Method for guiding a microwave radiometer to detect salinity based on real-time spectral detection results

Abstract

The application discloses a kind of based on real-time spectrum detection result guiding microwave radiometer to detect salinity method, method includes: spectrum monitor instrument extracts the frequency point, bandwidth, position, energy of each RFI signal, forms RFI data;Each RFI data is sorted according to energy from big to small, select part or all sorted RFI data and send number tube sub-system;Number tube sub-system determines the sub-band of each RFI data affecting microwave radiometer, determines the number of sub-band according to the frequency point and bandwidth of RFI, determines the energy of each sub-band according to the energy of RFI;Each RFI data received is classified based on energy value, and two fields are added for each RFI data, respectively, the sub-band affecting microwave radiometer, the energy classification of the sub-band affecting microwave radiometer, form processed RFI data;Microwave radiometer obtains processed RFI data, and closes selected sub-band.The method of the application improves the RFI detection, suppression capability of ocean salinity detection, and can improve the precision of ocean salinity detection.

Description

Technical Field

[0001] This invention relates to the field of satellite microwave ocean remote sensing technology, specifically to a method for guiding a microwave radiometer to detect salinity based on real-time spectrum detection results. Background Technology

[0002] Ocean salinity detection technology is a technique that obtains ocean salinity through the inversion of radioluminescence temperature (RFT). The optimal frequency band for seawater salinity detection is the L-band. Based on the principle of inverting seawater salinity using RFT around 1.4 GHz, the main ocean salinity detection satellites launched internationally include the SMOS satellite launched by Europe in 2009, the Aquarius satellite launched by the United States in 2011, and the SMAP satellite launched by the United States in 2015. With the increasing frequency of human activities and the rapid development of wireless communication methods, massive information exchange inevitably generates human interference. All three satellites mentioned above are subject to radio frequency interference (RFI) in the L-band. RFI is a problem that ocean salinity detection satellites must consider during detection and data preprocessing. This paper focuses on how ocean salinity satellites can shield RFI signals during detection to ensure high-quality raw detection data.

[0003] To eliminate or suppress radiofrequency in ocean salinity detection, the SMOS, SMAP, and Aquarius satellite teams have all conducted RFI detection, localization, and suppression based on L1A, L1B, and L1C level data for microwave radiometer-based salinity detection. These RFI detection and suppression methods are all carried out at the preprocessing data level and have not yet addressed the detection, localization, and suppression at the source of RFI detection. That is, during the satellite's on-orbit operation, RFI should be detected in a timely manner and the original signal should be suppressed in a timely manner, thereby improving the quality of the original data.

[0004] Spectrum monitoring technology has been widely studied and applied in the detection and suppression of RFI (Radio Frequency Identification) in radar, communication, navigation, and ground-based man-made interference sources, with advanced engineering application indicators such as spectrum detection resolution, detection accuracy, positioning accuracy, and signal type. However, a collaborative working mode for on-orbit spectrum monitoring instruments to guide microwave radiometers in salinity detection has not yet been developed domestically or internationally.

[0005] Based on the characteristics of ocean salinity detection satellites, and utilizing the high-resolution spectrum monitoring capabilities of the spectrum monitor and the prior RFI database, the microwave radiometer is guided to adaptively adjust its working mode according to the frequency and bandwidth information of the RFI. This allows for the early detection and suppression of RFI in the raw ocean salinity detection data, thereby improving the quality of salinity remote sensing data. This is the first time this technology has been used in ocean salinity detection, and it is necessary to overcome the challenges of using the spectrum monitor to guide the microwave radiometer to adaptively adjust its working mode for salinity detection. Summary of the Invention

[0006] In view of this, the present invention provides a method for guiding microwave radiometer to detect salinity based on real-time spectrum detection results, which can solve the technical problem of poor suppression quality of RFI detection when microwave radiometer detects salinity at the same time. It is suitable for satellites to carry both spectrum monitoring instrument (RFIM) and microwave radiometer to carry out ocean salinity detection to reduce the impact of radio frequency interference.

[0007] To solve the above-mentioned technical problems, the present invention is implemented as follows.

[0008] A method for guiding a microwave radiometer to detect salinity based on real-time spectrum detection results, the method comprising the following steps:

[0009] Step S1: The satellite's spectrum monitor performs real-time radio frequency interference (RFI) detection;

[0010] Step S2: The spectrum monitor detects an RFI signal and guides the microwave radiometer if the RFI signal is not a false RFI signal;

[0011] Step S3: The spectrum monitor detects and extracts the frequency, bandwidth, location, and energy of each RFI signal to form RFI data; the RFI data is used to form an RFI dataset, and the RFI data is sorted from largest to smallest energy. Some or all of the sorted RFI data is selected and sent to the data management subsystem.

