Abstract
While unmanned aerial vehicle (UAV) is in the mission, the acquired big data information needs to communicate in real-time with the base. Consequently, how to achieve a high-speed and high-quality data transmission via the limited bandwidth and frequency spectrum resource has currently become a hot researching topic in the field of wireless communication and aeronautical telemetry. Aiming at these problems, in this paper, we present a kind of optimization scheme of multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) sphere equalization technology for UAV wireless image transmission data link system, which combines MIMO technology with OFDM technology, thus to increase the spectrum utilization rate and to improve the system performance while resisting to the multipath effect. What’s more, by means of carrying out the collaborative optimization on the original sphere equalization technology (OSET), and by the introduction of the support of the configurable parameters, the system computational complexity is significantly reduced, the detection efficiency as well as the adaptability to complex environment is also improved. Simulation experiment results demonstrate that our method has an approximately optimal bit error rate (BER) performance, a high bandwidth efficiency, a good robustness, a fast convergence rate, and the comprehensive performance is greatly improved than OSET. Furthermore, our method also has a very important reference significance and application value to the development of the equalization technologies of the wireless image transmission data link system based on the UAV platform in our country, as well as to the researches in domestic and foreign related fields.
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Zhao, J., Liu, H., Chen, X., Zhang, B., Chen, T. (2014). Research on a Kind of Optimization Scheme of MIMO-OFDM Sphere Equalization Technology for Unmanned Aerial Vehicle Wireless Image Transmission Data Link System. In: Wu, J., Chen, H., Wang, X. (eds) Advanced Computer Architecture. Communications in Computer and Information Science, vol 451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44491-7_19
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DOI: https://doi.org/10.1007/978-3-662-44491-7_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44490-0
Online ISBN: 978-3-662-44491-7
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