RF signal simulation device

Abstract

The present invention provides a radio frequency signal simulation device, belonging to the field of communication technology, wherein a user control unit performs signal simulation control and configuration parameters; a channel coefficient generation unit generates a channel impulse response matrix according to the configuration parameters and splits it into channel impulse response coefficients of each sub-channel, so that a signal processing unit performs fading simulation processing on an input signal and outputs a target radio frequency signal. The present invention controls a software radio platform by configuring simulation parameters on a user control platform, completes the generation and data encapsulation of channel coefficients in a cloud platform, performs fading processing on the input signal through the software radio platform, and a system architecture of cloud computing plus multi-channel wireless channel simulation replaces large-scale analog beamforming devices with digital operations, realizes the organic combination of virtual beams, electromagnetic interference, and wireless channels, can accurately simulate the interference aliasing and dynamic propagation characteristics of phased array radar signals in an open environment space, and solves the problem of phased array multi-antenna channel simulation.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a radio frequency signal simulation device. Background Art

[0002] Through complex electromagnetic environment simulation, it is possible to accurately and efficiently realize real-time simulation of multi-link and multi-antenna systems in civil fields such as wireless communication, Internet of Things, intelligent transportation, and smart grid. With distinct characteristics and advantages, it supports and complements the channel simulators in the development of communication, network testing and other industries, and develops in an integrated manner. Important civil application scenarios such as signal transmission optimization and interference management, network optimization, and interactive electromagnetic environment simulation will effectively solve the existing problems of low test integration, single function, high cost, limited scene and poor authenticity, and effectively promote the comprehensive test and evaluation capabilities of complex electromagnetic environments.

[0003] At present, the channel simulators of mainstream communication instrument manufacturers are used for civil electromagnetic scene simulation, and the following shortcomings need to be overcome: there is a lack of measured data on wireless channels, actual measurements are difficult, and available models are scarce; existing channel models are difficult to meet the accuracy requirements of complex electromagnetic environment simulations; dynamic simulation capabilities are limited, the RF bandwidth is small, and the number of switching channels is small.

[0004] In view of this, a new radio frequency signal simulation device and simulation method are provided to meet the needs of existing signal simulation. Summary of the invention

[0005] The present invention provides a radio frequency signal simulation device, which is used to solve the defects of lack of measured data of wireless channels in existing electromagnetic scene simulation and low accuracy in simulating complex electromagnetic environments.

[0006] The invention provides a radio frequency signal simulation device, which mainly comprises a fully connected channel simulation module.

[0007] The fully connected channel simulation module includes a user control unit arranged on a user control platform, a channel coefficient generation unit arranged on a channel coefficient generation platform, and a signal processing unit arranged on a software radio platform.

[0008] Wherein, the user control unit performs signal simulation control and configuration parameters, and the configuration parameters include configuration of model parameters and hardware configuration parameters.

[0009] The channel coefficient generating unit generates a channel impulse response matrix according to the configuration parameters input by the user control unit, and splits the channel impulse response matrix into channel impulse response coefficients of each sub-channel.

[0010] The signal processing unit performs fading simulation processing on the input signal according to the channel impulse response coefficient and outputs a target radio frequency signal.

[0011] According to a radio frequency signal simulation device provided by the present invention, the signal processing unit includes a radio frequency baseband conversion module, a fading simulator, and a baseband radio frequency conversion module; the radio frequency baseband conversion module includes a down converter and an analog-to-digital converter, and the baseband radio frequency conversion module includes a digital-to-analog converter and an up converter;

[0012] The down converter mixes the input signal with a local oscillator input signal and outputs an analog baseband signal;

[0013] The analog-to-digital converter receives the analog baseband signal and outputs a digital baseband signal;

[0014] The fading simulator performs fading simulation processing on the digital baseband signal and outputs a fading digital baseband signal;

[0015] The digital-to-analog converter receives the faded digital baseband signal and outputs a faded analog baseband signal;

[0016] The up-converter up-converts the faded analog baseband signal to a target frequency to obtain the target radio frequency signal; the target frequency is the frequency of the target radio frequency signal.

[0017] According to a radio frequency signal simulation device provided by the present invention, the up-converter up-converts the fading simulation baseband signal to a target frequency, comprising:

[0018] The fading analog baseband signal is mixed with the sixth local oscillator signal through a fifth mixing module to obtain a first frequency signal, the IQ baseband signal is mixed with the fifth local oscillator signal through an IQ modulation module to obtain a second frequency signal, and the first frequency signal and the second frequency signal are combined into a third frequency signal;

[0019] The third frequency signal is mixed with the first local oscillation signal by the first mixing module to obtain a fourth frequency signal;

[0020] The fourth frequency signal is mixed with the second local oscillation signal by a second mixing module to obtain a fifth frequency signal;

[0021] The fifth frequency signal is filtered and amplified and then divided into two paths, and one of the fifth frequency signals is mixed with the third local oscillation signal by a third mixing module to obtain a sixth frequency signal and a seventh frequency signal;

[0022] Combining the sixth frequency signal with another channel of the fifth frequency signal to obtain an eighth frequency signal;

[0023] The eighth frequency signal is divided into two paths, and one of the eighth frequency signals is mixed with the fourth local oscillation signal by a fourth mixing module to obtain a ninth frequency signal;

[0024] After the seventh frequency signal, the ninth frequency signal and another channel of the eighth frequency signal are synthesized into one channel, the target radio frequency signal is output through an attenuator.

[0025] According to a radio frequency signal simulation device provided by the present invention, the third frequency signal is a 4.8 GHz signal, the first local oscillator signal is a 28.4 GHz signal, the fourth frequency signal is a 23.6±2 GHz signal, the second local oscillator signal is a 23.9~43.6 GHz signal, and the fifth frequency signal is a 0.3~20 GHz signal;

[0026] The sixth frequency signal corresponding to the 28 GHz signal, the 35.2 GHz signal, the 41.6 GHz signal and the 48 GHz signal included in the third local oscillator signal is a 16-54 GHz signal, and the seventh frequency signal is a 46-54 GHz signal;

[0027] The eighth frequency signal is a 0.3-50 GHz signal, the ninth frequency signal is a 50-67 GHz signal, and the target RF signal is a 0.3-67 GHz signal.

[0028] According to a radio frequency signal simulation device provided by the present invention, the down converter mixes the input signal with the local oscillator input signal to output an analog baseband signal, including:

[0029] After the input signal is power-enhanced by the attenuator, it is input into the microwave switch module and divided into a tenth frequency signal, an eleventh frequency signal and a twelfth frequency signal;

[0030] After mixing the eleventh frequency signal with the fourth local oscillation signal through the fourth mixing module to obtain a thirteenth frequency signal, the thirteenth frequency signal and the twelfth frequency signal are combined to obtain a fourteenth frequency signal;

[0031] The tenth frequency signal is mixed with the third local oscillation signal by a third mixing module to obtain a fifteenth frequency signal;

[0032] The fourteenth frequency signal, the fifteenth frequency signal and the second local oscillation signal are mixed by a second mixing module to obtain a sixteenth frequency signal;

[0033] The sixteenth frequency signal is mixed with the first local oscillation signal by a first mixing module to obtain a seventeenth frequency signal;

[0034] The seventeenth frequency signal is mixed with the fifth local oscillation signal by a fifth mixing module to obtain the analog baseband signal.

[0035] According to a radio frequency signal simulation device provided by the present invention, the local oscillator input signal is a 0.3~67GHz signal, the tenth frequency signal is a 16~54GHz signal, the eleventh frequency signal is a 50~67GHz signal, the twelfth frequency signal is a 0.3~20GHz signal, the thirteenth frequency signal is a 2~19GHz signal, the fifteenth frequency signal is a 2~20GHz signal, the sixteenth frequency signal is a 23.6GHz signal, the seventeenth frequency signal is a 4.8GHz signal, and the analog baseband signal is a 1.2GHz signal.

[0036] According to a radio frequency signal simulation device provided by the present invention, the signal processing unit further includes a local oscillator distribution unit, and the local oscillator distribution unit includes a reference source branch module and a first local oscillator module, a second local oscillator module, a third local oscillator module, a fourth local oscillator module, a fifth local oscillator module and a sixth local oscillator module;

[0037] The reference source branching module controls at least one of the first local oscillator module, the second local oscillator module, the third local oscillator module, the fourth local oscillator module, the fifth local oscillator module and the sixth local oscillator module to output a corresponding local oscillator signal according to the input reference signal;

[0038] The reference signal is a 10 MHz OCXO signal.

[0039] According to a radio frequency signal simulation device provided by the present invention, the signal processing unit performs fading simulation processing on the input signal according to the channel impulse response coefficient and outputs the target radio frequency signal, including:

[0040] The signal processing unit inputs the channel impulse response coefficient to the fading simulator in the signal processing unit,

[0041] The fading simulator performs fading simulation processing on the digital baseband signal according to the channel impulse response coefficient to obtain a fading digital baseband signal;

[0042] The target radio frequency signal is obtained by performing digital-to-analog conversion on the faded digital baseband signal and then up-converting the signal.

