Space-based intelligent electromagnetic spectrum sensing system

Abstract

The present invention discloses a space-based intelligent electromagnetic spectrum sensing system, which includes a spectrum signal monitoring and sensing front end, an on-board intelligent heterogeneous computing platform, an on-board operating system, a high-speed broadband electromagnetic signal processing algorithm, and a visualization module; the spectrum signal monitoring and sensing front end is implemented based on a multi-band antenna group, provides real-time electromagnetic spectrum monitoring data of the Earth's electromagnetic space, and sends it to the on-board intelligent heterogeneous computing platform; the on-board intelligent heterogeneous computing platform provides on-board intelligent computing power; the on-board operating system runs on the on-board intelligent heterogeneous computing platform, combines on-board applications of redundancy technology, virtualization technology, and checkpoint technology to improve reliability and fault tolerance capabilities, and provides full life cycle management of on-board application programs; the high-speed broadband electromagnetic signal processing algorithm and visualization module, based on unsupervised clustering algorithms and time-frequency difference positioning technologies, realizes multi-phase filtering channelization reception, division, and parameter estimation of high-speed data, obtains signal parameter description words, and realizes visual description.

Description

Technical Field

[0001] The present invention belongs to the technical field of on-orbit applications of intelligent computing, and particularly relates to a space-based intelligent electromagnetic spectrum sensing system. Background Art

[0002] As an important part of the earth's space, the electromagnetic space has become the sixth dimension of space after land, sea, air, space, and network, and runs through the other five dimensions. The efficient utilization of electromagnetic spectrum resources is of strategic significance for various aspects such as economic development and scientific and technological progress. However, with the explosive growth of the number of global electromagnetic devices, the electromagnetic space has become increasingly complex. At present, the monitoring of the electromagnetic spectrum mainly relies on land-based platforms. However, due to the line-of-sight limitation, it is difficult to meet the wide-area coverage requirement, and in the face of a large amount of electromagnetic data, the existing land-based systems lack intelligent and efficient data processing capabilities, and there is an urgent need for a more intelligent and global spectrum management solution.

[0003] Space-based monitoring technology has become an ideal choice to meet the global spectrum monitoring requirements due to its advantages of wide coverage, strong monitoring ability, and high-altitude perspective. At the same time, traditional space-based spectrum monitoring equipment still faces many technical bottlenecks in the face of the increasingly complex electromagnetic environment, including how to achieve wide-area multi-band, full-coverage high-sensitivity signal monitoring, how to perform intelligent and efficient data analysis when processing a large number of electromagnetic signals, and how to achieve the best balance between real-time performance and accuracy to support spectrum management and decision-making in a dynamic electromagnetic environment.

[0004] To overcome these challenges, current technological innovation is gradually turning to the combination of artificial intelligence and space-based monitoring technology, breaking through the limitations of traditional spectrum monitoring through intelligent algorithms and heterogeneous computing platforms. Intelligent analysis significantly improves the efficiency and accuracy of spectrum management. The global coverage ability and high degree of automation of space-based platforms make it a key path to solve future electromagnetic spectrum management problems. Summary of the Invention

[0005] The purpose of the present invention is to overcome the defects of the prior art and propose a space-based intelligent electromagnetic spectrum sensing system.

[0006] To achieve the above purpose, the present invention provides a space-based intelligent electromagnetic spectrum sensing system, including: a spectrum signal monitoring and sensing front end, an on-board intelligent heterogeneous computing platform, an on-board operating system, and a high-speed broadband electromagnetic signal processing algorithm and visualization module;

[0007] The spectrum signal monitoring and sensing front end is implemented based on a multi-band antenna group, a radio frequency front end, and an electromagnetic signal processing FPGA, and is used to provide real-time electromagnetic spectrum monitoring data of the earth's electromagnetic space and send it to the on-board intelligent heterogeneous computing platform for processing;

[0008] The on-board intelligent heterogeneous computing platform is used to provide on-board intelligent computing power;

[0009] The on-board operating system runs on the on-board intelligent heterogeneous computing platform and combines redundant technology, virtualization technology, and checkpoint technology for on-board applications to improve reliability and fault tolerance in the space radiation environment. It is also used to provide full-life cycle management of on-board application programs;

[0010] The high-speed broadband electromagnetic signal processing algorithm and visualization module are used to realize multi-phase filtering channelization reception, division, and parameter estimation of high-speed data based on unsupervised clustering algorithms and time-frequency difference positioning technology, obtain signal parameter descriptors, and realize visual description.

