Spectrum measurement method, spectrum measurement system, and electronic device

Abstract

The present disclosure provides a spectrum measurement method, a spectrum measurement system and an electronic device. The spectrum measurement method comprises: obtaining a linear chirp signal, and dividing the linear chirp signal into two orthogonal first and second linear chirp signals; obtaining a to-be-detected signal, and obtaining a measurement complex chirp pulse signal according to the to-be-detected signal, the first linear chirp signal and the second linear chirp signal; obtaining a reference signal, and obtaining a reference complex chirp pulse signal according to the reference signal, the first linear chirp signal and the second linear chirp signal; wherein the reference signal is used to calibrate the spectrum information of the to-be-detected signal; and performing cross-correlation operation on the reference complex chirp pulse signal and the measurement complex chirp pulse signal, and determining the spectrum information of the to-be-detected signal according to the result of the correlation operation.

Description

Technical Field

[0001] This disclosure relates to the field of microwave measurement technology, and more particularly to a spectrum measurement method, spectrum measurement system and electronic equipment. Background Technology

[0002] Spectrum measurement has wide applications in fields such as electronic system measurement and radar signal analysis. Traditional spectrum measurement methods typically involve mixing and filtering the scanned local oscillator with the signal to be detected to obtain the spectrum information of the signal. However, these methods employ a point-by-point measurement approach, resulting in slow measurement speed and low efficiency. Summary of the Invention

[0003] In view of this, the present disclosure provides a spectrum measurement method, a spectrum measurement system, and an electronic device, in order to at least partially solve the above-mentioned technical problems.

[0004] According to one aspect of this disclosure, a spectrum measurement method is provided, comprising:

[0005] Acquire the linear chirped signal and divide it into two orthogonal linear chirped signals: a first linear chirped signal and a second linear chirped signal.

[0006] The signal to be detected is acquired, and the complex chirped pulse signal is obtained based on the signal to be detected, the first linear chirped signal, and the second linear chirped signal.

[0007] A reference signal is acquired, and a reference complex chirped pulse signal is obtained based on the reference signal, the first linear chirped signal, and the second linear chirped signal; wherein, the reference signal is used to calibrate the spectral information of the signal to be detected;

[0008] The reference complex chirped pulse signal and the measured complex chirped pulse signal are cross-correlated, and the spectral information of the signal to be detected is determined based on the result of the correlation operation.

[0009] According to embodiments of this disclosure, a measured complex chirped pulse signal is obtained based on the signal to be detected, the first linear chirped signal, and the second linear chirped signal, including:

[0010] The signal to be detected is mixed with a first linear chirp signal and a second linear chirp signal respectively to obtain a first pulse chirp signal and a second pulse chirp signal; wherein, the first pulse chirp signal is the signal generated after mixing the signal to be detected with the first linear chirp signal, and the second pulse chirp signal is the signal generated after mixing the signal to be detected with the second linear chirp signal;

[0011] The first pulse chirp signal and the second pulse chirp signal are filtered respectively;

[0012] The filtered first pulse chirp signal and the second pulse chirp signal are respectively converted into a first digital pulse chirp signal and a second digital pulse chirp signal; and

[0013] The first digital pulse chirped signal and the second digital pulse chirped signal are subjected to Euler transformation to obtain the measured complex chirped pulse signal.

[0014] According to embodiments of this disclosure, a reference complex chirped pulse signal is obtained based on a reference signal, a first linear chirped signal, and a second linear chirped signal, including:

[0015] The reference signal is mixed with the first linear chirp signal and the second linear chirp signal respectively to obtain the third pulse chirp signal and the fourth pulse chirp signal; wherein, the third pulse chirp signal is the signal generated after mixing the reference signal with the first linear chirp signal, and the fourth pulse chirp signal is the signal generated after mixing the reference signal with the second linear chirp signal.

[0016] The third and fourth pulse chirp signals are filtered separately.