[0012] Step S4: The data management subsystem determines the subbands that affect the RFI data of the microwave radiometer;

[0013] Step S5: Classify the received RFI data based on energy values, and add two fields to each RFI data: the subband affecting the microwave radiometer and the energy classification of the subband affecting the microwave radiometer, to form the processed RFI data; the energy classification is to determine the classification according to the specific energy value according to the pre-set energy classification rules.

[0014] Step S6: The microwave radiometer acquires the processed RFI data and closes the selected subband. The selected subband is the subband that affects the microwave radiometer corresponding to the processed RFI data whose energy exceeds a preset energy threshold.

[0015] Preferably, the method further includes step S7: setting the microwave radiometer to the default operating mode.

[0016] Preferably, step S1 includes: setting the spectrum monitor (RFIM) in panoramic scanning mode on a satellite equipped with both a spectrum monitor and a microwave radiometer, and the spectrum monitor performing real-time radio frequency interference (RFI) detection.

[0017] Preferably, step S2 includes: if the spectrum monitor detects an RFI signal, it searches for the RFI signal in the Radio Frequency Interference Signal Database (RFIDB). If the RFI signal is found in the RFIDB, the microwave radiometer is directly guided. If the RFI signal is not found in the RFIDB and the RFI signal is continuously detected and the number of detections exceeds a preset threshold, the RFI signal is added to the RFIDB and the microwave radiometer is guided again. If the RFI signal is not found in the RFIDB and the RFI signal is not continuously detected, the RFI signal is a false RFI. In this case, the RFI signal is not added to the RFIDB, the microwave radiometer is not guided, and the default operating mode of the microwave radiometer is not changed.

[0018] Preferably, in step S4, the data management subsystem determines the subbands affecting each RFI data point of the microwave radiometer based on the received RFI data, determines the number of subbands according to the frequency and bandwidth of each RFI data point, and determines the energy of each subband according to the energy of the RFI data. The RFI dataset is denoted as S = {S1, S2, ..., S...} n}, for each data S in the RFI dataset i =[frequency, bandwidth, energy, location] to classify energy, and assign values ​​to the energy classification results, that is, energy of the same type is assigned the same code; use interference status flag bits to identify the subbands that affect each RFI data of the microwave radiometer.

[0019] The present invention provides a device for guiding a microwave radiometer to detect salinity based on real-time spectrum detection results, the device comprising:

[0020] Detection module: Configured as a spectrum monitor for satellites to perform real-time radio frequency interference (RFI) detection;

[0021] Guidance module: configured to guide the microwave radiometer when the spectrum monitor detects an RFI signal and the RFI signal is not a false RFI signal;

[0022] The sorting module is configured to detect and extract the frequency, bandwidth, location, and energy of each RFI signal from the spectrum monitor to form RFI data; to assemble an RFI dataset from the RFI data; to sort the RFI data from largest to smallest energy; and to select some or all of the sorted RFI data to send to the data management subsystem.

[0023] Determining module: Configured to determine the subbands affecting each RFI data of the microwave radiometer for the data management subsystem;

[0024] Processing module: Configured to classify each received RFI data based on energy value, and add two fields to each RFI data: the subband affecting the microwave radiometer and the energy classification of the subband affecting the microwave radiometer, to form processed RFI data; the energy classification is to determine its classification according to the specific energy value according to the pre-set energy classification rules.

[0025] Shutdown module: Configured to shut down selected subbands when the microwave radiometer acquires processed RFI data. The selected subbands are the subbands that affect the microwave radiometer when the energy of the processed RFI data exceeds a preset energy threshold.

[0026] The present invention provides a computer-readable storage medium storing a plurality of instructions; the plurality of instructions are used by a processor to load and execute the method as described above.

[0027] The present invention provides an electronic device, characterized in that the electronic device comprises:

[0028] A processor is used to execute multiple instructions;

[0029] Memory, used to store multiple instructions;

[0030] The plurality of instructions are to be stored in the memory and loaded and executed by the processor as described above.

[0031] Beneficial effects:

[0032] Compared with the SMOS satellites already launched internationally, this invention adds the ability to suppress RFI detection through a spectrum monitor. Compared with existing microwave radiometers, it improves the RFI suppression capability, changing from the previous default bandwidth data suppression to a data suppression mode based on a specified sub-bandwidth.