[0043] According to a radio frequency signal simulation device provided by the present invention, the channel coefficient generation platform is deployed in a cloud server, a ray tracing simulation module is also deployed in the cloud server, and the ray tracing simulation module is loaded with a ray tracing three-dimensional model;

[0044] The ray tracing three-dimensional model is generated by modeling the scene based on the electronic map provided by the road test file, equating the propagation process of electromagnetic waves to ray propagation, and simulating the behavior of electromagnetic waves of different frequency bands and bandwidths on each propagation path;

[0045] Inputting configuration parameters received through the basic configuration interface, the map configuration interface, the antenna configuration interface, the cell configuration interface and the simulation calculation interface into the ray tracing three-dimensional model, and obtaining a path loss file output by the ray tracing three-dimensional model;

[0046] The path loss file at least includes a channel impulse response matrix, and the channel impulse response matrix includes channel impulse response coefficients of each sub-channel.

[0047] A radio frequency signal simulation device provided by the present invention also includes an integrated interference and channel acquisition and storage unit;

[0048] The integrated interference and channel acquisition and storage unit acquires the digital baseband signal during the generation process of the target radio frequency signal, and marks a timestamp and a position stamp for each of the digital baseband signals;

[0049] The digital baseband signal marked with the timestamp and the position stamp is stored in a disk array.

[0050] According to a radio frequency signal simulation device provided by the present invention, while collecting the digital baseband signal in the process of generating the target radio frequency signal, a certain length of the digital baseband signal is intercepted and sent to the channel coefficient generation platform, so that the digital baseband signal is subjected to spectrum power analysis and channel parameter analysis through the channel coefficient generation platform to obtain the analysis result;

[0051] The analysis results include one or more of path loss, shadow fading, channel impulse response, channel power delay, channel delay spread, and channel Doppler shift / spread.

[0052] According to a radio frequency signal simulation device provided by the present invention, the user control unit includes a user UI interface, a system configuration module, a communication interface module, a scenario modeling module and a link parameter configuration module.

[0053] The radio frequency signal simulation device provided by the present invention controls the software radio platform by configuring simulation parameters through a user control platform, completes the generation of channel coefficients and data packaging in the cloud platform, performs fading processing on the input signal through the software radio platform, and adopts a system architecture of cloud computing plus multi-channel wireless channel simulation, which replaces large-scale analog beamforming devices with digital operations to achieve an organic combination of virtual beams, electromagnetic interference and wireless channels, and can accurately simulate the interference aliasing and dynamic propagation characteristics of phased array radar signals in an open environment space, thereby solving the problem of phased array multi-antenna channel simulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 This is one of the structural schematic diagrams of the radio frequency signal simulation device provided by the present invention.

[0056] Figure 2 This is the second structural schematic diagram of the radio frequency signal simulation device provided by the present invention.

[0057] Figure 3 It is a hardware principle schematic diagram of the radio frequency signal simulation device provided by the present invention.

[0058] Figure 4 The figure is a schematic diagram of the principle of an up-converter provided by the present invention.

[0059] Figure 5 The present invention is a schematic diagram of the principle of a down converter.

[0060] Figure 6 It is a principle schematic diagram of a local oscillator distribution unit provided by the present invention.

[0061] Figure 7 It is a schematic diagram of the principle of the signal processing unit provided by the present invention.

[0062] Figure 8 It is a schematic diagram of the principle of the fading simulator provided by the present invention.

[0063] Fig. 9 It is a schematic diagram of the design principle of the ray tracing simulation module provided by the present invention.

[0064] Fig.10 It is a schematic diagram of the system principle of the complex electromagnetic simulator provided by the present invention.

[0065] Fig.11 It is a schematic diagram of the principle of the integrated interference and channel acquisition and storage unit provided by the present invention.

[0066] Fig.12 It is a principle schematic diagram of the user control unit provided by the present invention.

[0067] Fig.13 It is an overall block diagram of the complex electromagnetic simulator provided by the present invention. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] It should be noted that in the description of the present invention, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements. The orientation or position relationship indicated by the terms "upper", "lower" and the like is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a communication connection, or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0070] The terms "first", "second", etc. in the present invention are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" means at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0071] The channel simulators currently produced by mainstream communication instrument manufacturers are used for electromagnetic scene simulation and still need to overcome the following deficiencies:

[0072] First, there is a lack of measured data on wireless channels, the measurement is difficult, and available models are scarce. Electromagnetic spectrum and interference data can be collected through general-purpose spectrum analyzers and other equipment, and many civil communication companies and research institutions have accumulated considerable data. However, in terms of wireless channel data, academic research is mainly carried out for public network scenarios, and there is a lack of field measurement data and models for complex civil scenarios such as intelligent transportation, the Internet of Things, and smart grids. At the same time, in some special environments (such as densely populated urban areas, underground facilities, etc.), the requirements for channel measurement equipment are high, and these environments are more complex, resulting in a relative lack of research results such as measured channel data, modeling methods, and available models in civil scenarios, which limits the development of civil wireless channel simulation technology.

[0073] Secondly, the existing channel models are difficult to meet the accuracy requirements of civil complex electromagnetic environment simulation. There are complex and unique propagation characteristics in the civil environment, such as multipath effects, building reflections, signal shielding, etc. in urban environments. These factors produce propagation mechanisms and multipath channels that are different from typical communication scenarios, resulting in unique loss and fading characteristics of radio waves, with high spatial heterogeneity and frequency dependence. This makes it difficult for the currently used empirical or analytical models of radio wave propagation to accurately characterize radio wave propagation and channel characteristics in complex urban environments, industrial environments and other special civil scenarios. Therefore, more accurate and reliable radio wave propagation prediction technologies and platforms are needed to support the accurate characterization of multiple dense and dynamically changing electromagnetic signals in complex environments.

[0074] In addition, the dynamic simulation capability is limited, the RF bandwidth is small, and the number of switching channels is small. The current channel simulator is mainly aimed at public network base stations and mobile phone terminal testing, and uses civilian standard channel models for testing. Since the public network standard model only covers several typical application scenarios, and the channel parameters are relatively fixed, the simulation time is too short (milliseconds to seconds) in some highly dynamic, multi-scenario switching civilian applications, and the scene switching and dynamic parameter transformation capabilities are limited, making it difficult to meet the long-term (hours) and multi-scenario (such as intelligent transportation, Internet of Things applications, etc.) channel simulation requirements. At the same time, the current channel simulator is mainly aimed at 4G and 5G applications, and the RF bandwidth is small (hundreds of megahertz level), which is difficult to meet the high bandwidth requirements, especially in some high data rate and low latency applications (such as ultra-high-definition video transmission, unmanned driving, etc.). In addition, civilian scenarios have many frequency points, large RF exchanges, and high phase consistency requirements. Existing equipment is difficult to meet the scalability and customization requirements in civilian scenarios.

[0075] In view of this, the present invention provides a new RF signal simulation device, which mainly has four key technical improvements: integrated interference and channel acquisition and storage technology, combined with high-performance ray tracing simulation technology, fully connected channel simulation technology and ultra-large bandwidth frequency conversion technology, aiming to replace large-scale analog beamforming devices through digital computing equivalent, realize the organic combination of virtual beams with electromagnetic interference and wireless channels, so as to solve the problem of phased array multi-antenna channel simulation. Figure 1-Figure 13 Give detailed explanation.

[0076] Figure 1 is one of the structural schematic diagrams of the radio frequency signal simulation device provided by the present invention, such as Figure 1 As shown, it mainly includes but is not limited to a fully connected channel simulation module.

[0077] The fully connected channel simulation module includes a user control unit arranged on a user control platform, a channel coefficient generation unit arranged on a channel coefficient generation platform, and a signal processing unit arranged on a software radio platform. The user control unit performs signal simulation control and configuration parameters, and the configuration parameters include configuration of model parameters and hardware configuration parameters. The channel coefficient generation unit generates a channel impulse response matrix according to the configuration parameters input by the user control unit, and splits the channel impulse response matrix into channel impulse response coefficients of each sub-channel. The signal processing unit performs fading simulation processing on the input signal according to the channel impulse response coefficients, and outputs a target radio frequency signal. The target radio frequency signal refers to a high-frequency signal after modulation, which is suitable for the field of wireless communications and has a higher frequency and bandwidth. The target radio frequency signal reflects the propagation effect of the signal under specific channel conditions.

[0078] Specifically, the radio frequency signal simulation device provided by the present invention creatively integrates a fully connected channel simulation module compared to the existing signal simulator, and mainly includes three parts: a user control unit, a coefficient generation unit, and a hardware processing unit. The user control unit and the channel coefficient generation unit are mainly completed in the software, and are respectively arranged in the user control platform and the channel coefficient generation platform, and the user control platform can generally be loaded on the user terminal server, while the channel coefficient generation platform is generally loaded on the cloud server.

[0079] The user control unit mainly completes the human-machine interface, including the input of model parameters and hardware configuration parameters, the measurement of input signals and the display of results. Among them, the model parameters mainly include channel parameters, scene parameters and antenna parameters. The hardware configuration parameters mainly include the number of generated channel impulse response matrices, the number of configured channels, whether it is a MIMO channel model, the center frequency, the moving speed, the simulation time, etc.

[0080] The channel coefficient generation unit mainly generates a channel impulse response matrix based on the input channel parameters, splits the generated channel impulse response matrix into impulse response coefficients of each sub-channel, and finally transmits it to the fading simulator of the signal processing unit. Among them, the channel impulse response matrix uses a mathematical matrix to describe the attenuation and delay characteristics of the signal at different times and on different paths when it propagates in each sub-channel.

[0081] The signal processing unit is mainly used to complete the down-conversion, analog-to-digital conversion (ADC), fading simulation, digital-to-analog conversion (DAC) and up-conversion of the channel input signal. It simulates the channel characteristics by applying the channel impulse response coefficient to the input signal and performing mathematical operations.

