Method, device and equipment for calibrating gain of reflection channel of occultation detector

Abstract

The embodiment of the invention provides an occultation detector reflection channel gain calibration method, device and equipment, and the method comprises the steps: inputting two or more calibration sources into an occultation detector reflection channel under a preset environment temperature condition, and outputting a DDM noise observation value corresponding to each calibration source; obtaining a gain deviation value caused by each calibration source when the AD sampling value deviates from the target value; determining equivalent noise temperature corresponding to each calibration source, and determining equivalent input noise power based on the equivalent noise temperature; based on the DDM noise observation value, the gain deviation value and the equivalent input noise power, determining the total gain and the system noise coefficient of the reflection channel of the occultation detector, and through the embodiment of the invention, the calibration of the gain of the reflection channel of the occultation detector is realized.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to a method, a device and equipment for calibrating the gain of a reflection channel of an occultation detector. Background Art

[0002] GNSS-R (Global Navigation Satellite System - Reflectometry) is an instrument that uses the Global Navigation Satellite System (GNSS) signals to detect the Earth's atmosphere and ocean environment. It receives GNSS satellite signals reflected by the Earth's atmosphere or ocean surface to invert relevant physical parameters of the atmosphere and ocean.

[0003] Using GNSS reflected signals to measure sea surface wind fields is one of the main tasks and functions of the GNSS-R occultation detector. This function requires the pre-launch calibration of the GNSS-R occultation detector reflection channel gain and noise coefficient, which are used to calculate the absolute power of the reflected signal and noise corresponding to the onboard GNSS-R DDM (Delay-Doppler Mapping) waveform.

[0004] For sea surface wind field measurement, accurate reflection channel gain and noise coefficient calibration is crucial. When using GNSS-R signals to measure sea surface wind fields, it is necessary to accurately know the absolute power of the reflected signal. The reflected signal power is closely related to the roughness of the sea surface, which in turn is affected by the sea surface wind field. By calculating the absolute power of the reflected signal and noise, the information of the sea surface wind field can be more accurately inverted. If the gain calibration is inaccurate, it will lead to an incorrect estimation of the reflected signal power, which will in turn cause large errors in the wind field inversion process. Similarly, inaccurate noise coefficient calibration will affect the extraction of the true reflected signal, because in the actual measurement environment, the signal is received mixed with noise. Summary of the invention

[0005] In view of the above problems, a method, device and apparatus for calibrating the reflection channel gain of an occultation detector is proposed to overcome the above problems or at least partially solve the above problems, including: A method for calibrating the gain of a reflection channel of an occultation detector, the method comprising: Under the preset ambient temperature conditions, two or more calibration sources are input into the reflection channel of the occultation detector respectively, and the DDM noise observation value corresponding to each calibration source is output; Obtain the gain deviation value caused by each calibration source when the AD sampling value deviates from the target value; Determine an equivalent noise temperature corresponding to each calibration source, and determine an equivalent input noise power based on the equivalent noise temperature; The total gain and system noise coefficient of the occultation detector reflection channel are determined based on the DDM noise observation value, the gain deviation value and the equivalent input noise power.

[0006] In one embodiment of the present invention, determining the total gain and system noise coefficient of the occultation detector reflection channel based on the DDM noise observation value, the gain deviation value, and the equivalent input noise power includes: Determine the total channel gain and system noise power based on the DDM noise observation value, the gain deviation value and the equivalent noise temperature; A system noise figure is determined based on the system noise power.

[0007] In one embodiment of the present invention, determining the total channel gain and the system noise power based on the DDM noise observation value, the gain deviation value, and the equivalent input noise power includes: The DDM noise observation value, the gain deviation value and the equivalent input noise power are combined with a preset reflection channel calibration formula to determine the total channel gain and the system noise power. The preset reflection channel calibration formula is used to describe the numerical relationship between the DDM noise observation value, the gain deviation value, the equivalent input noise power and the total channel gain and the system noise power.

[0008] In one embodiment of the present invention, the reflection channel calibration formula is: DDM noise observation value = (total channel gain + gain deviation value) * (equivalent input noise power + system noise power).

