Noise intensity estimation method, device, equipment and computer-readable storage medium

Abstract

The present invention discloses a method for estimating the noise intensity in an analog signal, which includes sampling the analog signal through an analog-to-digital sampling system to obtain a sampling signal; performing a difference operation on the sampling signals obtained from two samplings with a sampling time interval not greater than a preset time period to obtain a difference signal; wherein, the preset time period is the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal; and determining the noise intensity in the analog signal according to the difference signal. In this application, the difference signal between the sampling signals with a sampling time interval not greater than the ratio of the sampling accuracy to the reference maximum change rate of the target signal is used as the sample data for determining the noise signal intensity, which improves the accuracy of estimating the noise signal intensity and is beneficial to accurately determining the target signal. This application also provides an apparatus, a device, and a computer-readable storage medium for estimating the noise intensity in an analog signal, which have the above beneficial effects.

Description

Technical Field

[0001] The present invention relates to the technical field of analog signal processing, and in particular, to a method, device, equipment, and computer-readable storage medium for estimating the noise intensity in an analog signal. Background Art

[0002] An analog signal is a signal whose mathematical form is a continuous function in the time domain. Corresponding to the analog signal is the digital signal, the latter taking discrete logical values while the former can take continuous values. The concept of analog signals is often used in the field related to electricity, but sometimes the concept of analog signals is also used in disciplines such as classical mechanics, pneumatics, and hydraulics. Analog signals utilize some physical properties of an object to express and transmit information. For example, a non-liquid barometer uses the spiral position of a pointer to express pressure information. In electricity, voltage is the most common physical medium for analog signals. In addition, frequency, current, and charge can also be used to express analog signals. Thus, it can be seen that the application fields of analog signals are very extensive.

[0003] However, in the actually acquired analog signal, it is inevitable that there is noise in the sampled signal due to various reasons, and the accuracy of extracting the noise signal in the sampled signal directly affects the extraction of the information of the target signal in the analog signal. Thus, it can be seen that how to improve the accuracy of determining the noise signal in the analog signal directly affects the accuracy of analyzing the information contained in the target signal. Summary of the Invention

[0004] The object of the present invention is to provide a method, device, equipment, and computer-readable storage medium for estimating the noise intensity in an analog signal, which improves the accuracy of determining the noise signal intensity in the analog signal to a certain extent, thereby facilitating the accurate extraction of the target signal in the analog signal.

[0005] To solve the above technical problems, the present invention provides a method for estimating the noise intensity in an analog signal, including:

[0006] Sampling the analog signal through an analog-to-digital sampling system to obtain a sampled signal;

[0007] Performing a difference operation on the sampled signals obtained from two samplings with a sampling time interval not greater than a preset time period to obtain a difference signal; wherein, the preset time period is the ratio of the sampling accuracy of the analog-to-digital sampling system and the reference maximum change rate of the target signal in the analog signal;

[0008] Determining the noise intensity in the analog signal according to the difference signal.

[0009] In an alternative embodiment of the present application, an analog signal is sampled by an analog-to-digital sampling system to obtain a sampling signal, including:

[0010] At every preset period, at least two of the sampling signals are continuously collected within the preset time period in the same preset period; wherein, the preset period satisfies the Nyquist criterion, and the preset period is greater than the preset time period.

[0011] In an alternative embodiment of the present application, the preset time period is less than wherein, LSB is the sampling accuracy of the analog-to-digital sampling system; f B is the reference bandwidth of the target signal; A s is the reference maximum amplitude of the target signal.

[0012] In an alternative embodiment of the present application, differential operations are performed on the sampling signals obtained from two samplings with a sampling time interval not greater than the preset time period, including:

[0013] Performing differential operations on the sampling signals obtained from two adjacent samplings within the preset time period in the same preset period;

[0014] Determining the noise intensity in the analog signal according to the differential signal, including:

[0015] According to the filtering formula Performing filtering processing on the differential signal, and determining the noise intensity in the analog signal based on the filtered differential signal; wherein, N - 1 is the total number of samplings within the preset time period in the nth preset period, i ∈ (1, N - 1), N ≥ 3, S n,i is the sampling signal obtained from the i-th sampling within the preset time period.

