CN117176265B - Scene channel simulation playback method, system and equipment - Google Patents
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Abstract
The invention provides a scene channel simulation playback method, a scene channel simulation playback system and scene channel simulation playback equipment, and relates to the field of communication. The method comprises the following steps: acquiring a transmitted frequency domain signal; generating a channel impulse response according to the transmitted frequency domain signal; calibrating the channel impulse response according to the original measured complex baseband data, the channel measurement system calibration baseband data and the reference signal complex baseband data to generate a calibrated channel impulse response; generating a model file which can be directly imported into a channel simulator according to the calibrated channel impulse response; and importing the model file into the channel simulator to simulate and replay the channel data of the actual measurement scene. The invention does not need manual processing, and improves the simulation playback efficiency.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method, system, and device for scene channel analog playback.
Background
And after the signal propagates through the wireless Channel, the receiving end receives a signal y (t) and acquires a Channel impulse response according to x (t) and y (t) analysis, thereby extracting the characteristic parameters of the wireless Channel. The data obtained by channel measurement is real, can acquire the wireless channel characteristics of the site most accurately, and is one of the effective methods of current wireless channel research. Based on the channel measurement data, the operations such as channel modeling, channel simulation, performance evaluation of the communication system and the like can be performed.
Channel measurement is a research activity that aims to extract channel parameters as a main target, and is also the first step in knowing channel characteristics. The channel measurement signal is transmitted by a transmitter and propagated to a receiver via a wireless channel under test, the channel impulse response and parameters of the various paths can be extracted by analyzing the received signal, and a number of important channel statistical parameters can be obtained by using the information. The results of the channel measurements may directly reflect the characteristics of the channel under test, but most are suitable for situations where a generic or representative description of a certain class of scene is required, which requires the description of the channel model. Channel measurement provides real measurement data for channel modeling, and is also the most powerful tool for verifying whether a channel model is valid and reasonable.
The characteristics of the wireless channel determine the upper performance limit of the wireless communication system. In the process of deploying the wireless communication system, the channel environment is often required to be simulated and tested, the wireless communication system is configured according to the characteristics of the wireless channel, and the channel capacity is improved so as to obtain better system performance. It can be seen that the conventional channel measurement modeling needs to manually process and model data to generate a file which is suitable for playback in the channel simulator, so that the scene channel can be simulated and played back, and the whole method needs to consume longer simulation time, has poor applicability and low efficiency.
Disclosure of Invention
The invention aims to provide a scene channel simulation playback method, a system and equipment, which are used for solving the problems of poor applicability and low simulation playback efficiency caused by the fact that the data are manually processed and modeled in the scene channel simulation playback process.
In order to achieve the above object, the present invention provides the following.
A scene channel analog playback method, comprising: acquiring a transmitted frequency domain signal; generating a channel impulse response according to the transmitted frequency domain signal; calibrating the channel impulse response according to the original measured complex baseband data, the channel measurement system calibration baseband data and the reference signal complex baseband data to generate a calibrated channel impulse response; generating a model file which can be directly imported into a channel simulator according to the calibrated channel impulse response; and importing the model file into the channel simulator to simulate and replay the channel data of the actual measurement scene.
Optionally, generating a channel impulse response according to the transmitted frequency domain signal specifically includes: converting the demodulated received signal into a received signal expressed in the frequency domain; determining a time-varying frequency domain transfer function of a channel measurement system according to the transmitted frequency domain signal and a received signal expressed on a frequency domain; windowing is carried out on the time-varying frequency domain transfer function, and a frequency domain transfer function after windowing is generated; and generating channel impulse response by performing inverse fast Fourier transform on the frequency domain transfer function after windowing.
Optionally, calibrating the channel impulse response according to the original measured complex baseband data, the channel measurement system calibration baseband data and the reference signal complex baseband data, and generating a calibrated channel impulse response, which specifically includes: generating a frequency domain of a received signal after the response of the calibration system according to the original measurement complex baseband data and the channel measurement system calibration baseband data; and calibrating the channel impulse response according to the reference signal complex baseband data and the frequency domain of the received signal after the calibration system responds to generate the calibrated channel impulse response.
Optionally, generating a model file capable of being directly imported into a channel simulator according to the calibrated channel impulse response specifically includes: removing abnormal channel impulse responses in the calibrated channel impulse responses, and generating removed channel impulse responses; determining a power delay spectrum according to the removed channel impulse response; determining discrete multipath of the power delay spectrum by utilizing the power delay spectrum through multipath searching; determining channel impulse response within a set amplitude range according to the discrete multipath; based on the tap delay line model, a model file which can be directly imported into a channel simulator is generated according to the channel impulse response in the set amplitude range.
Optionally, rejecting abnormal channel impulse responses in the calibrated channel impulse response, and generating a rejected channel impulse response, which specifically includes: performing bottom noise power comparison on each calibrated channel impulse response and the channel impulse response when the bottom noise is stable; when the background noise of the first channel impulse response in the range of the set distance of the strongest power path is 10dB higher than the background noise of the channel impulse response in the stable state, eliminating the first channel impulse response; and after the first channel impulse response is removed, taking the residual channel impulse response as the removed channel impulse response.
Optionally, determining the discrete multipath of the power delay spectrum by using the power delay spectrum through multipath searching specifically includes: utilizing the power delay spectrum to carry out multipath searching, and determining a multipath extraction threshold according to the bottom noise threshold and the multipath number of the channel impulse response after the rejection; and taking the multipath power and the time delay which are larger than the multipath extraction threshold value as discrete multipath power and time delay, and determining the discrete multipath of the power time delay spectrum.
Optionally, determining the channel impulse response in the set amplitude range according to the discrete multipath specifically includes: counting the amplitude distribution of each discrete multipath, and eliminating outliers in all the amplitude distribution; sequencing all the rejected amplitude values in order from big to small, and determining the median value of the amplitude; calculating absolute deviation of all the removed amplitude values and the median value of the amplitude, and obtaining the median value of the absolute deviation; and determining the channel impulse response in the set amplitude range according to the amplitude median and the median of the absolute deviation.
A scene channel analog playback system, comprising: the frequency domain signal transmitting module is used for acquiring a transmitted frequency domain signal; a channel impulse response generation module, configured to generate a channel impulse response according to the transmitted frequency domain signal; the calibration module is used for calibrating the channel impulse response according to the original measured complex baseband data, the channel measurement system calibration baseband data and the reference signal complex baseband data, and generating a calibrated channel impulse response; the model file generation module is used for generating a model file which can be directly imported into the channel simulator according to the calibrated channel impulse response; and the simulation playback module is used for importing the model file into the channel simulator to perform simulation playback on the channel data of the actually measured scene.
An electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the scene channel analog playback method described above.
A computer readable storage medium storing a computer program which when executed by a processor implements the scene channel analog playback method described above.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: the invention provides a scene channel simulation playback method, a system and equipment, which are used for determining channel impulse response, calibrating the channel impulse response according to original measured complex baseband data, channel measurement system calibration baseband data and reference signal complex baseband data, finally generating a model file which can be directly imported into a channel simulator, importing the model file into the channel simulator to simulate and play back channel data of an actual measurement scene, and improving simulation playback efficiency without manual processing.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a scene channel simulation playback method provided by the invention.
Fig. 2 is a block diagram of a channel measurement system according to the present invention.
Fig. 3 is a simplified block diagram of a scene channel analog playback method provided by the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a scene channel simulation playback method, a scene channel simulation playback system and scene channel simulation playback equipment, which can generate a model file directly imported into a channel simulator without manually processing data, and improve simulation playback efficiency.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Embodiment one: as shown in fig. 1, the present invention provides a scene channel analog playback method, which is applied to a channel measurement system as shown in fig. 2, and the channel measurement system adopted by the present invention mainly includes a transceiver industrial personal computer, a channel measurement transmitter and receiver, a power amplifier, a plate antenna, a cable, a feeder, etc. The scene channel analog playback method includes the following.
Step 101: a transmitted frequency domain signal is acquired.
Step 102: and generating a channel impulse response according to the transmitted frequency domain signal.
In practical applications, the step 102 specifically includes: converting the demodulated received signal into a received signal expressed in the frequency domain; determining a time-varying frequency domain transfer function of a channel measurement system according to the transmitted frequency domain signal and a received signal expressed on a frequency domain; windowing is carried out on the time-varying frequency domain transfer function, and a frequency domain transfer function after windowing is generated; and generating channel impulse response by performing inverse fast Fourier transform on the frequency domain transfer function after windowing.
As an alternative embodiment of the present invention, as shown in fig. 3, the whole process further includes a fast fourier transform (Fast Fourier transform, FFT) and a channel transfer function (Channel Transfer Function, CTF), and the transmitted frequency domain signal is set asThe received signal is demodulated and then expressed as in the frequency domainTime-varying frequency domain transfer function of channel measurement system +.>The method comprises the following steps: />（1）。
The invention is applied to a channel measurement systemWindowing is performed to obtain a frequency domain transfer function after windowing>. Windowing can improve the delay resolution of the multipath, so that the obtained multipath is more complete.
Channel impulse responseBy->Obtained by inverse fast fourier transform (Inverse fast Fourier transform, IFFT): />（2）。
Wherein,is a function of the channel impulse response with respect to time t and delay τ, f being the frequency. Equation (2) is a channel impulse response obtained by processing data obtained by channel measurement.
In some cases, the channel may produce different responses to the input signal at different times; this may be due to multipath propagation, multiple transmission paths, or multiple reflections in the channel, resulting in the signal reaching the receiving end at different times. In this case, the channel impulse response can be regarded as a bivariate function.
In a channel measurement system, in order to acquire a calibrated channel impulse response, raw measurement complex baseband data, channel measurement system calibration baseband data, and reference signal complex baseband data are required.
The original measurement complex baseband data comprises all data acquired by a receiving end industrial personal computer, and digital down-conversion processing is carried out in a signal measurement receiver, wherein the original measurement complex baseband data comprises the response of a channel measurement system; the calibration baseband data of the channel measurement system is obtained through direct connection measurement of the channel measurement transmitter and the channel measurement receiver, and is used for eliminating the response of the channel measurement system; the reference signal complex baseband data is generated at the upper computer.
Step 103: and calibrating the channel impulse response according to the original measured complex baseband data, the channel measurement system calibration baseband data and the reference signal complex baseband data to generate the calibrated channel impulse response.
In practical applications, the step 103 specifically includes: generating a frequency domain of a received signal after the response of the calibration system according to the original measurement complex baseband data and the channel measurement system calibration baseband data; and calibrating the channel impulse response according to the reference signal complex baseband data and the frequency domain of the received signal after the calibration system responds to generate the calibrated channel impulse response.
As an optional implementation manner of the present invention, a specific procedure of obtaining the channel impulse response in the present invention is as follows. Let the complex signal received by the channel measurement receiver be r, and combine the two paths of IQ data:（3）。
where I is the real component of the signal, j is the imaginary unit, and Q is the imaginary component of the signal.
The reference signal complex baseband data is the data of the transmitting signal, and is used for obtaining original measurement complex baseband data (namely, receiving data obtained by the transmitting signal direct connection test) through direct connection test, and the original measurement complex baseband data and the channel measurement system calibration baseband data are respectively expressed as r by utilizing the above method o And r f From equation (4), the received signal r after the calibration system response can be obtained ch Frequency domain form of (a)：/>（4）。
The convolution of the time domain corresponds to the product of the frequency domains, as shown in equations (5) and (6), where the reference signal u is the original complex baseband signal corresponding to the original measured complex baseband data transmitted by the channel measurement transmitter, h is the calibrated channel impulse response,for originally measuring complex baseband data r o In the frequency domain form of>Calibrating baseband data r for channel measurement systems f Is a frequency domain version of (c). After the response of the calibration system (4), r ch And h can be expressed as: />（5）。
（6）。
Wherein h comprises Gaussian white noise and gain of the antenna and the leaky cable,is a frequency domain version of the reference signal u.