[0009] In one embodiment of the present invention, determining the total channel gain and the system noise power based on the DDM noise observation value, the gain deviation value, and the equivalent input noise power includes: When there are more than two calibration sources, determining a set of candidate calibration values ​​based on the DDM noise observation values, the gain deviation value and the input noise power of any two calibration sources, the candidate calibration values ​​including candidate channel total gain and candidate system noise power; Taking the average value of the total gains of the candidate channels in the multiple groups of candidate calibration values ​​as the total gains of the channels corresponding to the multiple groups of calibration sources; Taking the average value of the candidate system noise powers in the multiple groups of candidate calibration values ​​as the system noise powers corresponding to the multiple groups of calibration sources; In one embodiment of the present invention, determining the system noise factor based on the system noise power includes: Get the Boltzmann constant, noise reference temperature, and system bandwidth constant; Determining a product value of the Boltzmann constant, the noise reference temperature, and the system bandwidth constant; Determining a quotient value of the system noise power and the product value; The system noise coefficient is obtained by adding the quotient value to a preset constant value.

[0010] In one embodiment of the present invention, the calibration source is any one of the following: Black body, liquid nitrogen, noise source.

[0011] A device for calibrating the gain of a reflection channel of an occultation detector, the device comprising: The noise observation value determination module is used to input two or more calibration sources into the reflection channel of the occultation detector respectively under the preset ambient temperature conditions, and output the DDM noise observation value corresponding to each calibration source; A gain deviation value acquisition module is used to gain acquire the gain deviation value caused by each calibration source when the AD sampling value deviates from the target value; A noise power determination module, used to determine an equivalent noise temperature corresponding to each calibration source, and determine an equivalent input noise power based on the equivalent noise temperature; The calibration data determination module is used to determine the total gain and system noise coefficient of the occultation detector reflection channel based on the DDM noise observation value, the gain deviation value and the equivalent input noise power.

[0012] An electronic device comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the above-mentioned method for calibrating the reflection channel gain of an occultation detector.

[0013] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for calibrating the reflection channel gain of an occultation detector is implemented.

[0014] The embodiments of the present invention have the following advantages: In an embodiment of the present invention, under a preset ambient temperature condition, two or more calibration sources are respectively input into the reflection channel of the occultation detector, and the DDM noise observation value corresponding to each calibration source is output; The gain deviation value caused by each calibration source when the AD sampling value deviates from the target value is obtained; the equivalent noise temperature corresponding to each calibration source is determined, and the equivalent input noise power is determined based on the equivalent noise temperature; the total gain and system noise coefficient of the occultation detector reflection channel are determined based on the DDM noise observation value, the gain deviation value and the equivalent input noise power, thus realizing the calibration of the occultation detector reflection channel gain. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0016] Figure 1 It is a flowchart of the steps of a method for calibrating the gain of a reflection channel of an occultation detector provided by an embodiment of the present invention; Figure 2 It is a flowchart of the steps of another method for calibrating the reflection channel gain of an occultation detector provided by an embodiment of the present invention; Figure 3a It is a principle block diagram of a reflection channel calibration system provided by one embodiment of the present invention; Figure 3b is a principle block diagram of another reflection channel calibration system provided by an embodiment of the present invention; Figure 3c It is an overall test principle framework provided by an embodiment of the present invention; Figure 4 It is a schematic diagram of the structure of a reflection channel gain calibration device for an occultation detector provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Currently, it is difficult to accurately estimate the noise observation value after the occultation detector is launched due to the coexistence of signal and noise in the occultation detector reflection channel.

[0019] In an embodiment of the present invention, in order to ensure that various values ​​of the occultation detector reflection channel can be accurately calculated after the occultation detector is launched, a preset calibration source can be used to calibrate the total gain of the reflection channel and the system noise coefficient of the occultation detector reflection channel.

[0020] Reference Figure 1 , shows a flowchart of a method for calibrating the gain of a reflection channel of an occultation detector provided by an embodiment of the present invention, which may specifically include the following steps: Step S101, under a preset ambient temperature condition, two or more calibration sources are respectively input into the reflection channel of the occultation detector, and the DDM noise observation value corresponding to each calibration source is output; In an embodiment of the present invention, a calibration source can be selected under preset ambient temperature conditions, and a calibration calculation of the reflection channel gain can be performed based on the selected calibration source. A calibration source is a reference source used to calibrate or test a measuring device, instrument, or system. The calibration source can provide a known, stable signal or physical quantity to ensure the accuracy and reliability of the device. The calibration source selected in the embodiment of the present invention can be any of the following: a black body, liquid nitrogen, or a noise source. It should be noted that, in addition to the above examples, the calibration source can also select other substances that meet the characteristics of the calibration source as the calibration source.