[0017] The filtered third and fourth pulse chirp signals are respectively converted into a third digital pulse chirp signal and a fourth digital pulse chirp signal; and

[0018] The third and fourth digital pulse chirped signals are subjected to Euler transformation to obtain the reference complex chirped pulse signal.

[0019] According to embodiments of this disclosure, the frequency of the reference signal is within the bandwidth of the linear chirped signal.

[0020] According to embodiments of this disclosure, determining the spectral information of the signal to be detected based on the results of related calculations includes:

[0021] Based on the results of the relevant calculations, at least one of the frequency, phase, and amplitude of the signal to be detected should be determined.

[0022] According to one aspect of this disclosure, a spectrum measurement system is provided, comprising:

[0023] The acquisition module is used to acquire the linear chirped signal and divide the linear chirped signal into two orthogonal linear chirped signals: a first linear chirped signal and a second linear chirped signal.

[0024] The first conversion module is used to acquire the signal to be detected, and to obtain the measurement complex chirped pulse signal based on the signal to be detected, the first linear chirped signal, and the second linear chirped signal;

[0025] The second conversion module is used to acquire a reference signal and, based on the reference signal, the first linear chirp signal, and the second linear chirp signal, obtain a reference complex chirp pulse signal; wherein, the reference signal is used to calibrate the spectral information of the signal to be detected;

[0026] The arithmetic module is used to perform cross-correlation calculations on the reference complex chirped pulse signal and the measured complex chirped pulse signal, and to determine the spectral information of the signal to be detected based on the results of the correlation calculations.

[0027] According to embodiments of this disclosure, the first conversion module includes:

[0028] The first mixing unit is used to mix the signal to be detected with a first linear chirp signal and a second linear chirp signal respectively to obtain a first pulse chirp signal and a second pulse chirp signal; wherein, the first pulse chirp signal is the signal generated after mixing the signal to be detected with the first linear chirp signal, and the second pulse chirp signal is the signal generated after mixing the signal to be detected with the second linear chirp signal;

[0029] The first filtering unit is used to filter the first pulse chirp signal and the second pulse chirp signal respectively.

[0030] The first conversion unit is used to convert the filtered first pulse chirp signal and the second pulse chirp signal into a first digital pulse chirp signal and a second digital pulse chirp signal, respectively; and

[0031] The first arithmetic unit is used to perform Euler transformation on the first digital pulse chirp signal and the second digital pulse chirp signal to obtain a measured complex chirp pulse signal.

[0032] According to embodiments of this disclosure, the second conversion module includes:

[0033] The second mixing unit is used to mix the reference signal with the first linear chirp signal and the second linear chirp signal respectively to obtain the third pulse chirp signal and the fourth pulse chirp signal; wherein, the third pulse chirp signal is the signal generated after mixing the reference signal with the first linear chirp signal, and the fourth pulse chirp signal is the signal generated after mixing the reference signal with the second linear chirp signal;

[0034] The second filtering unit is used to filter the third pulse chirp signal and the fourth pulse chirp signal respectively;

[0035] The second conversion unit is used to convert the filtered third pulse chirp signal and the fourth pulse chirp signal into a third digital pulse chirp signal and a fourth digital pulse chirp signal, respectively; and

[0036] The second arithmetic unit is used to perform Euler transformation operations on the third and fourth digital pulse chirped signals to obtain a reference complex chirped pulse signal.

[0037] According to embodiments of this disclosure, the frequency of the reference signal is within the bandwidth of the linear chirped signal.

[0038] According to one aspect of this disclosure, an electronic device is provided, comprising: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors perform a spectrum measurement method as described above.

