- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | WU Xinwei, HU Minghua, MAO Jizhi, WANG Yang. Collaborative Target Azimuth Perception Algorithm of Unmanned Aerial Vehicles Based on Spatial Spectrum Estimation[J]. Journal of Southwest Jiaotong University, 2024, 59(4): 898-906, 932. doi: 10.3969/j.issn.0258-2724.20230438
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Collaborative target perception technology of unmanned aerial vehicles (UAVs) is an important security guarantee for the mixed operation of manned aerial vehicles and UAVs. In view of the perception reliability problem in complex airspace environments, the operation scenarios of large and medium-sized UAVs in complex mixed airspace were analyzed, and the needs of collaborative target perception of UAVs, such as precision, high real-time performance, anti-interference, and low load were determined. A collaborative target perception system architecture of UAVs combining a four-unit array antenna and digital radio frequency was proposed. At the same time, the signal characteristics and antenna system of air traffic control (ATC) radar were utilized to design an azimuth perception algorithm. By modifying the covariance matrix and weighting signal subspace and noise subspace, a spatial spectrum estimation algorithm based on multiple signal classification (MUSIC) was designed. In addition, an online amplitude-phase error estimation algorithm based on subspace decomposition was designed. Finally, the algorithm simulation test and flight test in a real airspace environment were carried out. The research results show that compared with the traditional MUSIC algorithm, the improved algorithm improves the high resolution performance of azimuth perception by 23.3% and enhances the high real-time performance, anti-interference, and low load of the collaborative target azimuth perception of UAVs.
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