[0082] The signal processing unit used in the present invention has a wider bandwidth, higher computing speed and precision, and its performance is directly related to the performance indicators of the channel emulator, such as frequency range, bandwidth, multipath resolution, maximum multipath number, maximum multipath delay extension and other advantages.

[0083] Fading simulation is the functional core of the signal processing unit. The fading simulator used in the present invention can adopt digital signal processing (Digital Signal Processing, DSP) or field programmable gate array (Field-Programmable Gate Array, FPGA), which are hardware with high-speed computing capabilities and mainly perform convolution operations on digital baseband signals and channel impulse responses.

[0084] Figure 2 This is a second structural diagram of the radio frequency signal simulation device provided by the present invention, such as Figure 2 As shown, the present invention adopts this architecture, with the help of current mainstream hardware technology, and fully utilizes the convenient user interaction capabilities of general-purpose computers and fading simulators. The FGPA used in the fading simulator can meet the parallel processing capabilities of real-time simulation of multipath channel models.

[0085] The user control platform mentioned in the present invention is the control center of the radio frequency signal simulation device, which is used to provide users with a medium for using, operating and controlling the system, integrating the relevant components of the user control unit (also known as the user processing unit) in the user terminal (such as a PC) and performing its related functions. The user control unit allows the user to control and use other platforms related to the radio frequency signal simulation device (such as the integrated interference and channel acquisition and storage unit of the overall radio frequency signal simulation device, the ultra-wideband up and down converter, etc.) in a visual manner, and comprehensively monitor the operating status information of other platforms (such as working status, parameter configuration status, etc.).

[0086] The user control unit provided by the present invention adopts a visual graphical user interface which is simple, clear and easy to operate. It can be used to display effective information including simulation control, parameter configuration, etc., realize data transmission between different platforms and monitor the system operation status.

[0087] When an abnormality occurs in the operation of RF signal simulation, the user can be informed of the correct usage specifications through alarm output mechanisms and precise problem positioning, thereby protecting precision components and RF devices from damage.

[0088] The cloud platform loaded with the channel coefficient generation platform is the channel coefficient calculation core of the RF signal simulation device. Relying on a high-performance cloud computing cluster, it can be equipped with a high-performance ray tracing engine (described in detail in the following embodiments) to complete the channel coefficient generation work required in the channel simulation process.

[0089] The cloud computing cluster is built by a large number of servers through a huge Internet network. The Internet network can meet the requirements of low latency, high bandwidth, low cost, and point-to-point communication mode between all nodes. The channel coefficient generation unit is deployed by taking advantage of its high-performance computing and massive storage, and modeling simulation and channel coefficient calculation and framing are performed on each server. In addition, channel modeling can be performed from multiple angles of space, time, and frequency in the cloud platform, which can more accurately simulate the actual wireless propagation environment and generate more accurate channel data.

[0090] The software radio platform is the core part of the RF and baseband processing of the entire RF signal simulation device. It is the physical medium for channel simulation of the input signal, and completes the tasks of RF signal reception and transmission, baseband signal processing, etc. The signal processing unit provides flexible and configurable underlying hardware support for wireless channel simulation. Based on this, the signal processing unit is used to define and control the signal processing in the software, so that the platform supports a wider frequency range and bandwidth, has a faster computing speed and higher accuracy, etc.

[0091] Combination Figure 1 and Figure 2 As shown, in the RF signal simulation device provided by the present invention, when performing RF signal simulation, its general process includes: the user configures the required simulation parameters or generates parameter files and controls the software radio platform through the user control platform, completes the generation of channel coefficients and data encapsulation in the cloud platform, and then transmits them to the software radio platform through the wireless network. The software radio platform performs fading processing on the input signal (INPUT) according to the received control information (the cloud platform sends the control information parameters to the software radio platform through the main controller) and the channel coefficient, and finally outputs the target RF signal (OUTPUT) through up-conversion.

[0092] The radio frequency signal simulation device provided by the present invention controls the software radio platform by configuring simulation parameters through a user control platform, completes the generation of channel coefficients and data packaging in the cloud platform, performs fading processing on the input signal through the software radio platform, and adopts a system architecture of cloud computing plus multi-channel wireless channel simulation, which replaces large-scale analog beamforming devices with digital operations to achieve an organic combination of virtual beams, electromagnetic interference and wireless channels, and can accurately simulate the interference aliasing and dynamic propagation characteristics of phased array radar signals in an open environment space, thereby solving the problem of phased array multi-antenna channel simulation.

[0093] Figure 3 Schematic diagram of the hardware principle of the radio frequency signal simulation device provided by the present invention, as an optional embodiment, such as Figure 3 As shown, in the RF signal simulation device provided by the present invention, the signal processing unit includes a RF baseband conversion module, a fading simulator, and a baseband RF conversion module; the RF baseband conversion module includes a down converter and an analog-to-digital converter, and the baseband RF conversion module includes a digital-to-analog converter and an up converter;

[0094] The down converter mixes the input signal with a local oscillator input signal and outputs an analog baseband signal;

[0095] The analog-to-digital converter receives the analog baseband signal and outputs a digital baseband signal;

[0096] The fading simulator performs fading simulation processing on the digital baseband signal and outputs a fading digital baseband signal;

[0097] The digital-to-analog converter receives the faded digital baseband signal and outputs a faded analog baseband signal;

[0098] The up-converter up-converts the faded analog baseband signal to a target frequency to obtain the target radio frequency signal; the target frequency is the frequency of the target radio frequency signal.

[0099] When the RF signal simulation device is in use, the RF port is generally directly connected to the terminal equipment and the signal transmitter, such as a base station or a signal generator, after passing through the fading simulator. Therefore, a higher-performance RF module is required to be connected to the RF port to achieve mutual conversion between the signal frequency band and the baseband digital domain.

[0100] In order to achieve a wide-band input range, a down-converter is provided before the analog-to-digital converter and an up-converter is provided after the digital-to-analog converter to broaden the frequency band of the target RF signal.

[0101] Digital intermediate frequency or zero intermediate frequency processing can make the RF circuit simpler. The zero intermediate frequency processing method directly mixes the input signal to the analog baseband signal (also called the baseband IQ signal), samples and quantizes the baseband IQ signal through the data converter, and then uses the fading simulator to demodulate the baseband signal and process it. The above structure only needs one mixing, and the structure is simple and easy to integrate.

[0102] Specifically, the radio frequency signal simulation device of the present invention is intended to simulate a complex electromagnetic environment to test or verify the performance of a communication system. The device implements a signal processing flow from radio frequency input to radio frequency output through a series of modular hardware components.

[0103] The input signal is the RF signal (RF Input) received from the outside. After entering the downconverter, it is mixed with the local oscillator input signal to form an intermediate frequency (IF) analog signal or an analog baseband signal. This step is to reduce the frequency of the input signal for further processing. The local oscillator input signal is a clock signal generated by the local oscillator (LO).

[0104] The analog baseband signal obtained after down-conversion is input to the analog-to-digital converter (ADC) to be converted into a digital baseband signal. The generated digital baseband signal is then sent to the fading simulator (which can be an FPGA chip using the SOC architecture), which is responsible for the logic control of the entire signal processing process, including: receiving the digital baseband signal output by the ADC, and performing fading simulation processing (for example, attenuation simulation, phase offset, multipath effect, etc.) through built-in logic and algorithms. The processed fading digital baseband signal is then sent to the digital-to-analog converter (DAC) to convert it back into a fading analog baseband signal. Finally, the fading analog baseband signal is up-converted to the target RF frequency so that it can be sent out through the antenna.

[0105] A specific embodiment is provided below to introduce one of the transceiver channels in detail.

[0106] About the receiving channel: The signal receiving end receives the input signal from the analog front end which is highly sensitive and can accept small signals, and then uses direct down-conversion to digitize the input signal into in-phase (I) and quadrature (Q) baseband signals. The analog baseband signal after down-conversion is converted into a digital baseband signal after a high-speed analog-to-digital converter. The digital baseband signal is transmitted from the vector signal receiver to the fading simulator in a peer-to-peer (P2P) manner for further processing.

[0107] About the transmit channel: The master controller synthesizes the baseband I / Q signal and transmits the signal to the fading simulator through a standard PCIe connection (DMA). The digital up converter (DUC) mixes, filters, and interpolates the signal to 400MS / s. The digital-to-analog converter converts the received signal back to an analog signal. The low-pass filter is used to reduce noise and high-frequency components in the signal. The mixer up-converts the signal to the user-specified RF frequency. The phase-locked loop controls the voltage-controlled oscillator to lock the device clock and the local oscillator (LO) to the same reference clock. Depending on the frequency, the signal can pass through the direct conversion path or the down-conversion path. The transmit amplifier is used to amplify the signal, and the resulting target RF signal is transmitted through the antenna.

[0108] The radio frequency signal simulation device provided by the present invention relies on full-connection channel simulation technology for data interaction between channels. The minimum bandwidth guaranteed by full channel connection is the hardware bottleneck for system data storage, online analysis and real-time high-performance computing. The general software radio technology based on high-speed bus can be used in combination with high-throughput optical fiber transmission technology to realize the modular architecture of the wireless channel simulation system, improve the scalability and openness of the platform, and solve the problem of large bandwidth and full switching simulation.

