CN113950091A - Radio communication performance evaluation method under complex electromagnetic environment - Google Patents
Radio communication performance evaluation method under complex electromagnetic environment Download PDFInfo
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Abstract
The invention relates to a radio communication performance evaluation method under a complex electromagnetic environment, belonging to the technical field of wireless communication; the system comprises wireless channel simulation equipment, radio communication anti-interference equipment, background signal generation equipment, scene planning situation display equipment and radio communication performance evaluation equipment; the method has the advantages of low cost and repeated testing, can also carry out limit testing, can carry out various environment and scene tests by utilizing the database provided by software, and evaluates the performance result of multi-sample information. The method overcomes the difficulty of complex hardware design and software algorithm, constructs a wireless channel propagation model which accords with the international communication standard and is suitable for various communication scenes, and provides a new thought for the performance evaluation of the radio communication equipment under the complex electromagnetic environment, wherein the simulated dynamic wireless channel is close to the actual scene.
Description
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to a method for evaluating the performance of radio communication in a complex electromagnetic environment.
Background
With the development of the times, the number of electromagnetic radiation sources is rapidly increased, and the electromagnetic environment becomes more and more complex, so that the electronic information system with electromagnetic sensitivity is more and more seriously influenced by the complex electromagnetic environment, and the influence becomes more and more harmful along with the wide use of the electronic information system and the increasing dependence degree of people on the electronic information system. This hazard is particularly pronounced in the military field. Military electromagnetic radiators such as various radars, communication, navigation, friend or foe identification, electronic warfare equipment and the like have increasingly high power, the quantity of the military electromagnetic radiators is multiplied, the frequency spectrum is increasingly wide, and the electromagnetic environment of a battlefield is increasingly complicated due to the appearance of directional energy weapons such as high-power microwave weapons, electromagnetic pulse bombs, ultra-wideband and strong electromagnetic radiation jammers.
With the continuous development of communication technology, communication modes have changed greatly, and compared with wired communication, radio communication is more easily interfered by the outside world due to being in a complex electromagnetic environment, so that the problem of safe and reliable transmission caused by the interference is paid more and more attention by many people. Network infrastructures such as traditional cellular base stations and communication equipment are very fragile and are very easy to damage in natural disasters such as earthquakes, typhoons, hails and the like, communication between a disaster area and the outside is interrupted, and rapid rescue aiming at the disaster area is hindered. Under the emergency communication scene, how to rapidly deploy a communication network and recover a disaster area communication link and the like are very important. In the military field, the wireless communication mode is mainly used, information is transmitted by means of radio waves, and the method has the advantages of good fluidity and quick construction. However, military communication is easily affected by complex geographic environments and is easily attacked by electromagnetic radiation interference, so that signals are interfered or intercepted by illegal users, and therefore, the improvement of the communication and anti-interference performance of radio communication equipment in the complex electromagnetic environments is of great significance for improving the quality and safety of the military communication.
Therefore, at present, a method for evaluating radio communication performance in a complex electromagnetic environment needs to be designed to solve the above problems.
Disclosure of Invention
The invention aims to provide a radio communication performance evaluation method under a complex electromagnetic environment, which is used for solving the technical problems in the prior art, such as: radio communication is more susceptible to external interference due to its complex electromagnetic environment, and the problem of secure and reliable transmission caused by the interference is receiving more and more attention. Network infrastructures such as traditional cellular base stations and communication equipment are very fragile and are very easy to damage in natural disasters such as earthquakes, typhoons, hails and the like, communication between a disaster area and the outside is interrupted, and rapid rescue aiming at the disaster area is hindered. Military communications are vulnerable to complex geographical environments and electromagnetic radiation interference, resulting in signals that are interfered or intercepted by illegal users.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a radio communication performance evaluation method under a complex electromagnetic environment comprises the following steps:
s1 envisages generation: according to the application scene requirements, scene planning and situation display equipment utilizes rich database scenarios to generate an operation scheme;
s2 simulation deduction: after the generation scheme is planned, the scene planning and situation display equipment selects the wireless channel propagation model which is most matched by using the generated input parameter set, performs software simulation deduction and outputs dynamic wireless channel parameters;
s3 hardware simulation: according to an application scene, the wireless channel simulation equipment establishes a channel connection topological graph, and carries out dynamic channel simulation according to output parameters generated by simulation deduction, so as to provide a dynamic channel close to an external field real environment for the tested wireless communication equipment and other testing equipment;
s4 performance evaluation: according to the application scene, the complex electromagnetic environment of various signals of the external field is restored, and the performance evaluation is carried out under the condition.