[0039] This disclosure provides a spectrum measurement method, a spectrum measurement system, and an electronic device. The technical solution of this disclosure has at least the following advantages:

[0040] The technical solution in this disclosure utilizes linear chirped signals to provide a time-frequency conversion scale for spectrum measurement. By splitting the linear chirped signal into two orthogonal linear chirped signals, and mixing and filtering them with a reference signal and the signal to be detected respectively, a reference complex chirped pulse signal and a measurement complex chirped pulse signal are obtained, from which the spectrum information of the signal to be detected is obtained. Compared to the point-by-point measurement method in traditional approaches, the solution in this disclosure can achieve high-speed and accurate measurement of the spectrum information of the signal to be detected in a simple and efficient manner, and can achieve wide-bandwidth measurement even at low sampling rates. Furthermore, this application can flexibly adjust the spectrum measurement parameters according to actual conditions to adapt to different ranges of spectrum measurement needs, thus having wider applicability. Attached Figure Description

[0041] Figure 1 This is a flowchart of a spectrum measurement method according to an embodiment of the present disclosure;

[0042] Figure 2 This is a flowchart of a method for acquiring and measuring complex chirped pulse signals according to an embodiment of the present disclosure;

[0043] Figure 3 This is a flowchart of a method for obtaining a reference complex chirped pulse signal according to an embodiment of the present disclosure;

[0044] Figure 4 This is a structural block diagram of a spectrum measurement system according to an embodiment of the present disclosure;

[0045] Figure 5 This is a block diagram of an electronic device suitable for implementing a spectrum measurement method according to embodiments of the present disclosure. Detailed Implementation

[0046] The embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the present disclosure for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0047] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0048] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0049] When using expressions such as "at least one of A, B, and C," the expression should generally be interpreted in accordance with the meaning commonly understood by a person skilled in the art (e.g., "a system having at least one of A, B, and C" should include, but is not limited to, systems having A alone, having B alone, having C alone, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.). Similarly, when using expressions such as "at least one of A, B, or C," the expression should generally be interpreted in accordance with the meaning commonly understood by a person skilled in the art (e.g., "a system having at least one of A, B, or C" should include, but is not limited to, systems having A alone, having B alone, having C alone, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.).

[0050] Furthermore, in the embodiments of this disclosure, if there are descriptions involving "first," "second," etc., such descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features.

[0051] Figure 1 This is a flowchart of a spectrum measurement method according to an embodiment of the present disclosure.

[0052] like Figure 1 As shown, the spectrum measurement method includes operations S110 to S140.

[0053] In operation S110, a linear chirped signal is acquired and divided into two orthogonal linear chirped signals: a first linear chirped signal and a second linear chirped signal.

[0054] The linear chirped signal can be, for example, a chirped signal with a certain frequency generated by a first microwave source, or a chirped signal obtained in other ways; the source of the linear chirped signal is not limited here. In the embodiments of this disclosure, the frequency of the linear chirped signal can be arbitrarily adjusted, wherein the frequency of the linear chirped signal has a linear relationship with time and can be used for frequency-time mapping. The linear chirped signal is mainly used to provide a time-frequency conversion scale for spectrum measurement.

[0055] In this embodiment of the disclosure, a linear chirped signal is used to measure the spectrum. Parameters related to the spectrum measurement can be determined or set based on the information from the linear chirped signal. These parameters include, but are not limited to, the spectrum measurement range, measurement rate, sampling rate, and measurement resolution. Specifically, the spectrum measurement range can be, for example, equal to the bandwidth of the linear chirped signal (e.g., on the order of 10 GHz); the measurement rate can be, for example, the repetition frequency of the linear chirped signal (e.g., on the order of kHz to MHz); the sampling rate can be at least twice the bandwidth of a filter (suitable for filtering pulse chirped signals, the implementation of which will be described later; the filter described here is merely an example of this function) (e.g., on the order of 100 MHz); and the measurement resolution can be, for example, the bandwidth of the linear chirped signal multiplied by the repetition frequency of the linear chirped signal divided by twice the filter bandwidth. From the above relationships, it can be seen that the solution of this disclosure can adjust the above measurement parameters according to actual conditions, thereby adapting to different spectrum measurement needs and having wider applicability.

[0056] In this embodiment, the linear chirped signal is divided into two orthogonal linear chirped signals: a first linear chirped signal and a second linear chirped signal. Typically, this means dividing the linear chirped signal into two equal linear chirped signals, performing a π / 2 phase shift on one of them to obtain the first linear chirped signal, while the other linear chirped signal remains unchanged as the second linear chirped signal. This results in two orthogonal linear chirped signals. These two orthogonal linear chirped signals will be used to provide a time-frequency conversion scale for spectrum measurement, thereby obtaining the spectral information of the signal to be detected.

[0057] In operation S120, the signal to be detected is acquired, and the complex chirped pulse signal is obtained based on the signal to be detected, the first linear chirped signal, and the second linear chirped signal.

[0058] For example, by mixing the signal to be detected with the first linear chirped signal and the second linear chirped signal obtained above, a complex chirped pulse signal can be obtained for measurement.

[0059] In operation S130, a reference signal is acquired, and a reference complex chirped pulse signal is obtained based on the reference signal, the first linear chirped signal, and the second linear chirped signal.

[0060] The reference signal may be, for example, a signal with a certain frequency generated by a second microwave source, or a signal obtained in other ways. There is no specific restriction on the source of the reference signal.

[0061] The frequency of the reference signal is within the bandwidth of the linear chirped signal; that is, the frequency of the reference signal is no greater than the highest frequency of the linear chirped signal and no less than the lowest frequency of the linear chirped signal. In this embodiment, the frequency, phase, amplitude, and other information of the reference signal can be set according to actual needs, and are not limited here.

[0062] In this embodiment, the reference signal is mainly used to calibrate the spectral information of the signal to be detected. The reference signal is mixed with the first linear chirped signal and the second linear chirped signal respectively to obtain a reference complex chirped pulse signal, which can be used to determine the spectral information of the signal to be detected.

[0063] In this embodiment of the disclosure, by using a reference signal to calibrate the spectral information of the signal to be detected, and by combining a linear chirped signal to provide a time-frequency conversion scale for spectral measurement, the accuracy and measurement rate of measuring the spectrum of the signal to be detected are improved in a simple and efficient manner.

[0064] In operation S140, the reference complex chirped pulse signal and the measured complex chirped pulse signal are cross-correlated, and the spectral information of the signal to be detected is determined based on the result of the correlation operation.

[0065] Cross-correlation is performed on the reference complex chirped pulse signal and the measured complex chirped pulse signal to obtain a complex pulse compression signal. The frequency information of the signal to be detected can be determined based on this complex pulse compression signal. Specifically, the frequency, phase, and amplitude of the signal to be detected can be extracted from the pulse compression peak of the complex pulse compression signal. The amplitude, phase, and position of the pulse compression peak characterize the amplitude, phase, and frequency of the signal to be detected.

[0066] It should be noted that although the steps of the method have been described in a specific order above, the embodiments of this disclosure are not limited thereto, and the steps may be executed in other orders as needed. For example, in some embodiments, step S130 may be executed before step S120, or may be executed synchronously, and this disclosure does not impose any restrictions on this.

[0067] The technical solution in this disclosure utilizes linear chirped signals to provide a time-frequency conversion scale for spectrum measurement. By splitting the linear chirped signal into two orthogonal linear chirped signals and mixing them with a reference signal and a signal to be detected, respectively, a reference complex chirped pulse signal and a measurement complex chirped pulse signal are obtained, from which the spectrum information of the signal to be detected is obtained. Compared to the point-by-point measurement method in traditional approaches, the solution in this disclosure can achieve high-speed and accurate measurement of the spectrum information of the signal to be detected in a simple and efficient manner. Furthermore, this application allows for flexible adjustment of spectrum measurement parameters according to actual conditions to adapt to different ranges of spectrum measurement needs, thus having wider applicability.

[0068] Figure 2 This is a flowchart of a method for acquiring and measuring complex chirped pulse signals according to an embodiment of the present disclosure. Reference will be made below. Figure 2 An example implementation of the above operation S120 will be explained.

[0069] like Figure 2 As shown, the method for acquiring the measurement complex chirped pulse signal includes operations S221 to S224.