[0109] At the same time, the RF signal simulation device provided by the present invention breaks through the large-scale / ultra-large-scale phased array antenna digital simulation technology, replaces the large-scale analog beamforming device with digital computing equivalent, realizes the organic combination of virtual beam, electromagnetic interference and wireless channel, accurately simulates the interference aliasing and dynamic propagation characteristics of phased array radar signals in open environment space, and solves the problem of phased array multi-antenna channel simulation. The general software radio technology based on high-speed bus is used in combination with high-throughput optical fiber transmission technology to realize the modular architecture of the wireless channel simulation system, improve the scalability and openness of the platform, solve the problem of large bandwidth and full switching simulation, and meet the customization requirements under the scene.

[0110] Compared with the current conventional signal simulator, the RF signal simulation device provided by the present invention also adopts ultra-wide bandwidth frequency conversion technology, which is mainly reflected in the up / down converter. The up / down converter is a supporting module tailored for complex electromagnetic simulators, which realizes the functions of limiting, attenuating, filtering, frequency conversion, and amplification of the input signal. It integrates multiple groups of pre-selected filter groups at the input end, has the characteristics of large dynamic range, strong anti-interference ability, and high anti-burning power. It is very suitable for use as a receiving device in a complex electromagnetic environment. It has an internal integrated low phase noise local oscillator source, has the characteristics of fast frequency conversion time, and can realize fast full-band scanning.

[0111] Based on the content of the above embodiment, as an optional embodiment, in the radio frequency signal simulation device provided by the present invention, the up-converter used is used to up-convert the fading simulated baseband signal to the target radio frequency signal, specifically including:

[0112] The fading analog baseband signal is mixed with the sixth local oscillator signal through a fifth mixing module to obtain a first frequency signal, the IQ baseband signal is mixed with the fifth local oscillator signal through an IQ modulation module to obtain a second frequency signal, and the first frequency signal and the second frequency signal are combined into a third frequency signal;

[0113] The third frequency signal is mixed with the first local oscillation signal by the first mixing module to obtain a fourth frequency signal;

[0114] The fourth frequency signal is mixed with the second local oscillation signal by a second mixing module to obtain a fifth frequency signal;

[0115] The fifth frequency signal is filtered and amplified and then divided into two paths, and one of the fifth frequency signals is mixed with the third local oscillation signal by a third mixing module to obtain a sixth frequency signal and a seventh frequency signal;

[0116] Combining the sixth frequency signal with another channel of the fifth frequency signal to obtain an eighth frequency signal;

[0117] The eighth frequency signal is divided into two paths, and one of the eighth frequency signals is mixed with the fourth local oscillation signal by a fourth mixing module to obtain a ninth frequency signal;

[0118] After the seventh frequency signal, the ninth frequency signal and another channel of the eighth frequency signal are synthesized into one channel, the target radio frequency signal is output through an attenuator.

[0119] Figure 4 Schematic diagram of the principle of an up-converter provided by the present invention, such as Figure 4 As shown, the third frequency signal is a 4.8 GHZ signal, the first local oscillator signal is a 28.4 GHz signal, the fourth frequency signal is a 23.6±2 GHz signal, the second local oscillator signal is a 23.9~43.6 GHz signal, and the fifth frequency signal is a 0.3~20 GHz signal;

[0120] The sixth frequency signal corresponding to the 28 GHz signal, the 35.2 GHz signal, the 41.6 GHz signal and the 48 GHz signal included in the third local oscillator signal is a 16-54 GHz signal, and the seventh frequency signal is a 46-54 GHz signal;

[0121] The eighth frequency signal is a 0.3-50 GHz signal, the ninth frequency signal is a 50-67 GHz signal, and the target RF signal is a 0.3-67 GHz signal.

[0122] Specifically, the main function of the up-converter is to convert the baseband IQ signal or the intermediate frequency IF signal into a radio frequency signal of the target frequency band through multiple frequency conversions. In this embodiment, the fading analog baseband signal is up-converted to the target radio frequency signal. Among them, the frequency band of the target radio frequency signal is 0.3~67GHz, which can achieve a maximum signal bandwidth of 2GHz and a performance without breakpoints in the whole frequency band. The specific implementation steps include:

[0123] First, the fading analog baseband signal is frequency-converted to obtain a first frequency signal of 4.8 GHz. This step is the starting point of the frequency conversion process and is prepared for subsequent mixing with different local oscillator signals. After the IQ baseband signal is mixed with the fifth local oscillator signal through the IQ modulation module to obtain a second frequency signal, the first frequency signal and the second frequency signal are synthesized into a third frequency signal.

[0124] Then, the third frequency signal obtained from the first frequency signal of 4.8 GHz is mixed with the first local oscillator signal 28.4 GHz to obtain a fourth frequency signal of 23.6 GHz ± 2 GHz. The purpose of this step is to increase the signal frequency to a higher frequency band for subsequent mixing operations.

[0125] Then, the fourth frequency signal of 23.6 GHz ± 2 GHz and the second local oscillator signal of 23.9 to 43.6 GHz are mixed to obtain the fifth frequency signal of 0.3 to 20 GHz. This step realizes further adjustment and expansion of the signal frequency.

[0126] Furthermore, the fifth frequency signal of 0.3~20GHz is divided into two paths after filtering and amplification, one of which is mixed with the third local oscillator signal including frequency points such as 28GHz, 35.2GHz, 41.6GHz and 48GHz to obtain a signal of 16~54GHz.

[0127] Among them, it mainly includes mixing the 4~12GHz frequency band signal and the 28GHz frequency point in the fifth frequency signal to obtain a 16~24GHz frequency signal; mixing the 3.7~15.2GHz frequency band signal and the 35.2GHz frequency point in the fifth frequency signal to obtain a 20~31.5GHz frequency signal; mixing the 4.6~14.1GHz frequency band signal and the 41.6GHz frequency point in the fifth frequency signal to obtain a 27.5~37GHz frequency signal; mixing the 4~15GHz frequency band signal and the 48GHz frequency point in the fifth frequency signal to obtain a 33~44GHz frequency signal; mixing the 4.8~14.8GHz frequency band signal and the 35.2G frequency point in the fifth frequency signal to obtain a 40~50GHz frequency signal; mixing the 4.4~12.4GHz frequency band signal and the 41.6G frequency point in the fifth frequency signal to obtain a 46~54GHz frequency signal.

[0128] After the above signals are segmented filtered and amplified, they are output (mixed and filtered signals), and then combined with another 0.3-20 GHz frequency signal that has not been mixed with the third local oscillator signal through a microwave switch module, which is recorded as the eighth frequency signal. Then, they are divided into two channels through another microwave switch module, in which the eighth frequency signal of 5.2-22.2 GHz is mixed with the fourth local oscillator signal of 44.8 GHz to obtain the ninth frequency signal of 50-67 GHz.

[0129] Finally, all the seventh frequency signals, the ninth frequency signals and another eighth frequency signal fused by the fourth local oscillator signal are combined into one channel through a microwave switch module.

[0130] Finally, the target RF signal of 0.3~67GHz is output through a 90dB attenuator.

[0131] As an optional embodiment, the attenuator can also directly input the baseband IQ signal or generate the IQ signal internally (optional). The maximum frequency of the IQ signal is greater than 1000 MHz. The IQ signal is directly modulated to 4.8 GHz, and then the target RF signal of 0.3~67 GHz is obtained through the same frequency conversion as the intermediate frequency input.

[0132] As an optional embodiment, in the RF signal simulation device provided by the present invention, the down-converter used is mainly used to mix the input signal with the local oscillator input signal to obtain an analog baseband signal. Its specific structure includes a first mixing module, a second mixing module, a third mixing module, a fourth mixing module, a microwave switch module, a filter, an amplification module, an attenuation module, an intermediate frequency module, a reference module, a power supply module and a control module.

[0133] The specific down-conversion process can be expressed as:

[0134] After the input signal is power-enhanced by the attenuator, it is input into the microwave switch module and divided into a tenth frequency signal, an eleventh frequency signal and a twelfth frequency signal;

[0135] After mixing the eleventh frequency signal with the fourth local oscillation signal through the fourth mixing module to obtain a thirteenth frequency signal, the thirteenth frequency signal and the twelfth frequency signal are combined to obtain a fourteenth frequency signal;

[0136] The tenth frequency signal is mixed with the third local oscillation signal by a third mixing module to obtain a fifteenth frequency signal;

[0137] The fourteenth frequency signal, the fifteenth frequency signal and the second local oscillation signal are mixed by a second mixing module to obtain a sixteenth frequency signal;

[0138] The sixteenth frequency signal is mixed with the first local oscillation signal by a first mixing module to obtain a seventeenth frequency signal;

[0139] The seventeenth frequency signal is mixed with the fifth local oscillation signal by a fifth mixing module to obtain the analog baseband signal.

[0140] Figure 5 Schematic diagram of the principle of a down converter provided by the present invention. Figure 5 As shown, as an optional embodiment, the local oscillator input signal is a 0.3~67GHz signal, the tenth frequency signal is a 16~54GHz signal, the eleventh frequency signal is a 50~67GHz signal, the twelfth frequency signal is a 0.3~20GHz signal, the thirteenth frequency signal is a 2~19GHz signal, the fifteenth frequency signal is a 2~20GHz signal, the sixteenth frequency signal is a 23.6GHz signal, the seventeenth frequency signal is a 4.8GHz signal, and the analog baseband signal is a 1.2GHz signal.

[0141] Specifically, in this embodiment, the main function of the down converter is to convert the input signal of 0.3~67GHz into an analog baseband signal of 1.2GHz through multiple frequency conversions, with a maximum bandwidth of 2GHz, a frequency step of 10Hz, a gain range of 0~45dB, and a gain adjustment step of 0.1dB.