Further, step S1 includes the following sub-steps:
s11: planning a motion track on which a radio communication equipment carrier is mounted, and setting a uniform linear motion track, a circular motion track, an elliptical motion track and a user-defined motion track;
meanwhile, a geographic information database is utilized to provide longitude, latitude, altitude, speed, movement direction and topographic feature input parameters for the wireless channel propagation model;
s12: setting weather environment information of a scene, setting weather states of sunny days, rainfall and snowfall, and providing input parameters of temperature, relative humidity, air pressure, wind level and rainfall for a wireless channel propagation model;
s13: setting communication related parameters of radio communication equipment, and providing input parameters of working frequency, working bandwidth, modulation mode, coding mode and coding efficiency for a wireless channel propagation model;
s14: setting external field related parameters of the radio communication equipment, and providing antenna type, antenna gain, directional diagram and radio frequency front end gain input parameters for a wireless channel propagation model.
Further, the simulation deduction in step S2 is specifically:
(1) power conversion:
taking radio wave propagation prediction method ITU-R p.525 as an example, the power conversion is embodied in free space basic transmission loss, and the required input parameters are the operating frequency and communication distance of the radio communication device, and the calculation formula is as follows:
Lbf＝32.4+20logf+20logd
wherein L isbfIs the free space fundamental transmission loss, in dB,
f is the operating frequency of the radio communication device, in MHz,
d is a communication distance of the radio communication apparatus in km;
(2) transmission delay:
the transmission speed of the electromagnetic wave in vacuum is consistent with the light speed c, and the propagation speed in other media is reduced. For example, in the rain attenuation model, the magnitude of the rainfall directly affects the propagation speed, and further affects the transmission delay. The propagation delay is exemplified by vacuum propagation, and the required input parameter is the communication distance of the radio communication device, and the calculation formula is as follows:
wherein T isdelayWhich is the transmission delay, in units of s,
c is the speed of light 299792458 in m/s;
(3) doppler shift:
when a radio communication device is in motion for communication, the frequency of a signal at a receiving end of the radio communication device changes, which is called doppler effect, and frequency shift caused by the doppler effect is called doppler shift. The input parameters required for the doppler shift are the operating frequency and the moving speed of the radio communication device, and the calculation formula is as follows:
wherein f isdIs a doppler shift, in MHz,
v is the speed of movement of the radio communication device in m/s.
Further, step S4 includes the following sub-steps:
s41: accessing a radio communication device into a wireless channel simulation device to realize the actual working state of networking communication among multiple devices;
s42: accessing a background signal generating device into a wireless channel simulation device, and providing a background noise signal in a complex electromagnetic environment to recover the background signal in an actual scene;
s43: the radio communication interference resisting equipment is accessed into the radio channel simulation equipment, signal identification is carried out on a radio channel of a complex electromagnetic environment, electronic interference and interference are carried out on the radio communication equipment, and an interference resisting scene in an actual scene is realized;
s44: accessing radio communication performance evaluation equipment into wireless channel simulation equipment, and performing performance evaluation on the working state of the radio communication equipment in a complex electromagnetic environment;
the radio communication performance evaluation equipment outputs various two-layer/three-layer/four-layer Ethernet data packets, analyzes two-layer/three-layer/four-layer protocols of the Ethernet data packets, tests and counts packet error rate and Ethernet data packet transmission delay, and detects network throughput.