[0070] In operation S221, the signal to be detected is mixed with the first linear chirp signal and the second linear chirp signal respectively to obtain the first pulse chirp signal and the second pulse chirp signal.

[0071] The first pulse chirp signal is generated by mixing the signal to be detected with the first linear chirp signal, and the second pulse chirp signal is generated by mixing the signal to be detected with the second linear chirp signal. The first pulse chirp signal and the second pulse chirp signal are two orthogonal signals used to provide a time-frequency conversion scale for spectrum measurement.

[0072] In operation S222, the first pulse chirp signal and the second pulse chirp signal are filtered respectively.

[0073] Specifically, the first and second pulse chirped signals obtained after mixing are filtered to obtain the desired signal frequency bands of the first and second pulse chirped signals.

[0074] In this embodiment of the disclosure, filtering the first pulse chirped signal and the second pulse chirped signal respectively yields the low-frequency and / or high-frequency components of the first and second pulse chirped signals. Both the obtained low-frequency and high-frequency components can be subsequently converted into digital pulse chirped signals to obtain a measurement complex chirped pulse signal. In some embodiments, to achieve wideband measurement at low sampling rates, the filtered low-frequency component can be used as the input signal for analog-to-digital conversion.

[0075] In operation S223, the filtered first pulse chirp signal and the second pulse chirp signal are converted into a first digital pulse chirp signal and a second digital pulse chirp signal, respectively.

[0076] For example, the filtered first pulse chirp signal and the second pulse chirp signal are respectively converted from analog to digital to obtain the corresponding first digital pulse chirp signal and the second digital pulse chirp signal.

[0077] In operation S224, Euler transformation is performed on the first digital pulse chirp signal and the second digital pulse chirp signal to obtain the measured complex chirp pulse signal.

[0078] Figure 3 This is a flowchart of a method for obtaining a reference complex chirped pulse signal according to an embodiment of the present disclosure. Reference will be made below. Figure 3 An example implementation of the above operation S130 will be explained.

[0079] like Figure 3 As shown, the method for obtaining the reference complex chirped pulse signal includes operations S331 to S334.

[0080] In operation S331, the reference signal is mixed with the first linear chirp signal and the second linear chirp signal respectively to obtain the third pulse chirp signal and the fourth pulse chirp signal.

[0081] The third pulse chirped signal is generated by mixing the reference signal with the first linear chirped signal, and the fourth pulse chirped signal is generated by mixing the reference signal with the second linear chirped signal. The third and fourth pulse chirped signals are two orthogonal signals used to provide a time-frequency conversion scale for spectrum measurement.

[0082] In operation S332, the third pulse chirp signal and the fourth pulse chirp signal are filtered respectively.

[0083] Specifically, the third and fourth pulse chirped signals obtained after mixing are filtered to obtain the desired signal frequency bands for the third and fourth pulse chirped signals.

[0084] In this embodiment of the disclosure, the process of filtering the third pulse chirp signal and the fourth pulse chirp signal is the same as or similar to the process described in operation S222 above, and will not be repeated here.

[0085] In operation S333, the filtered third pulse chirp signal and the fourth pulse chirp signal are converted into a third digital pulse chirp signal and a fourth digital pulse chirp signal, respectively.

[0086] For example, the filtered third and fourth pulse chirped signals are converted from analog to digital to obtain the corresponding third and fourth digital pulse chirped signals.

[0087] In operation S334, Euler transformation is performed on the third and fourth digital pulse chirped signals to obtain the reference complex chirped pulse signal.

[0088] Based on the above-described spectrum measurement method, this disclosure also provides a spectrum measurement system. The following will refer to... Figure 4 A detailed description of the spectrum measurement system is provided.

[0089] Figure 4 This is a structural block diagram of a spectrum measurement system according to an embodiment of the present disclosure.

[0090] like Figure 4 As shown, the spectrum measurement system 400 includes an acquisition module 410, a first conversion module 420, a second conversion module 430, and a calculation module 440.