[0142] First, the input signal is passed through an attenuation module, so that the power of the input signal can be enhanced so that the maximum power of the input signal reaches +10dBm.

[0143] Then, it is divided into three paths through a switch and recorded as the tenth frequency signal, the eleventh frequency signal and the twelfth frequency signal.

[0144] One of the twelfth frequency signals of 0.3~20GHz is amplified and filtered; the other eleventh frequency signal of 50~67GHz is also amplified and filtered, and then mixed with the tenth local oscillator signal of 48GHz to obtain the thirteenth frequency signal of 2~19GHz.

[0145] The tenth frequency signal of 16~54GHz is mixed with the third local oscillator signal after passing through the amplification filter group to obtain the fifteenth frequency signal of 2~20GHz.

[0146] Among them, the 16~24GHz frequency band signal in the tenth frequency signal is mixed with 28GHz to obtain a 4~12GHz intermediate frequency signal; the 20~31.5GHz frequency band signal is mixed with 35.2GHz to obtain a 3.7~15.2GHz intermediate frequency signal; the 27.5~37GHz frequency band signal is mixed with 41.6GHz to obtain a 4.6~14.1GHz intermediate frequency signal; the 33~44GHz frequency band signal is mixed with 48GHz to obtain a 4~15GHz intermediate frequency signal; the 40~50GHz frequency band signal is mixed with 35.2GHz to obtain a 4.8~14.8GHz intermediate frequency signal; the 46~54GHz frequency band signal is mixed with 41.6GHz to obtain a 4.4~12.4GHz intermediate frequency signal.

[0147] Furthermore, all these intermediate frequency signals are filtered by the filter bank, and then mixed with the second local oscillator signal 24.9~43.6GHz to obtain the 16th frequency signal of 23.6GHz, the signal bandwidth of the 16th frequency signal is 2GHz, and the overlapping bandwidth of all filters and frequency segmentation parts at the front end is 2GHz. In this way, there is no discontinuity in the entire frequency band, ensuring that the signal bandwidth is 2GHz.

[0148] Then, the sixteenth frequency signal is mixed with the first local oscillator 28.4 GHz to obtain the seventeenth frequency signal of 4.8 GHz.

[0149] The seventeenth frequency signal is mixed with the fifth local oscillator signal to obtain the desired 1.2 GHz intermediate frequency analog baseband signal.

[0150] It should be noted that the present invention can adopt a superheterodyne system in the design of the downconverter, which has the advantage of realizing an intermediate frequency filter with a relatively narrow bandwidth and a high rectangular coefficient at a relatively low intermediate frequency, thereby effectively filtering out stray interference components.

[0151] At the same time, the local oscillator source of the first mixer can use frequency synthesis technology to increase the channel selectivity of the frequency converter. Through two frequency conversion processes, it is possible to achieve flexible configuration of the receiving channel (such as adjusting the receiving frequency band and bandwidth) and obtain a better image frequency suppression ratio.

[0152] The RF signal simulation device provided by the present invention uses ultra-wide bandwidth frequency conversion technology to ensure the amplitude and phase consistency of the channel reception and transmission channels, which directly affects the key indicators and reliability of the device simulation, such as the dynamic range and anti-interference capability. At the same time, the frequency range affects the breadth of the device usage scenarios and is the basis for ensuring the system hardware performance.

[0153] Figure 6 Schematic diagram of the principle of a local oscillator distribution unit provided by the present invention, such as Figure 6 As shown, the local oscillator distribution unit includes a reference source branching module and a first local oscillator module, a second local oscillator module, a third local oscillator module, a fourth local oscillator module, a fifth local oscillator module and a sixth local oscillator module;

[0154] The reference source branch module controls at least one of the first local oscillator module, the second local oscillator module, the third local oscillator module, the fourth local oscillator module, the fifth local oscillator module and the sixth local oscillator module to output a corresponding local oscillator signal according to the input reference signal; the reference signal can use a 10MHz OCXO signal.

[0155] Among them, the OCXO signal specifically refers to the signal source generated by a high-precision, high-stability oven-controlled crystal oscillator (OCXO for short), which is widely used in various occasions that require precise timing and signal synchronization.

[0156] The main function of the local oscillator distribution unit is to provide multiple local oscillators for the frequency conversion channel, and to provide 10MHz reference input and output functions, outputting 1 10MHz channel.

[0157] The internal 10MHz reference selects a high-stability OCXO signal or a high-stability rubidium clock signal. When the internal OCXO signal or rubidium clock is used as the 10MHz frequency reference source, the output frequency has extremely high stability and accuracy, which can meet the system's strict requirements for frequency stability and accuracy. The internal reference frequency stability is ≤±10 -8 , the internal reference frequency accuracy is ≤±10 -7 , meeting the system's requirements for frequency stability and accuracy.

[0158] The 10MHz output phase noise index is ≤-140dBc / Hz@100Hz, ≤-150dBc / Hz@1KHz, ≤-155dBc / Hz@10KHz or ≤-155dBc / Hz@100KHz, which meets the index requirements. This solution mainly provides five local oscillators, the first local oscillator frequency is 28.4GHz, the second local oscillator frequency is 23.9~43.6GHz frequency step 10Hz, the third local oscillator frequency is 28GHz, 35.2GHz, 41.6GHz and 48GHz, the fourth local oscillator frequency is 44.8GHz single-point frequency signal, the fifth local oscillator frequency is 4.8GHz single-point frequency signal, and the reference of all local oscillators is 100MHz.

[0159] The radio frequency signal simulation device provided by the present invention uses a local oscillator distribution unit to distribute the local oscillator signal from the generating source to a system of multiple receiving or transmitting points. The local oscillator signal can be generated by one or more local oscillator sources and then transmitted to each required location through a distribution network (such as cable, optical fiber, wireless link, etc.).

[0160] As an optional embodiment, the signal processing unit mentioned in the embodiment of the present invention is mainly used to perform fading simulation processing on the input signal according to the channel impulse response coefficient, and output the target radio frequency signal, including:

[0161] The signal processing unit inputs the channel impulse response coefficient to the fading simulator in the signal processing unit,

[0162] The fading simulator performs fading simulation processing on the digital baseband signal according to the channel impulse response coefficient to obtain a fading digital baseband signal;

[0163] The target radio frequency signal is obtained by performing digital-to-analog conversion on the faded digital baseband signal and then up-converting the signal.

[0164] Figure 7 Schematic diagram of the principle of the signal processing unit provided by the present invention, such as Figure 7 As shown, in the RF signal simulation device provided by the present invention, the main function of the signal processing unit is to set the receiving and transmitting characteristics of the RF signal and perform channel fading processing on the baseband signal to complete the channel simulation. The unit mainly includes a RF baseband conversion module and a baseband signal processing module. The unit should receive the channel coefficient from the channel coefficient generation unit and also receive the simulation control and parameter configuration data from the user control unit.

[0165] Among them, the RF baseband conversion module is mainly used to execute the control of down-conversion and analog-to-digital conversion of the input signal, and finally send the mutually orthogonal baseband I and Q signals to the baseband signal processing module for further processing. After the signal passes through the baseband signal processing module, it is digital-to-analog converted and up-converted by the baseband RF conversion module and then output through the RF port.

[0166] Among them, parameters such as simulation center frequency, bandwidth, input and output levels are configured by the user control unit, and the RF baseband conversion module and registers in the baseband RF conversion module are initialized and parameterized. In the real-time simulation scenario, the fading simulator in the signal processing unit can also be used to adjust the output signal attenuation value.

[0167] like Figure 7 As shown, as the core part of the signal processing unit, the baseband signal processing module is responsible for network communication, data analysis and channel fading function implementation. In ARM, registers and other peripherals are initialized and state controlled, data sent from other platforms is received, and the received data is analyzed and processed, such as controlling the simulation process according to the simulation control information, transmitting the configuration parameters of the RF baseband conversion module to the RF baseband conversion module, converting the power parameter information, etc., and then transmitting the channel coefficient, path power adjustment, noise / interference type and frequency cycle and other information to the FPGA, which is used to simulate the fading of the input baseband IQ signal and adjust the power of each path. If necessary, noise and interference signals can be generated accordingly according to the configured noise / interference parameter information, and linearly superimposed on the faded signal as the final target RF signal obtained by a channel simulation.

[0168] As an optional embodiment, the simulation channel model adopted by the present invention can simultaneously adopt a structure in which multipath delay and fading coefficient correspond one to one, and the fading processing form adopts the same method as TDL.

[0169] The maximum number of multipaths supported in each subchannel is 2×2. Take the MIMO system as an example, the channel impulse response matrix of the MIMO system is:

[0170] ;

[0171] in, Indicates the transmitting antenna To the receiving antenna The channel impulse response of the sub-channels between them has no correlation between the coefficients of each sub-channel.

[0172] In addition, for discrete channels, it can be expressed as:

[0173] ;

[0174] in Indicates the number of The complex fading coefficient of the stripe diameter, For the The delay corresponding to the strip diameter.

[0175] According to the channel convolution operation, it can be expressed as:

[0176] ;

[0177] in, is the signal received by the two receiving antennas, corresponding to ; is the signal sent by the two transmitting antennas, corresponding to , expanding the channel convolution operation formula, we can get each receiving antenna:

[0178] ;

[0179] .

[0180] Combining the above formulas, we can know that the channel convolution process for FPGA is the process of multiplying and adding the fading coefficients of each path in the sub-channel with the delayed data.

[0181] Figure 8 FIG. 1 is a schematic diagram of the principle of the fading simulator provided by the present invention. Taking a certain sub-channel as an example, the fading simulation process is as follows: Figure 8 As shown, the delay and fading coefficients of each path are extracted from the channel coefficients sent by the software radio platform and are respectively given to the delay module and the product module in the fading simulation for processing.

[0182] The radio frequency signal simulation device provided by the present invention adopts a general software radio technology based on a high-speed bus and combines it with a high-throughput optical fiber transmission technology to realize a modular architecture of a wireless channel simulation system, thereby improving the scalability and openness of the platform, solving the problems of large bandwidth and full switching simulation, and meeting the customization requirements in different scenarios.

[0183] As an optional embodiment, the channel coefficient generation platform is deployed in a cloud server, a ray tracing simulation module is also deployed in the cloud server, and the ray tracing simulation module is loaded with a ray tracing three-dimensional model;

[0184] The ray tracing three-dimensional model is generated by modeling the scene based on the electronic map provided by the road test file, equating the propagation process of electromagnetic waves to ray propagation, and simulating the behavior of electromagnetic waves of different frequency bands and bandwidths on each propagation path;

[0185] Inputting configuration parameters received through the basic configuration interface, the map configuration interface, the antenna configuration interface, the cell configuration interface and the simulation calculation interface into the ray tracing three-dimensional model, and obtaining a path loss file output by the ray tracing three-dimensional model;

[0186] The path loss file at least includes a channel impulse response matrix, and the channel impulse response matrix includes channel impulse response coefficients of each sub-channel.

[0187] The deterministic model of radio wave propagation is a formula derived from the Maxwell equations based on strict electromagnetic theory. According to the initial conditions and boundary conditions of radio wave propagation, solving these formulas can obtain the radio wave propagation characteristics on the propagation path. The initial conditions are determined by the emission source and are generally relatively fixed, while the boundary conditions are determined by the shape and electromagnetic characteristics of the interface between the propagation medium and the surface, and usually vary with the propagation environment.

[0188] The present invention takes into account that when radio waves with very high frequency, i.e. very short wavelength (the wavelength is much smaller than the spatial variation of the medium and the minimum linear dimension of the scatterer) propagate in an isotropic, inhomogeneous medium (e.g. air), the process of radio wave propagation can be equivalent to the reflection path, scattering path and diffraction path formed by discrete rays (straight lines) on the plane interface.

[0189] In view of this, the present invention adopts the method of converting radio waves into rays to realize ray tracing, equating the abstract radio wave propagation to intuitive rays, accurately considering various propagation paths of electromagnetic waves, including direct radiation, reflection, diffraction, transmission, etc., as well as various factors affecting radio wave propagation, accurately and efficiently characterizing the unique propagation mechanism and multipath channel characteristics of complex environments for different specific scenarios. Multimodal simulation data intelligent technology based on Geographic Information System (GIS) and Building Information Modeling (BIM) and complex material parameter library, including automatic acquisition and loading of simulation format of GIS data, lightweight and simulation format conversion of building information model data, etc. Construct three-dimensional spatial data with appropriate accuracy, mainly including: height information (Heights), clutter information / obstacles (Clutter), building raster data (Building Raster), building vector data (Building Vector), vector data (Vector), text information (Text), etc. The system automatically cleans and processes irrelevant, invalid, redundant non-correlated data, automatically intercepts key contents such as cross-sections and surfaces related to simulation calculations in building information model data, and assigns electromagnetic parameters. It can automatically clean and convert 3D data sources in dozens of different formats, such as GLTF, IFC, 3D TILE, OBJ, etc., and provide generalized application capabilities and accurate data foundation for ray tracing.

[0190] This change can provide accurate channel information such as power, delay, angle, polarization, etc., which is suitable for the simulation, prediction and modeling of time-varying multi-antenna channels in different frequency bands.

[0191] As an optional embodiment, the radio frequency signal simulation device provided by the present invention includes a ray tracing simulation module which can be used in typical wireless communication scenarios, wherein outdoor scenarios support simulation of undulating terrain in urban areas, suburbs, and mountainous areas.

[0192] Fig. 9 FIG. 1 is a schematic diagram of the design principle of the ray tracing simulation module provided by the present invention. Fig. 9 As shown, the present invention provides an execution process of a ray tracing simulation module, which mainly includes but is not limited to:

[0193] Import the PLANET electronic map from the interface and convert it into a structure definition for ray tracing recognition. Support multi-frequency simulation of all frequency bands below 6GHz and different bandwidths, direct reflection, Fresnel reflection, Deygout diffraction, outdoor to outdoor (O2O) transmission, outdoor to indoor (O2I) transmission, ground loss and self-loss models.

[0194] For different types of antennas, 2D antennas are represented by directional gain in the HV plane, and the 3D model can be restored based on the interpolation formula specified by the antenna supplier or enterprise standard. 3D antennas are represented by two-dimensional arrays and can be used directly without interpolation and reconstruction.

[0195] Users can modify and edit the parameters of all propagation models according to their own requirements, including dielectric constant, diffraction coefficient, outdoor to indoor penetration loss coefficient, ground loss and self-loss model parameters; they can switch the propagation model and its parameters adaptively. According to the characteristics of the ground environment around the community, such as building density, drastic changes in terrain, base station height, user height and other conditions, the propagation model switch is jointly determined, including the switch of all the models mentioned above and the number of reflections.

[0196] The program executed by the ray tracing simulation module is mainly divided into the ray tracing model simulation part and the correction part. Among them, the interfaces of the simulation part are mainly divided into five categories: basic configuration interface, map configuration interface, antenna configuration interface, cell configuration interface and simulation calculation interface, and the correction part is divided into four categories: map configuration interface, data input interface, correction result output interface and basic configuration interface. Each interface adopts standardized interface integration, loading and calling.

[0197] The radio frequency signal simulation device provided by the present invention and the high-performance ray tracing simulation technology directly affect the richness of the simulation library of special environments, can improve the accuracy of the electromagnetic wave propagation path, and effectively characterize the accuracy and efficiency of specific scenarios.

[0198] Based on the content of the above embodiment, as an optional embodiment, the radio frequency signal simulation device provided by the present invention also includes an integrated interference and channel acquisition and storage unit;

[0199] The integrated interference and channel acquisition and storage unit acquires the digital baseband signal during the generation process of the target radio frequency signal, and marks a timestamp and a position stamp for each of the digital baseband signals;

[0200] The digital baseband signal marked with the timestamp and the position stamp is stored in a disk array.

[0201] The integrated interference and channel acquisition and storage unit provided by the present invention can realize the integration of acquisition, storage, extraction and modeling of wireless interference and channel propagation characteristics in complex electromagnetic environments.

[0202] Based on the stored data, advanced signal processing technology is used to extract the interference signal, including but not limited to the use of noise elimination methods based on neural networks to effectively suppress background noise and highlight the characteristics of the interference signal.

[0203] At the same time, the signal is clustered through data mining and clustering algorithms to capture the main signal components in a complex multipath environment. The multi-dimensional joint statistical modeling method based on signal clusters can accurately model the time-frequency-space characteristics of signal clusters. This modeling method not only considers the spectrum and time characteristics of the signal, but also the spatial distribution characteristics of the signal, so that it can more accurately describe the signal propagation characteristics in a complex electromagnetic environment.

[0204] The random fast-changing scenarios and signal wave identification using support vector classification (SVC) and support vector regression (SVR) can achieve more than 99% real-time identification accuracy for a variety of typical propagation scenarios and millisecond-level estimation of signal wave direction and spatial dispersion. It can meet the needs of accurate characterization of wireless interference and signal propagation characteristics for mixed transmission links in complex electromagnetic environments such as missile-borne, airborne, ship-borne, air-ground-sea, etc.

[0205] Fig.10 Schematic diagram of the system principle of the complex electromagnetic simulator provided by the present invention. Fig.10 As shown, the integrated interference and channel storage technology that can be achieved based on the integrated interference and channel storage unit of the present invention can effectively preserve channel characteristics, reduce the error impact caused by separate equipment through highly integrated integrated acquisition, improve signal fidelity, and enhance the accuracy of multi-dimensional joint modeling of signal clusters, and improve the accuracy of the time-frequency-space characteristics of modeled signal clusters.

[0206] As an optional embodiment, the radio frequency signal simulation device, while collecting the digital baseband signal in the process of generating the target radio frequency signal, intercepts a certain length of the digital baseband signal and sends it to the channel coefficient generation platform, so as to perform spectrum power analysis and channel parameter analysis on the digital baseband signal through the channel coefficient generation platform to obtain the analysis result;

[0207] The analysis results include one or more of path loss, shadow fading, channel impulse response, channel power delay, channel delay spread, and channel Doppler shift / spread.

[0208] The present invention uses an integrated interference and channel acquisition and storage unit to perform complex electromagnetic environment data acquisition and storage, which mainly includes two parts: high-throughput data streaming to disk and measurement result monitoring and analysis. The former is used to stream the collected data in real time and in large capacity for subsequent offline analysis, and the latter is used to observe the system status during the measurement process to ensure that the acquisition and storage are executed smoothly and accurately.

[0209] The high-throughput data streaming function mainly includes: using the intermediate frequency digitizer to obtain the digital baseband signal in the process of generating the target RF signal, and obtaining the time information and location information from the Global Positioning System (GPS) module, and storing the time information and location information as the timestamp and location stamp of the digital baseband signal.

[0210] Fig.11 Schematic diagram of the principle of the integrated interference and channel acquisition unit provided by the present invention, such as Fig.11 As shown in the figure, during the measurement, the RF receiver converts the RF signal to baseband and then divides it into two paths. One path of data (digital baseband signal) is completely streamed to the disk array for real-time storage for all data offline processing and analysis. The other digital baseband signal is cut to a specific length and transmitted to the main controller for real-time spectrum power analysis and channel parameter analysis for real-time monitoring of the test status.

[0211] The measurement result monitoring is mainly used to perform status observation of RF signal simulation devices and preliminary analysis of channel information. It is mainly to estimate the channel transfer function in the frequency domain by performing Fast Fourier Transform (FFT) transformation on the intercepted digital baseband signal and comparing it with the known transmitted signal, and to calculate the channel impulse response by frequency domain windowing and inverse Fourier transform. The channel power delay profile (PDP), delay spread, Doppler shift / spread and other information can be obtained through the channel impulse response.

[0212] At the same time, after obtaining the signal spectrum power through FFT, the known transmission power is used to analyze and calculate channel characteristics such as path loss and shadow fading.

[0213] The radio frequency signal simulation device provided by the present invention adopts a system architecture that combines high-performance cloud platform computing with real-time multi-channel wireless channel simulation to solve the problems of massive measured data storage, online analysis and real-time high-performance computing, and supports measured data playback and ray tracing modeling, thereby solving the difficult problems of long-term channel and interference simulation, high-accuracy ray tracing simulation modeling and multi-scenario dynamic simulation.

[0214] Based on the contents of the above embodiments, as an optional embodiment, the user control unit provided by the present invention mainly includes: a user UI interface, a system configuration module, a communication interface module, a scenario modeling module and a link parameter configuration module.

[0215] Fig.12 Schematic diagram of the principle of the user control unit provided by the present invention, such as Fig.12 As shown in the figure, the main task of the user control unit is to provide users with an environment for simulation parameter configuration and process control, to set up and use the simulator in a visual or simple way, and to send the configuration information to the corresponding unit. It mainly includes user UI interface, system configuration module, communication interface module, scene modeling and link parameter configuration, among which scene modeling and link parameter configuration provide input channels for supporting ray tracing channel modeling to participate in simulation. The working scheme of each module is described as follows:

[0216] The user UI interface is used to provide parameter configurable options in the simplest and most direct form, prompt error messages for inputs that exceed the valid range, and display information on whether the configuration is successful; it provides control configuration functions such as mode and process to realize the simulator operation interface.

[0217] The system configuration module is used to specify the parameter content classification method and data conversion packaging method. The input parameters are processed according to this rule and divided into two parts of data for packaging.

[0218] The communication interface module is used to provide interaction functions with other units in the system. The underlying layer adopts the User Datagram Protocol (UDP), and the interface is implemented through an encapsulated Windows-based Board Support Package (BSP) interaction module.

[0219] Scene modeling is used to establish a three-dimensional geometric model of a real scene or a virtual scene. The geometric model should cover as much information as possible in the scene, such as geographical environment features, buildings, and related material parameters.

[0220] Link parameter configuration is used to set antenna parameters, transceiver location, frequency, reasonable propagation mechanism and other information. After loading the scenario information, the configuration file is generated.

[0221] In summary, the user inputs configuration through the user UI interface and sets the relevant parameters of the size scale according to the simulation requirements. After the configuration is completed, data classification processing is first performed in the system configuration module, and then transmitted to the corresponding units (channel coefficient generation unit and signal processing unit) through the network through the communication interface module.

[0222] Among them, multipath information such as multipath sequence number, delay, Doppler type, maximum Doppler frequency shift, Doppler frequency shift type and period and other parameters are sent to the channel coefficient generation unit to trigger the calculation task; center frequency, input and output power levels, noise and interference, simulation control and other information are sent to the signal processing unit for subsequent processing.

[0223] The status of some simulators can be modified while the simulator is running. For example, the output level can be modified, that is, the attenuation value can be controlled. However, for parameters such as the center frequency and whether noise is added, it is required to stop the current simulation first and then restart the simulation after the parameters are modified.

[0224] In a working mode compatible with the ray tracing channel modeling method, in the user control unit, use three-dimensional modeling software to finely construct a channel scene model; characterize the electromagnetic characteristics of each structure in the scene based on the radio wave propagation theory, and use electromagnetic numerical calculation methods to model the material model; use electromagnetic field simulation software to model the transceiver antenna model; use data processing tools to integrate these three model files and information such as carrier frequency, bandwidth, transceiver location, and propagation mechanism to form a complete simulation configuration file for calculation by the channel coefficient generation unit.

[0225] As an optional embodiment, the user UI interface mainly includes four parts: a tool bar, a simulation editing window, a status display window, and a parameter input and display window.

[0226] The toolbar mainly provides three types of tools:

[0227] (1) File operation tools, such as New, Open, Save, Save As, etc., are mainly used to manage simulation files.

[0228] (2) Simulation editing tools, such as edit, connect, delete, etc., are used to edit and control the model in the simulation editing window.

[0229] (3) Simulation control tools, such as start, pause, stop, exit, state switching, etc., are used to control the simulation state and system. The simulation editing window is used to create simulation models to control the simulation mode of RF signal simulation, such as how many channels are required, whether to turn on MIMO mode, etc. These are all represented by the connection method of input, channel and output modules. The status display window is used to observe the operating status of the device in real time, such as whether there is an alarm, whether the FIFO overflows, and error prompts.

[0230] The parameter input and display window is mainly used for inputting and displaying the configuration parameters of the RF signal simulation device, including four panels: simulation settings, input settings, channel settings, and output settings. The displayed panel can be selected in the simulation editing window. The main parameters include center frequency, reference level, input power, channel model, output gain, and the name of the vector signal source and generator, etc. At the same time, it can control whether to add shadow fading, noise and interference.

[0231] In the channel setting panel, in addition to setting the general parameters of the channel model such as carrier frequency, sample density, moving speed, etc., the most important thing is to select the model type and set the corresponding parameters. The models that can be selected include correlation model, file model, tapped delay line (TDL) model and WINNER model.

[0232] After selecting the model, click the "Edit" button to pop up the corresponding parameter input window. The relevant model mainly refers to the I-METRA model. The input parameters include the correlation matrix and correlation type of the input antenna and output antenna.

[0233] The file model is imported in the form of a channel impulse response matrix file, so the channel model generated by third-party software can be simulated.

[0234] The input parameters of the TDL model mainly include the number of paths, the time delay of each path, the average amplitude and the fading type, etc. The fading type consists of amplitude distribution and Doppler spectrum. The amplitude distribution mainly includes Rayleigh distribution, Rice distribution, logarithmic distribution, etc. The Doppler spectrum mainly includes Jakes spectrum, flat spectrum, Laplace spectrum, Gaussian spectrum, etc.

[0235] The input parameters of the WINNER model mainly include the base station, mobile station location and antenna height, as well as the distance between the two.

[0236] Fig.13 The overall block diagram of the complex electromagnetic simulator provided by the present invention is as follows. Fig.13 As shown, the technical effects of the radio frequency signal simulation device provided by the present invention as a complex electromagnetic simulator are summarized, which are mainly manifested in the following aspects:

[0237] (1) Intelligent fusion of wireless interference and channel collection, storage, analysis, and modeling is used to solve the problem of lack of electromagnetic environment simulation models.

[0238] Currently, commercial standardized channel simulators are mainly used for public mobile communications, using standard models from organizations such as 3gpp, IEEE, and ITU for channel simulation. The generation of such standard models relies on the output of results from many units in the civilian wireless communication industry chain, including some typical communication equipment manufacturers and wireless channel research teams from many universities and research institutes around the world. In the field, users of channel simulators are often not experts in channels or even wireless communications, and have little research on wireless interference and channels. In addition, research results are often not made public, and the scenarios are quite different from civilian communications, resulting in a lack of accurate and usable models for wireless interference and channel simulation in these scenarios.

[0239] The present invention innovatively integrates the collection, storage, analysis and modeling of wireless interference and channels with a general hardware structure and intelligent algorithms, and delivers the whole machine in a convenient and easy-to-use manner. Users can complete the measurement of wireless interference and channels of the scenarios of concern and the final parameter extraction and modeling by instrument operation without any experience in channel research, and quickly implant a channel simulator to complete the test and evaluation of the equipment.

[0240] (2) Adopting hybrid links of air, land, and sea, accurate modeling of cross-medium radio wave propagation can be achieved to solve the problem of lack of measured data and accurate models in special scenarios.

[0241] Millimeter-wave radar detection and wireless communication scenarios span a wide range, covering special extreme scenarios such as the sky, airspace, and sea. It is difficult and costly to conduct field tests in the above scenarios, and the current theoretical models have poor accuracy.

[0242] To this end, the present invention adopts a hybrid channel modeling method with deterministic characterization of channel dominant components, space-time randomness of multipath components, and flexible clustering, combining the advantages of statistical modeling and deterministic modeling. It can not only realize the joint characterization of space-time randomness, spatial consistency, and frequency dispersion of millimeter-wave ultra-wideband channels in certain scenarios, but also can be flexibly coupled with multiple antennas to realize fine-grained and precise modeling, thereby obtaining accurate models in scenarios such as sky-ground, air-ground, air-air, sea-air, land-sea, and star-ground.

[0243] The above technical features allow researchers to quickly generate a large amount of wireless channel and interference data in real and reliable scenarios without having to conduct expensive and complex channel measurements or have an in-depth understanding of ray tracing and millimeter wave propagation, solving the problem of difficult on-site measurements.