Step 104: and generating a model file which can be directly imported into a channel simulator according to the calibrated channel impulse response.
In practical applications, the step 104 specifically includes: removing abnormal channel impulse responses in the calibrated channel impulse responses, and generating removed channel impulse responses; determining a power delay spectrum according to the removed channel impulse response; determining discrete multipath of the power delay spectrum by utilizing the power delay spectrum through multipath searching; determining channel impulse response within a set amplitude range according to the discrete multipath; based on the tap delay line model, a model file which can be directly imported into a channel simulator is generated according to the channel impulse response in the set amplitude range.
In practical application, rejecting abnormal channel impulse response in the calibrated channel impulse response, and generating the rejected channel impulse response, which specifically comprises the following steps: performing bottom noise power comparison on each calibrated channel impulse response and the channel impulse response when the bottom noise is stable; when the background noise of the first channel impulse response in the range of the set distance of the strongest power path is 10dB higher than the background noise of the channel impulse response in the stable state, eliminating the first channel impulse response; and after the first channel impulse response is removed, taking the residual channel impulse response as the removed channel impulse response.
In practical application, the discrete multipath of the power delay spectrum is determined by utilizing the power delay spectrum through multipath search, and the method specifically comprises the following steps: utilizing the power delay spectrum to carry out multipath searching, and determining a multipath extraction threshold according to the bottom noise threshold and the multipath number of the channel impulse response after the rejection; and taking the multipath power and the time delay which are larger than the multipath extraction threshold value as discrete multipath power and time delay, and determining the discrete multipath of the power time delay spectrum.
In practical application, determining the channel impulse response within the set amplitude range according to the discrete multipath specifically includes: counting the amplitude distribution of each discrete multipath, and eliminating outliers in all the amplitude distribution; sequencing all the rejected amplitude values in order from big to small, and determining the median value of the amplitude; calculating absolute deviation of all the removed amplitude values and the median value of the amplitude, and obtaining the median value of the absolute deviation; and determining the channel impulse response in the set amplitude range according to the amplitude median and the median of the absolute deviation.
As an optional implementation mode of the invention, in the actual channel measurement process, a small amount of data obtained by channel measurement can deviate from a normal value due to the influence of unpredictable factors such as equipment jitter, personnel walking and the like, which is not beneficial to extracting the actual channel parameters.
Although the abnormal data is very few, the data analysis and channel parameter extraction in the later stage can be greatly influenced, so that the modeling result is inaccurate. Therefore, before data analysis is performed, firstly, outliers of all original data stored by channel measurement are removed. After the outlier rejection is completed, multipath extraction is performed, and different channel parameters are analyzed.
The specific process flow is as follows:
(1) The channel impulse response of the channel, i.e. the original channel impulse response (Channel impulse response, CIR), is extracted according to the above method.
(2) At the beginning of the measurement, since the channel measurement system is not yet operating stably, this part of data needs to be removed, and there is some abnormal CIR during the operation of the channel measurement system. And comparing the base noise power of each CIR with the CIR when the base noise is stable, removing the abnormal CIR when the base noise ratio near the strongest power path is 10dB higher than the base noise, and finally selecting a plurality of CIRs with stable base noise for data processing.
(3) Taking the expected value of the selected CIR in the time domain, and obtaining a smoothed power delay spectrum (Power Delay Profile, PDP); the PDP performs multipath searching, sets a multipath extraction threshold according to the threshold of the background noise and the number of the multipath, and saves the multipath power and the time delay which are larger than the set multipath extraction threshold, wherein the multipath extraction threshold is 25dB higher than the lowest value of the background noise.