[0021] After selecting two or more calibration sources, the calibration sources can be input into the reflection channel of the occultation detector under the preset ambient temperature conditions, and then the DDM noise observation value corresponding to each calibration source can be measured. Among them, the preset temperature environment is used to simulate the temperature of the occultation detector, which can be set according to actual needs. For example, when the temperature of the occultation detector is T1 at the time of launch, when the data is calibrated before the launch, an indoor simulation test can be performed according to T1 to determine the DDM noise observation value corresponding to each calibration source under the T1 environment. When the temperature of the occultation detector is T2 at the time of launch, when the data is calibrated before the launch, an indoor simulation test can be performed according to T2 to determine the DDM noise observation value corresponding to each calibration source under the T2 environment.

[0022] In the embodiment of the present invention, data calibration is achieved by using a calibration source with known parameters in an indoor simulation before the occultation detector is launched.

[0023] Step S102, obtaining a gain deviation value caused by each calibration source when the AD sampling value deviates from the target value; After determining the calibration source, the gain deviation value caused by each calibration source when the AD sampling value deviates from the target value can be determined according to the type of calibration source, wherein there is a corresponding relationship between the calibration source, the AD sampling value deviating from the target value and the gain deviation value, and the target value in the AD sampling value deviating from the target value can be set according to actual needs, for example, the gain deviation value caused when the AD sampling value deviates from the target value of 13.5, and the gain deviation value caused when the actual AD sampling value deviates from the target value of 13.5.

[0024] In practical applications, the gain deviation value caused by the AD sampling value deviating from the target value can be obtained by calibrating the inside of the detector's reflection channel.

[0025] Step S103, determining an equivalent noise temperature corresponding to each calibration source, and determining an equivalent input noise power based on the equivalent noise temperature; In practical applications, there is a corresponding relationship between the calibration source, the equivalent noise temperature and the equivalent input noise power. Therefore, after determining the calibration source, the equivalent noise temperature can also be determined according to the type of the calibration source, and then the equivalent input noise efficiency can be determined based on the equivalent noise temperature.

[0026] For example, the equivalent noise temperature of liquid nitrogen is 80K, and the corresponding equivalent input noise power is -179.6dBW. The equivalent noise temperature of the matched load is 328K, and the corresponding equivalent input noise power is -173.4dBW. The equivalent noise temperature of the noise source is 8283.6K, and the corresponding equivalent input noise power is -159.4dBW.

[0027] Step S104, determining the total gain and system noise coefficient of the occultation detector reflection channel based on the DDM noise observation value, the gain deviation value and the equivalent input noise power.

[0028] According to the above introduction, the DDM noise observation value, gain deviation value and equivalent input noise power are determined. Then, the unknown total gain of the occultation detector reflection channel and the system noise coefficient can be determined in combination with the known DDM noise observation value, gain deviation value and equivalent input noise power. Specifically, since there are two unknown calibration values ​​of the total gain and the system noise coefficient of the occultation detector reflection channel in the embodiment of the present invention, at least two calibration source combinations are required to realize the calibration of the unknown quantities.

[0029] In an embodiment of the present invention, under preset ambient temperature conditions, two or more calibration sources are respectively input into the occultation detector reflection channel, and the DDM noise observation value corresponding to each calibration source is output; the gain deviation value caused by each calibration source when the AD sampling value deviates from the target value is obtained; the equivalent noise temperature corresponding to each calibration source is determined, and the equivalent input noise power is determined based on the equivalent noise temperature; the total gain and system noise coefficient of the occultation detector reflection channel are determined based on the DDM noise observation value, the gain deviation value and the equivalent input noise power, thereby realizing the calibration of the gain of the occultation detector reflection channel.