[0091] The acquisition module 410 is used to acquire the linear chirped signal and divide the linear chirped signal into two orthogonal linear chirped signals: a first linear chirped signal and a second linear chirped signal.

[0092] The first conversion module 420 is used to acquire the signal to be detected, and to obtain the measured complex chirped pulse signal based on the signal to be detected, the first linear chirped signal, and the second linear chirped signal.

[0093] The second conversion module 430 is used to acquire a reference signal and obtain a reference complex chirped pulse signal based on the reference signal, the first linear chirped signal, and the second linear chirped signal; wherein, the reference signal is used to calibrate the spectral information of the signal to be detected.

[0094] The arithmetic module 440 is used to perform cross-correlation calculations on the reference complex chirped pulse signal and the measured complex chirped pulse signal, and to determine the spectral information of the signal to be detected based on the result of the correlation calculation.

[0095] In some embodiments of this disclosure, the first conversion module 420 includes a first mixing unit, a first filtering unit, a first conversion unit, and a first arithmetic unit.

[0096] The first mixing unit is used to mix the signal to be detected with a first linear chirp signal and a second linear chirp signal respectively to obtain a first pulse chirp signal and a second pulse chirp signal; wherein, the first pulse chirp signal is the signal generated after mixing the signal to be detected with the first linear chirp signal, and the second pulse chirp signal is the signal generated after mixing the signal to be detected with the second linear chirp signal.

[0097] The first filtering unit is used to filter the first pulse chirp signal and the second pulse chirp signal respectively.

[0098] The first conversion unit is used to convert the filtered first pulse chirp signal and the second pulse chirp signal into a first digital pulse chirp signal and a second digital pulse chirp signal, respectively.

[0099] The first arithmetic unit is used to perform Euler transformation on the first digital pulse chirp signal and the second digital pulse chirp signal to obtain the measured complex chirp pulse signal.

[0100] In some embodiments of this disclosure, the second conversion module 430 includes a second mixing unit, a second filtering unit, a second conversion unit, and a second arithmetic unit.

[0101] The second mixing unit is used to mix the reference signal with the first linear chirp signal and the second linear chirp signal respectively to obtain the third pulse chirp signal and the fourth pulse chirp signal; wherein, the third pulse chirp signal is the signal generated after mixing the reference signal with the first linear chirp signal, and the fourth pulse chirp signal is the signal generated after mixing the reference signal with the second linear chirp signal.

[0102] The second filtering unit is used to filter the third pulse chirp signal and the fourth pulse chirp signal respectively.

[0103] The second conversion unit is used to convert the filtered third pulse chirp signal and the fourth pulse chirp signal into a third digital pulse chirp signal and a fourth digital pulse chirp signal, respectively.

[0104] The second arithmetic unit is used to perform Euler transformation on the third and fourth digital pulse chirped signals to obtain a reference complex chirped pulse signal.

[0105] In some embodiments of this disclosure, the frequency of the reference signal is within the bandwidth of the linear chirped signal.

[0106] It should be noted that the implementation methods, technical problems solved, functions achieved, and technical effects of each module / unit / subunit in the device embodiments are the same as or similar to the implementation methods, technical problems solved, functions achieved, and technical effects of the corresponding steps in the method embodiments, and will not be repeated here.

[0107] According to embodiments of this disclosure, any plurality of modules among the acquisition module 410, the first conversion module 420, the second conversion module 430, and the calculation module 440 may be combined into one module, or any one of these modules may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of other modules and implemented in one module. According to embodiments of this disclosure, at least one of the acquisition module 410, the first conversion module 420, the second conversion module 430, and the calculation module 440 may be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or implemented in hardware or firmware by any other reasonable means of integrating or packaging the circuitry, or implemented in any one of the three implementation methods of software, hardware, and firmware, or in a suitable combination of any of these. Alternatively, at least one of the acquisition module 410, the first conversion module 420, the second conversion module 430, and the calculation module 440 may be implemented at least partially as a computer program module, which can perform corresponding functions when the computer program module is run.

