Ultra-wideband signal compensation method and device, equipment and storage medium

Abstract

The invention relates to the technical field of communication, and discloses an ultra-wideband signal compensation method and device, equipment and a storage medium. The method comprises the following steps: acquiring an ultra-wideband signal to be compensated, and acquiring an amplitude-frequency response expression of an analog filter according to the ultra-wideband signal; obtaining a denominator coefficient of the analog filter according to the ultra-wideband signal through a fitting method, and obtaining a denominator coefficient and a numerator constant of the transfer function according to the amplitude-frequency response expression and the denominator coefficient of the analog filter; and according to the denominator coefficient and the numerator constant of the transfer function, generating a target infinite impulse response filter, and realizing flatness compensation of the ultra-wideband signal based on the target infinite impulse response filter. According to the scheme of the embodiment, the filter parameters are obtained based on the fitting method, and the target infinite impulse response filter is generated based on the filter parameters, so that flatness compensation is realized, effective flatness compensation can be carried out on the ultra-wideband signal, and the compensation cost can be reduced at the same time.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a method, apparatus, device, and storage medium for compensating ultra-wideband signals. Background Technology

[0002] With the continuous development of communication technology and the increasing bandwidth, how to perform flatness compensation for ultra-wideband signals has become an urgent problem to be solved.

[0003] Currently, existing passband flatness compensation methods are mainly divided into hardware and software approaches. Hardware methods primarily involve adding an amplitude equalizer (AUE) stage to the transmit and receive links to improve flatness. However, while amplifying and compensating for the useful signal, the AUE also amplifies clutter and noise. Furthermore, traditional AUEs cannot avoid interference from non-actively amplified signals during transmission, increasing instability at each stage of the link and reducing the accuracy of useful signal gain compensation. In addition, this method has a relatively fixed compensation mechanism and is very inflexible. Distortion curves differ across frequency bands, requiring the selection of a suitable AUE for each curve, making this method costly. Moreover, the fixed AUE compensation curve only provides coarse compensation for ultra-wideband signals and cannot achieve a satisfactory level of flatness.

[0004] Secondly, in terms of software, finite impulse response (FIR) digital filters are usually used to compensate for flatness. However, even if a low level of flatness is achieved, the required filter order is still very high, which will result in a large hardware cost. As the compensation accuracy requirements become more stringent, the order will inevitably increase, which will increase the complexity and make the computational load or hardware overhead basically unbearable. Summary of the Invention

[0005] This invention provides a method, apparatus, device, and storage medium for compensating ultra-wideband signals, which can effectively compensate for the flatness of ultra-wideband signals and reduce compensation costs.

[0006] According to one aspect of the present invention, a compensation method for ultra-wideband signals is provided, comprising:

[0007] Obtain the ultra-wideband signal to be compensated, and based on the ultra-wideband signal, obtain the amplitude-frequency response expression of the analog filter;

[0008] The denominator coefficients of the analog filter are obtained from the ultra-wideband signal using a fitting method, and the denominator coefficients and numerator constants of the transfer function are obtained from the amplitude-frequency response expression and denominator coefficients of the analog filter.

[0009] Based on the denominator coefficients and numerator constants of the transfer function, a target infinite impulse response filter is generated, and flatness compensation for the ultra-wideband signal is achieved based on the target infinite impulse response filter.

[0010] According to another aspect of the present invention, a compensation device for ultra-wideband signals is provided, comprising:

[0011] An ultra-wideband signal acquisition module is used to acquire the ultra-wideband signal to be compensated, and to obtain the amplitude-frequency response expression of the analog filter based on the ultra-wideband signal.

[0012] The coefficient acquisition module is used to obtain the denominator coefficients of the analog filter based on the ultra-wideband signal using a fitting method, and to obtain the denominator coefficients and numerator constants of the transfer function based on the amplitude-frequency response expression and denominator coefficients of the analog filter.