[0033] The beneficial technical effects of this invention are as follows:

[0034] (1) The present invention can establish an RFI database (RFIDB), which, as prior information, can better guide the selection of the working mode of the microwave radiometer.

[0035] (2) This invention enables the selection of working mode for high-precision RFI detection by RFIM-guided microwave radiometer and the comparative analysis of RFI detection capabilities of different detection systems, thereby improving the RFI detection and suppression capabilities of marine salinity detection.

[0036] (3) Based on the RFIDB of the present invention, technical support can be provided to RFI law enforcement agencies to ensure real-time control of RFI. Attached Figure Description

[0037] Figure 1 This is a schematic diagram of the method for guiding a microwave radiometer to detect salinity based on real-time spectrum detection results provided by the present invention.

[0038] Figure 2 This is a schematic diagram of the panoramic scanning results provided by the present invention;

[0039] Figure 3 This is a schematic diagram of another panoramic scanning result provided by the present invention. Detailed Implementation

[0040] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0041] like Figures 1-2 As shown, this invention proposes a method for guiding a microwave radiometer to detect salinity based on real-time spectrum detection results. The method includes the following steps:

[0042] Step S1: The satellite's spectrum monitor performs real-time radio frequency interference (RFI) detection;

[0043] Step S2: The spectrum monitor detects an RFI signal and guides the microwave radiometer if the RFI signal is not a false RFI signal;

[0044] Step S3: The spectrum monitor detects and extracts the frequency, bandwidth, location, and energy of each RFI signal to form RFI data; the RFI data is used to form an RFI dataset, and the RFI data is sorted from largest to smallest energy. Some or all of the sorted RFI data is selected and sent to the data management subsystem.

[0045] Step S4: The data management subsystem determines the subbands that affect the RFI data of the microwave radiometer;

[0046] Step S5: Classify the received RFI data based on energy values, and add two fields to each RFI data: the subband affecting the microwave radiometer and the energy classification of the subband affecting the microwave radiometer, to form the processed RFI data; the energy classification is to determine the classification according to the specific energy value according to the pre-set energy classification rules.

[0047] Step S6: The microwave radiometer acquires the processed RFI data and closes the selected subband. The selected subband is the subband that affects the microwave radiometer corresponding to the processed RFI data whose energy exceeds a preset energy threshold.

[0048] This invention is a preprocessing method for guiding microwave radiometer salinity detection based on real-time spectrum detection results, which can assist in the subsequent implementation of specific salinity detection.

[0049] Furthermore, the method also includes step S7: setting the microwave radiometer to the default operating mode.

[0050] Step S1 includes: setting the spectrum monitor (RFIM) in panoramic scanning mode on a satellite equipped with both a spectrum monitor and a microwave radiometer, and the spectrum monitor performing real-time radio frequency interference (RFI) detection.

[0051] Further, in step S1, the spectrum monitor operates in panoramic scanning mode according to the default scanning bandwidth, frequency range, frequency resolution, and nadir spatial resolution; the microwave radiometer performs ocean salinity detection according to the default center frequency and bandwidth.

[0052] Step S2 includes: if the spectrum monitor detects an RFI signal, it searches for the RFI signal in the Radio Frequency Interference Signal Database (RFIDB). If the RFI signal is found in the RFIDB, the microwave radiometer is directly guided. If the RFI signal is not found in the RFIDB and the RFI signal is continuously detected and the number of detections exceeds a preset threshold, the RFI signal is added to the RFIDB and the microwave radiometer is guided again. If the RFI signal is not found in the RFIDB and the RFI signal is not continuously detected, the RFI signal is a false RFI. In this case, the RFI signal is not added to the RFIDB, the microwave radiometer is not guided, and the default operating mode of the microwave radiometer is not changed.

[0053] Step S3 includes: the spectrum monitor assembles the detected RFI radio frequency interference signals into an RFI dataset according to a preset time frequency. Each RFI data in the dataset contains frequency center point, bandwidth, location, and energy information. The RFI signals in the RFI dataset are sorted from largest to smallest energy. The sorted RFI data is then partially or completely sent to the data management subsystem.

