAR multi-source load and the normal working capacity and the system reconfigurable capacity under the space radiation condition.
Description
Technical Field
The invention relates to the field of spacecraft data processing, in particular to an on-board multi-source load data efficient fusion processing system and method.
Background
The on-board fusion processing is a key link for realizing high-timeliness information support, and has extremely strict requirements on information precision and timeliness. Because no link of manual participation in confirmation exists, the target discovery, identification and confirmation are automatically completed on the satellite, and higher requirements are put on the precision of an on-board processing algorithm and the confidence and efficiency of an analysis result. Limited by objective conditions such as storage space, computing power, satellite-to-ground data transmission bandwidth, on-board energy and the like, the tasks that small-sized satellites and single satellites can complete are limited, and the requirements of increasing mass data processing and high-timeliness information support cannot be met. Under the condition, the multi-satellite resource sharing is realized through the satellite networking and the distributed fusion, so that the on-board processing task is effectively expanded, and the application requirement of on-board real-time processing is met.
Therefore, the on-board multi-source data fusion processing is a key link of high-timeliness information support, is a requirement for improving the quality and accuracy of multi-load target information, and is a foundation stone for the development of the integrated and intelligent autonomous capacity of the world. At present, the interested target feature research and fusion algorithm are mainly oriented to ground processing, and the feature research and target fusion algorithm research suitable for on-board processing are still in a starting stage. Therefore, on the basis of the multi-source multi-dimensional characteristics of the targets suitable for on-orbit processing, an on-board efficient fusion processing system architecture is provided, reliability of on-board processing results is further improved through multi-satellite data fusion and multi-load data fusion processing, target detection and identification confidence is improved, and a technical foundation is laid for comprehensively and cooperatively utilizing space-based resources in the future and greatly improving satellite reconnaissance capability of heavy and difficult targets in a full-countermeasure environment.
Disclosure of Invention
Aiming at the requirement that the on-board multi-source sensor is utilized to further improve the target detection and identification confidence in the prior art, the application provides an on-board multi-source load data efficient fusion processing system and method. A first aspect of the present application provides an on-board multi-source load data efficient fusion processing system, including: the system comprises a co-processing module, a fusion processing module, a task management module and a power supply module;
the co-processing module is used for extracting target characteristics according to the received target related data and performing data interaction with the fusion processing module according to a target extraction result;
the fusion processing module is used for carrying out track association and fusion according to the received target extraction result and carrying out data interaction with the co-processing module;
the task management module is used for respectively carrying out data interaction with the co-processing module, the fusion processing module and the comprehensive electronic unit according to the received remote control, telemetry data or uploading data; the power supply module is used for supplying power to the co-processing module, the fusion processing module and the task management module;
preferably, the co-processing module comprises a first FPGA;
the input end of the first FPGA is used for receiving the target related data, carrying out protocol analysis and data preprocessing, and then carrying out target feature extraction and output to the fusion processing module;
the target related data comprise load slices and characteristic data including visible light, infrared light, electronic reconnaissance and SAR;
the target extraction result comprises: the visible light loading and/or infrared loading and/or SAR loading and/or electronic scout loading are characteristic of the geometry, texture, orientation, position of the object of interest.
Preferably, the co-processing module further comprises a first antifuse FPGA;
the first antifuse FPGA is used for receiving a management instruction of the task management module;
the first telemetry data generated by the first FPGA is sent to the task management module;
and the first antifuse FPGA is used for performing readback refreshing on the first FPGA.
Preferably, the fusion processing module comprises a second FPGA, a third FPGA and a digital signal processor;
the second anti-fuse FPGA is respectively connected with the digital signal processor, the second FPGA 1 and the third FPGA, and the digital signal processor is respectively connected with the second FPGA 1 and the third FPGA;
the input ends of the second FPGA and the third FPGA are used for receiving the target extraction result of the co-processing module through a bus interface to execute format analysis of multi-source data and multi-target associated tasks;
the digital signal processor is used for realizing multi-load and multi-time information multi-target fusion according to the execution result;
the second FPGA is used for sending the fusion result to the broadcast distribution unit.
Preferably, the fusion processing module further comprises a second antifuse FPGA;
the second antifuse FPGA is used for receiving the remote control instruction through a bus interface;
the digital signal processor, the second FPGA 1 and the third FPGA are used for outputting second telemetry data according to the received remote control instruction and sending the second telemetry data to the task management module;
and the second antifuse FPGA is used for performing read-back refreshing on the second FPGA and the third FPGA.