[0013] The filter generation module is used to generate a target infinite impulse response filter based on the denominator coefficients and numerator constants of the transfer function, and to achieve flatness compensation for the ultra-wideband signal based on the target infinite impulse response filter.

[0014] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the ultra-wideband signal compensation method according to any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program configured to cause a processor to execute and implement the ultra-wideband signal compensation method according to any embodiment of the present invention.

[0019] The technical solution of this invention involves acquiring the ultra-wideband signal to be compensated and obtaining the amplitude-frequency response expression of an analog filter based on the ultra-wideband signal. A fitting method is used to obtain the denominator coefficients of the analog filter based on the ultra-wideband signal. Then, based on the amplitude-frequency response expression and denominator coefficients of the analog filter, the denominator coefficients and numerator constant of the transfer function are obtained. A target infinite impulse response filter is generated based on the denominator coefficients and numerator constant of the transfer function, and flatness compensation for the ultra-wideband signal is achieved based on the target infinite impulse response filter. By obtaining filter parameters based on the fitting method and generating the target infinite impulse response filter based on these parameters, flatness compensation can be effectively achieved for ultra-wideband signals while reducing compensation costs.

[0020] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of a compensation method for ultra-wideband signals according to Embodiment 1 of the present invention;

[0023] Figure 2 This is a schematic diagram of the signal curves of the ultra-wideband signal to be compensated and the amplitude-frequency response provided in Embodiment 1 of the present invention;

[0024] Figure 3 This is a schematic diagram of the signal curve of the ultra-wideband signal to be compensated according to Embodiment 1 of the present invention;

[0025] Figure 4 This is a schematic diagram of the signal curve of the compensated ultra-wideband signal according to Embodiment 1 of the present invention;

[0026] Figure 5 This is a schematic diagram of the structure of an ultra-wideband signal compensation device according to Embodiment 2 of the present invention;

[0027] Figure 6 This is a schematic diagram of the structure of an electronic device that implements the ultra-wideband signal compensation method of the present invention. Detailed Implementation

[0028] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first," "second," "target," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0030] Example 1

[0031] Figure 1 This is a flowchart illustrating a compensation method for ultra-wideband signals according to Embodiment 1 of the present invention. This embodiment is applicable to cases involving amplitude compensation of ultra-wideband signals. The method can be executed by an ultra-wideband signal compensation device, which can be implemented in hardware and / or software. Typically, the ultra-wideband signal compensation device can be configured in an electronic device, such as a computer or server. Figure 1 As shown, the method includes:

[0032] S110. Obtain the ultra-wideband signal to be compensated, and obtain the amplitude-frequency response expression of the analog filter based on the ultra-wideband signal.

[0033] The ultra-wideband signal can be a communication signal used in fifth-generation or even higher-generation mobile communication technologies, for example, it can correspond to a bandwidth of hundreds of megabits. In this embodiment, the distorted signal after transmission through the communication system can be acquired in a communication system that is insensitive to linear phase, and used as the ultra-wideband signal to be compensated. Then, the amplitude-frequency response of the ideal filter can be obtained by inverting the signal curve of the ultra-wideband signal. Based on the amplitude-frequency response of the ideal filter and a set filter order, the amplitude-frequency response expression of the analog filter can be obtained. For example, the set filter order can be substituted into the expression of the amplitude-frequency response of the ideal filter to obtain the amplitude-frequency response expression of the analog filter. The amplitude-frequency response of the analog filter can be the optimal amplitude-frequency response that the analog filter is expected to achieve.

[0034] Optionally, obtaining the amplitude-frequency response expression of the analog filter based on the ultra-wideband signal may include:

[0035] Based on the set filter order, obtain the signal expression corresponding to the ultra-wideband signal;

[0036] Based on the ultra-wideband signal, the passband mean is calculated, and the ratio of the passband mean to the signal expression is calculated to obtain the amplitude-frequency response expression.