Compared with the prior art, the invention has the beneficial effects that:
the method has the advantages of low cost and repeated testing, can also carry out limit testing, can carry out various environment and scene tests by utilizing the database provided by software, and evaluates the performance result of multi-sample information. The method overcomes the difficulty of complex hardware design and software algorithm, constructs a wireless channel propagation model which accords with the international communication standard and is suitable for various communication scenes, and provides a new thought for the performance evaluation of the radio communication equipment under the complex electromagnetic environment, wherein the simulated dynamic wireless channel is close to the actual scene.
Drawings
FIG. 1 is a schematic diagram of a system architecture;
FIG. 2 is a schematic diagram of a system embodiment;
FIG. 3 is a schematic diagram of a proposed generation scheme;
FIG. 4 is a channel connection topology;
fig. 5 is a graph of performance evaluation results.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to fig. 1 to 5 of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1, a performance evaluation system for radio communication in a complex electromagnetic environment is therefore proposed.
The system mainly comprises the following parts:
wireless channel simulation equipment: for constructing a wireless channel between each radio communication device and the radio communication anti-interference device;
a radio communication device: as a target device for performance evaluation;
radio communication anti-jamming device: performing signal identification on a wireless channel in a complex electromagnetic environment, performing electronic countermeasure and interference on radio communication equipment, and simulating an actual countermeasure interference scene;
the background signal generating device: simulating a background noise signal in an actual complex electromagnetic environment;
scene planning situation display equipment: outputting a dynamic wireless channel model to the wireless channel simulation equipment according to the planned application scene of the wireless communication equipment;
radio communication performance evaluation device: a performance evaluation is performed on an operating state of the radio communication device in the dynamic wireless channel.
The working principle of the radio communication equipment performance evaluation system comprises the following flows:
imagination generation:
according to the application scene requirements, the scene planning situation display equipment utilizes rich database scenarios to generate an operation scheme:
planning the motion track of the carrier mounted with the radio communication equipment, and setting a uniform linear motion track, a circular motion track, an elliptical motion track, a user-defined motion track and the like. Meanwhile, a geographic information database of software is utilized to provide input parameters such as longitude, latitude, altitude, speed, movement direction, terrain and the like for the wireless channel propagation model;
setting climate environment information of a scene, setting climate states such as sunny days, rainfall, snowfall and the like, and providing input parameters such as temperature, relative humidity, air pressure, wind level, rainfall and the like for the wireless channel propagation model;
setting communication related parameters of radio communication equipment, and providing input parameters such as working frequency, working bandwidth, modulation mode, coding efficiency and the like for a wireless channel propagation model;
setting external field related parameters of radio communication equipment, and providing antenna type, antenna gain, directional diagram and radio frequency front end gain input parameters for a wireless channel propagation model;
simulation deduction:
after the generation scheme is planned, the scene planning situation display equipment selects the best matched wireless channel propagation model by using the generated input parameter set, performs software simulation deduction, and outputs dynamic wireless channel parameters, wherein the output parameters mainly comprise time, power change, transmission delay, Doppler frequency shift and the like.
Wherein the simulation deduction specifically comprises:
(1) power conversion:
taking radio wave propagation prediction method ITU-R p.525 as an example, the power conversion is embodied in free space basic transmission loss, and the required input parameters are the operating frequency and communication distance of the radio communication device, and the calculation formula is as follows:
Lbf＝32.4+20logf+20logd
wherein L isbfIs the free space fundamental transmission loss, in dB,
f is the operating frequency of the radio communication device, in MHz,
d is a communication distance of the radio communication apparatus in km;
(2) transmission delay:
the transmission speed of the electromagnetic wave in vacuum is consistent with the light speed c, and the propagation speed in other media is reduced. For example, in the rain attenuation model, the magnitude of the rainfall directly affects the propagation speed, and further affects the transmission delay. The propagation delay is exemplified by vacuum propagation, and the required input parameter is the communication distance of the radio communication device, and the calculation formula is as follows:
wherein T isdelayFor time delay of transmissionThe unit is s, and the unit is,
c is the speed of light 299792458 in m/s;
(3) doppler shift:
when a radio communication device is in motion for communication, the frequency of a signal at a receiving end of the radio communication device changes, which is called doppler effect, and frequency shift caused by the doppler effect is called doppler shift. The input parameters required for the doppler shift are the operating frequency and the moving speed of the radio communication device, and the calculation formula is as follows:
wherein f isdIs a doppler shift, in MHz,
v is the speed of movement of the radio communication device in m/s.