[0011] Preferably, the multi-band antenna group includes: an omnidirectional antenna, a horn antenna, a phased array antenna, and a parabolic antenna; among them,

[0012] The omnidirectional antenna is responsible for the VHF, UHF, and L bands;

[0013] The horn antenna is responsible for the Ku and Ka bands;

[0014] The phased array antenna is responsible for the L, S, and C bands;

[0015] The parabolic antenna is responsible for the S, C, and X bands.

[0016] Preferably, the processing process of the RF front-end includes:

[0017] Amplify the received signal in power, obtain the baseband processing signal after passing through a down-converter and an anti-aliasing filter; then perform multi-channel dynamic digitization and parallel data processing on the multi-channel baseband processing signals through a high-speed analog-to-digital conversion chip, complete the serial-to-parallel conversion and narrowband division of the data, and realize signal deceleration.

[0018] Preferably, the processing process of the electromagnetic spectrum signal processing FPGA includes:

[0019] Accumulate the time-frequency domain energy in the channel, set adaptive constant false alarm detection, perform real-time spectrum analysis on the arrival time and signal amplitude of the measurement signal, estimate parameters such as the instantaneous carrier frequency and bandwidth of the signal, and generate signal parameter descriptors for transmission to the on-board intelligent heterogeneous computing platform.

[0020] Preferably, the on-board intelligent heterogeneous computing platform adopts a heterogeneous computing architecture based on CPU, GPU, and FPGA. The GPU serves as the main processor and is responsible for real-time aliased signal separation and de-interleaving processing, blind source separation, direction of arrival detection, passive positioning, and electromagnetic spectrum sensing and mapping; the FPGA is responsible for data transmission between modules, parameter estimation processing, and precise process control.

[0021] Preferably, the processing of the on-board operating system includes:

[0022] Implementing a triple modular redundancy mechanism with dynamic refresh at the system layer; achieving fault recovery of on-board applications based on virtualization technology and checkpoints at the application layer; supporting the extension of on-board applications based on an intelligent application management framework; providing a lightweight and isolated operating environment based on container technology to achieve autonomous installation, startup, update, uninstallation, restart, stop, status monitoring, and fault tolerance functions of on-board application software.

[0023] Preferably, the processing process of the high-speed broadband electromagnetic signal processing algorithm and visualization module includes:

[0024] Deploying an unsupervised clustering algorithm to dilute the density of mixed complex signals; applying fractal dimension and high-order cumulants to extract the in-pulse modulation characteristics of signals, and fusing the inter-pulse characteristics for signal blind source separation;

[0025] Sorting electromagnetic waves according to the radio frequency signal frequencies collected by the spectrum signal monitoring and sensing front end to complete electromagnetic spectrum mapping, and selecting spatial spectrum estimation techniques such as multiple signal classification or rotational invariance subspace decomposition for direction estimation based on the amount of electromagnetic signals to estimate the directions of multiple simultaneously arriving signal sources;

[0026] Using time-frequency difference positioning technology to cooperate and match cluster received signals, comparing the arrival times and arrival frequency values of different satellites and emission sources, and calculating the position of the emission source;

[0027] Using the lateral intersection positioning method to jointly measure the DOA of multi-station radiation sources, perform time-frequency information matching, eliminate false positioning points, and solve the three-dimensional positions of multi-target radiation sources.

[0028] Compared with the prior art, the advantages of the present invention are as follows:

[0029] 1. Space deployment of a highly reliable artificial intelligence platform and fault tolerance technology

[0030] Artificial intelligence technology mainly uses GPUs to provide computing power. General GPUs are extremely vulnerable to the space radiation environment, and the energy source of spacecraft is limited. How to balance system reliability, computing efficiency, and power consumption is a major technical difficulty in the deployment of artificial intelligence technology in the space environment. The present invention has developed an on-board intelligent heterogeneous computing platform, designed and completed a highly reliable on-board operating system for intelligent computing, improved the traditional triple modular redundancy technology, designed a hybrid triple modular redundancy mechanism with dynamic refresh, improved the CRIU checkpoint scheme based on virtualization technology, set dynamic refresh frequency rules, rollback, and verification mechanisms, further enhancing the reliability of the system, which is a new attempt for the application of virtualization technology integrated with checkpoint technology (CRIU) in space.

[0031] 2. Multi - band, Multi - system, Multi - target Recognition and Classification Technology

[0032] The present invention aims at a complex electromagnetic scenario with a large number of radiation source models, a dense quantity of electromagnetic spectrum signals, and similar or overlapping signal parameters. It designs a multi - band antenna group to complete signal acquisition, adopts all - digital channelization and conducts multi - parameter real - time detection, and deploys signal sorting and recognition algorithms on an intelligent computing platform, thus efficiently and accurately realizing the detection and stable sorting and recognition of radiation source signals of multiple systems and multiple targets in a complex electromagnetic environment.

[0033] 3. Multi - station Electromagnetic Spectrum Data Association Analysis and False Position Elimination

[0034] When the parameter fusion deviation of multi - station electromagnetic spectrum data exceeds a certain limit, it will affect the signal perception process. The present invention solves the problem that the parameter fusion deviation of multi - station electromagnetic spectrum data affects the signal perception process by obtaining information such as IQ data, signal characteristics, positioning data, and occupancy, and then indexing and tracing the spectrum data. At the same time, it combines multi - station information flows, solves the "batch increase" problem, and eliminates false positions to meet the established indicators.

[0035] 4. Spatio - temporal - frequency Multidimensional Spectrum Situation Awareness and Visualization Analysis

[0036] The present invention develops spatio - temporal - frequency multidimensional spectrum situation awareness and visualization analysis for space - based intelligent spectrum monitoring, optimizes data processing and analysis algorithms, and conducts hardware deployment on an intelligent computing platform to achieve rapid processing and effective utilization of massive data. Description of the Drawings

[0037] Figure 1 It is the structure diagram of the space - based intelligent electromagnetic spectrum sensing system

[0038] Figure 2(a) is the external structure diagram of the space - based intelligent electromagnetic spectrum sensing system;

[0039] Figure 2(b) is the omnidirectional antenna of the multi - band antenna group, Figure 2(c) is the horn antenna, Figure 2(d) is the parabolic antenna, and Figure 2(e) is the phased array antenna;

[0040] Figure 3 It is the system structure block diagram;

[0041] Figure 4 It is the hardware diagram of the space - borne intelligent computing platform;

[0042] Figure 5 It is the hierarchical diagram of the space - borne intelligent computing operating system;

[0043] Figure 6 It is the schematic diagram of the positioning method process;

[0044] Figure 7 It is the schematic diagram of the radio frequency front - end hardware architecture. Detailed Implementation Modes

[0045] Based on the above background, the space-based intelligent electromagnetic spectrum sensing system proposed by the present invention aims to build a space-based platform with wide-area coverage, intelligent processing, and real-time response capabilities through innovative intelligent sensing and analysis technologies, which is different from the current traditional ground-based monitoring platforms. This system combines an on-board intelligent heterogeneous computing platform, a spectrum signal sensing front-end, a virtualized operating system, and advanced high-speed broadband electromagnetic signal processing algorithms, breaking through the limitations of traditional monitoring means, providing a solution for the current increasingly complex electromagnetic space and chaotic electromagnetic space spectrum order, and offering a brand-new intelligent solution for electromagnetic space spectrum management.

[0046] This system aims at fully intelligent electromagnetic space situation monitoring, relies on on-board intelligent heterogeneous computing technology, monitors and locates radio signals from satellite orbits, uses the orbital altitude for wide-range spectrum monitoring, optimizes the antenna design to improve the sensitivity and coverage of signal reception, and provides powerful data analysis capabilities through intelligent processing methods, obtaining the global distribution and spectrum situation from local (point, line) data, helping to accurately and efficiently achieve electromagnetic space situation assessment and visual presentation.

[0047] As Figure 1 shown, the system is mainly divided into four software and hardware parts: The spectrum signal monitoring and sensing front-end provides real-time electromagnetic spectrum data of the earth's electromagnetic space; the on-board intelligent heterogeneous computing platform provides high-performance and high-reliability on-board intelligent computing power to meet the massive digital signal processing requirements of sensing; the highly reliable intelligent on-board operating system improves the fault tolerance ability of the system to cope with the space radiation environment; the digital / analog electromagnetic spectrum signal processing and visualization module realizes the polyphase filtering channelization reception, division, and parameter estimation of high-speed data, obtains the signal parameter description word, realizes the positioning and identification of signal radiation sources, and realizes visual description. The appearance composition of the payload is shown in Fig. 2(a).

[0048] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and embodiments.

[0049] Embodiment

[0050] An embodiment of the present invention provides a space-based intelligent electromagnetic spectrum sensing system.

[0051] The design of the space-based intelligent electromagnetic spectrum sensing system needs to meet multiple constraint requirements for normal operation in the space environment. In terms of performance, the system should have the frequency detection capabilities in the VHF, UHF, L, S, C, X, Ku, and Ka bands, with a receiving sensitivity of -100 dBm, a sampling rate of 61.44 Msps, 10 receiving channels, and provide an antenna gain of 20 dBi; the radiation environment indicators are 23 Kard (when operating) and 45 Kard (when powered off); in terms of power requirements, the system operation needs to be supported by a 28V power supply, and the total power consumption does not exceed 30W; in terms of the appearance design, the volume of the system is 300*200*200 mm. In terms of reliability indicators, the designed life of the system is not less than 5 years, the verified life is not less than 3 years, the anti-radiation dose is greater than or equal to 10 Kard (Si) (5 years), and the reliability at the end of the 3-year life needs to be higher than 0.99. The system has a design against single event upsets.

[0052] In terms of functions, it can overcome the limitation of the current electromagnetic spectrum monitoring platform by the line of sight, which is difficult to meet the wide-area requirements. At the same time, in the face of a large amount of electromagnetic space data, it uses an intelligent processing method to provide powerful data analysis capabilities, obtains the global distribution and spectrum situation from local (point, line) data, effectively supplements other data sources, and helps to accurately and efficiently achieve electromagnetic space situation assessment and visual presentation. It maintains the order and safety of the airwaves, ensures the normal operation of various radio services, and improves the intelligent, refined, and unmanned spectrum management capabilities.

[0053] To achieve the above goals, the present invention completes the design of the space-based intelligent electromagnetic spectrum sensing system, which mainly consists of: a spaceborne intelligent heterogeneous computing platform (GPU + CPU + FPGA), a spectrum signal monitoring and sensing front end, a highly reliable intelligent spaceborne high-energy computing operating system based on redundancy technology and virtualization technology, a high-speed broadband electromagnetic signal processing algorithm, and a visualization module.

[0054] 1. RF Front End and Signal Processing Platform

[0055] Optimize the antenna design to improve the signal reception sensitivity and coverage. The multi-band antenna group is responsible for receiving multi-band signals. Among them, the omnidirectional antenna is responsible for the VHF, UHF, and L bands, as shown in Fig. 2(b); the horn antenna is responsible for the Ku and Ka bands, as shown in Fig. 2(c), the parabolic antenna is responsible for the S, C, and X bands as shown in Fig. 2(d), and the phased array antenna is responsible for the L, S, and C bands, as shown in Fig. 2(e).

[0056] The spectrum signal sensing front end uses a multi-band antenna group to design a power amplifier for the received signal. After down-conversion processing and anti-aliasing filtering, the baseband processing signal is obtained, as Figure 3 shown in the system block diagram.

[0057] For the spectrum analysis part, a high-speed analog-to-digital conversion chip with a sampling rate of 61.44 MSPS is adopted, and combined with an FPGA to implement a high-performance software-defined radio signal acquisition system. The hardware architecture of the RF front-end is as Figure 7 shown. The acquired signals are sent to the FPGA for multi-channel dynamic digitization and parallel data processing, completing the serial-to-parallel conversion and narrowband division of the data, and realizing signal deceleration.

[0058] The FPGA performs signal detection and time-frequency spectrum parameter measurement, accumulates the energy in the time-frequency domain within the channel, and sets an adaptive constant false alarm detection. It measures time-domain parameters such as the time of arrival (TOA) and signal amplitude (AP) of the signal and conducts real-time spectrum analysis, estimating parameters such as the instantaneous carrier frequency and bandwidth of the signal. By fusing the measurement results of time-frequency parameters, a signal parameter description word is generated and transmitted to the hardware intelligent platform for further processing.

[0059] 2. On-board intelligent heterogeneous computing platform

[0060] To meet the computing power requirements for large-scale digital signal processing, an on-board intelligent computing component designed and implemented independently is used, adopting a heterogeneous computing architecture combining a CPU, a GPU, and an FPGA. The intelligent computing part uses NVIDIA Jetson AGX Xavier + an on-board Linux operating system. The GPU serves as the main processor, responsible for real-time high-speed data processing, and its powerful parallel processing performance can enhance the real-time processing ability of the system. The FPGA undertakes complex data transmission, conversion processing, and precise process control between modules. This system can provide 11 TFLOPS of floating-point computing power and 32 TOPS of integer on-board computing power. The computing power and power consumption of this device meet the requirements for data processing. Through reliability experimental tests, it can meet the on-orbit operation standard. The overall hardware design block diagram is as Figure 4 shown.