Preferably, the task management module comprises a third antifuse FPGA and a central processor;
the third antifuse FPGA is respectively connected with the integrated electronic unit, the central processing unit and the bus interface;
the third antifuse FPGA is used for receiving the remote control instruction and the second telemetry data and caching;
the integrated electronic unit is used for multiplexing the cached third telemetry data;
and the third telemetry data is input by the co-processing module and the fusion processing module.
Preferably, the central processing unit of the task management module is configured to receive the program or parameter of the uploading according to the remote control instruction, and reconstruct and update the system.
Preferably, the first FPGA, the second FPGA, or the third FPGA are all SRAM type.
Preferably, the remote control instructions are configured to be output by the integrated electronics unit and/or the task management module.
In a second aspect of the present application, there is provided an on-board multi-source load data efficient fusion processing system for signing any one of the on-board multi-source load data efficient fusion processing systems, the method comprising:
step S1: extracting target characteristics according to the received target related data, and performing data interaction with the fusion processing module according to a target extraction result;
step S2: performing track association and fusion according to the received target extraction result, and performing data interaction with the co-processing module;
step S3: respectively carrying out data interaction with the co-processing module, the fusion processing module and the comprehensive electronic unit according to the received remote control, telemetry data or uploading data;
the power module is used for supplying power to the co-processing module, the fusion processing module and the task management module.
Through the technical scheme that this application put forward, possess following beneficial technical effect at least:
through the on-board multi-source load data high-efficiency fusion processing system provided by the application, the fusion processing capability of visible light, infrared, electronic investigation and SAR multi-source load and the capability of normal operation and system reconfiguration under the space radiation condition are simultaneously provided, the confidence degree of interested target detection and recognition can be effectively improved, and the satellite real-time investigation capability of heavy and difficult targets is improved.
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Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 illustrates a block diagram of an on-board multi-source payload data efficient fusion processing system, in accordance with an embodiment of the present application;
FIG. 2 illustrates a schematic block diagram of a co-processing module, according to an embodiment of the present application;
FIG. 3 illustrates a schematic block diagram of a fusion processing module, according to an embodiment of the present application;
FIG. 4 illustrates a schematic block diagram of a task management module, according to an embodiment of the present application;
FIG. 5 illustrates a flow chart of an on-board multi-source payload data efficient fusion processing method, according to an embodiment of the application.
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 fall within the scope of the present invention.
The term "comprising" and variations thereof as used herein means open ended, i.e., "including but not limited to. The term "or" means "and/or" unless specifically stated otherwise. The term "based on" means "based at least in part on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment. The term "another embodiment" means "at least one additional embodiment". The terms "first," "second," and the like, may refer to different or the same object. Other explicit and implicit definitions are also possible below.
In order to realize the problem that feature research and target fusion algorithm research suitable for on-board processing in the application are still in the phase of starting, the application provides an on-board multi-source load data efficient fusion processing system and method, which have the fusion processing capacity of visible light, infrared, electronic investigation and SAR multi-source load and the normal working and system reconstruction capacity under the space radiation condition, and can effectively improve the confidence level of target detection and identification of interest and improve the satellite real-time investigation capacity of heavy and difficult targets.
Specifically, as shown in fig. 1, according to an embodiment of the present application, a block diagram of an on-board multi-source load data efficient fusion processing system is shown, where the system may specifically include: the system comprises a co-processing module 100, a fusion processing module 200, a task management module 300 and a power module 400;
the co-processing module 100 is configured to perform target feature extraction according to the received target related data, and perform data interaction with the fusion processing module 200 according to a target extraction result;
the fusion processing module 200 is used for performing track association and fusion according to the received target extraction result, and performing data interaction with the co-processing module 100;
the task management module 300 is configured to perform data interaction with the co-processing module 100, the fusion processing module 200, and the integrated electronic unit according to the received remote control, telemetry data, or uploading data, respectively; the power module 400 is used for supplying power 300 to the co-processing module 100, the fusion processing module 200, and the task management module.
The co-processing module 100 is in communication with the fusion module 200, and the task management module 300 is in communication with the co-processing module 100 and the fusion processing module 200, respectively.
In an embodiment of the present application, the data included in the communication connection may be transmitted through the TLK2711 interface.