[0108] Figure 5 A block diagram schematically illustrates an electronic device suitable for implementing a spectrum measurement method according to an embodiment of the present disclosure.

[0109] like Figure 5 As shown, an electronic device 500 according to an embodiment of the present disclosure includes a processor 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage portion 508 into a random access memory (RAM) 503. The processor 501 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 501 may also include onboard memory for caching purposes. The processor 501 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0110] RAM 503 stores various programs and data required for the operation of electronic device 500. Processor 501, ROM 502, and RAM 503 are interconnected via bus 504. Processor 501 performs various operations of the method flow according to embodiments of the present disclosure by executing programs in ROM 502 and / or RAM 503. It should be noted that the programs may also be stored in one or more memories other than ROM 502 and RAM 503. Processor 501 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in said one or more memories.

[0111] According to embodiments of this disclosure, the electronic device 500 may further include an input / output (I / O) interface 505, which is also connected to a bus 504. The electronic device 500 may also include one or more of the following components connected to the I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 510 as needed so that computer programs read from it can be installed into the storage section 508 as needed.

[0112] This disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs that, when executed, implement the method according to the embodiments of this disclosure.

[0113] According to embodiments of this disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, such as including, but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this disclosure, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to embodiments of this disclosure, the computer-readable storage medium may include ROM 502 and / or RAM 503 and / or one or more memories other than ROM 502 and RAM 503 described above.

[0114] Embodiments of this disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowchart. When the computer program product is run on a computer system, the program code is used to enable the computer system to implement the spectrum measurement method provided in the embodiments of this disclosure.

[0115] When the computer program is executed by the processor 501, it performs the functions defined in the system / apparatus of this disclosure embodiments. According to embodiments of this disclosure, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0116] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and may be downloaded and installed via the communication section 509, and / or installed from a removable medium 511. The program code contained in the computer program can be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0117] In such an embodiment, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable medium 511. When the computer program is executed by processor 501, it performs the functions defined in the system of this disclosure embodiment. According to embodiments of this disclosure, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0118] According to embodiments of this disclosure, program code for executing the computer programs provided in embodiments of this disclosure can be written in any combination of one or more programming languages. Specifically, these computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C", or similar programming languages. The program code can execute entirely on the user's computing device, partially on the user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0119] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0120] Those skilled in the art will understand that the features described in the various embodiments and / or claims of this disclosure can be combined or combined in various ways, even if such combinations or combinations are not explicitly described in this disclosure. In particular, the features described in the various embodiments and / or claims of this disclosure can be combined or combined in various ways without departing from the spirit and teachings of this disclosure. All such combinations and / or combinations fall within the scope of this disclosure.

[0121] The embodiments of this disclosure have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of this disclosure. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. The scope of this disclosure is defined by the appended claims and their equivalents. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of this disclosure, and all such substitutions and modifications should fall within the scope of this disclosure.

Claims

1. A spectrum measurement method, characterized in that, include: Acquire the linear chirped signal and divide the linear chirped signal into two orthogonal linear chirped signals: a first linear chirped signal and a second linear chirped signal. A signal to be detected is acquired, and the signal to be detected is mixed with a first linear chirp signal and a second linear chirp signal respectively to obtain a first pulse chirp signal and a second pulse chirp signal; wherein, the first pulse chirp signal is the signal generated by mixing the signal to be detected with the first linear chirp signal, and the second pulse chirp signal is the signal generated by mixing the signal to be detected with the second linear chirp signal; the first pulse chirp signal and the second pulse chirp signal are filtered respectively; the filtered first pulse chirp signal and the second pulse chirp signal are converted into a first digital pulse chirp signal and a second digital pulse chirp signal respectively; Euler transformation is performed on the first digital pulse chirp signal and the second digital pulse chirp signal to obtain a measured complex chirp pulse signal; Obtain reference signal, The reference signal is mixed with the first linear chirp signal and the second linear chirp signal respectively to obtain a third pulse chirp signal and a fourth pulse chirp signal; wherein, the third pulse chirp signal is the signal generated by mixing the reference signal with the first linear chirp signal, and the fourth pulse chirp signal is the signal generated by mixing the reference signal with the second linear chirp signal; the third pulse chirp signal and the fourth pulse chirp signal are filtered respectively; the filtered third pulse chirp signal and the fourth pulse chirp signal are converted into a third digital pulse chirp signal and a fourth digital pulse chirp signal respectively; the third digital pulse chirp signal and the fourth digital pulse chirp signal are subjected to Euler transformation to obtain a reference complex chirp pulse signal; wherein, the reference signal is used to calibrate the spectral information of the signal to be detected; The reference complex chirped pulse signal and the measured complex chirped pulse signal are cross-correlated, and the spectral information of the signal to be detected is determined based on the result of the correlation operation.

