Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
多无人机空域频谱态势构建方法. (Chinese) |
| Alternate Title: |
A Method for Constructing Airspace Spectrum Situation with Multiple UAVs. (English) |
| Συγγραφείς: |
陈逸飞, 杜奕航, 张 余, 龙伟军 |
| Πηγή: |
Telecommunication Engineering; 12/28/2025, Vol. 65 Issue 12, p2043-2052, 10p |
| Θεματικοί όροι: |
Drone aircraft, Generative adversarial networks, Air traffic, Radio frequency measurement, Acquisition of data, Forecasting, Optimization algorithms, Spectrum analysis instruments |
| Abstract (English): |
To address the problem of obtaining the spectrum situation in information gap regions, a spectrum map construction method is proposed. It combines unmanned aerial vehicle (UAV) spectrum monitoring and stacked generative adversarial network algorithm. Leveraging the high mobility of UAVs, the method rapidly samples the power spectrum of the target area, and then uses the obtained sampling data to construct a complete frequency spectrum map. This approach effectively reduces the difficulty of acquiring airspace power spectrum data, intelligently predicts and completes missing spectrum data, and allows flexible selection of the number of algorithm stacking layers according to actual task requirements. Simulation results show that for a 30% sampling rate, the frequency spectrum map constructed has a mean squared error of less than -20. 56 dB when compared with the actual spectrum map. At lower sampling rates, the stacked generative adversarial network algorithm results in an error reduction of over -15. 66 dB compared with other spectrum mapping algorithms. The algorithm can be used for predicting and completing incomplete spectrum maps under various sampling methods, and constructing frequency spectrum maps that align with the actual situation. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
针对获取信息空白区域的频谱态势问题, 提出了一种无人机 (Unmanned Aerial Vehicle, UAV) 频谱监测与堆叠生成对抗网络算法结合的频谱地图构建方法。 利用无人机的高机动性, 快速 地对任务区域进行功率谱采样, 随后使用得到的采样数据构建完整的频谱地图。 该方法能够有效降 低获取空域功率谱数据的难度, 智能化地对残缺频谱数据进行预测补全, 并能根据实际任务需求灵 活选择算法堆叠层数。 仿真结果表明, 30% 采样率构建得到的频谱地图与实际频谱地图对比, 均方 误差低于-20. 56 dB。 在更低采样率下, 堆叠生成对抗网络算法的构建结果相较其他频谱地图算 法, 误差降低超过-15. 66 dB。 该算法可用于多种采样方式下的残缺频谱地图预测补全, 并构建出 与实际态势相符的频谱地图。 [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |