US 12,482,368 B1
Methods for multi-dimensional super-resolution target sensing based on 5G aeromacs
Kaiquan Cai, Beijing (CN); Yanbo Zhu, Beijing (CN); Zhibo Zhang, Beijing (CN); and Hongshuo Lyu, Beijing (CN)
Assigned to BEIHANG UNIVERSITY, Beijing (CN)
Filed by BEIHANG UNIVERSITY, Beijing (CN)
Filed on May 22, 2025, as Appl. No. 19/216,692.
Claims priority of application No. 202510502349.3 (CN), filed on Apr. 22, 2025.
Int. Cl. G06F 17/00 (2019.01); A01M 29/32 (2011.01); G01S 7/00 (2006.01); G01S 13/86 (2006.01); G01S 13/91 (2006.01); G08G 5/80 (2025.01); H04L 27/26 (2006.01)
CPC G08G 5/80 (2025.01) [A01M 29/32 (2013.01); G01S 7/006 (2013.01); G01S 13/86 (2013.01); G01S 13/913 (2013.01); H04L 27/2646 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for multi-dimensional super-resolution target sensing based on a 5G-enhanced aeronautical mobile airport communications system (5G AeroMACS), comprising:
S1, modulating data to be transmitted into a plurality of orthogonal frequency division multiplexing (OFDM) symbols using the 5G AeroMACS and transmitting the OFDM symbols;
S2, receiving the OFDM symbols in the air via a plurality of receiving antennas, performing data recovery and stacking recovered data into a three-dimensional (3D) data tensor, and storing the 3D data tensor into a 3D complex matrix;
S3, constructing a signal subspace, a noise subspace, and a 3D spectral peak search function based on the 3D complex matrix to obtain a multi-dimensional super-resolution spectrogram;
S4, obtaining a final target sensing result by using a three-dimensional constant false alarm rate (3D-CFAR) detection algorithm;
S5, determining an adjusted operating power level of each of bird-repelling devices in different regions based on the target sensing result;
controlling one or more bird-repelling devices in a designated region based on the adjusted operating power level to repel birds in the designated region; and
generating a vehicle regulation instruction based on the target sensing result, and sending the vehicle regulation instruction to a plurality of unmanned inspection vehicles (UAVs) to control the plurality of UAVs to drive away from a warning region, the warning region including a runway region where an aircraft is ready to perform at least one of landing and taking off.