[0037] In a specific example, setting the filter order to k+1, the signal expression for the ultra-wideband signal can be: a n The coefficients represent different orders. Infinite Impulse Response (IIR) filters can be configured with multiple orders, each corresponding to a coefficient.

[0038] In this embodiment, the average value of all amplitudes in the ultra-wideband signal can be calculated as the passband average. The amplitude-frequency response of the ideal infinite impulse response filter to be sought is... Based on this, the amplitude-frequency response of the analog filter can be obtained. That is, the amplitude-frequency response expression. For example, the ultra-wideband signal to be compensated and the signal curve of its amplitude-frequency response can be expressed as follows: Figure 2 As shown.

[0039] S120. Obtain the denominator coefficients of the analog filter based on the ultra-wideband signal using a fitting method, and obtain the denominator coefficients and numerator constants of the transfer function based on the amplitude-frequency response expression and denominator coefficients of the analog filter.

[0040] The fitting method may include nonlinear regression, least squares, and / or Gauss-Newton's method. In this embodiment, a fitting method can be used to perform nonlinear fitting on the ultra-wideband signal to obtain a fitting function, and the coefficients of each order can be determined based on this fitting function as the denominator coefficients of the analog filter. Specifically, the highest power (order-1) of the fitting function can be determined based on the set filter order. For example, if the filter order is set to 3, the fitting function is y = A × x. 2 If the sum of the given values ​​is B×x+C, then a2=A, a1=B, a0=C. Secondly, the passband mean value in the amplitude-frequency response expression can be used as the numerator constant of the analog filter.

[0041] Optionally, obtaining the denominator coefficients of the analog filter based on the ultra-wideband signal using a fitting method may include:

[0042] The ultra-wideband signal is sampled to obtain multiple signal samples, and a fitting method is used to fit the multiple signal samples to obtain the coefficients of each order of the signal expression;

[0043] Based on the coefficients of each order, the denominator coefficients of the analog filter are obtained.

[0044] Specifically, it can be used for ultra-wideband signals H p (Ω) is sampled at equal frequency intervals to obtain signal samples H. p (Ω l ), where sampling frequency points Then, nonlinear regression, least squares, Gauss-Newton's method, etc., can be used to analyze the signal sample H. p (Ω l Nonlinear fitting is performed to obtain the coefficients a of each order. n Finally, the coefficients a of each item can be... n They are used directly as the denominator coefficients of the analog filter.

[0045] In this embodiment, after obtaining the denominator coefficients of the analog filter, the denominator coefficients can be substituted into the amplitude-frequency response expression to obtain the amplitude-frequency response H. a (jΩ); then, based on the formula H(s)=H(jΩ)| jΩ＝s The denominator coefficients a of the transfer function H(s) of the IIR filter are obtained. s and molecular constant.

[0046] S130. Based on the denominator coefficients and numerator constants of the transfer function, a target infinite impulse response filter is generated, and flatness compensation for the ultra-wideband signal is achieved based on the target infinite impulse response filter.

[0047] In this embodiment, the transfer function can be transformed from the S-domain to the Z-domain to obtain the denominator coefficient α of the digital filter. z Based on the numerator and denominator constants, a target IIR filter with the corresponding structure can be designed. The amplitude of the ultra-wideband signal can be compensated based on the target IIR filter to ensure that the ultra-wideband signal maintains a very small fluctuation in the passband.

[0048] The advantage of the above setup is that, compared to FIR filters, IIR filters are less expensive to achieve the same flatness performance; moreover, for delay-sensitive systems, IIR filters have significantly lower delays than FIR filters. Flatness can be the difference between the maximum and minimum amplitude values.