[0030] Reference Figure 2 , shows a flowchart of another method for calibrating the reflection channel gain of an occultation detector provided by an embodiment of the present invention, which may specifically include the following steps: Step S201, under a preset ambient temperature condition, two or more calibration sources are respectively input into the reflection channel of the occultation detector, and the DDM noise observation value corresponding to each calibration source is output; Step S202, obtaining a gain deviation value caused by each calibration source when the AD sampling value deviates from the target value; Step S203, determining an equivalent noise temperature corresponding to each calibration source, and determining an equivalent input noise power based on the equivalent noise temperature; Step S204, determining the total channel gain and system noise power based on the DDM noise observation value, the gain deviation value and the equivalent noise temperature; In practical applications, the unknown total channel gain and system noise power can be determined based on the known DDM noise observation value, gain deviation value, and equivalent noise temperature determined by the calibration source.

[0031] In one embodiment of the present invention, the specific process of step S204 may be: combining the DDM noise observation value, the gain deviation value and the equivalent input noise power with a preset reflection channel calibration formula to determine the total channel gain and the system noise power. The preset reflection channel calibration formula is used to describe the numerical relationship between the DDM noise observation value, the gain deviation value, the equivalent input noise power and the total channel gain and the system noise power.

[0032] Among them, the reflection channel calibration formula is: DDM noise observation value = (total channel gain + gain deviation value) * (equivalent input noise power + system noise power).

[0033] In the above reflection channel calibration formula, the gain deviation value, DDM noise observation value and equivalent input noise power are all known quantities. The total channel gain and system noise power, each different calibration source can obtain a formula according to the above formula. Two or more calibration sources can be combined to resolve the two unknown quantities.

[0034] In one embodiment of the present invention, when there are two calibration sources, a set of solutions for two unknown quantities is obtained based on two known sets of numerical values.

[0035] In another embodiment of the present invention, when there are more than two calibration sources, a group of candidate calibration values ​​can be determined based on the DDM noise observation values, gain deviation values ​​and input noise powers of any two calibration sources, the candidate calibration values ​​including candidate channel total gains and candidate system noise powers; the average value of the candidate channel total gains in multiple groups of candidate calibration values ​​is used as the channel total gain corresponding to the multiple groups of calibration sources; the average value of the candidate system noise powers in the multiple groups of candidate calibration values ​​is used as the system noise power corresponding to the multiple groups of calibration sources.

[0036] The two unknown quantities in the embodiment of the present invention require at least two sets of data to determine. When there are more than two calibration sources, the data of any two calibration sources can be used to obtain a set of candidate system noise power and channel total gain.

[0037] Furthermore, the actual calibration data can be determined based on the obtained multiple groups of candidate system noise power and channel total gain. Specifically, the actual calibration data can be determined by averaging, that is, the average system noise power is obtained by adding up each candidate system noise power and dividing it by the number of groups, and the actual system noise power is obtained by adding up each channel total gain and dividing it by the number of groups, and the average channel total gain is obtained as the actual channel total gain. For example, suppose that three calibration sources are used for calibration, among which, the relevant known data of calibration source 1 and calibration source 2 can obtain the first group of unknown quantities, namely, candidate system noise power 1 and channel total gain 1; the relevant known data of calibration source 1 and calibration source 3 can obtain the second group of unknown quantities, namely, candidate system noise power 2 and channel total gain 2; the relevant known data of calibration source 2 and calibration source 3 can obtain the third group of unknown quantities, namely, candidate system noise power 3 and channel total gain 3.

[0038] Then the system noise power = (candidate system noise power 1 + candidate system noise power 2 + candidate system noise power 3) / 3; Total channel gain = (total channel gain 1 + total channel gain 2 + total channel gain 3) / 3.

[0039] Step S205: determining the system noise factor based on the system noise power.

[0040] After the system noise power is determined, the actual system noise coefficient may be determined based on the system noise power according to the corresponding relationship between the system noise power and the system noise coefficient.

[0041] In one embodiment of the present invention, a system noise coefficient is determined based on the system noise power, including: obtaining a Boltzmann constant, a noise reference temperature, and a system bandwidth constant; determining a product value of the Boltzmann constant, the noise reference temperature, and the system bandwidth constant; determining a quotient of the system noise power and the product value; and adding the quotient value to a preset constant value to obtain the system noise coefficient.

[0042] In practical applications, the relationship between noise power, noise figure and noise temperature is as follows:

[0043] therefore,

[0044] in, is the system noise coefficient of the detector reflection channel, k is the Boltzmann constant, T 0 is the noise reference temperature, and B is the system bandwidth constant. The Boltzmann constant, noise reference temperature, and system bandwidth constant are fixed data after the calibration environment is determined.

[0045] The embodiment of the present invention is different from the traditional system calibration research method. The present invention is a GNSS-R occultation detector reflection channel gain calibration system and method based on multiple calibration sources. By accurately calibrating the total gain and noise coefficient of the system reflection channel, a new error correction method is provided for the system to accurately measure the height, thereby further improving the height measurement accuracy. The present invention utilizes two or more calibration sources with different equivalent temperatures, and realizes high-precision calibration of the system by accurately controlling the ambient temperature and numerical control AGC. In addition, the present invention can calibrate the reflection channel system before launch, and can realize the application of the calibration results to the inversion of on-orbit data, thus avoiding the complexity of on-orbit calibration.

[0046] refer to Figure 3a , which is a principle block diagram of a reflection channel calibration system implemented in the present invention. The reflection channel calibration system may include a reflection antenna, an LNA (low noise amplifier) ​​and a filter, a down-conversion channel and a baseband processing. The reflection antenna may be used to receive a GNSS reflection signal, and the input power is Pin. The LNA and the filter are used to amplify the reflection signal received by the reflection antenna and filter out the out-of-band interference signal. The down-conversion channel is used to down-convert, amplify the intermediate frequency, filter the intermediate frequency and perform AD sampling on the amplified and filtered signal. The baseband processing is used to capture, track and resolve the sampled digital intermediate frequency signal, and then output the DDM related power value (that is, the DDM noise observation value of the input calibration source).

[0047] refer to Figure 3b , which is a principle block diagram of another reflection channel calibration system implemented in the present invention. The reflection channel detailed design circuit may include a reflection antenna, a cavity filter, a first-stage LNA, a RF filter, a second-stage LNA, a down-conversion, an intermediate frequency amplifier, an intermediate frequency filter, an AD, a baseband FPGA and a reflection DSP.

[0048] The reflection antenna can be used to receive the GNSS reflection signal, and then transmit the signal to the cavity filter. The cavity filter filters the received reflection signal and removes out-of-band interference. The first-stage LNA performs low-noise amplification on the filtered signal, and then transmits the signal to the RF filter. The RF filter can be used to suppress image interference, and then the signal enters the second-stage LNA for further amplification. The amplified signal enters the down-conversion module. The constant temperature crystal oscillator provides the system clock input to the phase-locked local oscillator source, and then outputs the local oscillator signal to provide the local oscillator signal for down-conversion. The down-conversion module performs frequency migration on the signal, down-converts the RF signal to an intermediate frequency signal, and then enters the intermediate frequency amplifier for intermediate frequency amplification. The intermediate frequency amplified signal enters the intermediate frequency filter for intermediate frequency filtering. The intermediate frequency filtered signal enters the AD for analog-to-digital conversion. The converted intermediate frequency digital signal enters the baseband FPGA for digital signal capture and tracking. The processed signal enters the reflection DSP for data inversion and solution, and outputs the DDM related power value (that is, the DDM noise observation value of the input calibration source).

[0049] refer to Figure 3c , which is an overall test principle framework implemented by the present invention. The specific test process is as follows: This experiment uses liquid nitrogen, matching load, and noise source as three known power input noise sources. Under the condition of temperature control in the temperature box of 0℃~45℃, the DDM signal of the detector reflection channel under different noise source conditions is collected. Finally, the total link gain and equivalent noise coefficient of the receiver are calculated through post-data processing. There are three calibration working modes in the test: liquid nitrogen mode, matched load mode, and noise source mode. In different test modes, the reflection channel is connected to liquid nitrogen, matched load, and noise source signals respectively.