[0054] In step S4, the data management subsystem determines the subbands that affect the RFI data of the microwave radiometer, wherein:

[0055] The data management subsystem determines the subbands affecting each RFI data point of the microwave radiometer based on the received RFI data, determines the number of subbands according to the frequency and bandwidth of each RFI data point, and determines the energy of each subband according to the energy of the RFI data. The RFI dataset is denoted as S = {S1, S2, ..., S...}. n}, for each data S in the RFI dataset i=[frequency, bandwidth, energy, location] to classify energy, and assign values ​​to the results of energy classification, that is, energy of the same type is assigned the same code.

[0056] For example, the energy classification is based on the following: ≤-130dBm (0001), >-130dBm ≤-125dBm (0010), >-125dBm ≤-120dBm (0011), >-120dBm ≤-115dBm (0100), >-115dBm ≤-110dBm (0101), >-110dBm ≤-105dBm (0110), >-105dBm ≤-100dBm (0111), >-100dBm ≤-95dBm (100 0), >-95dBm&≤-90dBm(1001), >-90dBm&≤-85dBm(1010), >-85dBm&≤-80dBm(1011), >-80dBm&≤-75dBm(1100), >-75dBm&≤-70dBm(1101), >-70dBm&≤-65dBm(1110), >-65dBm(1111)}, the energy of a certain RFI data is -78dBm, then its energy is -78dBm, and its energy is classified as 1100.

[0057] In step S4, the subbands affecting the RFI data of the microwave radiometer are identified by an interference status flag bit. When a subband affects the microwave radiometer, the interference status word corresponding to that subband is set to 1.

[0058] For example, if there is interference only in subband 1, the first byte of the interference status word is set to 10000000. If there is interference in multiple subbands, the interference status words of the corresponding multiple subbands are set to 1.

[0059] The digital management subsystem divides the interference power of each frequency band into several levels, represented by the 2nd to 5th bytes of the interference status word. The high 4 bits of the 2nd byte of the interference status word represent the power level of sub-band 1, the low 4 bits of the 2nd byte represent the power level of sub-band 2, and so on. When there is no interference in a sub-band, the power level is 0000 by default.

[0060] In step S6, the microwave radiometer determines the subband affecting the microwave radiometer based on the first byte of each RFI interference data received from the data management subsystem, and determines the interference power magnitude based on the second to fifth bytes.

[0061] In step S6, the selected sub-band is the sub-band of the processed RFI data whose energy exceeds a preset energy threshold, affecting the microwave radiometer. For example, the threshold th = -90 dBm. The processed RFI dataset S... ’China Data S i ’ The subband with energy greater than th is closed.

[0062] Further, in step S2, the RFIM performs an RFI signal acquisition at adjustable intervals based on the sampling frequency. The acquired signal includes frequency, bandwidth, energy, and location information. If the same RFI signal is continuously detected more than a preset threshold, RFI location information is generated. For the same RFI signal, the average value of the signal energy corresponding to each consecutive detection is taken as the RFI energy.

[0063] The microwave radiometer receives a list of RFI signals and shuts down the corresponding subbands based on their energy levels, thereby enabling the microwave radiometer to select the RFI suppression mode guided by the RFIM.

[0064] RFIM operating mode settings: RFIM has three operating modes: panoramic scan mode, frequency point mode, and frequency band mode. The default operating mode is panoramic scan mode, with a frequency range of 1385–1445MHz and a scan bandwidth of 60MHz, or a frequency range of 1400–1420MHz and a scan bandwidth of 6MHz. To achieve full-band scanning, the default selection is a frequency range of 1385–1445MHz and a scan bandwidth of 60MHz. By default, there are no RFI interference results. Figure 3 As shown.

[0065] The microwave radiometer operates at a default center frequency of 1415MHz and a default bandwidth of 20MHz. The 20MHz bandwidth is divided into eight sub-bands: 1) 1405MHz–1407.5MHz, 2) 1407.5MHz–1410MHz, 3) 1410MHz–1412.5MHz, 4) 1412.5MHz–1415MHz, 5) 1415MHz–1417.5MHz, 6) 1417.5MHz–1420MHz, 7) 1420MHz–1425.5MHz, and 8) 1425.5MHz–1425MHz. These are denoted as 1, 2, 3, ..., 8.

[0066] When RFIM detects an RFI (Radio Frequency Interference) signal, both its telemetry voltage and location information will change. The energy of the RFI source can be calculated based on the telemetry level. The location information is in coordinates within a specified coordinate system, which can be converted to a specified coordinate system according to business needs. Figure 3 As shown.

[0067] The data management subsystem determines which frequency bands within the 1405MHz to 1425MHz range are affected by interference. This is represented by a one-byte interference status word (bits 1-8 from high to low, representing sub-band 1 to sub-band 8 respectively, defaulting to all zeros). When interference exists in a sub-band, the corresponding interference status word for that sub-band is set to 1. For example, if interference only exists in sub-band 1, the first byte of the interference status word is set to 1000 0000. If interference exists in multiple sub-bands, the interference status words for those multiple sub-bands are set to 1. Based on... Figure 3 The interference detection dataset shown indicates that target 5 has a subband of 7 and an energy of 0010. Other targets are located in the range of 1405-1425MHz, and subband selection and energy classification can be carried out accordingly.

[0068] The digital management subsystem divides the interference power of each frequency band into 15 levels, represented by bytes 2 to 5 of the interference status word. The high 4 bits of the second byte of the interference status word represent the power level of sub-band 1, the low 4 bits of the second byte represent the power level of sub-band 2, and so on. When there is no interference in a sub-band, the power level defaults to 0000.

[0069] ≤-130dBm(0001)

[0070] >-130dBm & ≤-125dBm (0010)

[0071] >-125dBm & ≤-120dBm (0011)

[0072] >-120dBm & ≤-115dBm (0100)

[0073] >-115dBm & ≤-110dBm (0101)

[0074] >-110dBm & ≤-105dBm (0110)

[0075] >-105dBm & ≤-100dBm (0111)

[0076] >-100dBm & ≤-95dBm(1000)

[0077] >-95dBm & ≤-90dBm (1001)

[0078] >-90dBm & ≤-85dBm (1010)

[0079] >-85dBm & ≤-80dBm (1011)

[0080] >-80dBm & ≤-75dBm (1100)

[0081] >-75dBm & ≤-70dBm (1101)

[0082] >-70dBm & ≤-65dBm (1110)

[0083] >-65dBm(1111)

[0084] The system compares and analyzes the energy threshold set by the user with the energy of the RFI. If the energy exceeds the user's threshold setting, the sub-band is shut down to suppress the raw data of the RFI. If the user-set energy threshold is -128dBm, the sub-band 7 corresponding to target 5 is shut down, while other sub-bands receive energy normally. At the same time, target 5 is added to RFIDB.

[0085] The present invention also provides a device for guiding a microwave radiometer to detect salinity based on real-time spectrum detection results, the device comprising:

[0086] Detection module: Configured as a spectrum monitor for satellites to perform real-time radio frequency interference (RFI) detection;

[0087] Guidance module: configured to guide the microwave radiometer when the spectrum monitor detects an RFI signal and the RFI signal is not a false RFI signal;

[0088] The sorting module is configured to detect and extract the frequency, bandwidth, location, and energy of each RFI signal from the spectrum monitor to form RFI data; to assemble an RFI dataset from the RFI data; to sort the RFI data from largest to smallest energy; and to select some or all of the sorted RFI data to send to the data management subsystem.

[0089] Determining module: Configured to determine the subbands affecting each RFI data of the microwave radiometer for the data management subsystem;

[0090] Processing module: Configured to classify each received RFI data based on energy value, and add two fields to each RFI data: the subband affecting the microwave radiometer and the energy classification of the subband affecting the microwave radiometer, to form processed RFI data; the energy classification is to determine its classification according to the specific energy value according to the pre-set energy classification rules.

[0091] Shutdown module: Configured to shut down selected subbands when the microwave radiometer acquires processed RFI data. The selected subbands are the subbands that affect the microwave radiometer when the energy of the processed RFI data exceeds a preset energy threshold.

[0092] The specific embodiments described above only illustrate the design principles of the present invention. The shapes and names of the components in this description may differ and are not limited. Therefore, those skilled in the art can modify or make equivalent substitutions to the technical solutions described in the foregoing embodiments; and these modifications and substitutions do not depart from the inventive spirit and technical solutions of the present invention, and should all fall within the protection scope of the present invention.