[0061] 3. High-reliability intelligent on-board high-energy computing operating system based on redundancy technology and virtualization technology

[0062] Facing the requirements of high-performance and high-reliability spaceborne missions, based on the above intelligent computing hardware platform, this payload will build a high-performance and high-reliability spaceborne operating system for spaceborne intelligent computing, transplant it to the spaceborne heterogeneous intelligent computing platform, expand the software structure based on multi-core processors, support the expansion of intelligent applications, use virtualization technology for application isolation, further improve the system reliability, design and implement an autonomous management program for on-orbit software, and propose an on-orbit application management solution based on container technology. By providing a lightweight and isolated running environment through container technology, the autonomous installation, startup, update, uninstallation, and stop of spaceborne applications are realized. At the same time, the application status is monitored to improve the management efficiency and scalability of the system. The full life cycle management of spaceborne application programs is realized. Combining virtualization technology and CRIU technology and making improvements, adding dynamic checkpoint rules and verification rollback mechanisms to further enhance the system reliability. The hierarchical structure of the operating system is as Figure 5 shown.

[0063] 4. High-Speed Broadband Electromagnetic Signal Processing Algorithm and Visualization Module

[0064] The intelligent platform deploys an unsupervised clustering algorithm to dilute the density of mixed complex signals; applies fractal dimension and higher-order cumulants to extract the in-pulse modulation features of signals, and fuses the inter-pulse features for signal blind source separation. The satellite platform can collect radio frequency signals in an area with a diameter of hundreds of kilometers, and quickly sort the electromagnetic waves according to frequency to complete electromagnetic spectrum mapping. According to the amount of electromagnetic signals, spatial spectrum estimation techniques such as Multiple Signal Classification (MUSIC) or Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) are selected for Direction of Arrival (DOA) estimation to effectively estimate the directions of multiple simultaneously arriving signal sources.

[0065] When using the time-frequency difference positioning technology, cooperate to match the cluster received signals, compare the Time of Arrival (TOA) and Frequency of Arrival (FOA) values of different satellites and transmitters, and calculate the position of the transmitter; use the lateral cross-positioning method to jointly measure the DOA of multi-station radiation sources, perform time-frequency information matching, eliminate false positioning points, and solve the three-dimensional position of multi-target radiation sources. The process is as Figure 6 shown.

[0066] Summary:

[0067] Through the deep combination of intelligent algorithms and heterogeneous computing technologies, the present invention can achieve wide-area and real-time electromagnetic spectrum monitoring and situation awareness on a satellite platform. In particular, by leveraging the collaborative computing of on-board GPUs, CPUs, and FPGAs, the reliability and computing power limitations of traditional devices in the space radiation environment are overcome, enabling it to efficiently process massive amounts of electromagnetic signal data and provide real-time and accurate spectrum situation analysis and visualization. This innovative solution provides strong technical support for spectrum management and electromagnetic space security in complex electromagnetic environments, greatly enhancing the unmanned, intelligent, and refined spectrum management capabilities. It ensures the safe and efficient use of limited terrestrial space spectrum resources.