[0050] The occultation detector host is placed inside the high and low temperature box, and the ground equipment is placed outside the high and low temperature box. The GNSS signal simulator generates GNSS satellite signals, which are connected to the positioning and occultation channels of the occultation detector through a radio frequency power divider. The linear regulated power supply provides +28V system power for the occultation detector host. The occultation detector host is connected to the ground inspection equipment through an interface module. The interface module transmits low-speed 422 data, high-speed 422 data, and 1553B data to the ground inspection equipment, and then transmits them to the data receiving PC through the USB bus for display and later data processing. The analog signal acquisition is measured using a multimeter.

[0051] It should be noted that, for the sake of simplicity, the method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0052] Reference Figure 4 , shows a schematic diagram of the structure of a device for calibrating the reflection channel gain of an occultation detector provided by an embodiment of the present invention, which may specifically include the following modules: The noise observation value determination module 401 is used to input two or more calibration sources into the reflection channel of the occultation detector respectively under the preset ambient temperature condition, and output the DDM noise observation value corresponding to each calibration source; A gain deviation value acquisition module 402 is used to gain acquire the gain deviation value caused by each calibration source when the AD sampling value deviates from the target value; The noise power determination module 403 is used to determine the equivalent noise temperature corresponding to each calibration source, and determine the equivalent input noise power based on the equivalent noise temperature. The calibration data determination module 404 is used to determine the total gain and system noise coefficient of the occultation detector reflection channel based on the DDM noise observation value, the gain deviation value and the equivalent input noise power.

[0053] In one embodiment of the present invention, the calibration data determination module 404 may include: A gain and power determination submodule, configured to determine a total channel gain and a system noise power based on the DDM noise observation value, the gain deviation value, and the equivalent noise temperature; The noise system determination submodule is used to determine the system noise factor based on the system noise power.

[0054] In one embodiment of the present invention, when the noise system determination submodule is used to determine the total channel gain and the system noise power based on the DDM noise observation value, the gain deviation value and the equivalent input noise power, it is specifically used to: combine the DDM noise observation value, the gain deviation value and the equivalent input noise power with a preset reflection channel calibration formula to determine the total channel gain and the system noise power, and the preset reflection channel calibration formula is used to describe the numerical relationship between the DDM noise observation value, the gain deviation value, the equivalent input noise power and the total channel gain and the system noise power.

[0055] In one embodiment of the present invention, the reflection channel calibration formula is: DDM noise observation value = (total channel gain + gain deviation value) * (equivalent input noise power + system noise power).

[0056] In one embodiment of the present invention, the calibration data determination module 404 may include: A candidate calibration value determination submodule, for determining a set of candidate calibration values ​​based on the DDM noise observation values, the gain deviation value and the input noise power of any two calibration sources when there are more than two calibration sources, wherein the candidate calibration values ​​include candidate channel total gain and candidate system noise power; A total gain determination submodule, used to take the average value of the total gains of the candidate channels in the multiple groups of candidate calibration values ​​as the total gains of the channels corresponding to the multiple groups of calibration sources; The system noise power determination submodule is used to take the average value of the candidate system noise powers in the multiple groups of candidate calibration values ​​as the system noise powers corresponding to the multiple groups of calibration sources.

[0057] In one embodiment of the present invention, the system noise power determination submodule may include: A basic coefficient determination unit, used to obtain the Boltzmann constant, the noise reference temperature and the system bandwidth constant; a product value determining unit, configured to determine a product value of the Boltzmann constant, the noise reference temperature, and the system bandwidth constant; a quotient value determining unit, configured to determine a quotient value of the system noise power and the product value; The system noise coefficient determination unit is used to add the quotient value to a preset constant value to obtain the system noise coefficient.

[0058] In one embodiment of the present invention, the calibration source is any one of the following: Black body, liquid nitrogen, noise source.

[0059] In an embodiment of the present invention, under a preset ambient temperature condition, two or more calibration sources are respectively input into the reflection channel of the occultation detector, and the DDM noise observation value corresponding to each calibration source is output; The gain deviation value caused by each calibration source when the AD sampling value deviates from the target value is obtained; the equivalent noise temperature corresponding to each calibration source is determined, and the equivalent input noise power is determined based on the equivalent noise temperature; the total gain and system noise coefficient of the occultation detector reflection channel are determined based on the DDM noise observation value, the gain deviation value and the equivalent input noise power, thereby realizing the calibration of the occultation detector reflection channel gain.

