CN113723225A - Novel calibration signal processing method and system, electronic equipment and storage medium - Google Patents
Novel calibration signal processing method and system, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a novel calibration signal processing method, which comprises the following steps: collecting intermediate frequency signals; extracting effective signals of the intermediate frequency signals according to the relation of the sampling rate FS, the center frequency and the number N of FFT points of the satellite load, and converting the effective signals to a frequency domain through FFT to generate frequency domain effective signals; constructing a filter function matched with the intermediate frequency signal, and transforming the filter function to a frequency domain through FFT (fast Fourier transform) to generate a frequency domain filter function; multiplying the frequency domain effective signal and the frequency domain filter function, and then transforming the frequency domain effective signal to a time domain through IFFT to obtain a time domain transformation signal; carrying out normalization processing on the time domain transformation signal to obtain a high-gain signal, wherein the high-gain signal comprises noise and a scaling signal; the scaled signal is extracted from the high gain signal. The invention improves the processing gain of the signal by a pulse compression method, and realizes that the signal can be distinguished after pulse compression processing under the condition that the signal and the noise can not be distinguished in a time domain and a frequency domain.
Description
Technical Field
The invention belongs to the technical field of satellites, and particularly relates to a novel calibration signal processing method, a novel calibration signal processing system, electronic equipment and a storage medium.
Background
With the development of the microwave remote sensing satellite technology and the improvement of application requirements, the calibration requirement on the microwave remote sensing load is further strengthened, the application processing accuracy of the load is improved through the calibration on the load, and the application processing capacity of the microwave remote sensing load is improved.
The calibration method of the microwave remote sensing load comprises various methods, the load calibration through a ground active calibrator is the mainstream method at present, in the signal processing method of the active calibrator, the sampling signal is traditionally analyzed in the time domain to obtain parameters such as the pulse width and the pulse period of the load, and under the condition of low signal-to-noise ratio of the signal, the time domain signal cannot be directly processed and can be converted into the frequency domain through FFT to analyze the frequency domain signal.
However, when the noise of the receiver is high, the prior art cannot directly distinguish the signal in the time domain and the frequency domain for processing, so that the processing precision is reduced.
Disclosure of Invention
In order to solve the above problems in the prior art, the present invention provides a novel calibration signal processing method, system, electronic device and storage medium. The technical problem to be solved by the invention is realized by the following technical scheme:
a novel method for processing a calibration signal comprises the following steps:
collecting intermediate frequency signals;
extracting effective signals of the intermediate frequency signals according to the relation of the sampling rate FS, the center frequency and the number N of FFT points of the satellite load, and converting the effective signals to a frequency domain through FFT to generate frequency domain effective signals;
constructing a filter function matched with the intermediate frequency signal, and transforming the filter function to a frequency domain through FFT (fast Fourier transform) to generate a frequency domain filter function, wherein the center frequency of the filter function is the same as the center frequency of the effective signal;
multiplying the frequency domain effective signal and the frequency domain filter function, and then transforming the frequency domain effective signal to a time domain through IFFT to obtain a time domain transformation signal;
carrying out normalization processing on the time domain transformation signal to obtain a high-gain signal, wherein the high-gain signal comprises noise and a scaling signal;
the scaled signal is extracted from the high gain signal.
The invention also provides a novel calibration signal processing system, which comprises:
the signal acquisition module is used for acquiring intermediate frequency signals;
the frequency domain effective signal generating module is used for extracting an effective signal of the intermediate frequency signal according to the relation among the sampling rate FS, the center frequency and the FFT point number N of the satellite load and converting the effective signal to a frequency domain through FFT to generate a frequency domain effective signal;
the function construction module is used for constructing a filter function matched with the intermediate frequency signal and transforming the filter function to a frequency domain through FFT (fast Fourier transform) to generate a frequency domain filter function, wherein the center frequency of the filter function is the same as that of the effective signal;
the time domain transformation module is used for multiplying the frequency domain effective signal and the frequency domain filter function and then transforming the frequency domain effective signal to a time domain through IFFT to obtain a time domain transformation signal;
the normalization module is used for performing normalization processing on the time domain transformation signal to obtain a high-gain signal, wherein the high-gain signal comprises noise and a calibration signal;
a signal extraction module for extracting the scaled signal from the high gain signal.
The invention also provides electronic equipment which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for finishing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of claim 1 when executing a program stored in the memory.
The invention also provides a computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method steps of claim 1.