[0016] In an alternative embodiment of the present application, it further includes:

[0017] Pre-estimating the reference maximum change rate of the target signal based on historical analog signal data.

[0018] In an alternative embodiment of the present application, after determining the noise intensity in the analog signal, it further includes:

[0019] Removing the noise signal from the sampling signal according to the noise intensity to obtain the target signal in the analog signal.

[0020] The present application also provides a device for estimating the noise intensity in an analog signal, including:

[0021] A signal acquisition module, configured to sample an analog signal through an analog-to-digital sampling system to obtain a sampling signal;

[0022] A differential operation module is used to perform differential operation on sampling signals obtained from two samplings with a sampling time interval not greater than a preset time period to obtain a differential signal; wherein, the preset time period is the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal.

[0023] A noise analysis module is used to determine the noise intensity in the analog signal according to the differential signal.

[0024] In an optional embodiment of the present application, the signal sampling module is used to continuously collect at least two of the sampling signals at intervals of a preset period within the preset time period in the same preset period; wherein, the preset period satisfies the Nyquist criterion and the preset period is greater than the preset time period.

[0025] The present application also provides a device for estimating the noise intensity in an analog signal, including:

[0026] An analog-to-digital sampling system is used to sample an analog signal to obtain a sampling signal;

[0027] A memory is used to store a computer program;

[0028] A processor is used to execute the computer program according to the sampling signal to implement the steps of the method for estimating the noise intensity in an analog signal as described in any one of the above.

[0029] The present application also provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program, and the computer program is executed to implement the steps of the method for estimating the noise intensity in an analog signal as described in any one of the above.

[0030] A method for estimating the noise intensity in an analog signal provided by the present invention includes sampling an analog signal through an analog-to-digital sampling system to obtain a sampling signal; performing differential operation on sampling signals obtained from two samplings with a sampling time interval not greater than a preset time period to obtain a differential signal; wherein, the preset time period is the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal; and determining the noise intensity in the analog signal according to the differential signal.

[0031] In this application, when analyzing and estimating the noise signal intensity in an analog signal, a differential signal is obtained by performing a difference operation on sampling signals with a time interval between two samplings not greater than the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal. In this time interval, the change amount of the noise signal is mainly reflected in the two differential signals. Even for the sampling signal collected at the moment when the target signal has the maximum change rate, the noise signal in the obtained differential signal is only equivalent to the intensity of the target signal. That is to say, for most of the collected sampling signals, the noise signal part is basically greater than the target signal part. Then, for the differential signal corresponding to the sampling signal, it is closer to the change amount of the noise signal. Therefore, in this application, this differential signal can be directly regarded as a sample of the change amount of the noise signal, and the noise signal intensity can be analyzed and obtained, which can ensure the accuracy of the noise signal intensity estimation to a certain extent and is beneficial to the subsequent analysis and research of the target signal in the analog signal.

[0032] This application also provides a device, equipment, and computer-readable storage medium for estimating the noise intensity in an analog signal, which have the above beneficial effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0034] Figure 1 It is a schematic flowchart of the method for estimating the noise intensity in an analog signal provided by an embodiment of this application;

[0035] Figure 2 It is a schematic diagram of the time interval for collecting sampling signals of an analog signal provided by an embodiment of this application;

[0036] Figure 3 It is a structural block diagram of the device for estimating the noise intensity in an analog signal provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] In the conventional analog signal acquisition process, in addition to the target signal that truly reflects the change of the target quantity, the analog signal inevitably contains a noise signal that interferes with the target signal. When actually obtaining information related to the target quantity based on the analysis of the analog signal, obviously, to ensure the accuracy of the information obtained from the analog signal, it is necessary to separate the target signal from the analog signal or remove the noise signal from the analog signal.

[0038] At present, there are various ways to remove noise signals from analog signals. However, more or less, there are certain drawbacks in different methods of removing noise signals, and the accuracy of the extracted noise signals cannot be guaranteed.

[0039] For this reason, a technical solution is proposed in this application that can improve the accuracy of determining the noise intensity in an analog signal to a certain extent.

[0040] To enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0041] As Figure 1 shown, Figure 1 is a schematic flowchart of a method for estimating the noise intensity in an analog signal provided by an embodiment of the present application. The method may include:

[0042] S11: Sampling the analog signal through an analog-to-digital sampling system to obtain a sampling signal.