[0049] The technical solution of this invention involves acquiring the ultra-wideband signal to be compensated and obtaining the amplitude-frequency response expression of an analog filter based on the ultra-wideband signal. A fitting method is used to obtain the denominator coefficients of the analog filter based on the ultra-wideband signal. Then, based on the amplitude-frequency response expression and denominator coefficients of the analog filter, the denominator coefficients and numerator constant of the transfer function are obtained. A target infinite impulse response filter is generated based on the denominator coefficients and numerator constant of the transfer function, and flatness compensation for the ultra-wideband signal is achieved based on the target infinite impulse response filter. By obtaining filter parameters based on the fitting method and generating the target infinite impulse response filter based on these parameters, flatness compensation can be effectively achieved for ultra-wideband signals while reducing compensation costs.

[0050] In an optional implementation of this embodiment, generating the target infinite impulse response filter based on the denominator coefficients and numerator constants of the transfer function may include:

[0051] The denominator coefficients and numerator constants of the digital filter are obtained by using the bilinear transform method based on the denominator coefficients and numerator constants of the transfer function.

[0052] Based on the denominator coefficients and numerator constants of the digital filter, a target infinite impulse response filter is generated.

[0053] In this embodiment, the transfer function can be transformed from the S-domain to the Z-domain using a bilinear transformation method, and the denominator coefficients and numerator constants of the digital filter can be obtained based on the transformation result. Optionally, the impulse response invariance method can also be used for the S-domain to Z-domain transformation. Then, the denominator coefficients and numerator constants of the digital filter can be used as the denominator coefficients and numerator constants of the IIR filter to be designed, thereby designing the target IIR filter.

[0054] Optionally, generating the target infinite impulse response filter based on the denominator coefficients and numerator constants of the digital filter may include:

[0055] Based on the denominator coefficients and numerator constants of the digital filter, the filter structure is determined, and based on the filter structure, the target infinite impulse response filter is generated.

[0056] The filter structure can include the number and arrangement of components such as resistors, inductors, and capacitors. Specifically, existing simulation software can be used to generate the filter structure based on the denominator coefficients and numerator constants of the digital filter, and the target IIR filter can be automatically generated based on this filter structure.

[0057] Optionally, generating the target infinite impulse response filter based on the filter structure may include:

[0058] Based on the filter structure, the preset initial infinite impulse response filter is structurally adjusted to obtain the target infinite impulse response filter.

[0059] In this embodiment, a certain number of initial IIR filters can be pre-set based on initial structural parameters. After determining the current filter structure, if a matching initial IIR filter is found, it can be directly used as the target IIR filter to improve compensation efficiency. If no matching initial IIR filter is found, structural adjustments can be made based on an initial IIR filter to obtain the target IIR filter.

[0060] The simulation results of the technical solution in this embodiment can be as follows: Figure 3 and 4 As shown in the attached figure, the vertical axis represents dB. Wherein, Figure 3 To smooth the distorted signal curve obtained after the signal passes through the communication transmission system, i.e. the signal curve of the ultra-wideband signal (corresponding to a bandwidth of 400 MHz) to be compensated, its flatness is 4.9 dB. Figure 4 The signal curve of the ultra-wideband signal after amplitude compensation according to the technical solution of this embodiment is significantly optimized by setting the filter order to 6 and adjusting the flatness to 0.9dB.

[0061] In this embodiment, an IIR filter is designed using a fitting method to compensate for the flatness of the ultra-wideband signal. This can maintain a very small fluctuation in the signal amplitude within the passband, thereby improving signal quality and facilitating reliable and stable transmission of the ultra-wideband signal.

[0062] Example 2

[0063] Figure 5This is a schematic diagram of a compensation device for ultra-wideband signals provided in Embodiment 2 of the present invention. Figure 5 As shown, the device includes: an ultra-wideband signal acquisition module 210, a coefficient acquisition module 220, and a filter generation module 230; wherein,

[0064] The ultra-wideband signal acquisition module 210 is used to acquire the ultra-wideband signal to be compensated, and to acquire the amplitude-frequency response expression of the analog filter based on the ultra-wideband signal.

[0065] The coefficient acquisition module 220 is used to obtain the denominator coefficients of the analog filter based on the ultra-wideband signal by fitting method, and to obtain the denominator coefficients and numerator constants of the transfer function based on the amplitude-frequency response expression and denominator coefficients of the analog filter.

