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Research on Dynamic Emulation of Non-Stationary Channel of Unmanned Aerial Vehicles Based on FPGA
- Source :
- Hangkong bingqi, Vol 31, Iss 1, Pp 89-96 (2024)
- Publication Year :
- 2024
- Publisher :
- Editorial Office of Aero Weaponry, 2024.
-
Abstract
- Considering the rapid time-varying channel conditions and large Doppler frequency fluctuations caused by high-speed movement of unmanned aerial vehicles, this paper proposes a non-stationary channel emulation scheme for Unmanned Aerial Vehicles(UAVs) using a field-programmable gate array platform. The proposed scheme adopts the sum of frequency modulation method to generate non-stationary channel fading and proposes a real-time algorithm for generating channel parameters to improve the real-time performance of channel emulation and ensure the real-time updating of channel status. In addition, to address the issue of power random fluctuation caused by large Doppler frequency fluctuations, this paper designs an adaptive power equalization module that ensures the stability of fading power by limiting the maximum fluctuation to only 1.13%. Finally, the results of hardware resource consumption analysis demonstrate that the proposed approach in this study significantly reduces the utilization of storage resources compared to replay-based and pre-stored solutions, with reductions of 52.44% and 9.31%, respectively. This makes the proposed approach well-suited for simulating long-duration non-stationary channel fading in UAV scenarios. Additionally, the measured analysis results demon-strate that the channel characteristics output by the proposed hardware emulation scheme, such as path loss and Doppler power spectrum density,closely align with theoretical results when compared to the emulation scheme without the equalizer. This research can be applied to the design and optimization of UAVs communication systems.
Details
- Language :
- Chinese
- ISSN :
- 16735048
- Volume :
- 31
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Hangkong bingqi
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.092c44d8c548478cb02591ec5b896b8d
- Document Type :
- article
- Full Text :
- https://doi.org/10.12132/ISSN.1673-5048.2023.0087