International telecommunications union ITU528 standard model: the method is suitable for propagation prediction of ground aviation business;
international telecommunications union ITU618 standard model: the method is suitable for various propagation parameters and predictions required by earth-space systems in the earth-to-air and air-to-ground directions;
international telecommunications union ITU840 standard model: the method is suitable for various propagation parameters and predictions of link attenuation caused by cloud on the ground-to-air path;
ITU standard model of other international telecommunication union, ITS standard model of the american telecommunication science association, Vogler standard model of the american naval research laboratory, etc.;
wireless channel propagation parameters generated by third-party software, such as satellite orbit generation analysis software STK and the like;
the self-collected database and the generated propagation parameters in the external field can be subjected to simulation deduction display in software, and can also be imported into wireless channel simulation equipment of the internal field for reproduction.
Hardware simulation:
according to the application scene, the wireless channel simulation equipment establishes a channel connection topological graph, and carries out dynamic channel simulation according to output parameters generated by simulation deduction, so as to provide a dynamic channel close to the real environment of an external field for the tested wireless communication equipment and other testing equipment.
Performance evaluation:
according to the application scene, the complex electromagnetic environment of various signals of the external field is restored, and the performance evaluation is carried out under the condition.
Accessing a radio communication device into a wireless channel simulation device to realize the actual working state of networking communication among multiple devices;
accessing a background signal generating device into a wireless channel simulation device, and providing a background noise signal in a complex electromagnetic environment, such as a civil mobile communication signal of 5G-NR, 4G-LTE and the like, so as to recover the background signal in an actual scene;
the radio communication interference resisting equipment is accessed into the radio channel simulation equipment, signal identification is carried out on a radio channel of a complex electromagnetic environment, electronic interference and interference are carried out on the radio communication equipment, and an interference resisting scene in an actual scene is realized;
and accessing the radio communication performance evaluation equipment into the wireless channel simulation equipment, and evaluating the performance of the radio communication equipment in the working state under the complex electromagnetic environment. The radio communication performance evaluation equipment outputs various two-layer/three-layer/four-layer Ethernet data packets, analyzes two-layer/three-layer/four-layer protocols of the Ethernet data packets, tests and counts packet error rate and Ethernet data packet transmission delay, and detects network throughput.
In the implementation, as shown in fig. 2, the system is mainly constructed by the following parts:
wireless channel simulator: the wireless channel used for constructing the unmanned aerial vehicle communication device and the communication anti-interference device is used. The technical indexes are as follows:
support 8 physical channels/32 physical channels/64 physical channels;
each port supports duplexing;
frequency range: 1.6 MHz-6 GHz, 30 MHz-6 GHz;
signal bandwidth: 40MHz, 120MHz, 500 MHz;
output signal power range: -10dBm to-120 dBm;
output signal power stepping: 0.1 dB;
input signal power range: 20dBm to-50 dBm;
time delay simulation: 60us and 1 s;
time delay simulation stepping: 0.1ns, 8.25 ns;
device inherent delay: 1.5 us;
doppler frequency shift simulation: 1.5 MHz;
supporting Doppler frequency shift transformation speed simulation (acceleration simulation);
fading channel: constant, rayleigh, rice, gaussian, double gaussian, flat, dome, etc.;
online firmware loading is supported;
unmanned aerial vehicle communication equipment: as a target device for performance evaluation. The technical indexes are as follows:
working frequency band: 70MHz to 6 GHz;
signal bandwidth: 200KHz/1MHz/5MHz/10MHz/20MHz (dual channel);
200KHz/1MHz/5MHz/10MHz/20MHz/40MHz (single channel);
physical layer waveform system: OFDM;
modulation and demodulation method: QPSK, 8PSK, 16 QAM;