[0066] The filter generation module 230 is used to generate a target infinite impulse response filter based on the denominator coefficients and numerator constants of the transfer function, and to achieve flatness compensation for the ultra-wideband signal based on the target infinite impulse response filter.

[0067] The technical solution of this invention involves acquiring the ultra-wideband signal to be compensated and obtaining the amplitude-frequency response expression of an analog filter based on the ultra-wideband signal. A fitting method is used to obtain the denominator coefficients of the analog filter based on the ultra-wideband signal. Then, based on the amplitude-frequency response expression and denominator coefficients of the analog filter, the denominator coefficients and numerator constant of the transfer function are obtained. A target infinite impulse response filter is generated based on the denominator coefficients and numerator constant of the transfer function, and flatness compensation for the ultra-wideband signal is achieved based on the target infinite impulse response filter. By obtaining filter parameters based on the fitting method and generating the target infinite impulse response filter based on these parameters, flatness compensation can be effectively achieved for ultra-wideband signals while reducing compensation costs.

[0068] Optionally, the ultra-wideband signal acquisition module 210 is specifically used to acquire the signal expression corresponding to the ultra-wideband signal based on a set filter order;

[0069] Based on the ultra-wideband signal, the passband mean is calculated, and the ratio of the passband mean to the signal expression is calculated to obtain the amplitude-frequency response expression.

[0070] Optionally, the coefficient acquisition module 220 is specifically used to sample the ultra-wideband signal, acquire multiple signal samples, and use a fitting method to fit the multiple signal samples to obtain the coefficients of each order of the signal expression.

[0071] Based on the coefficients of each order, the denominator coefficients of the analog filter are obtained.

[0072] Optionally, the filter generation module 230 is specifically used to obtain the denominator coefficients and numerator constants of the digital filter based on the denominator coefficients and numerator constants of the transfer function using a bilinear transformation method.

[0073] Based on the denominator coefficients and numerator constants of the digital filter, a target infinite impulse response filter is generated.

[0074] Optionally, the filter generation module 230 is specifically used to determine the filter structure based on the denominator coefficients and numerator constants of the digital filter, and to generate the target infinite impulse response filter based on the filter structure.

[0075] Optionally, the filter generation module 230 is specifically used to adjust the structure of a preset initial infinite impulse response filter according to the filter structure to obtain the target infinite impulse response filter.

[0076] Optional fitting methods include nonlinear regression, least squares, and / or Gauss-Newton method.

[0077] The ultra-wideband signal compensation device provided in the embodiments of the present invention can execute the ultra-wideband signal compensation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of executing the method.

[0078] Example 3

[0079] Figure 6 A schematic diagram of an electronic device 30 that can be used to implement embodiments of the present invention is shown. The electronic device 30 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device 30 may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0080] like Figure 6As shown, the electronic device 30 includes at least one processor 31 and a memory, such as a read-only memory (ROM) 32 or a random access memory (RAM) 33, communicatively connected to the at least one processor 31. The memory stores computer programs executable by the at least one processor. The processor 31 can perform various appropriate actions and processes based on the computer program stored in the ROM 32 or loaded from storage unit 38 into the RAM 33. The RAM 33 can also store various programs and data required for the operation of the electronic device 30. The processor 31, ROM 32, and RAM 33 are interconnected via a bus 34. An input / output (I / O) interface 35 is also connected to the bus 34.

[0081] Multiple components in electronic device 30 are connected to I / O interface 35, including: input unit 36, such as keyboard, mouse, etc.; output unit 37, such as various types of monitors, speakers, etc.; storage unit 38, such as disk, optical disk, etc.; and communication unit 39, such as network card, modem, wireless transceiver, etc. Communication unit 39 allows electronic device 30 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0082] Processor 31 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 31 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 31 performs the various methods and processes described above, such as compensation methods for ultra-wideband signals.