[0043] When actually collecting analog signals, if the analog-to-digital sampling system allows, the sampling signal can be obtained in real time. It is also possible to collect sample data of the analog signal according to a predetermined collection period. There is no specific limitation in this application for this.

[0044] The signal sampling in this embodiment mainly uses an analog-to-digital sampling system to perform analog-to-digital conversion sampling on the analog signal.

[0045] S12: Performing a difference operation on the sampling signals obtained from two samplings with a sampling time interval not greater than a preset time period to obtain a difference signal; wherein, the preset time period is the ratio of the sampling accuracy of the analog-to-digital sampling system and the reference maximum change rate of the target signal in the analog signal.

[0046] As described above, collecting sample data of the analog signal can be data collection according to a predetermined period or real-time collection. However, no matter which collection method is used, it should be ensured that the sampling time intervals between multiple sampling signals are not greater than the preset time period.

[0047] S13: Determining the noise intensity in the analog signal according to the difference signal.

[0048] Let the sampling signal be represented as: S i = s i + e i ; where i = 1, 2, 3......N, i is the sampling number; s iis the target signal in the sampling signal collected for the i-th time; e i is the noise signal in the sampling signal collected for the i-th time.

[0049] Therefore, the differential signal between two adjacent sampling signals is:

[0050] ΔS = S i+1 - S i = (s i+1 - s i ) + (e i+1 - e i ).

[0051] Thus, in a strong noise environment, that is, (e i+1 - e i ) is much larger than (s i+1 - s i ), so the differential signal ΔS can be approximately regarded as the change amount of the noise signal. Therefore, this differential signal can be used as the noise sample for analyzing and determining the noise signal intensity.

[0052] In a weak noise environment, that is, (e i+1 - e i ) is much smaller than (s i+1 - s i ), the differential signal ΔS is more approximately equivalent to the change amount of the target signal. It can be seen that when the noise intensity is weak, it is difficult to analyze and obtain the information of the noise signal from this differential signal.

[0053] For this reason, in this application, the differential signal for performing the difference operation is obtained by performing a differential operation on sampling signals with a sampling time interval not greater than the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal.

[0054] It should be noted that the sampling accuracy of the analog-to-digital sampling system, that is, the difference between the analog signals obtained by the analog-to-digital sampling system sampling the analog signal twice. For example, when the analog signal is a voltage value, it is the difference between the voltage values obtained by the two samplings.

[0055] For an analog-to-digital sampling system, if its analog-to-digital conversion accuracy is 1 mV, after sampling the analog signal, it will convert the analog signal into a digital signal for output. For example, the analog-to-digital sampling system will convert the analog signals in the range of [199.5, 200.5) mV into the digital value 200 mV; [200.5, 201.5) mV into 201. Obviously, the analog signal of 200.2 mV will be converted into 200 nearby during analog-to-digital conversion, and 200.7 mV into 201 nearby. In this way, errors are inevitably introduced in the analog-to-digital conversion system, which is determined by the discreteness of the digital signal representation and is inevitable, regardless of whether there is other noise in the input analog signal.

[0056] In the above example, the error of the former is 200.2-200=0.2mV, and the error of the latter is 200.7-201=-0.3mV. In digital signal processing, this error is called quantization noise, because this error is unavoidable just like real noise. It can be seen that although quantization noise is unavoidable, it is different from conventional noise. Its amplitude is limited and can only be between [-0.5, +0.5)*sampling accuracy, which is determined by the sampling accuracy. Therefore, in order to more accurately extract noise information in this application, the quantization noise of this part is also taken into account.

[0057] Taking the target signal as a cosine signal as an example, assume that the target signal is: f(t) = A s cos(2πf B t); then for the target signal, in the limited bandwidth f B The rate of change of signal intensity at the most intense moment of internal change can be calculated by taking the derivative to be 2πf B A s ; Set the time interval between two samplings to Δt, then the change in the target signal between the two sampling signals is 2πf B A s Δt.