[0244] (3) Real-time simulation of full-band, fully switched, ultra-large bandwidth virtual phased arrays to solve problems such as complex interference types, large simulation bandwidth, and a large number of array antennas.

[0245] In civil scenarios, electromagnetic interference is largely avoided due to strict management. Therefore, in civil channel simulation, interference types often only cover typical co-frequency, adjacent frequency, cross-modulation, intermodulation, etc. However, in the scenario, most interference is artificially generated, including suppression, induction, aiming frequency, sweeping frequency, pulse train, AM noise, FM noise, RF noise, comb spectrum and other interference types.

[0246] To this end, the present invention focuses on interference simulation, utilizes the high-speed backplane bus, and can take advantage of the X86 CPU's advantages in storage, communication and system control to open up a high-speed data channel with the FPGA, and uses internal generation and measured data playback to complete interference simulation, thereby realizing internal generation and switching interference in the full frequency band.

[0247] In addition, current advanced radar detection has expanded from the original hundreds of megabits of bandwidth to thousands of megabits of bandwidth, and has adopted large-scale phased array technology to expand the antenna array elements to hundreds or thousands of orders of magnitude, but current commercial channel simulations are difficult to meet the above requirements.

[0248] Therefore, the present invention utilizes the latest hardware platform and adopts a multi-stage pipeline parallel architecture to solve the problem of ultra-large bandwidth signal processing.

[0249] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0250] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0251] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A radio frequency signal simulation device, characterized in that: Includes fully connected channel simulation module; The fully connected channel simulation module includes a user control unit arranged on a user control platform, a channel coefficient generation unit arranged on a channel coefficient generation platform, and a signal processing unit arranged on a software radio platform; Wherein, the user control unit performs signal simulation control and configuration parameters, and the configuration parameters include configuration of model parameters and hardware configuration parameters; The channel coefficient generating unit generates a channel impulse response matrix according to the configuration parameters input by the user control unit, and splits the channel impulse response matrix into channel impulse response coefficients of each sub-channel; The signal processing unit performs fading simulation processing on the input signal according to the channel impulse response coefficient and outputs a target radio frequency signal; The channel coefficient generation platform is deployed on a cloud server, a ray tracing simulation module is also deployed on the cloud server, and a ray tracing three-dimensional model is loaded in the ray tracing simulation module; The ray tracing three-dimensional model is generated by modeling the scene based on the electronic map provided by the road test file, equating the propagation process of electromagnetic waves to ray propagation, and simulating the behavior of electromagnetic waves of different frequency bands and bandwidths on each propagation path; Inputting configuration parameters received through the basic configuration interface, the map configuration interface, the antenna configuration interface, the cell configuration interface and the simulation calculation interface into the ray tracing three-dimensional model, and obtaining a path loss file output by the ray tracing three-dimensional model; The path loss file at least includes a channel impulse response matrix, and the channel impulse response matrix includes channel impulse response coefficients of each sub-channel.

2. The radio frequency signal simulation device according to claim 1, characterized in that: The signal processing unit includes a radio frequency baseband conversion module, a fading simulator, and a baseband radio frequency conversion module; the radio frequency baseband conversion module includes a down converter and an analog-to-digital converter, and the baseband radio frequency conversion module includes a digital-to-analog converter and an up converter; The down converter mixes the input signal with a local oscillator input signal and outputs an analog baseband signal; The analog-to-digital converter receives the analog baseband signal and outputs a digital baseband signal; The fading simulator performs fading simulation processing on the digital baseband signal and outputs a fading digital baseband signal; The digital-to-analog converter receives the faded digital baseband signal and outputs a faded analog baseband signal; The up-converter up-converts the faded analog baseband signal to a target frequency to obtain the target radio frequency signal; the target frequency is the frequency of the target radio frequency signal.

3. The radio frequency signal simulation device according to claim 2, characterized in that: The up-converter up-converts the faded analog baseband signal to a target frequency, comprising: The fading analog baseband signal is mixed with the sixth local oscillator signal through a fifth mixing module to obtain a first frequency signal, the IQ baseband signal is mixed with the fifth local oscillator signal through an IQ modulation module to obtain a second frequency signal, and the first frequency signal and the second frequency signal are combined into a third frequency signal; The third frequency signal is mixed with the first local oscillation signal by the first mixing module to obtain a fourth frequency signal; The fourth frequency signal is mixed with the second local oscillation signal by a second mixing module to obtain a fifth frequency signal; The fifth frequency signal is filtered and amplified and then divided into two paths, and one of the fifth frequency signals is mixed with the third local oscillation signal by a third mixing module to obtain a sixth frequency signal and a seventh frequency signal; Combining the sixth frequency signal with another channel of the fifth frequency signal to obtain an eighth frequency signal; The eighth frequency signal is divided into two paths, and one of the eighth frequency signals is mixed with the fourth local oscillation signal by a fourth mixing module to obtain a ninth frequency signal; After the seventh frequency signal, the ninth frequency signal and another channel of the eighth frequency signal are synthesized into one channel, the target radio frequency signal is output through an attenuator.

4. The radio frequency signal simulation device according to claim 3, characterized in that: The third frequency signal is a 4.8 GHz signal, the first local oscillator signal is a 28.4 GHz signal, the fourth frequency signal is a 23.6±2 GHz signal, the second local oscillator signal is a 23.9~43.6 GHz signal, and the fifth frequency signal is a 0.3~20 GHz signal; The sixth frequency signal corresponding to the 28 GHz signal, the 35.2 GHz signal, the 41.6 GHz signal and the 48 GHz signal included in the third local oscillator signal is a 16-54 GHz signal, and the seventh frequency signal is a 46-54 GHz signal; The eighth frequency signal is a 0.3-50 GHz signal, the ninth frequency signal is a 50-67 GHz signal, and the target RF signal is a 0.3-67 GHz signal.

5. The radio frequency signal simulation device according to claim 3, characterized in that: The down converter mixes the input signal with a local oscillator input signal and outputs an analog baseband signal, including: After the input signal is power-enhanced by the attenuator, it is input into the microwave switch module and divided into a tenth frequency signal, an eleventh frequency signal and a twelfth frequency signal; After mixing the eleventh frequency signal with the fourth local oscillation signal through the fourth mixing module to obtain a thirteenth frequency signal, the thirteenth frequency signal and the twelfth frequency signal are combined to obtain a fourteenth frequency signal; The tenth frequency signal is mixed with the third local oscillation signal by a third mixing module to obtain a fifteenth frequency signal; The fourteenth frequency signal, the fifteenth frequency signal and the second local oscillation signal are mixed by a second mixing module to obtain a sixteenth frequency signal; The sixteenth frequency signal is mixed with the first local oscillation signal by a first mixing module to obtain a seventeenth frequency signal; The seventeenth frequency signal is mixed with the fifth local oscillation signal by a fifth mixing module to obtain the analog baseband signal.

6. The radio frequency signal simulation device according to claim 5, characterized in that: The local oscillator input signal is a 0.3~67GHz signal, the tenth frequency signal is a 16~54GHz signal, the eleventh frequency signal is a 50~67GHz signal, the twelfth frequency signal is a 0.3~20GHz signal, the thirteenth frequency signal is a 2~19GHz signal, the fifteenth frequency signal is a 2~20GHz signal, the sixteenth frequency signal is a 23.6GHz signal, the seventeenth frequency signal is a 4.8GHz signal, and the analog baseband signal is a 1.2GHz signal.

7. The radio frequency signal simulation device according to any one of claims 2 to 6, characterized in that: The signal processing unit further includes a local oscillator distribution unit, which includes a reference source branching module and a first local oscillator module, a second local oscillator module, a third local oscillator module, a fourth local oscillator module, a fifth local oscillator module and a sixth local oscillator module; The reference source branching module controls at least one of the first local oscillator module, the second local oscillator module, the third local oscillator module, the fourth local oscillator module, the fifth local oscillator module and the sixth local oscillator module to output a corresponding local oscillator signal according to the input reference signal; The reference signal is a 10 MHz OCXO signal.

8. The radio frequency signal simulation device according to claim 7, characterized in that: The signal processing unit performs fading simulation processing on the input signal according to the channel impulse response coefficient and outputs a target radio frequency signal, including: The signal processing unit inputs the channel impulse response coefficient to the fading simulator in the signal processing unit, The fading simulator performs fading simulation processing on the digital baseband signal according to the channel impulse response coefficient to obtain a fading digital baseband signal; The target radio frequency signal is obtained by performing digital-to-analog conversion on the faded digital baseband signal and then up-converting the signal.

9. The radio frequency signal simulation device according to claim 1, characterized in that: It also includes an integrated interference and channel acquisition unit; The integrated interference and channel acquisition and storage unit acquires the digital baseband signal during the generation process of the target radio frequency signal, and marks a timestamp and a position stamp for each of the digital baseband signals; The digital baseband signal marked with the timestamp and the position stamp is stored in a disk array.

10. The radio frequency signal simulation device according to claim 9, characterized in that: While collecting the digital baseband signal in the process of generating the target radio frequency signal, intercepting a certain length of the digital baseband signal and sending it to the channel coefficient generation platform, so as to perform spectrum power analysis and channel parameter analysis on the digital baseband signal through the channel coefficient generation platform to obtain analysis results; The analysis results include one or more of path loss, shadow fading, channel impulse response, channel power delay, channel delay spread, and channel Doppler shift / spread.

11. The radio frequency signal simulation device according to claim 1, characterized in that: The user control unit includes a user UI interface, a system configuration module, a communication interface module, a scene modeling module and a link parameter configuration module.

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