摘要
Unmanned Aerial Vehicle(UAV)equipped with uniform linear array has been applied to multiple emitters localization.Meanwhile,nested linear array enables to enhance localization resolution and achieve under-determined Direction of Arrival(DOA)estimation.In this paper,we propose a new system structure for emitters localization that combines the UAV with nested linear array,which is capable of significantly increasing the positioning accuracy of interested targets.Specifically,a localization scheme is designed to obtain the paired two-dimensional DOA(2D-DOA,i.e.azimuth and elevation angles)estimates of emitters by nested linear array with UAV.Furthermore,we propose an improved DOA estimation algorithm for emitters localization that utilizes Discrete Fourier Transform(DFT)method to obtain coarse DOA estimates,subsequently,achieve the fine DOA estimates by sparse representation.The proposed algorithm has lower computational complexity because the coarse DOA estimates enable to shrink the range of over-complete dictionary of sparse representation.In addition,compared to traditional uniform linear array,improved 2D-DOA estimation performance of emitters can be obtained with a nested linear array.Extensive simulation results testify the effectiveness of the proposed method.
Unmanned Aerial Vehicle(UAV) equipped with uniform linear array has been applied to multiple emitters localization. Meanwhile, nested linear array enables to enhance localization resolution and achieve under-determined Direction of Arrival(DOA) estimation. In this paper, we propose a new system structure for emitters localization that combines the UAV with nested linear array, which is capable of significantly increasing the positioning accuracy of interested targets. Specifically, a localization scheme is designed to obtain the paired two-dimensional DOA(2 D-DOA, i.e. azimuth and elevation angles) estimates of emitters by nested linear array with UAV. Furthermore, we propose an improved DOA estimation algorithm for emitters localization that utilizes Discrete Fourier Transform(DFT) method to obtain coarse DOA estimates, subsequently, achieve the fine DOA estimates by sparse representation. The proposed algorithm has lower computational complexity because the coarse DOA estimates enable to shrink the range of over-complete dictionary of sparse representation. In addition, compared to traditional uniform linear array, improved 2 D-DOA estimation performance of emitters can be obtained with a nested linear array. Extensive simulation results testify the effectiveness of the proposed method.
基金
Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX18_0103,KYCX18_0293)
China NSF Grants(61371169,61601167,61601504)
Jiangsu NSF(BK20161489)
the open research fund of State Key Laboratory of Millimeter Waves,Southeast University(No.K201826)
the Fundamental Research Funds for the Central Universities(NO.NE2017103).
作者简介
The corresponding author:Xinping Lin,received B.S degree in information engineering from Nanjing University of Aeronautics and Astronautics,Nanjing,China,in 2017.He is currently pursuing his M.S.degree at the College of Electronics and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,China.His research interests include array signal processing and communication signal processing,email:Hymanlin_0624@163.com;Correspondingauthor: Xiaofei Zhang,received M.S degree from Wuhan University,Wuhan,China,in 2001.He received Ph.D.degrees in communication and information systems from Nanjing University of Aeronautics and Astronautics in 2005.Now,he is a full Professor in Electronic Engineering Department,Nanjing University of Aeronautics and Astronautics,Nanjing,China.His research is focused on array signal processing and communication signal processing.He serves on the Technical Program Committees of The IEEE 2010 International Conference on Wireless Communications and Signal Processing(WCSP 2010),The IEEE 2011 International Conference on Wireless Communications and Signal Processing(WCSP 2011),ssme2010,and 2011 International Workshop on Computation Theory and Information Technology(CT&IT2011).Prof.Xiaofei serves as Editors of International Journal of Digital Content Technology and its Applications(JDCTA),International Journal of Technology and Applied Science(IJTAS),journal of Communications and Information Sciences,Scientific Journal of Microelectronics and International Journal of Information Engineering(IJIE).He also serves regularly as a peer reviewer for the IEEE Transactions wireless communication,IEEE transactions on vehicular technology,EURASIP Journal on Advances in Signal Processing,IEEE Communication Letters,Signal Processing,International Journal of Electronics,International Journal of Communication Systems and Wireless Communications and Mobile Computing;Lang He,received B.S degree in information engineering from Nanjing University of Aeronautics and Astronautics,Nanjing,China,in 2017.He is currently pursuing his M.S.degree at the College of Electronics and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,China.His research interests include array signal processing and communication signal processing;Wang Zheng,received B.S degree in information engineering from Nanjing University of Aeronautics and Astronautics,Nanjing,China,in 2015.He is currently pursuing his Ph.D.degree at the College of Electronics and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,China.His research interests include array signal processing and communication signal processing.