[0058] If the change of the target signal is less than the sampling accuracy LSB of the analog-to-digital sampling system; that is, the change of the target signal is less than the change of the noise signal, then 2πf B A s Δt<LSB, corresponding

[0059] Therefore, when performing differential operation on analog signals, it is obvious that if the sampling time interval between two sampling signals is less than That is, the ratio of the sampling accuracy of the analog-to-digital sampling system and the reference maximum change rate of the target signal in the analog signal can ensure that the maximum change amount collected around the maximum change rate of the target signal is equivalent to the amplitude of the quantization noise of the analog-to-digital sampling system, and it can also ensure that the change amount of the noise signal in the differential signal corresponding to the sampling signal collected at other times within the period of the target signal is greater than the change amount of the target signal, thereby ensuring that the differential signal of the sampling signal reflects the information of the change of the noise signal to a greater extent, thereby reducing the interference of the target signal on the extraction of the noise signal information. As a result, the differential signal of two sampling signals with a sampling time interval less than the ratio of the sampling accuracy of the analog-to-digital sampling system and the reference maximum change rate of the target signal in the analog signal is used as the data sample basis for analyzing and determining the strength of the noise signal, thereby improving the accuracy of the determined noise signal strength.

[0060] It should be noted that for This maximum sampling time interval is determined based on the assumption that the target signal is generally a cosine signal. However, in practical applications, the target signal does not necessarily fully conform to a cosine signal. But taking the preset time period to be less than as the standard for setting the preset time period can meet the noise detection requirements for most analog signals. In practical applications, regardless of the variation pattern of the target signal, it can be considered that taking the preset time period to be less than as the standard for setting the preset time period, the finally determined noise intensity can also reach a high accuracy. Here, LSB is the sampling accuracy of the analog-to-digital sampling system; f B is the reference bandwidth of the target signal; A s is the reference maximum amplitude of the target signal.

[0061] In addition, in the above example, it is illustrated that the sampling time interval between two adjacent sampled signals is not greater than the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal. However, obviously in practical applications, it is only necessary that the sampling time interval between two sampled signals is not greater than the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal, and these two sampled signals do not necessarily have to be adjacent sampled signals.

[0062] Furthermore, it should be noted that the period of the target signal in the analog signal and the intensity function it satisfies are theoretically unknown. However, to determine the preset time period, that is, the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal, information such as the frequency, amplitude, and functional relationship of the target signal needs to be determined.

[0063] Therefore, in an optional embodiment of the present application, it may further include:

[0064] Estimating the reference maximum change rate of the target signal in advance based on historical analog signal data.

[0065] Specifically, computer learning can be performed based on historical analog signals to determine the functional relationship that the target signal approximately satisfies and then take the derivative to finally determine the reference maximum change rate of the target signal intensity. Of course, the reference maximum change rate of its signal intensity can also be determined using the functional relationship that the target signal theoretically satisfies. There is no specific limitation in this application.

[0066] It can be understood that in the above embodiment, when taking the preset time period to be less than as the standard for setting the preset time period, f B and A s can also be estimated based on historical data.

[0067] The corresponding reference maximum change rates for the signal intensities of the above-mentioned determined target signals are all determined by roughly estimating the function satisfied by the target signal. In practical applications, the function satisfied by the estimated and determined target signal does not need to be overly precise, and being roughly precise is sufficient. To enable the differential signal to better reflect the change amount of the noise signal, a differential signal with a sampling time interval between two sampling signals much smaller than the preset time period can be used. For example, this sampling time interval can be half of the preset time period, etc.

[0068] For the method of determining the noise signal intensity based on this differential signal, the differential signal can be substituted into a common noise signal intensity function, and the noise intensity can be obtained through the operation of this noise signal function. This belongs to a common method for determining the noise signal intensity based on the differential signal, and will not be introduced in detail in this application.

[0069] It can be understood that after determining the noise signal intensity in the analog signal, obviously, the noise signal in the sampling signal can be removed based on the noise signal intensity, thereby obtaining the target signal in the analog signal. Based on this target signal, the information of the measured object reflected by this target signal can be analyzed.