[0068] With the help of the above-mentioned hardware platform design and related algorithm improvements, through deep integration in multiple dimensions such as computing architecture, system software, signal recognition, and data processing, the present invention innovatively realizes multi-band signal monitoring, real-time processing of massive data, accurate signal detection and parameter estimation, on-board autonomous operation and fault-tolerant management, improves the electromagnetic spectrum monitoring mechanism, maintains the order of electromagnetic spectrum resources, and further promotes the forefront development of space-based intelligent electromagnetic spectrum sensing technology, providing powerful technical support for future electromagnetic space management.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the embodiments, those of ordinary skill in the art should understand that any modification or equivalent replacement of the technical solutions of the present invention does not depart from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A space-based intelligent electromagnetic spectrum sensing system, characterized in that, It is used to achieve wide-area and real-time electromagnetic spectrum monitoring and situation awareness on a satellite platform, including: a spectrum signal monitoring and sensing front-end, an on-board intelligent heterogeneous computing platform, an on-board operating system, and a high-speed broadband electromagnetic signal processing algorithm and visualization module; The spectrum signal monitoring and sensing front-end is implemented based on a multi-band antenna array, a radio frequency front-end, and a high-speed broadband electromagnetic signal processing FPGA, and is used to provide real-time electromagnetic spectrum monitoring data of the Earth's electromagnetic space and send it to the on-board intelligent heterogeneous computing platform for processing; The on-board intelligent heterogeneous computing platform is used to provide on-board intelligent computing power; The on-board operating system runs on the on-board intelligent heterogeneous computing platform and combines on-board applications with redundancy technology, virtualization technology, and checkpoint technology to improve reliability and fault tolerance in response to the space radiation environment. It is also used to provide full life-cycle management of on-board application programs; The high-speed broadband electromagnetic signal processing algorithm and visualization module is used to implement multi-phase filtering channelization reception, division, and parameter estimation of high-speed data based on unsupervised clustering algorithms and time-frequency difference positioning technology, obtain signal parameter descriptors, and achieve visual description; The multi-band antenna array includes: an omnidirectional antenna, a horn antenna, a phased array antenna, and a parabolic antenna; among them, The omnidirectional antenna is responsible for the VHF, UHF, and L bands; The horn antenna is responsible for the Ku and Ka bands; The phased array antenna is responsible for the L, S, and C bands; The parabolic antenna is responsible for the S, C, and X bands; The processing process of the radio frequency front-end includes: Amplify the received signal in power, obtain a baseband processing signal after passing through a down-converter and an anti-aliasing filter; then perform multi-channel dynamic digitization and parallel data processing on the multi-channel baseband processing signals through a high-speed analog-to-digital conversion chip, complete the serial-to-parallel conversion and narrowband division of the data, and achieve signal deceleration.

2. The space-based intelligent electromagnetic spectrum sensing system according to claim 1, characterized in that The processing process of the electromagnetic signal processing FPGA includes: Accumulate the time-frequency domain energy in the channel, set adaptive constant false alarm detection, perform real-time spectrum analysis on the arrival time and signal amplitude of the measured signal, estimate the instantaneous carrier frequency and bandwidth parameters of the signal, and generate signal parameter descriptors for transmission to the on-board intelligent heterogeneous computing platform.

3. The space-based intelligent electromagnetic spectrum sensing system according to claim 1, characterized in that The on-board intelligent heterogeneous computing platform adopts a heterogeneous computing architecture based on CPU, GPU, and FPGA. The GPU is used as the main processor and is responsible for real-time aliased signal separation and de-interleaving processing, blind source separation, direction-of-arrival detection, passive positioning, and electromagnetic spectrum sensing mapping; the FPGA is responsible for data transmission between modules, parameter estimation processing, and precise process control.

4. The space-based intelligent electromagnetic spectrum sensing system according to claim 1, characterized in that, The processing of the on-board operating system includes: Implement a three-mode redundancy mechanism with dynamic refresh at the system layer; achieve fault recovery of on-board application programs based on virtualization technology and checkpoints at the application layer; support the extension of on-board application programs based on an intelligent application management framework; provide a lightweight and isolated operating environment based on container technology to achieve autonomous installation, startup, update, uninstallation, restart, stop, and status monitoring and fault tolerance functions of on-board application software.

5. The space-based intelligent electromagnetic spectrum sensing system according to claim 1, characterized in that, The processing process of the high-speed broadband electromagnetic signal processing algorithm and visualization module includes: Deploy an unsupervised clustering algorithm to dilute the density of the mixed complex signals; apply fractal dimension and high-order cumulants to extract the in-pulse modulation features of the signals, and fuse the inter-pulse features for signal blind source separation; Sort the electromagnetic waves according to the radio signal frequencies collected by the spectrum signal monitoring and sensing front-end to complete the electromagnetic spectrum mapping. Based on the amount of electromagnetic signals, select the spatial spectrum estimation techniques multiple signal classification or estimation of signal parameters via rotational invariance techniques (ESPRIT) for direction estimation, and estimate the directions of multiple simultaneously arriving signal sources; Use the time-frequency difference positioning technique to cooperate and match the signals received by the cluster, compare the arrival times and arrival frequency values of different satellites and emission sources, and calculate the position of the emission source; Use the lateral intersection positioning method to jointly measure the direction of arrival (DOA) of multi-station radiation sources, perform time-frequency information matching, eliminate false positioning points, and solve the three-dimensional positions of multi-target radiation sources.

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