Channel estimation for high speed unmanned aerial vehicle with STBC in MIMO radio links
| Autor: | Amirhossein Fereidountabar, Luca Di Nunzio, Gian Carlo Cardarilli, Rocco Fazzolari |
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| Rok vydání: | 2018 |
| Předmět: |
Block code
Computer science business.industry Adaptive estimation Doppler shift MIMO Multiple input multiple output Radio propagation SNR STBC Space-time block code MIMO Adaptive estimation Doppler shift MIMO Data_CODINGANDINFORMATIONTHEORY Settore ING-INF/01 - Elettronica Computer Science Applications Computer Science::Performance Space–time block code Transmit diversity Space-time block code Channel state information Electronic engineering Wireless Multiple input multiple output Radio propagation SNR STBC Computer Vision and Pattern Recognition business Computer Science::Information Theory Communication channel Phase-shift keying |
| Zdroj: | International Journal of Computational Vision and Robotics. 8:318 |
| ISSN: | 1752-914X 1752-9131 |
| DOI: | 10.1504/ijcvr.2018.10014145 |
| Popis: | This paper proposes a channel estimation method based on Kalman filter and adaptive estimation with space-time block code (STBC) and multiple antenna systems [multiple input single output (MISO) and multiple input multiple output (MIMO)\ for high speed UAVs. Simulations have been done in time-varying Rayleigh faded channels for BPSK and QPSK. The proposed technique shows a very good error for severely faded channels. Application of Alamouti STBCs with diversity based on multiple antennas provides improved performance in faded wireless channels. Alamouti transmit diversity scheme, however, relies on the availability of accurate channel state information (CSI) for unmanned aerial vehicles (UAVs). Simulation results show that our proposed method achieves accurate estimation for the SNR and Doppler shift in a wide range of velocities and SNRs. |
| Databáze: | OpenAIRE |
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