[0070] In summary, when analyzing the signal intensity of the noise signal contained in the analog signal in this application, the differential signal between the sampling signals with a sampling time interval not greater than the ratio of the sampling accuracy of the analog-to-digital sampling system and the reference maximum change rate of the target signal in the analog signal is used as the sample data for analyzing the noise signal intensity, so as to obtain a differential signal that mainly reflects the change amount of the noise signal. Thereby, the accuracy of the noise signal intensity determined by analyzing with this differential signal is ensured, providing a good data basis for subsequent analysis and research of the target signal in the analog signal, and being beneficial to the accuracy of the information analyzed based on the target signal.

[0071] Based on the above embodiments. In this application, to obtain a sampling time interval not greater than the ratio of the sampling accuracy of the analog-to-digital sampling system and the reference maximum change rate of the target signal in the analog signal, it is required that when collecting the analog signal, the time interval during the collection of the analog signal must meet certain requirements. For this reason, in an optional embodiment of this application, the process of sampling the analog signal to obtain the sampling signal may include:

[0072] At every interval of a preset period, at least two sampling signals are continuously collected within a preset time period; wherein, the preset period satisfies the Nyquist criterion, and the preset period is greater than the preset time period.

[0073] The Nyquist criterion (Nyquist criterion) means that the sampling frequency is greater than 2 times the signal bandwidth. Correspondingly, if the preset period satisfies the Nyquist criterion, the frequency corresponding to this preset period is greater than 2 times the bandwidth of the target signal.

[0074] Reference Figure 2 , Figure 2 is a schematic diagram of the time interval of the sampling signal for collecting the analog signal provided by the embodiment of the present application. There is a signal acquisition time period T G every preset period T S . This signal acquisition time period T S is also the time period for signal acquisition. In this embodiment, it is set that this signal acquisition time period T S is equal to the preset time period, that is, the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal. Then, within this signal acquisition time period T S , the sampling time interval between at least two sampling signals obtained by collecting the analog signal must not be greater than the preset time period. Thus, at least two sampling signals that meet the requirement that the sampling time interval is not greater than the preset time period can be obtained.

[0075] Of course, in actual applications, within each preset period T G , the signal acquisition time period T S can also be a time period longer than the preset time period, as long as it is ensured that within each signal acquisition time period T S , the sampling time interval between at least two sampling signals is less than the preset time period.

[0076] In addition, the reason for collecting signals only within one signal acquisition time period T G within each preset period T S is that in actual applications, in addition to collecting analog signals, the processor also needs to complete other operation programs. It can be understood that in actual applications, a processor dedicated to collecting analog signals can also be used. When collecting signals, there is no need to collect the analog signal multiple times within a small signal acquisition time period T S at intervals of a certain time duration. A large number of sampling signals can be continuously collected at a time interval less than the preset time period. Then, the sampling time between adjacent two collected sampling signals all meets the requirement that the sampling time is not greater than the preset time period. Thus, the difference operation can be performed on adjacent two measured sampling signals, and the differential signal obtained is used to determine the noise signal intensity.

[0077] In addition, the duration of the preset period T G can be determined based on the frequency of the target signal. According to the Nyquist criterion, when sampling at a frequency more than twice the maximum bandwidth of the analog signal, the obtained sampling signal contains all the information of the original analog signal. Therefore, this preset period T G should be less than half of the signal period of the original analog signal.

[0078] Based on the above embodiments, in order to further improve the accuracy of the differential signal as the noise signal sample data for analyzing the noise signal intensity. In another optional embodiment of the present application, the differential signal can also be filtered.

[0079] Taking the embodiment where at least two analog signals are continuously collected within only one preset time period in each preset cycle as an example. In an optional embodiment of the present application, the process of obtaining the differential signal may include:

[0080] Performing a differential operation on the sampling signals obtained from two adjacent samplings within the preset time period in the same preset cycle to obtain a differential signal;

[0081] The process of filtering the above differential signal may include:

[0082] According to the filtering formula Filter the differential signal, and based on the filtered differential signal, determine the noise intensity; where N - 1 is the total number of samplings within the preset time period in the nth preset cycle, i ∈ (1, N - 1), N ≥ 3, and S n,i is the sampling signal obtained from the ith sampling within the preset time period.

[0083] In this embodiment, filtering the differential signal mainly means taking the average of multiple differential signals obtained by performing difference operations between multiple sequentially adjacent sampling signals collected within the preset time period in the same preset cycle, so as to obtain an average value of the differential signal within this preset cycle, which is used as the differential signal collected within this preset cycle.