channel coding and decoding method: turbo, RS + convolution/Viterbi, no coding/decoding;
channel coding and decoding efficiency: 1/2, 7/8;
frame structure length: 1ms and 10 ms;
data link layer protocol: TDMA, CSMA;
network layer routing protocol: DSDV, AODV;
supporting diversity transmission and reception;
supporting link adaptation;
supporting a frequency hopping mode;
supporting software radio cognition;
supporting voice, video, file and other service data;
communication anti-jamming device: carry out signal identification to the wireless channel of complicated electromagnetic environment, carry out electron countermeasure and interference to unmanned aerial vehicle communications facilities, simulate actual countermeasure interference scene. The functional indexes are as follows:
the method has a spectrum calculation function: the frequency spectrum and time frequency spectrum calculation and display can be carried out on the broadband acquisition signal;
possesses the broadband carrier wave detection function: the carrier in the broadband spectrum can be detected, and the center frequency, the bandwidth and the carrier-to-noise ratio of each carrier are output;
the carrier type identification function is provided: the types of continuous carriers, TDMA burst carriers, aliasing carriers, DVB-S2 carrier signals and the like can be identified;
the method has the following functions of modulation type identification: the conventional digital modulation type can be identified, including: 2FSK, BPSK, QPSK, OQPSK, pi/4 QPSK, 8PSK, 8QAM, 16APSK, etc.;
possess digital signal demodulation function: the system can demodulate a conventional digital signal and output a demodulation constellation diagram; the device can demodulate and equalize MPSK/MQAM signals and 16/32APSK signals;
possesses the burst signal analysis function: the burst signal can be analyzed and processed, including burst detection (including number, position and duty ratio), burst modulation identification, burst network station identification, burst demodulation and the like;
the method has the following functions of channel coding identification: typical satellite channel coding types can be identified, including: self-synchronizing scrambling codes, LDPC, RS, TPC, TCM, convolutional codes and the like, wherein the types are more than 48;
the method has the following functions of channel decoding: the channel decoding can be carried out on typical BCH, RS, Turbo, LDPC, TCM, TPC and convolutional codes, and the types are more than 48;
the network platform recognition function: the network platform signal types can be identified to be not less than 10, and a frame for identifying the network platform is designed to be customized, so that a user can add network platform parameters according to requirements conveniently;
vector signal source: simulating a background signal in an actual complex electromagnetic environment. The technical indexes are as follows:
the frequency range of 1.5 MHz-6 GHz/1.5 MHz-20 GHz/1.5 MHz-44 GHz;
maximum bandwidth of 1 GHz;
the number of channels: 12 channel @6GHz and 2 channel @20 GHz;
maximum storage space: 1GSample (the maximum read-write speed supports 1GHz bandwidth), 1TSample (the maximum read-write speed supports 750MHz bandwidth);
frequency hopping rate: within 15ns @ maximum bandwidth, 5us @ <6GHz, 300us @ >6 GHz;
narrow-band pulse: 30 ns;
output power: -120dBm to 0 dBm;
scene planning situation display equipment: outputting a dynamic wireless channel model to wireless channel simulation equipment according to a planned application scene of the unmanned aerial vehicle communication equipment; the functional indexes are as follows:
global three-dimensional terrain data simulation;
designing a weapon equipment model;
designing a radar equipment model;
designing a communication and command control equipment model;
designing an electronic warfare equipment model;
designing an antenna model;
target property model design
Calculating a wireless channel propagation model;
planning and performing simulation deduction;
an Ethernet analyzer: and evaluating the performance of the unmanned aerial vehicle communication equipment in the working state of the dynamic wireless channel. The functional indexes are as follows:
evaluating the throughput;
evaluating a frame loss rate;
delay test evaluation;
error frame filtering evaluation;
broadcast frame rate evaluation;
and (4) performing full-mesh evaluation.
As shown in fig. 3, the specific implementation flow is as follows:
establishing a scenario generation scheme of three unmanned aerial vehicle communication devices in scene planning and situation display software.