Claims

1. A method for guiding a microwave radiometer to detect salinity based on real-time spectral detection results, characterized in that, The method includes the following steps: Step S1: The satellite's spectrum monitor performs real-time radio frequency interference (RFI) detection; Step S2: The spectrum monitor detects an RFI signal and guides the microwave radiometer if the RFI signal is not a false RFI signal; Step S3: The spectrum monitor detects and extracts the frequency, bandwidth, location, and energy of each RFI signal to form RFI data; the RFI data is used to form an RFI dataset, and each RFI data is sorted from largest to smallest energy. Some or all of the sorted RFI data is selected and sent to the data management subsystem. Step S4: The data management subsystem determines the subbands that affect the RFI data of the microwave radiometer; Step S5: Classify the received RFI data based on energy values, and add two fields to each RFI data: the subband affecting the microwave radiometer and the energy classification of the subband affecting the microwave radiometer, to form the processed RFI data; the energy classification is to determine the classification according to the specific energy value according to the pre-set energy classification rules. Step S6: The microwave radiometer acquires the processed RFI data and closes the selected subband. The selected subband is the subband that affects the microwave radiometer corresponding to the processed RFI data whose energy exceeds a preset energy threshold. Step S2 includes: if the spectrum monitor detects an RFI signal, it searches for the RFI signal in the Radio Frequency Interference Signal Database (RFIDB). If the RFI signal is found in the RFIDB, the microwave radiometer is directly guided. If the RFI signal is not found in the RFIDB and the RFI signal is continuously detected and the number of detections exceeds a preset threshold, the RFI signal is added to the RFIDB and the microwave radiometer is guided again. If the RFI signal is not found in the RFIDB and the RFI signal is not continuously detected, the RFI signal is a false RFI. In this case, the RFI signal is not added to the RFIDB, the microwave radiometer is not guided, and the default operating mode of the microwave radiometer is not changed.

2. The method of claim 1, wherein, The method further includes step S7: setting the microwave radiometer to the default working mode.

3. The method according to any one of claims 1-2, characterized in that, Step S1 includes: setting the spectrum monitor (RFIM) in panoramic scanning mode on a satellite equipped with both a spectrum monitor and a microwave radiometer, and the spectrum monitor performing real-time radio frequency interference (RFI) detection.

4. The method of any one of claims 1-2, wherein, In step S4, the data management subsystem determines the subbands affecting each RFI data point of the microwave radiometer based on the received RFI data, determines the number of subbands according to the frequency and bandwidth of each RFI data point, and determines the energy of each subband according to the energy of the RFI data. The RFI dataset is denoted as S = {S1, S2, ..., S...}. n }, for each data S in the RFI dataset i =[frequency, bandwidth, energy, location] to classify energy, and assign values ​​to the energy classification results, that is, energy of the same type is assigned the same code; use interference status flag bits to identify the subbands that affect each RFI data of the microwave radiometer.

5. An apparatus for guiding a microwave radiometer to detect salinity based on real-time spectral detection results, characterized in that, The device includes: Detection module: Configured as a spectrum monitor for satellites to perform real-time radio frequency interference (RFI) detection; Guiding module: configured to guide the microwave radiometer when the spectrum monitor detects an RFI signal and the RFI signal is not a spurious RFI signal, including: If the spectrum monitor detects an RFI signal, it searches for the RFI signal in the Radio Frequency Interference Signal Database (RFIDB). If the RFI signal is found in the RFIDB, the microwave radiometer is directly guided. If the RFI signal is not found in the RFIDB and the RFI signal is detected continuously with the number of detections exceeding a preset threshold, the RFI signal is added to the RFIDB and the microwave radiometer is guided. If the RFI signal is not found in the RFIDB and the RFI signal is detected discontinuously, the RFI signal is a false RFI. In this case, the RFI signal is not added to the RFIDB, the microwave radiometer is not guided, and the default operating mode of the microwave radiometer is not changed. The sorting module is configured to detect and extract the frequency, bandwidth, location, and energy of each RFI signal from the spectrum monitor to form RFI data; to assemble an RFI dataset from the RFI data; to sort the RFI data from largest to smallest energy; and to select some or all of the sorted RFI data to send to the data management subsystem. Determining module: Configured to determine the subbands affecting each RFI data of the microwave radiometer for the data management subsystem; Processing module: Configured to classify each received RFI data based on energy value, and add two fields to each RFI data: the subband affecting the microwave radiometer and the energy classification of the subband affecting the microwave radiometer, to form processed RFI data; the energy classification is to determine its classification according to the specific energy value according to the pre-set energy classification rules. Shutdown module: Configured to shut down selected subbands when the microwave radiometer acquires processed RFI data. The selected subbands are the subbands that affect the microwave radiometer when the energy of the processed RFI data exceeds a preset energy threshold.

6. A computer-readable storage medium storing a plurality of instructions; the plurality of instructions being loaded by a processor and executing the method as claimed in any one of claims 1-4.

7. An electronic device, comprising: The electronic device includes: A processor is used to execute multiple instructions; Memory, used to store multiple instructions; The plurality of instructions are to be stored in the memory and loaded by the processor and executed as described in any one of claims 1-4.

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