The invention has the beneficial effects that:
the novel calibration signal processing method improves the processing gain of the signal through the pulse compression method, and realizes that the signal can be distinguished after the pulse compression processing under the condition that the signal and the noise cannot be distinguished in the time domain and the frequency domain. Meanwhile, for the realization of pulse compression processing, the efficiency is improved by realizing pulse compression in a frequency domain compared with time domain pulse compression, and meanwhile, because the signal frequency is known, the data volume is greatly reduced and the processing time is reduced by extracting data in an effective bandwidth for pulse compression.
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Drawings
Fig. 1 is a schematic flow chart of a novel calibration signal processing method according to an embodiment of the present invention;
fig. 2 is a time domain waveform of an acquired intermediate frequency signal provided by an embodiment of the present invention;
fig. 3 is a frequency domain waveform of an acquired intermediate frequency signal according to an embodiment of the present invention;
fig. 4 is a time domain waveform of the collected intermediate frequency signal after pulse compression according to the embodiment of the present invention;
fig. 5 is a block diagram of a novel scaled signal processing system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to specific examples, but the embodiments of the present invention are not limited thereto.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a novel calibration signal processing method according to an embodiment of the present invention, including:
s1, collecting intermediate frequency signals; in general, an active scaler collects an intermediate frequency signal, and a time domain waveform diagram of the intermediate frequency signal can be seen in fig. 2, for example, a periodic pulse signal cannot be resolved, so that the intermediate frequency signal needs to be transformed to a frequency domain through an FFT. With continued reference to fig. 3, it can be seen that the signal spectrum cannot be determined. Therefore, the processing is performed by the following steps.
S2, extracting effective signals of the intermediate frequency signals according to the relation of the sampling rate FS, the center frequency and the number N of FFT points of the satellite load, and converting the effective signals to a frequency domain through FFT to generate frequency domain effective signals; so that the range of the valid signal can be determined and extracted for use by the pulse compression process.
To illustrate the implementation of this step more clearly, the following is exemplified:
when the signal frequency FS is 160MHz and the center frequency f0 is 300MHz, the center frequency of the FFT-transformed signal is folded to 140MHz, and the known signal bandwidth is 1MHz, then the section where the effective signal is located after the FFT transformation is: 139.5/160N: 140.5/160N.
S3, constructing a filter function matched with the intermediate frequency signal, and transforming the filter function to a frequency domain through FFT to generate a frequency domain filter function, wherein the center frequency of the filter function is the same as the center frequency of the effective signal; in the same way as the signal processing method in step S2, performing FFT on the matched filter function to transform to the frequency domain (the number of points of FFT is N), and after performing matched filtering in the frequency domain, extracting the matched function in the effective bandwidth in the frequency domain, where the interval for extracting data is also: 139.5/160N: 140.5/160N.
S4, multiplying the frequency domain effective signal and the frequency domain filter function, and transforming the frequency domain effective signal to a time domain through IFFT to obtain a time domain transformation signal;
s5, carrying out normalization processing on the time domain transformation signal to obtain a high-gain signal, wherein the high-gain signal comprises noise and a scaling signal;
and S6, extracting the scaling signal from the high-gain signal.
Please refer to fig. 4, which is convenient for the subsequent analysis processing, and it should be noted that the method extracts signals in the frequency domain and then transforms the signals into the time domain, which is equivalent to the extraction of the sampling rate of the time domain, and the time interval between different points needs to be calculated according to the extracted sampling rate.
The novel calibration signal processing method improves the processing gain of the signal through the pulse compression method, and realizes that the signal can be distinguished after the pulse compression processing under the condition that the signal and the noise cannot be distinguished in the time domain and the frequency domain. Meanwhile, for the realization of pulse compression processing, the efficiency is improved by realizing pulse compression in a frequency domain compared with time domain pulse compression, and meanwhile, because the signal frequency is known, the data volume is greatly reduced and the processing time is reduced by extracting data in an effective bandwidth for pulse compression.
Example two
Referring to fig. 5, the present invention also provides a novel scaled signal processing system, which includes:
the signal acquisition module is used for acquiring intermediate frequency signals;
the frequency domain effective signal generating module is used for extracting an effective signal of the intermediate frequency signal according to the relation among the sampling rate FS, the center frequency and the FFT point number N of the satellite load and converting the effective signal to a frequency domain through FFT to generate a frequency domain effective signal;
the function construction module is used for constructing a filter function matched with the intermediate frequency signal and transforming the filter function to a frequency domain through FFT (fast Fourier transform) to generate a frequency domain filter function, wherein the center frequency of the filter function is the same as that of the effective signal;
the time domain transformation module is used for multiplying the frequency domain effective signal and the frequency domain filter function and then transforming the frequency domain effective signal to a time domain through IFFT to obtain a time domain transformation signal;
the normalization module is used for performing normalization processing on the time domain transformation signal to obtain a high-gain signal, wherein the high-gain signal comprises noise and a calibration signal;
a signal extraction module for extracting the scaled signal from the high gain signal.
