Broadband DOA Estimation Based on Nested Arrays

被引:10
作者
Shen, Zhi-bo [1 ]
Dong, Chun-xi [1 ]
Dong, Yang-yang [1 ]
Zhao, Guo-qing [1 ]
Huang, Long [1 ]
机构
[1] Xidian Univ, Key Lab Elect Informat Countermeasure & Simulat T, Minist Educ, Xian 710071, Shaanxi, Peoples R China
关键词
QUASI-STATIONARY SIGNALS; KHATRI-RAO SUBSPACE; RECOVERY;
D O I
10.1155/2015/974634
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Direction of arrival (DOA) estimation is a crucial problem in electronic reconnaissance. A novel broadband DOA estimation method utilizing nested arrays is devised in this paper, which is capable of estimating the frequencies and DOAs of multiple narrowband signals in broadbands, even though they may have different carrier frequencies. The proposed method converts the DOA estimation of multiple signals with different frequencies into the spatial frequency estimation. Then, the DOAs and frequencies are pair matched by sparse recovery. It is possible to significantly increase the degrees of freedom (DOF) with the nested arrays and the number of sources can be more than that of sensor array. In addition, the method can achieve high estimation precision without the two-dimensional search process in frequency and angle domain. The validity of the proposed method is verified by theoretic analysis and simulation results.
引用
收藏
页数:7
相关论文
共 16 条
[1]   Broadband DOA estimation using "spatial-only" modeling of array data [J].
Agrawal, M ;
Prasad, S .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2000, 48 (03) :663-670
[2]   Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information [J].
Candès, EJ ;
Romberg, J ;
Tao, T .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) :489-509
[3]   Near-optimal signal recovery from random projections: Universal encoding strategies? [J].
Candes, Emmanuel J. ;
Tao, Terence .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (12) :5406-5425
[4]   Atomic decomposition by basis pursuit [J].
Chen, SSB ;
Donoho, DL ;
Saunders, MA .
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 1998, 20 (01) :33-61
[5]  
Gu JF, 2011, IEEE INT SYMP CIRC S, P1752, DOI 10.1109/ISCAS.2011.5937922
[6]   Nested Vector-Sensor Array Processing via Tensor Modeling [J].
Han, Keyong ;
Nehorai, Arye .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2014, 62 (10) :2542-2553
[7]   Multipath Matching Pursuit [J].
Kwon, Suhyuk ;
Wang, Jian ;
Shim, Byonghyo .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2014, 60 (05) :2986-3001
[8]   Direction-of-arrival estimation of quasi-stationary signals using two-level Khatri-Rao subspace and four-level nested array [J].
Li Shuang ;
He Wei ;
Yang Xu-guang ;
Bao Ming ;
Wang Ying-guan .
JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2014, 21 (07) :2743-2750
[9]  
Liu Z, 2013, PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL CONFERENCE ON EVOLVABLE SYSTEMS (ICES), P9, DOI 10.1109/ICES.2013.6613276
[10]   DOA Estimation of Quasi-Stationary Signals With Less Sensors Than Sources and Unknown Spatial Noise Covariance: A Khatri-Rao Subspace Approach [J].
Ma, Wing-Kin ;
Hsieh, Tsung-Han ;
Chi, Chong-Yung .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (04) :2168-2180