Specifically, fig. 2 shows a schematic block diagram of a co-processing module according to an embodiment of the present application, where the co-processing module includes:
the input end of the first FPGA is used for receiving target related data, carrying out protocol analysis and data preprocessing, and then carrying out target feature extraction and output to the fusion processing module 200;
the target related data comprise load slices and characteristic data including visible light, infrared light, electronic reconnaissance and SAR;
the target extraction result includes: the visible light loading and/or infrared loading and/or SAR loading and/or electronic scout loading are characteristic of the geometry, texture, orientation, position of the object of interest.
The first anti-fuse FPGA is used for receiving the management instruction of the task management module;
the first telemetry data generated by the first FPGA is sent to the task management module 300;
and the first anti-fuse FPGA performs read-back refreshing on the SRAM type first FPGA, so that the space radiation single event effect can be resisted.
Specifically, the co-processing module 100 mainly includes a first FPGA of SRAM type, a first antifuse FPGA, DDR, NOR FLASH, NAND FLASH, PROM, LVDS, TLK2711 to implement track-related data processing.
Specifically, the input end of the SRAM type first FPGA receives target related data such as multi-source load slices including visible light, infrared, electronic reconnaissance, SAR and the like and characteristic data through a high-speed serial chip, and the first antifuse FPGA is connected with the SRAM type first FPGA; after receiving the visible light, infrared, electronic reconnaissance, SAR and other multi-source load slices and characteristic data, the SRAM type first FPGA performs protocol analysis and data preprocessing, then performs target characteristic extraction, and each extracted load related characteristic is sent to the fusion processing module 200 through the high-speed serial bus by the SRAM type first FPGA.
In one embodiment of the present application, the target-related data mainly includes: the visible light loads the geometric, texture, direction, position characteristics and the like of the interested target; the geometry, direction, position characteristics, etc. of the infrared load interest target; SAR load interest target geometry, direction, position features, etc.; electronically detecting the electrons, location features, etc. of the object of interest to the load.
In an embodiment of the present application, the first antifuse FPGA receives a remote control instruction such as remote control, telemetry data or uploading data from the task management module through the bus interface, and forwards the remote control instruction to the SRAM type first FPGA, and simultaneously receives the first telemetry data from the SRAM type first FPGA, and sends the first telemetry data to the task management module 300.
Fig. 3 is in accordance with an embodiment of the present application. A schematic block diagram of a fusion processing module is shown. Specifically, the fusion processing module 200 includes a second FPGA, a third FPGA, and a digital signal processor;
the second anti-fuse FPGA is respectively connected with the digital signal processor, the second FPGA and the third FPGA, and the digital signal processor is respectively connected with the second FPGA and the third FPGA;
the input ends of the second FPGA and the third FPGA are used for receiving the target extraction result of the co-processing module through the bus interface and executing format analysis of multi-source data and multi-target associated tasks;
the digital signal processor is used for realizing multi-load and multi-time information multi-target fusion according to the execution result;
the second FPGA is used for sending the fusion result to the broadcast distribution unit.
Preferably, the fusion processing module further comprises a second antifuse FPGA;
the second anti-fuse FPGA is used for receiving remote control instructions such as remote control data or uploading data through the bus interface;
the digital signal processor, the second FPGA 1 and the third FPGA are used for outputting second telemetry data according to the received remote control instructions such as remote control, telemetry data or uploading data and the like and sending the second telemetry data to the task management module; and the third antifuse FPGA performs read-back refreshing on the SRAM type second FPGA and the third FPGA, so that the space radiation single event effect can be resisted.
In an embodiment of the present application, the fusion processing module 200 mainly includes an SRAM type second FPGA, an SRAM type FPGA2, a third antifuse FPGA, and a high-performance digital signal processor, DDR, FLASH, LVDS, TLK2711, and is used for data transmission and fusion, and data interaction and other processing of the co-processing module 100 and the task processing module 200.
Specifically, the input ends of the second and third SRAM type FPGAs receive the target extraction result and the target characteristics extracted by the co-processing module 100 through a bus interface, the third antifuse FPGA is respectively connected with the digital signal processor, the second and third SRAM type FPGAs, and the digital signal processor is respectively connected with the second and third SRAM type FPGAs; the second FPGA and the third FPGA of the SRAM type receive the target feature input extracted by the co-processing module 100 respectively to perform tasks such as format analysis of multi-source data and multi-target association, and the high-performance digital signal processor completes fusion processing, and the output fusion result is sent to the broadcast distribution unit through the TLK2711 interface by the FPGA 1.
In an embodiment of the present application, the third antifuse FPGA receives remote control instructions such as remote control, telemetry data or uploading data from the task management module through the bus interface, and forwards the remote control instructions to the digital signal processor, the SRAM type second FPGA, and the SRAM type third FPGA, and simultaneously receives the second telemetry data from the digital signal processor, the SRAM type second FPGA, and the third FPGA, and sends the second telemetry data to the task management module.
Specifically, fig. 4 illustrates a schematic block diagram of a task management module, and the task management module 300 may include: a third antifuse FPGA and a Central Processing Unit (CPU);
the third antifuse FPGA is respectively connected with the integrated electronic unit, the Central Processing Unit (CPU) and a bus interface;
the third antifuse FPGA is used for receiving remote control instructions such as remote control, telemetry data or uploading data and the like, and caching second telemetry data;
the integrated electronic unit is used for multiplexing the cached third telemetry data;
and the third telemetry data is input by the co-processing module and the fusion processing module.
Specifically, the target task processing and the data interaction with the co-processing module 100 and the fusion processing module 200 are realized through a third antifuse FPGA, a high-performance, radiation-resistant Central Processing Unit (CPU), DDR, FLASH, MRAM, SRAM, 1553B serial bus, and the like.
The third antifuse FPGA is respectively connected with the integrated electronic unit, the high-performance Central Processing Unit (CPU) and the bus interface;
specifically, the third antifuse FPGA receives a remote control instruction of the integrated electronic unit through the serial bus, and sends the remote control instruction to the Central Processing Unit (CPU), and at the same time, the third antifuse FPGA receives third telemetry data input by the co-processing module 200 and the fusion processing module 100, caches the third telemetry data, and then multiplexes the third telemetry data to output the third telemetry data to the integrated electronic unit.
In an embodiment of the present application, a Central Processing Unit (CPU) performs task management and control, and is responsible for task allocation, scheduling and reloading, program and parameter uploading, and other tasks of the whole single machine.
In an embodiment of the present application, the central processor of the task management module is configured to receive the program or parameter of the uploading according to the remote control command, and reconstruct and update the system.
In an embodiment of the present application, the first FPGA or the second FPGA or the third FPGA is of SRAM type.
In one embodiment of the present application, the remote control instructions are configured to be output by the integrated electronics unit and/or the task management module.
In an embodiment of the present application, the on-board multi-source load data efficient fusion processing system includes components such as SRAM type FPGA, antifuse FPGA, high performance DSP, DDR, TLK2711 receiving, TLK2711 transmitting interface, etc., and considering product versatility, the SRAM type first/second/third FPGA may be a K7 series FPGA of Xilinx company, and the digital processor (DSP) may be an eight-core floating point TMS320C6678YPA25 of TI company; the DSP is 8-core floating point TMS320C6678YPA25, is the highest-performance device based on the KeyStone architecture at present, the single-core main frequency can be up to 1.25G, and the floating point computing capacity can be up to 20GFLOP; the first/second/third antifuse FPGA is A54SX72 of Actel company, and the CPU is an anti-radiation chip BM3823 of space 772; the person skilled in the art can select and set the model, parameters and the like according to actual needs, and the method is not limited herein.
In some embodiments of the present application, there is further provided a method for efficient fusion processing of on-board multi-source load data, where the method is applied to the system related to the foregoing embodiments, and fig. 5 shows a flowchart of the method for efficient fusion processing of on-board multi-source load data, including:
step S1: extracting target characteristics according to the received target related data, and performing data interaction with the fusion processing module according to a target extraction result;
step S2: performing track association and fusion according to the received target extraction result, and performing data interaction with the co-processing module;
step S3: respectively carrying out data interaction with the co-processing module, the fusion processing module and the comprehensive electronic unit according to the received remote control instruction;
the power module is used for supplying power to the co-processing module, the fusion processing module and the task management module.