Planning the blue side has three unmanned aerial vehicle to carry unmanned aerial vehicle communication equipment according to the oval movement orbit and organizes network communication in certain region, and the red side has an interference plane to carry out the interference countermeasure to three unmanned aerial vehicle with another oval movement orbit in this region of interference plane carry out the interference countermeasure. The white square is a background signal generation vehicle which emits a background noise signal in a static state. And parameters such as longitude, latitude, altitude, speed, movement direction, terrain and the like are generated through a geographic information database of the software. Setting the climate environment to be sunny, setting the temperature to be 25 ℃, the relative humidity to be 70% and the air pressure to be 101.325 kPa;
and setting a central frequency point 2120MHz and a bandwidth 20MHz of the unmanned aerial vehicle communication equipment. And setting the antenna type as an omnidirectional antenna and antenna gain of 0dBi, and leading in an actual directional diagram. Setting the power of a radio frequency front-end power amplifier to be 20W, and setting the gain of a low-noise amplifier to be 25 dB;
and performing simulation deduction and wireless channel propagation parameter calculation based on a planned generation scheme in scene planning and situation display software. Because the unmanned aerial vehicles and the jammers are in air-to-air communication, wireless channel propagation parameter calculation is carried out based on the ITU528 standard, and wireless channel parameter sets of time, power, time delay and frequency offset are generated;
and (3) establishing a channel connection topological graph of the wireless channel instrument, as shown in fig. 4, establishing wireless channels between the unmanned aerial vehicles and the jammers, and establishing wireless channels between the background signal generation vehicle and the unmanned aerial vehicles and between the background signal generation vehicle and the jammers. And importing the wireless channel parameter set generated by the scene planning and situation showing software into a corresponding wireless channel, and starting dynamic channel simulation. The wireless channel instrument has a central frequency point of 2120MHz and a bandwidth of 120 MHz;
the unmanned aerial vehicle communication equipment is accessed into the wireless channel instrument, and networking communication is carried out by using a central frequency point 2120MHz and a bandwidth of 20 MHz;
the vector signal source is accessed into the wireless channel instrument and outputs a 5G-NR background noise signal at a central frequency point of 2120MHz and a bandwidth of 10 MHz;
the communication interference resisting equipment is accessed into the wireless channel instrument, performs signal identification on the unmanned aerial vehicle communication network, and outputs a narrow-band interference signal with the bandwidth of 1MHz and a wide-band interference signal with the bandwidth of 20MHz after identifying a demodulation mode;
the Ethernet analyzer is connected with the unmanned aerial vehicle communication equipment 2 and the unmanned aerial vehicle communication equipment 3 through the internet access, generates a known Ethernet data packet and sends the known Ethernet data packet to the unmanned aerial vehicle communication equipment 2, the unmanned aerial vehicle communication equipment 2 transmits the data to the unmanned aerial vehicle communication equipment 3 through a dynamic wireless channel link, the Ethernet analyzer receives and analyzes the Ethernet data packet through the unmanned aerial vehicle communication equipment 3, and performance states such as throughput, frame loss rate, network delay and the like are evaluated;
TABLE 1 scheme Performance evaluation results data sheet
| Application scenarios | Throughput capacity | Frame loss rate | Network latency |
| Normal communication | 9.6 |
0％ | 157.6us |
| Narrow-band interference | 9.1Mbps | 5.2％ | 157.6us |
| Broadband interference | 0Mbps | 100％ | Without data |
Table 1 is a data table of performance evaluation results of the present solution, where both throughput and frame loss rate of a communication link are degraded under the condition of narrowband interference, and the communication link is disconnected and cannot communicate under the condition of wideband interference. As shown in fig. 5, according to the comparison of the test results, it is proved that the scheme can realize the radio communication performance evaluation in the complex electromagnetic environment.
The above are preferred embodiments of the present invention, and all changes made according to the technical scheme of the present invention that produce functional effects do not exceed the scope of the technical scheme of the present invention belong to the protection scope of the present invention.