2. The spectrum measurement method according to claim 1, characterized in that, The frequency of the reference signal is within the bandwidth of the linear chirped signal.

3. The spectrum measurement method according to claim 2, characterized in that, Determining the spectral information of the signal to be detected based on the results of relevant calculations includes: Based on the results of the relevant calculations, at least one of the frequency, phase, and amplitude of the signal to be detected is determined.

4. A spectrum measurement system, characterized in that, include: An acquisition module is used to acquire a linear chirped signal and divide the linear chirped signal into two orthogonal linear chirped signals: a first linear chirped signal and a second linear chirped signal. The first conversion module is used to acquire the signal to be detected, and to obtain a measurement complex chirped pulse signal based on the signal to be detected, the first linear chirped signal, and the second linear chirped signal. The second conversion module is used to acquire a reference signal and, based on the reference signal, the first linear chirp signal, and the second linear chirp signal, obtain a reference complex chirp pulse signal; wherein, the reference signal is used to calibrate the spectral information of the signal to be detected; The calculation module is used to perform cross-correlation calculation on the reference complex chirped pulse signal and the measured complex chirped pulse signal, and determine the spectral information of the signal to be detected based on the result of the correlation calculation; The first conversion module includes: A first mixing unit is configured to mix the signal to be detected with a first linear chirp signal and a second linear chirp signal respectively to obtain a first pulse chirp signal and a second pulse chirp signal; wherein, the first pulse chirp signal is a signal generated by mixing the signal to be detected with the first linear chirp signal, and the second pulse chirp signal is a signal generated by mixing the signal to be detected with the second linear chirp signal; The first filtering unit is used to filter the first pulse chirp signal and the second pulse chirp signal respectively; The first conversion unit is used to convert the filtered first pulse chirp signal and the second pulse chirp signal into a first digital pulse chirp signal and a second digital pulse chirp signal, respectively; and The first arithmetic unit is used to perform Euler transformation on the first digital pulse chirp signal and the second digital pulse chirp signal to obtain the measured complex chirp pulse signal; The second conversion module includes: The second mixing unit is used to mix the reference signal with the first linear chirp signal and the second linear chirp signal respectively to obtain a third pulse chirp signal and a fourth pulse chirp signal; wherein, the third pulse chirp signal is the signal generated after mixing the reference signal with the first linear chirp signal, and the fourth pulse chirp signal is the signal generated after mixing the reference signal with the second linear chirp signal; The second filtering unit is used to filter the third pulse chirp signal and the fourth pulse chirp signal respectively; The second conversion unit is used to convert the filtered third pulse chirp signal and the fourth pulse chirp signal into a third digital pulse chirp signal and a fourth digital pulse chirp signal, respectively; and The second arithmetic unit is used to perform Euler transformation on the third digital pulse chirped signal and the fourth digital pulse chirped signal to obtain the reference complex chirped pulse signal.

5. The spectrum measurement system according to claim 4, characterized in that, The frequency of the reference signal is within the bandwidth of the linear chirped signal.

6. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors perform the spectrum measurement method according to any one of claims 1 to 3.

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