| Citation: | ZHANG Wenqiu, DING Wenrui, LIU Chunhuiet al. A channel selection and power control method of UAV data link[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(3): 583-591. doi: 10.13700/j.bh.1001-5965.2016.0166(in Chinese)
|
In complex electromagnetic and natural environment, the reliability of unmanned aerial vehicle (UAV) data link is under serious threat. To solve the problem of channel selection and power control to ensure UAV communication quality, a new channel selection and power control method in combination with relevance vector regression (RVR) is proposed. This method builds mapping model among interference information, bit error rate (BER) and signal noise ratio (SNR) based on RVR. Through the model and real-time interference information, the minimum channel SNR meeting the BER requirements of UAV data link can be predicted, and then minimum transmitted power can be calculated. Channel quality is judged based on the minimum channel transmitted power. The method selects channel while determining transmitted power, and makes the process simpler, using the minimum channel power to realize anti-jamming. Simulation experiment shows that this method can select available channel and adjust power effectively, and restrain interference. The proposed method has low time and energy cost, and is practical.
| [1] |
VACHTSEVANOS G J, VALAVANIS K P.Military and civilian unmanned aircraft[M]//Handbook of unmanned aerial vehicles.Berlin:Springer Netherlands, 2015:93-103.
|
| [2] |
ⅡDUKA H.Fixed point optimization algorithm and its application to power control in CDMA data networks[J].Mathematical Programming, 2012, 133(1):227-242.
|
| [3] |
ZENGEN G, BUESCHING F, POETTNER W B, et al.Adaptive channel selection for interference reduction in wireless sensor networks[C]//Proceedings, ARCS 2015-The 28th International Conference on Architecture of Computing Systems.Nuremberg:VDE, 2015:1-7.
|
| [4] |
SKOKOWSKI P, MALON K, KELNER J M, et al.Adaptive channels' selection for hierarchical cluster based cognitive radio networks[C]//2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS).Piscataway, NJ:IEEE Press, 2014:1-6.
|
| [5] |
PAL A, NASIPURI A.A distributed channel selection scheme for multi-channel wireless sensor networks[C]//Proceedings of the thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing.New York:ACM, 2012:263-264.
|
| [6] |
XIAO L, DAI H, NING P. Jamming-resistant collaborative broadcast using uncoordinated frequency hopping[J].IEEE Transactions on Information Forensics and Security, 2012, 7(1):297-309. doi: 10.1109/TIFS.2011.2165948
|
| [7] |
MORIMOTO A, MIKI N, ISHⅡ H, et al.Investigation on transmission power control in heterogeneous network employing cell range expansion for LTE-Advanced uplink[C]//2012 18th European Wireless Conference European Wireless, EW.Nuremberg:VDE, 2012:1-6.
|
| [8] |
李思佳, 毛玉泉, 郑秋容, 等.UAV数据链抗干扰的关键技术研究综述[J].计算机应用研究, 2011, 28(6):2020-2024. http://www.cnki.com.cn/Article/CJFDTOTAL-JSYJ201106007.htm
LI S J, MAO Y Q, ZHENG Q R, et al.Overview of research on key techniques for anti-jamming of UAV data link[J].Application Research of Computers, 2011, 28(6):2020-2024(in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-JSYJ201106007.htm
|
| [9] |
BACCOUR N, KOUBAA A, MOTTOLA L, et al.Radio link quality estimation in wireless sensor networks:A survey[J].ACM Transactions on Sensor Networks (TOSN), 2012, 8(4):34.
|
| [10] |
WANG Y, MARTONOSI M, PEH L S.Predicting link quality using supervised learning in wireless sensor networks[J].ACM SIGMOBILE Mobile Computing and Communications Review, 2007, 11(3):71-83. doi: 10.1145/1317425
|
| [11] |
李建东, 郭梯云, 邬国扬.移动通信[M].4版.西安:西安电子科技大学出版社, 2009:94-132.
LI J D, GUO T Y, WU G Y.Mobile communication[M].4th ed.Xi'an:Xidian University Press, 2009:94-132(in Chinese).
|
| [12] |
PHILLIPS C, SICKER D, GRUNWALD D.The stability of the Longley-Rice irregular terrain model for typical problems:CU-CS-1086-11[R].Boulder:University of Colorado at Boulder, 2011.
|
| [13] |
VALAVANIS K P, VACHTSEVANOS G J.Handbook of unmanned aerial vehicles[M].[S.l.]:Springer Publishing Company, Incorporated, 2014:749-844.
|
| [14] |
崔蓉. 基于序贯决策的无线传感网络频谱感知策略与分配方法[D]. 北京: 北京邮电大学, 2015: 18-29.
CUI R.Wireless sensor network spectrum sensing and allocation strategy based on sequential decision[D].Beijing:Beijing University of Posts and Communications, 2015:18-29(in Chinese).
|
| [15] |
BASAK D, PAL S, PATRANABIS D C.Support vector regression[J].Neural Information Processing-Letters and Reviews, 2007, 11(10):203-224.
|
| [16] |
TIPPING M E.Sparse Bayesian learning and the relevance vector machine[J].The Journal of Machine Learning Research, 2001, 1:211-244.
|
| [17] |
CAMPS-VALLS G, MARTíNEZ-RAMÓN M, ROJO-ÁLVAREZ J L, et al.Nonlinear system identification with composite relevance vector machines[J].IEEE Signal Processing Letters, 2007, 14(4):279-282. doi: 10.1109/LSP.2006.885290
|
| [18] |
NICOLAOU M A, GUNMES H, PANTIC M.Output-associative RVM regression for dimensional and continuous emotion prediction[J].Image and Vision Computing, 2012, 30(3):186-196. doi: 10.1016/j.imavis.2011.12.005
|
| [19] |
TANTUM S L, SCOTT W R, MORTON K D, et al.Target classification and identification using sparse model representations of frequency-domain electromagnetic induction sensor data[J].IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(5):2689-2706. doi: 10.1109/TGRS.2012.2215876
|
| [20] |
JOLLIFFE I T.Principal component analysis[M].Berlin:Springer, 2002:41-64.
|
Figures(9) / Tables(5)
Copyright © Journal of Beijing University of Aeronautics and Astronautics
Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@buaa.edu.cn
Supported by:
Beijing Renhe Information Technology Co., Ltd.
DownLoad:
