Time:2022-11-17 Views:
According to news on November 16, in November this year, under the guidance of the IMT-2020 (5G) promotion group, ZTE used a 4.9GHz low-frequency 5G commercial base station to complete the outdoor drone, vehicle and pedestrian perception test verification and indoor scene. Test validation of breath perception. The verification results show that the farthest sensing distance of outdoor low-altitude UAVs exceeds 1400m in a certain environment, and realizes the multi-target movement trajectory perception of UAVs, vehicles and pedestrians at the same time, and preliminarily verifies the feasibility of low-frequency sensing applications in low-altitude security and traffic safety management. . Line-of-sight and non-line-of-sight respiration perception tests were carried out in indoor scenarios. The respiration monitoring capability in line-of-sight scenarios is comparable to that of commercial respiratory monitoring instruments, which can help perception applications such as health management.
According to the information, as one of the important innovation directions of 5G-Advanced, communication perception fusion technology is based on the design of existing communication systems to enable perception and expand the application capabilities of communication systems beyond data transmission. Through the perception based on the communication system, on the one hand, it can provide the detection capability of non-terminal targets in the environment, and on the other hand, it can take advantage of the large-scale deployment of communication networks to integrate existing sensing technologies to improve its sensing range and accuracy.
ZTE is committed to the R&D and verification of 5G synaesthesia fusion technology in different frequency bands such as millimeter wave and Sub6G for scenarios such as smart low-altitude, smart transportation, and smart life. The synaesthesia fusion test based on the low-frequency 5G commercial base station realized the trajectory perception and respiratory health monitoring perception of drones, vehicles and pedestrians, and verified the usability of the technology for the business application of 5G synaesthesia technology in multiple fields.
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