(4) After the discrete multipaths of the PDP are obtained, the amplitude distribution of each multipath is counted, and outliers are removed. First for all amplitude values x i Finding the median value x in order of magnitude m The method comprises the steps of carrying out a first treatment on the surface of the Calculating absolute deviation of all values and the median value, and obtaining the median value of the absolute deviation, and marking the median value as m; finally, the amplitude range is reserved in (x m -n×m，x m +n×m), where n is according to x i The retention coefficient obtained from the amplitude distribution range of (a).
(5) The amplitude distribution of all the multipaths is saved, and the channel parameters are extracted.
The channel simulator of the present invention is based on tapsThe delay line model is realized by adopting a transverse filtering method, and the expression of the channel impulse response is as follows:（7）。
the difference from equation (2) is that equation (7) applies to a statistical channel impulse response representation of the programming of the underlying logic of the channel simulation.
Wherein each tap corresponds to a time delay ofIs (are) distinguishable multipath, < >>Is a tap->At->The channel coefficient at time, N is the number of taps, < >>Is to->The delay of the path is represented as a unit impulse function of the delay. When->=When the impulse function is equal to 1; otherwise 0 +.>Is the delay of the ith path. Assuming that the number of taps is z, only the time delay and the channel coefficient of the first z multipaths of the extracted multipaths are taken as model files, so that the model files which can be directly imported into the channel simulator are formed, and the channel data of the actually measured scene can be simulated and played back by importing the channel simulator.
Step 105: and importing the model file into the channel simulator to simulate and replay the channel data of the actual measurement scene.
And (3) arranging a transmitting end and a receiving end of the channel measurement system in a certain scene (such as a city, a rural area, a mountain area, a forest area and the like), acquiring channel data of the scene by using the channel measurement system, automatically analyzing and processing the acquired channel data by the channel measurement system to obtain a model file containing z groups of time delays and channel coefficients required by a channel simulator, and importing the formed self-adaptive model file into the channel simulator to realize simulation playback of the channels of the scene.
Aiming at the limitations of the existing wireless channel measurement modeling and analog playback, the invention designs a channel measurement system based on a software radio equipment platform, automatically generates a model file which can be imported into a channel simulator based on the scene channel analog playback method provided by the invention, thereby greatly improving the modeling speed and accelerating the process of verifying the wireless channel performance.
Aiming at the customization scenes such as high-speed rail, industrial internet, military, government and public security, and the like of the private network communication system, the requirements on confidentiality, reliability and safety of communication are higher, so that the accuracy requirements on channel measurement and modeling are higher.
Embodiment two: in order to perform a corresponding method of the above embodiment to achieve the corresponding functions and technical effects, a scene channel analog playback system is provided below.
A scene channel analog playback system, comprising: and the frequency domain signal transmitting module is used for acquiring the transmitted frequency domain signal.
And the channel impulse response generation module is used for generating a channel impulse response according to the transmitted frequency domain signal.
And the calibration module is used for calibrating the channel impulse response according to the original measured complex baseband data, the channel measurement system calibration baseband data and the reference signal complex baseband data, and generating the calibrated channel impulse response.
And the model file generation module is used for generating a model file which can be directly imported into the channel simulator according to the calibrated channel impulse response.
And the simulation playback module is used for importing the model file into the channel simulator to perform simulation playback on the channel data of the actually measured scene.
The invention can carry out quick and accurate measurement and modeling aiming at customized scenes such as private network and the like, and carries out analog playback in a channel simulator, and is used for predicting aspects such as channel quality, network capacity planning, antenna design, transmission technology selection and the like, thereby optimizing the performance and reliability of a private network communication system.
Aiming at the traditional channel measurement modeling, the data are manually processed and modeled to generate a file which is suitable for playback in the channel simulator, the channel measurement system can generate a model file which is directly imported into the channel simulator after the data are acquired, and the channel simulator can directly simulate and play back the channel data of the actual measurement scene.
Embodiment III: an embodiment of the present invention provides an electronic device including a memory and a processor, where the memory is configured to store a computer program, and the processor is configured to execute the computer program to cause the electronic device to perform the scene channel analog playback method provided in the first embodiment.
In practical applications, the electronic device may be a server.
