Application of Adaptive Coded Modulation Technology in UAV Data Link
- 1 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
- 2 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
- 3 Tianjin Key Laboratory of Intelligent Information Processing in Remote Sensing, Tianjin, China
Abstract
UAV data link has been considered as an important part of UAV communication system, through which the UAV could communicate with warships. However, constant coding and modulation scheme that UAV adopts does not make full use of the channel capacity when UAV communicates with warships in a good channel environment. In order to improve channel capacity and spectral efficiency, adaptive coded modulation technology is studied. Based on maritime channel model, SNR estimation technology and adaptive threshold determination technology, the simulation of UAV data link communication is carried out in this paper. Theoretic analysis and simulation results show that according to changes in maritime channel state, UAV can dynamically adjust the adaptive coded modulation scheme on the condition of meeting target Bit-Error-Rate (BER), the maximum amount of data transfer is non-adaptive systems three times.
- Bobbie, P.O. (2014) Adaptive Modulation and Coding for Efficient Wireless Channel Capacity Utilization. International Conference on Computer Applications in Industry and Engineering, CAINE, 199-205.
- Kim, J. and Cho, D.H. (2005) Enhanced Adaptive Modulation and Coding Schemes Based on Multiple Channel Reportings for Wireless Multicast Systems. IEEE Vehicular Technology Conference, Vtc-2005-Fall, 725-729.
- Yu, G.F. (2014) Study on Wireless Channel Models of UAV Data Link. Applied Me-chanics & Materials, 543-547, 2605-2608. https://doi.org/10.4028/www.scientific.net/AMM.543-547.2605
- Cao, X.D. and Jiang, T. (2014) Research on Sea Surface Ka-Band Stochastic Multipath Channel Modeling. IEEE Antennas and Propagation, 675-678. https://doi.org/10.1109/apcap.2014.6992586
- Huang, F., Liao, X. and Bai, Y. (2016) Multipath Channel Model for Radio Prop-agation over Sea Surface. Wireless Personal Communications, 1-13. https://doi.org/10.1109/TWC.2016.2547861
- He, H.Q. (2005) A Way to Real-Time Ocean Wave Simulation. IEEE International Conference on Computer Graphics, Imaging and Vision: New Trends, 409-415.
- Hu, Z., Tang, W. and Xue, H. (2014) A Probability-based Superposition Model of Freak Wave Simulation. Applied Ocean Research, 47, 284-290. https://doi.org/10.1016/j.apor.2014.05.007
- Chen, F.J. (2014) Non-Data-Aided ML SNR Estimation for AWGN Channels with Deterministic Interference. Eurasip Journal on Wireless Communications & Networking, 2014, 1-10. https://doi.org/10.1186/1687-1499-2014-45
- Ramesh, A., Chockaligam, A. and Milstein, L.B. (2001) SNR Estimation in Gene-ralized Fading Channels and Its Application to Turbo Decoding.
- Gregory, M. and Hoeher, P.A. (2011) Adaptive Channel Coding for Maritime FSO Channels with RF Feedback Link. International Conference on Space Optical Systems and Applications, 351-357. https://doi.org/10.1109/icsos.2011.5783696
- Rico-Alvarino, A., Tato, A. and Mosquera, C. (2015) Robust Adaptive Coding and Modulation Scheme for the Mobile Satellite Forward Link. IEEE International Workshop on Signal Processing Advances in Wireless Communications. https://doi.org/10.1109/spawc.2015.7227094