[0084] Of course, it can be understood that in actual applications, other filtering formulas can also be considered for filtering operations, which are not listed one by one in this application.

[0085] And, in actual applications, obviously the above filtering formula is also applicable to the embodiment where the time period for collecting signals within the preset cycle is greater than the preset time period, and the sampling time intervals of multiple sampling signals within the same preset cycle are less than the preset time period, which will not be elaborated in detail in this application.

[0086] Next, the noise intensity estimation device for analog signals provided in the embodiments of the present invention will be introduced. The noise intensity estimation device for analog signals described below can be correspondingly referred to the noise intensity estimation method for analog signals described above.

[0087] Figure 3 For the structural block diagram of the noise intensity estimation device for analog signals provided in the embodiments of the present invention, refer to Figure 3 The noise intensity estimation device can include:

[0088] The signal acquisition module 100 is configured to sample an analog signal through an analog-to-digital sampling system to obtain a sampled signal;

[0089] The differential operation module 200 is configured to perform a differential operation on the sampled signals obtained from two samplings with a sampling time interval not greater than a preset time period to obtain a differential signal; wherein, the preset time period is the ratio of the sampling accuracy of the analog-to-digital sampling system and the reference maximum change rate of the target signal in the analog signal;

[0090] The noise analysis module 300 is configured to determine the noise intensity in the analog signal according to the differential signal.

[0091] In an optional embodiment of the present application, the signal sampling module 100 is configured to continuously collect at least two of the sampled signals within the preset time period in the same preset cycle at intervals of the preset cycle; wherein, the preset cycle satisfies the Nyquist criterion, and the preset cycle is greater than the preset time period.

[0092] In an optional embodiment of the present application, the preset time period is less than wherein, LSB is the sampling accuracy of the analog-to-digital sampling system; f B is the reference bandwidth of the target signal; A s is the reference maximum amplitude of the target signal.

[0093] In an optional embodiment of the present application, the differential operation module 200 is configured to perform a differential operation on the sampled signals obtained from two adjacent samplings within the preset time period in the same preset cycle;

[0094] The noise analysis module 300 is configured to filter the differential signal according to the filtering formula and determine the noise intensity based on the filtered differential signal; wherein, N - 1 is the total number of samplings within the preset time period in the nth preset cycle, i ∈ (1, N - 1), N ≥ 3, S n,i is the sampled signal obtained from the i-th sampling within the preset time period.

[0095] In an optional embodiment of the present application, it further includes a first operation module configured to estimate the reference maximum change rate of the target signal in advance based on historical analog signal data.

[0096] In an optional embodiment of the present application, it further includes a second operation module configured to, after determining the noise intensity in the analog signal, remove the noise signal from the sampled signal according to the noise intensity to obtain the target signal in the analog signal.

[0097] The noise intensity estimation device for the analog signal in this embodiment is used to implement the aforementioned noise intensity estimation method for the analog signal. Therefore, the specific implementation manners in the noise intensity estimation device for the analog signal can be seen in the embodiment part of the noise intensity estimation method for the analog signal in the foregoing text, and will not be elaborated here.

[0098] This application also provides an embodiment of a noise intensity estimation device for an analog signal. The device may include:

[0099] An analog-to-digital sampling system for sampling the analog signal to obtain a sampling signal;

[0100] A memory for storing a computer program;

[0101] A processor for executing the computer program according to the sampling signal to implement the steps of the noise intensity estimation method for the analog signal as described in any one of the above.

[0102] In the noise intensity estimation device for the analog signal in this application, by performing a difference operation on the sampling signals with a sampling time interval not greater than the ratio of the sampling accuracy of the analog-to-digital sampling system to the reference maximum change rate of the target signal in the analog signal, a difference signal that can more accurately reflect the change amount of the noise signal is obtained, and this is used as the data basis for analyzing and determining the noise signal intensity function, which improves the accuracy of the noise signal intensity function to a certain extent and is beneficial to accurately analyzing the target signal in the analog signal subsequently.

[0103] This application also provides a computer-readable storage medium storing a computer program, and the computer program is executed to implement the steps of the noise intensity estimation method for the analog signal as described in any one of the above.