In practical applications, the electronic device includes: at least one processor (processor), memory (memory), bus, and communication interface (Communications Interface).
Wherein: the processor, communication interface, and memory communicate with each other via a communication bus.
And the communication interface is used for communicating with other devices.
And a processor, configured to execute a program, and specifically may execute the method described in the foregoing embodiment.
In particular, the program may include program code including computer-operating instructions.
The processor may be a central processing unit, CPU, or specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included in the electronic device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
And the memory is used for storing programs. The memory may comprise high-speed RAM memory or may further comprise non-volatile memory, such as at least one disk memory.
Based on the description of the embodiments above, embodiments of the present application provide a storage medium having stored thereon computer program instructions executable by a processor to implement the method of any of the embodiments.
The scene channel analog playback system provided in the embodiments of the present application exists in a variety of forms, including but not limited to: (1) a mobile communication device: such devices are characterized by mobile communication capabilities and are primarily aimed at providing voice, data communications. Such terminals include: smart phones (e.g., iPhone), multimedia phones, functional phones, and low-end phones, etc.
(2) Ultra mobile personal computer device: such devices are in the category of personal computers, having computing and processing functions, and generally having mobile internet access capabilities. Such terminals include: PDA, MID, and UMPC devices, etc., such as iPad.
(3) Portable entertainment device: such devices may display and play multimedia content. The device comprises: audio, video players (e.g., iPod), palm game consoles, electronic books, and smart toys and portable car navigation devices.
(4) Other electronic devices with data interaction functions.
Thus, particular embodiments of the present subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may be advantageous.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present application. It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by the computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular transactions or implement particular abstract data types. The application may also be practiced in distributed computing environments where transactions are performed by remote processing devices that are connected through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (6)
1. A method for analog playback of a scene channel, comprising:
acquiring a transmitted frequency domain signal;
generating a channel impulse response according to the transmitted frequency domain signal;
calibrating the channel impulse response according to the original measured complex baseband data, the channel measurement system calibration baseband data and the reference signal complex baseband data to generate a calibrated channel impulse response;
generating a model file capable of being directly imported into a channel simulator according to the calibrated channel impulse response, wherein the model file comprises the following specific steps: removing abnormal channel impulse responses in the calibrated channel impulse responses, and generating removed channel impulse responses; determining a power delay spectrum according to the removed channel impulse response; determining discrete multipath of the power delay spectrum by utilizing the power delay spectrum through multipath searching; determining channel impulse response within a set amplitude range according to the discrete multipath; generating a model file which can be directly imported into a channel simulator according to channel impulse response within a set amplitude range based on a tap delay line model;
the step of eliminating abnormal channel impulse responses in the calibrated channel impulse responses, and generating the eliminated channel impulse responses specifically comprises the following steps: performing bottom noise power comparison on each calibrated channel impulse response and the channel impulse response when the bottom noise is stable; when the background noise of the first channel impulse response in the range of the set distance of the strongest power path is 10dB higher than the background noise of the channel impulse response in the stable state, eliminating the first channel impulse response; after the first channel impulse response is removed, the residual channel impulse response is used as the removed channel impulse response;
the determining discrete multipath of the power delay spectrum by utilizing the multipath search of the power delay spectrum specifically comprises the following steps: utilizing the power delay spectrum to carry out multipath searching, and determining a multipath extraction threshold according to the bottom noise threshold and the multipath number of the channel impulse response after the rejection; taking the multipath power and the time delay which are larger than the multipath extraction threshold value and correspond to the multipath extraction threshold value as discrete multipath power and time delay, and determining discrete multipath of the power time delay spectrum;
the determining the channel impulse response within the set amplitude range according to the discrete multipath specifically comprises: counting the amplitude distribution of each discrete multipath, and eliminating outliers in all the amplitude distribution; sequencing all the rejected amplitude values in order from big to small, and determining the median value of the amplitude; calculating absolute deviation of all the removed amplitude values and the median value of the amplitude, and obtaining the median value of the absolute deviation; determining channel impulse response in a set amplitude range according to the amplitude median and the median of the absolute deviation;
and importing the model file into the channel simulator to simulate and replay the channel data of the actual measurement scene.
