CN-122026997-A - Test method of vehicle satellite communication system
Abstract
The invention belongs to the technical field of vehicle communication testing, and particularly relates to a testing method of a vehicle satellite communication system. According to the technical scheme, the test efficiency is improved, the single test period is shortened to 2 hours from 7 days, the defect detection rate is improved, the Doppler frequency shift associated fault detection rate is improved, the cost is saved, the real vehicle road test is avoided, and the satellite channel cost is saved.
Inventors
- ZHANG WEIZHENG
- ZHOU HAO
- ZHAO YILEI
Assignees
- 安徽江淮汽车集团股份有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260228
Claims (8)
- 1. A method for testing a satellite communication system for a vehicle, comprising the steps of: s1, performing motion-channel joint modeling by using a vehicle motion equation; S2, performing environment interference dynamic injection; S3, automatic closed loop testing.
- 2. The method of claim 1, wherein the vehicle motion equation is used to calculate doppler shift by: , wherein, The unit is m/s, and the vehicle speed is input through an analog platform or real vehicle data; the unit is the satellite elevation angle, namely radian, and the unit is calculated in real time according to satellite orbit data and the vehicle position; the radian is provided by an inertial measurement unit or an analog platform; the unit is the satellite signal wavelength, m, and is determined by the communication frequency band.
- 3. The method for testing a satellite communication system according to claim 1, wherein the specific steps of applying the vehicle motion equation to perform motion-channel joint modeling in step S1 are: s11, receiving real vehicle road spectrum data by adopting a six-degree-of-freedom hydraulic platform, generating a gesture vibration sequence, adjusting the gesture of the platform in real time by a PID controller, and simulating the dynamic behavior of the vehicle; s12, integrating a motion equation in the embedded system, updating parameters once every set time, and outputting To a channel simulator for dynamically adjusting the carrier frequency offset; s13, synchronizing the pose data of the motion platform with the channel parameters through the time stamp to ensure that the Doppler frequency shift is consistent with the pose vibration phase.
- 4. The method according to claim 1, wherein in step S2, the dynamic injection of the environmental interference includes an occlusion model, a multipath model, and a burst noise injection; The shielding model adopts a ray tracing model and is combined with a 3D digital map to calculate the shielding rate; the multipath model adopts an extended SUI model adaptation environment to calculate multipath components; The burst noise injection is based on an interference pulse model of the IEEE 802.11 protocol to perform power spectrum density calculation.
- 5. The method for testing a satellite communication system according to claim 4, wherein the coverage rate calculation formula is: Wherein: the number of sampling points existing in LOS in unit time; Total sampling points.
- 6. The method of testing a satellite communication system for a vehicle of claim 4, wherein the multipath component generation formula is: Wherein: Is the amplitude of the ith path; Time delay, unit s; Is the phase shift in radians.
- 7. The method of claim 4, wherein the power spectral density formula is: Wherein: Noise power; center frequency; Bandwidth is used.
- 8. The method for testing a satellite communication system for a vehicle according to claim 1, wherein in step S3, the automated closed loop test comprises: S31, defining scene parameters by using a script language; s32, the test flow sequentially comprises motion-channel joint modeling, environment interference injection, data acquisition and performance analysis; S33, calculating through Doppler frequency shift in real time, simulating a 3D shielding model, modeling multipath information and evaluating automatic performance; s34, acquiring error rate and switching time delay indexes in real time, evaluating the indexes and generating a test report.
Description
Test method of vehicle satellite communication system Technical Field The invention belongs to the technical field of vehicle communication testing, and particularly relates to a testing method of a vehicle satellite communication system. Background The vehicle satellite communication system is widely applied in the fields of intelligent driving, remote monitoring, emergency communication and the like. The test needs to verify the communication stability under the complex environments of dynamic multipath fading, doppler shift, attitude disturbance and the like, and the traditional laboratory static test can not reproduce the real scene, so that the problems of signal interruption, sudden rise of bit error rate and the like occur in the actual deployment of vehicle-mounted equipment. The test in the prior art adopts the test of the vehicle-mounted equipment on a real road, the test of dialing a common number, rescuing a phone and the like in the vehicle through satellite communication by recording a track through GPS, and the background analysis of communication data. The cost of the test mode is extremely high due to satellite communication and long-distance drive test, the test scene is randomly appeared by weather and shielding objects, the defects are difficult to reproduce, the data acquisition is delayed, and fault examples such as burst signal interference and the like cannot be injected in real time. Disclosure of Invention The invention aims to provide a test method of a vehicle satellite communication system, which realizes dynamic coupling simulation of a vehicle motion state and a satellite channel, programmable simulation of a complex environment and automatic closed-loop evaluation of communication indexes by a test scheme with low cost and high reproducibility. In order to achieve the above purpose, the application is realized by the following technical scheme: a method of testing a satellite communication system for a vehicle, comprising the steps of: s1, performing motion-channel joint modeling by using a vehicle motion equation; S2, performing environment interference dynamic injection; S3, automatic closed loop testing. Further, the vehicle motion equation is used to calculate the doppler shift, and the equation is: , wherein, The unit is m/s, and the vehicle speed is input through an analog platform or real vehicle data; the unit is the satellite elevation angle, namely radian, and the unit is calculated in real time according to satellite orbit data and the vehicle position; the radian is provided by an inertial measurement unit or an analog platform; the unit is the satellite signal wavelength, m, and is determined by the communication frequency band. Further, the specific steps of performing motion-channel joint modeling by applying the vehicle motion equation in step S1 are as follows: s11, receiving real vehicle road spectrum data by adopting a six-degree-of-freedom hydraulic platform, generating a gesture vibration sequence, adjusting the gesture of the platform in real time by a PID controller, and simulating the dynamic behavior of the vehicle; s12, integrating a motion equation in the embedded system, updating parameters once every set time, and outputting To a channel simulator for dynamically adjusting the carrier frequency offset; s13, synchronizing the pose data of the motion platform with the channel parameters through the time stamp to ensure that the Doppler frequency shift is consistent with the pose vibration phase. Further, in step S2, the environmental interference dynamic injection includes an occlusion model, a multipath model and burst noise injection; The shielding model adopts a ray tracing model and is combined with a 3D digital map to calculate the shielding rate; the multipath model adopts an extended SUI model adaptation environment to calculate multipath components; The burst noise injection is based on an interference pulse model of the IEEE 802.11 protocol to perform power spectrum density calculation. Further, the calculation formula of the shielding rate is: Wherein: the number of sampling points existing in LOS in unit time; Total sampling points. Further, the multipath component generation formula is: Wherein: Is the amplitude of the ith path; Time delay, unit s; Is the phase shift in radians. Further, the power spectral density formula is: Wherein: Noise power; center frequency; Bandwidth is used. Further, in step S3, the automated closed loop test includes: S31, defining scene parameters by using a script language; s32, the test flow sequentially comprises motion-channel joint modeling, environment interference injection, data acquisition and performance analysis; S33, calculating through Doppler frequency shift in real time, simulating a 3D shielding model, modeling multipath information and evaluating automatic performance; s34, acquiring error rate and switching time delay indexes in real time, evaluating the indexes and generating a test report.