Claims (4)
1. A method for evaluating radio communication performance in a complex electromagnetic environment is characterized by comprising the following steps:
s1 envisages generation: according to the application scene requirements, scene planning and situation display equipment utilizes rich database scenarios to generate an operation scheme;
s2 simulation deduction: after the generation scheme is planned, the scene planning and situation display equipment selects the wireless channel propagation model which is most matched by using the generated input parameter set, performs software simulation deduction and outputs dynamic wireless channel parameters;
s3 hardware simulation: according to an application scene, the wireless channel simulation equipment establishes a channel connection topological graph, and carries out dynamic channel simulation according to output parameters generated by simulation deduction, so as to provide a dynamic channel close to an external field real environment for the tested wireless communication equipment and other testing equipment;
s4 performance evaluation: according to the application scene, the complex electromagnetic environment of various signals of the external field is restored, and the performance evaluation is carried out under the condition.
2. The method for evaluating radio communication performance in a complex electromagnetic environment as claimed in claim 1, wherein the step S1 includes the sub-steps of:
s11: planning a motion track on which a radio communication equipment carrier is mounted, and setting a uniform linear motion track, a circular motion track, an elliptical motion track and a user-defined motion track;
meanwhile, a geographic information database is utilized to provide longitude, latitude, altitude, speed, movement direction and topographic feature input parameters for the wireless channel propagation model;
s12: setting weather environment information of a scene, setting weather states of sunny days, rainfall and snowfall, and providing input parameters of temperature, relative humidity, air pressure, wind level and rainfall for a wireless channel propagation model;
s13: setting communication related parameters of radio communication equipment, and providing input parameters of working frequency, working bandwidth, modulation mode, coding mode and coding efficiency for a wireless channel propagation model;
s14: setting external field related parameters of the radio communication equipment, and providing antenna type, antenna gain, directional diagram and radio frequency front end gain input parameters for a wireless channel propagation model.
3. The method for evaluating radio communication performance in a complex electromagnetic environment as claimed in claim 2, wherein the simulation deduction in step S2 is specifically:
(1) power conversion:
taking radio wave propagation prediction method ITU-R p.525 as an example, the power conversion is embodied in free space basic transmission loss, and the required input parameters are the operating frequency and communication distance of the radio communication device, and the calculation formula is as follows:
Lbf＝32.4+20logf+20logd
wherein L isbfIs the free space fundamental transmission loss, in dB,
f is the operating frequency of the radio communication device, in MHz,
d is a communication distance of the radio communication apparatus in km;
(2) transmission delay:
the transmission speed of the electromagnetic wave in vacuum is consistent with the light speed c, and the propagation speed in other media is reduced. For example, in the rain attenuation model, the magnitude of the rainfall directly affects the propagation speed, and further affects the transmission delay. The propagation delay is exemplified by vacuum propagation, and the required input parameter is the communication distance of the radio communication device, and the calculation formula is as follows:
wherein T isdelayWhich is the transmission delay, in units of s,
c is the speed of light 299792458 in m/s;
(3) doppler shift:
when a radio communication device is in motion for communication, the frequency of a signal at a receiving end of the radio communication device changes, which is called doppler effect, and frequency shift caused by the doppler effect is called doppler shift. The input parameters required for the doppler shift are the operating frequency and the moving speed of the radio communication device, and the calculation formula is as follows:
wherein f isdIs a doppler shift, in MHz,
v is the speed of movement of the radio communication device in m/s.
4. The method for evaluating radio communication performance in a complex electromagnetic environment as claimed in claim 3, wherein the step S4 includes the sub-steps of:
s41: accessing a radio communication device into a wireless channel simulation device to realize the actual working state of networking communication among multiple devices;
s42: accessing a background signal generating device into a wireless channel simulation device, and providing a background noise signal in a complex electromagnetic environment to recover the background signal in an actual scene;
s43: the radio communication interference resisting equipment is accessed into the radio channel simulation equipment, signal identification is carried out on a radio channel of a complex electromagnetic environment, electronic interference and interference are carried out on the radio communication equipment, and an interference resisting scene in an actual scene is realized;
s44: accessing radio communication performance evaluation equipment into wireless channel simulation equipment, and performing performance evaluation on the working state of the radio communication equipment in a complex electromagnetic environment;
the radio communication performance evaluation equipment outputs various two-layer/three-layer/four-layer Ethernet data packets, analyzes two-layer/three-layer/four-layer protocols of the Ethernet data packets, tests and counts packet error rate and Ethernet data packet transmission delay, and detects network throughput.
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