2. The scene channel analog playback method according to claim 1, characterized in that generating a channel impulse response from said transmitted frequency domain signal, in particular comprises:
converting the demodulated received signal into a received signal expressed in the frequency domain;
determining a time-varying frequency domain transfer function of a channel measurement system according to the transmitted frequency domain signal and a received signal expressed on a frequency domain;
windowing is carried out on the time-varying frequency domain transfer function, and a frequency domain transfer function after windowing is generated;
and generating channel impulse response by performing inverse fast Fourier transform on the frequency domain transfer function after windowing.
3. The scene channel analog playback method according to claim 1, wherein the channel impulse response is calibrated according to original measured complex baseband data, channel measurement system calibration baseband data and reference signal complex baseband data, and the calibrated channel impulse response is generated, specifically comprising:
generating a frequency domain of a received signal after the response of the calibration system according to the original measurement complex baseband data and the channel measurement system calibration baseband data;
and calibrating the channel impulse response according to the reference signal complex baseband data and the frequency domain of the received signal after the calibration system responds to generate the calibrated channel impulse response.
4. A scene channel analog playback system, comprising:
the frequency domain signal transmitting module is used for acquiring a transmitted frequency domain signal;
a channel impulse response generation module, configured to generate a channel impulse response according to the transmitted frequency domain signal;
the calibration module is used for calibrating the channel impulse response according to the original measured complex baseband data, the channel measurement system calibration baseband data and the reference signal complex baseband data, and generating a calibrated channel impulse response;
the model file generation module is used for generating a model file which can be directly imported into the channel simulator according to the calibrated channel impulse response;
the model file generation module specifically comprises: removing abnormal channel impulse responses in the calibrated channel impulse responses, and generating removed channel impulse responses; determining a power delay spectrum according to the removed channel impulse response; determining discrete multipath of the power delay spectrum by utilizing the power delay spectrum through multipath searching; determining channel impulse response within a set amplitude range according to the discrete multipath; generating a model file which can be directly imported into a channel simulator according to channel impulse response within a set amplitude range based on a tap delay line model;
the step of eliminating abnormal channel impulse responses in the calibrated channel impulse responses, and generating the eliminated channel impulse responses specifically comprises the following steps: performing bottom noise power comparison on each calibrated channel impulse response and the channel impulse response when the bottom noise is stable; when the background noise of the first channel impulse response in the range of the set distance of the strongest power path is 10dB higher than the background noise of the channel impulse response in the stable state, eliminating the first channel impulse response; after the first channel impulse response is removed, the residual channel impulse response is used as the removed channel impulse response;
the determining discrete multipath of the power delay spectrum by utilizing the multipath search of the power delay spectrum specifically comprises the following steps: utilizing the power delay spectrum to carry out multipath searching, and determining a multipath extraction threshold according to the bottom noise threshold and the multipath number of the channel impulse response after the rejection; taking the multipath power and the time delay which are larger than the multipath extraction threshold value and correspond to the multipath extraction threshold value as discrete multipath power and time delay, and determining discrete multipath of the power time delay spectrum;
the determining the channel impulse response within the set amplitude range according to the discrete multipath specifically comprises: counting the amplitude distribution of each discrete multipath, and eliminating outliers in all the amplitude distribution; sequencing all the rejected amplitude values in order from big to small, and determining the median value of the amplitude; calculating absolute deviation of all the removed amplitude values and the median value of the amplitude, and obtaining the median value of the absolute deviation; determining channel impulse response in a set amplitude range according to the amplitude median and the median of the absolute deviation;
and the simulation playback module is used for importing the model file into the channel simulator to perform simulation playback on the channel data of the actually measured scene.
5. An electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the scene channel analog playback method of any of claims 1-3.
6. A computer readable storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the scene channel analog playback method of any one of claims 1-3.
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