3 results about "Mobility prediction" patented technology

This invention discloses a method for UAV access capacity in the 1090 MHz band based on variable channels and mobility prediction. It introduces S-mode and A / C-mode messages in the real-world 1090 MHz band; and allows for the setting of corresponding channel propagation models according to different environments. All aircraft are modeled as mobile devices; and the ADS-B message update cycle can be adjusted according to the UAV's speed. Finally, the continuous packet loss situation and corresponding packet loss rate of civil aircraft and UAVs can be obtained. Under the condition of meeting the minimum message update rate of civil aircraft, i.e., maintaining the normal operation of the civil aviation surveillance system, the method analyzes how many UAVs equipped with ADS-B OUT devices can be added to this frequency band.

This invention discloses a method for three-dimensional fine modeling and stability probability evaluation of complex rock mass blocks, comprising three steps: first, three-dimensional modeling of complex blocks based on three-dimensional laser scanning, integrating real high-precision terrain and random boundaries; second, introducing full-space stereographic projection for kinematic mobility prediction, inputting the extracted random geometric parameters into a rigid body limit equilibrium vector model considering water-rock coupling effects such as pore water pressure reduction, and calculating the probability distribution of the safety factor; and third, based on a multi-source collaborative support inversion model of target reliability, dynamically calculating and outputting the probability distribution of anchor cable reinforcement force required to maintain the target's stable state. This invention overcomes the inherent defects of traditional deterministic analysis and simplified probabilistic models, and overcomes the shortcomings of existing technologies that often use fixed attitude parameters and are difficult to detect potential risks.

Provided are a temporal domain mobility prediction method and apparatus, a communication device, a chip, and a storage medium. The method includes: a terminal obtaining K measurement instance(s) corresponding to a first downlink reference signal set, the K measurement instance(s) being obtained based on measurement performed by the terminal on downlink reference signals in the first downlink reference signal set at K measurement time instance(s), the first downlink reference signal set including first downlink reference signal subsets of N cell(s), the K measurement instance(s) being used to obtain F prediction instance(s) corresponding to a second downlink reference signal set based on a first model, different prediction instances corresponding to different prediction time instances, and the second downlink reference signal set including second downlink reference signal subsets of P cell(s), K, N, F, and P being integers greater than or equal to 1.