[0060] An embodiment of the present invention further provides an electronic device, which may include a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, the above-mentioned occultation detector reflection channel gain calibration method is implemented.

[0061] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for calibrating the reflection channel gain of an occultation detector is implemented.

[0062] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0063] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0064] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0065] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0066] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0067] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0068] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0069] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0070] The above is a detailed introduction to the provided method, device and equipment for calibrating the reflection channel gain of an occultation detector. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for calibrating the gain of a reflection channel of an occultation detector, characterized in that: The method comprises: Under the preset ambient temperature conditions, two or more calibration sources are input into the reflection channel of the occultation detector respectively, and the DDM noise observation value corresponding to each calibration source is output; Obtain the gain deviation value caused by each calibration source when the AD sampling value deviates from the target value; Determine an equivalent noise temperature corresponding to each calibration source, and determine an equivalent input noise power based on the equivalent noise temperature; The total gain and system noise coefficient of the occultation detector reflection channel are determined based on the DDM noise observation value, the gain deviation value and the equivalent input noise power.

2. The method according to claim 1, characterized in that The determining of the total gain and system noise coefficient of the occultation detector reflection channel based on the DDM noise observation value, the gain deviation value and the equivalent input noise power comprises: Determine the total channel gain and system noise power based on the DDM noise observation value, the gain deviation value and the equivalent noise temperature; A system noise figure is determined based on the system noise power.

3. The method according to claim 2, characterized in that The determining of the total channel gain and the system noise power based on the DDM noise observation value, the gain deviation value and the equivalent input noise power comprises: The DDM noise observation value, the gain deviation value and the equivalent input noise power are combined with a preset reflection channel calibration formula to determine the total channel gain and the system noise power. The preset reflection channel calibration formula is used to describe the numerical relationship between the DDM noise observation value, the gain deviation value, the equivalent input noise power and the total channel gain and the system noise power.

4. The method according to claim 3, characterized in that: The preset reflection channel calibration formula is: DDM noise observation value = (total channel gain + gain deviation value) * (equivalent input noise power + system noise power).

5. The method according to claim 2, characterized in that: The determining of the total channel gain and the system noise power based on the DDM noise observation value, the gain deviation value and the equivalent input noise power comprises: When there are more than two calibration sources, determining a set of candidate calibration values ​​based on the DDM noise observation values, the gain deviation value and the input noise power of any two calibration sources, the candidate calibration values ​​including candidate channel total gain and candidate system noise power; Taking the average value of the total gains of the candidate channels in the multiple groups of candidate calibration values ​​as the total gains of the channels corresponding to the multiple groups of calibration sources; An average value of the candidate system noise powers in the multiple groups of candidate calibration values ​​is used as the system noise powers corresponding to the multiple groups of calibration sources.

6. The method according to claim 2, characterized in that The determining of the system noise factor based on the system noise power comprises: Get the Boltzmann constant, noise reference temperature, and system bandwidth constant; Determining a product value of the Boltzmann constant, the noise reference temperature, and the system bandwidth constant; Determining a quotient value of the system noise power and the product value; The system noise coefficient is obtained by adding the quotient value to a preset constant value.

7. The method according to claim 2, characterized in that The calibration source is any one of the following: Black body, liquid nitrogen, noise source.

8. A device for calibrating the gain of a reflection channel of an occultation detector, characterized in that: The device comprises: The noise observation value determination module is used to input two or more calibration sources into the reflection channel of the occultation detector respectively under the preset ambient temperature conditions, and output the DDM noise observation value corresponding to each calibration source; A gain deviation value acquisition module is used to gain acquire the gain deviation value caused by each calibration source when the AD sampling value deviates from the target value; A noise power determination module, used to determine an equivalent noise temperature corresponding to each calibration source, and determine an equivalent input noise power based on the equivalent noise temperature; The calibration data determination module is used to determine the total gain and system noise coefficient of the occultation detector reflection channel based on the DDM noise observation value, the gain deviation value and the equivalent input noise power.

9. An electronic device, characterized in that: The invention comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the method for calibrating the gain of the reflection channel of the occultation detector according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for calibrating the gain of a reflection channel of an occultation detector as claimed in any one of claims 1 to 7 is implemented.

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