[0104] The computer-readable storage medium may include: random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium well-known in the technical field.

[0105] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that the elements inherent in a process, method, article or device comprising a series of elements. Without further limitation, an element defined by the statement "comprising an..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the said element. In addition, the parts of the above technical solutions provided by the embodiments of the present application that are consistent with the corresponding technical solutions in the prior art are not described in detail to avoid unnecessary repetition.

[0106] Specific examples are used in this text to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims

1. A method for estimating the noise intensity in an analog signal, characterized in that, Comprising: Sampling an analog signal through an analog-to-digital sampling system to obtain a sampled signal; Performing a difference operation on the sampled signals obtained from two samplings with a sampling time interval not greater than a preset time period to obtain a difference signal; wherein, the preset time period is the ratio of the sampling accuracy of the analog-to-digital sampling system and the reference maximum change rate of the target signal in the analog signal; the reference maximum change rate is the maximum change rate of the signal intensity of the target signal within a limited bandwidth; Determining the noise intensity in the analog signal according to the difference signal.

2. The method for estimating the noise intensity in an analog signal according to claim 1, wherein Sampling an analog signal through an analog-to-digital sampling system to obtain a sampled signal, including: At each interval of a preset period, continuously collecting at least two of the sampled signals within the preset time period in the same preset period; wherein, the preset period satisfies the Nyquist criterion, and the preset period is greater than the preset time period.

3. The method for estimating the noise intensity in an analog signal according to claim 2, wherein, The preset time period is less than wherein, LSB is the sampling accuracy of the modulus sampling system; f B is the reference bandwidth of the target signal; A s is the reference maximum amplitude of the target signal; the reference bandwidth is the bandwidth of the target signal, and the reference maximum amplitude is the maximum amplitude of the target signal.

4. The method for estimating the noise intensity in an analog signal according to claim 2, characterized in that Performing a difference operation on the sampled signals obtained from two samplings with a sampling time interval not greater than a preset time period, including: Performing a difference operation on the sampled signals obtained from two adjacent samplings within the preset time period in the same preset period; Determining the noise intensity in the analog signal according to the difference signal, including: According to the filtering formula filter the differential signal, and determine the noise intensity in the analog signal based on the filtered differential signal; where N - 1 is the total number of samplings in the preset time period of the nth preset period, i ∈ (1, N - 1), N ≥ 3, S n,i is the sampling signal obtained by the i-th sampling in the preset time period.

5. The method for estimating the noise intensity in an analog signal according to claim 1, wherein Further comprising: Pre-estimating the reference maximum change rate of the target signal based on historical analog signal data.

6. The method for estimating the noise intensity in an analog signal according to claim 1, wherein, After determining the noise intensity in the analog signal, further comprising: Removing the noise signal from the sampled signal according to the noise intensity to obtain the target signal in the analog signal.

7. An apparatus for estimating the noise intensity in an analog signal, characterized in that, Comprising: A signal acquisition module, configured to sample an analog signal through an analog-to-digital sampling system to obtain a sampled signal; A difference operation module, configured to perform a difference operation on the sampled signals obtained from two samplings with a sampling time interval not greater than a preset time period to obtain a difference signal; wherein, the preset time period is the ratio of the sampling accuracy of the analog-to-digital sampling system and the reference maximum change rate of the target signal in the analog signal; the reference maximum change rate is the maximum change rate of the signal intensity of the target signal within a limited bandwidth; A noise analysis module, configured to determine the noise intensity in the analog signal according to the difference signal.

8. The analog signal noise intensity estimation device according to claim 7, wherein The signal acquisition module is configured to continuously collect at least two of the sampled signals within the preset time period in the same preset period at each interval of a preset period; wherein, the preset period satisfies the Nyquist criterion, and the preset period is greater than the preset time period.

9. An apparatus for estimating the noise intensity in an analog signal, characterized in that, Comprising: An analog-to-digital sampling system, configured to sample an analog signal to obtain a sampled signal; A memory, configured to store a computer program; A processor, configured to execute the computer program according to the sampled signal to implement the steps of the method for estimating the noise intensity in an analog signal according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and the computer program is executed to implement the steps of the method for estimating the noise intensity in an analog signal according to any one of claims 1 to 6.

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