It can be understood that the functions executed by each step flow in the above-mentioned on-board multi-source load data efficient fusion processing method are the same as those of the on-board multi-source load data efficient fusion processing system in the foregoing embodiment, and are not described herein.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvements in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. An on-board multi-source load data efficient fusion processing system, comprising: the system comprises a co-processing module, a fusion processing module, a task management module and a power supply module;
the co-processing module is used for extracting target characteristics according to the received target related data and performing data interaction with the fusion processing module according to a target extraction result;
the fusion processing module is used for carrying out track association and fusion according to the received target extraction result and carrying out data interaction with the co-processing module;
the task management module is used for respectively carrying out data interaction with the co-processing module, the fusion processing module and the comprehensive electronic unit according to the received remote control, telemetry data or uploading data; the power module is used for supplying power to the co-processing module, the fusion processing module and the task management module.
2. The on-board multi-source load data efficient fusion processing system of claim 1, wherein the co-processing module comprises a first FPGA;
the input end of the first FPGA is used for receiving the target related data, carrying out protocol analysis and data preprocessing, and then carrying out target feature extraction and output to the fusion processing module;
the target related data comprise load slices and characteristic data including visible light, infrared light, electronic reconnaissance and SAR;
the target extraction result comprises: the visible light loading and/or infrared loading and/or SAR loading and/or electronic scout loading are characteristic of the geometry, texture, orientation, position of the object of interest.
3. The on-board multi-source load data efficient fusion processing system of claim 2, wherein the co-processing module further comprises a first antifuse FPGA;
the first antifuse FPGA is used for receiving a management instruction of the task management module;
the first telemetry data generated by the first FPGA is sent to the task management module;
and the first antifuse FPGA is used for performing readback refreshing on the first FPGA.
4. The on-board multi-source load data efficient fusion processing system according to claim 1, wherein the fusion processing module comprises a second FPGA 1, a third FPGA2 and a digital signal processor;
the second anti-fuse FPGA is respectively connected with the digital signal processor, the second FPGA and the third FPGA, and the digital signal processor is respectively connected with the second FPGA and the third FPGA;
the input ends of the second FPGA and the third FPGA are used for receiving the target extraction result of the co-processing module through a bus interface and executing format analysis of multi-source data and multi-target associated tasks;
the digital signal processor is used for realizing multi-load and multi-time information multi-target fusion according to the execution result;
the second FPGA is used for sending the fusion result to the broadcast distribution unit.
5. The on-board multi-source payload data efficient fusion processing system of claim 4, wherein the fusion processing module further comprises a second antifuse FPGA;
the second antifuse FPGA is used for receiving the remote control instruction through a bus interface;
the digital signal processor, the second FPGA and the third FPGA are used for outputting second telemetry data according to the received remote control instruction and sending the second telemetry data to the task management module;
and the second antifuse FPGA is used for performing read-back refreshing on the second FPGA and the third FPGA.
6. The on-board multi-source load data efficient fusion processing system according to claim 1, wherein the task management module comprises a third antifuse FPGA and a central processor;
the third antifuse FPGA is respectively connected with the integrated electronic unit, the central processing unit and the bus interface;
the third antifuse FPGA is used for receiving the remote control instruction and the second telemetry data and caching;
the integrated electronic unit is used for multiplexing the cached third telemetry data;
and the third telemetry data is input by the co-processing module and the fusion processing module.
7. The system of claim 1, wherein the central processor of the task management module is configured to receive a program or a parameter of the uploading according to the remote control command, and perform reconstruction update on the system.
8. The on-board multi-source load data efficient fusion processing system according to any one of claims 2-7, wherein the first FPGA, the second FPGA, or the third FPGA are all of SRAM type.
9. An on-board multi-source payload data efficient fusion processing system as defined in any one of claims 1-7, wherein the remote control instructions are configured to be output by the integrated electronics unit and/or the task management module.
10. An on-board multi-source load data efficient fusion processing method, which is applied to an on-board multi-source load data efficient fusion processing system as claimed in any one of claims 1-9, and is characterized in that the method comprises the following steps:
step S1: extracting target characteristics according to the received target related data, and performing data interaction with the fusion processing module according to a target extraction result;
step S2: performing track association and fusion according to the received target extraction result, and performing data interaction with the co-processing module;
step S3: respectively carrying out data interaction with the co-processing module, the fusion processing module and the comprehensive electronic unit according to the received remote control instruction;
the power module is used for supplying power to the co-processing module, the fusion processing module and the task management module.
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| CN117668926B (en) * | 2024-02-02 | 2024-04-30 | 中国电子信息产业集团有限公司第六研究所 | Data processing method and safety protection system |
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