[0083] In some embodiments, the ultra-wideband signal compensation method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 38. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 30 via ROM 32 and / or communication unit 39. When the computer program is loaded into RAM 33 and executed by processor 31, one or more steps of the ultra-wideband signal compensation method described above may be performed. Alternatively, in other embodiments, processor 31 may be configured to perform the ultra-wideband signal compensation method by any other suitable means (e.g., by means of firmware).

[0084] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0085] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0086] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0087] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device 30, which includes: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device 30. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0088] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0089] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0090] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0091] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A compensation method for ultra-wideband signals, characterized in that, include: Obtain the ultra-wideband signal to be compensated, and based on the ultra-wideband signal, obtain the amplitude-frequency response expression of the analog filter; The denominator coefficients of the analog filter are obtained from the ultra-wideband signal using a fitting method, and the denominator coefficients and numerator constants of the transfer function are obtained from the amplitude-frequency response expression and denominator coefficients of the analog filter. Based on the denominator coefficients and numerator constants of the transfer function, a target infinite impulse response filter is generated, and flatness compensation for the ultra-wideband signal is achieved based on the target infinite impulse response filter.

2. The method according to claim 1, characterized in that, Based on the ultra-wideband signal, obtain the amplitude-frequency response expression of the analog filter, including: Based on the set filter order, obtain the signal expression corresponding to the ultra-wideband signal; Based on the ultra-wideband signal, the passband mean is calculated, and the ratio of the passband mean to the signal expression is calculated to obtain the amplitude-frequency response expression.

3. The method according to claim 2, characterized in that, The denominator coefficients of the analog filter are obtained from the ultra-wideband signal using a fitting method, including: The ultra-wideband signal is sampled to obtain multiple signal samples, and a fitting method is used to fit the multiple signal samples to obtain the coefficients of each order of the signal expression; Based on the coefficients of each order, the denominator coefficients of the analog filter are obtained.

4. The method according to claim 1, characterized in that, Based on the denominator coefficients and numerator constants of the transfer function, a target infinite impulse response filter is generated, including: The denominator coefficients and numerator constants of the digital filter are obtained by using the bilinear transform method based on the denominator coefficients and numerator constants of the transfer function. Based on the denominator coefficients and numerator constants of the digital filter, a target infinite impulse response filter is generated.

5. The method according to claim 4, characterized in that, Based on the denominator coefficients and numerator constants of the digital filter, a target infinite impulse response filter is generated, including: Based on the denominator coefficients and numerator constants of the digital filter, the filter structure is determined, and based on the filter structure, the target infinite impulse response filter is generated.

6. The method according to claim 5, characterized in that, Based on the filter structure, the target infinite impulse response filter is generated, including: Based on the filter structure, the preset initial infinite impulse response filter is structurally adjusted to obtain the target infinite impulse response filter.

7. The method according to any one of claims 1-6, characterized in that, Fitting methods include nonlinear regression, least squares, and / or Gauss-Newton method.

8. A compensation device for ultra-wideband signals, characterized in that, include: An ultra-wideband signal acquisition module is used to acquire the ultra-wideband signal to be compensated, and to obtain the amplitude-frequency response expression of the analog filter based on the ultra-wideband signal. The coefficient acquisition module is used to obtain the denominator coefficients of the analog filter based on the ultra-wideband signal using a fitting method, and to obtain the denominator coefficients and numerator constants of the transfer function based on the amplitude-frequency response expression and denominator coefficients of the analog filter. The filter generation module is used to generate a target infinite impulse response filter based on the denominator coefficients and numerator constants of the transfer function, and to achieve flatness compensation for the ultra-wideband signal based on the target infinite impulse response filter.

9. An electronic device, characterized in that, The electronic device includes: At least one processor, and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, which enables the at least one processor to perform the compensation method for ultra-wideband signals according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the compensation method for the ultra-wideband signal according to any one of claims 1-7.

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