The invention also provides electronic equipment which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for finishing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
the processor is used for realizing the following steps when executing the program stored in the memory:
s1, collecting intermediate frequency signals;
s2, extracting effective signals of the intermediate frequency signals according to the relation of the sampling rate FS, the center frequency and the number N of FFT points of the satellite load, and converting the effective signals to a frequency domain through FFT to generate frequency domain effective signals;
s3, constructing a filter function matched with the intermediate frequency signal, and transforming the filter function to a frequency domain through FFT to generate a frequency domain filter function, wherein the center frequency of the filter function is the same as the center frequency of the effective signal;
s4, multiplying the frequency domain effective signal and the frequency domain filter function, and transforming the frequency domain effective signal to a time domain through IFFT to obtain a time domain transformation signal;
s5, carrying out normalization processing on the time domain transformation signal to obtain a high-gain signal, wherein the high-gain signal comprises noise and a scaling signal;
and S6, extracting the scaling signal from the high-gain signal.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
The method provided by the embodiment of the invention can be applied to electronic equipment. Specifically, the electronic device may be: desktop computers, laptop computers, intelligent mobile terminals, servers, and the like. Without limitation, any electronic device that can implement the present invention is within the scope of the present invention.
For the system/electronic device/storage medium embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to part of the description of the method embodiment.
It should be noted that, the system, the electronic device and the storage medium according to the embodiments of the present invention are respectively a device, an electronic device and a storage medium to which the novel calibration signal processing method is applied, and all embodiments of the novel calibration signal processing method are applicable to the device, the electronic device and the storage medium, and can achieve the same or similar beneficial effects.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples described in this specification can be combined and combined by those skilled in the art.
While the present application has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system (device), or computer program product. Accordingly, this application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects that may all generally be referred to herein as a "module" or "system. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program stored/distributed on a suitable medium supplied together with or as part of other hardware, may also take other distributed forms, such as via the Internet or other wired or wireless telecommunication systems.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (4)
1. A novel method for processing a calibration signal, comprising:
collecting intermediate frequency signals;
extracting effective signals of the intermediate frequency signals according to the relation of the sampling rate FS, the center frequency and the number N of FFT points of the satellite load, and converting the effective signals to a frequency domain through FFT to generate frequency domain effective signals;
constructing a filter function matched with the intermediate frequency signal, and transforming the filter function to a frequency domain through FFT (fast Fourier transform) to generate a frequency domain filter function, wherein the center frequency of the filter function is the same as the center frequency of the effective signal;
multiplying the frequency domain effective signal and the frequency domain filter function, and then transforming the frequency domain effective signal to a time domain through IFFT to obtain a time domain transformation signal;
carrying out normalization processing on the time domain transformation signal to obtain a high-gain signal, wherein the high-gain signal comprises noise and a scaling signal;
the scaled signal is extracted from the high gain signal.
2. A novel scaled signal processing system, comprising:
the signal acquisition module is used for acquiring intermediate frequency signals;
the frequency domain effective signal generating module is used for extracting an effective signal of the intermediate frequency signal according to the relation among the sampling rate FS, the center frequency and the FFT point number N of the satellite load and converting the effective signal to a frequency domain through FFT to generate a frequency domain effective signal;
the function construction module is used for constructing a filter function matched with the intermediate frequency signal and transforming the filter function to a frequency domain through FFT (fast Fourier transform) to generate a frequency domain filter function, wherein the center frequency of the filter function is the same as that of the effective signal;
the time domain transformation module is used for multiplying the frequency domain effective signal and the frequency domain filter function and then transforming the frequency domain effective signal to a time domain through IFFT to obtain a time domain transformation signal;
the normalization module is used for performing normalization processing on the time domain transformation signal to obtain a high-gain signal, wherein the high-gain signal comprises noise and a calibration signal;
a signal extraction module for extracting the scaled signal from the high gain signal.
3. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of claim 1 when executing a program stored in the memory.
4. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method steps of claim 1.
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