Velocity-independent and low-complexity method for 1D DOA estimation using an arbitrary cross-linear array

被引:3
作者
Ning, Gengxin [1 ]
Jing, Guangyu [1 ]
Li, Xiaopeng [1 ]
Zhao, Xuejin [2 ]
机构
[1] South China Univ Technol, Guangzhou, Peoples R China
[2] Guangdong Univ Technol, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
1D-DOA; Velocity independent; Arbitrary cross-linear array; Cramer-Rao bound;
D O I
10.1186/s13634-020-00687-2
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
This paper focuses on a low-complexity one-dimensional (1D) direction-of-arrival (DOA) algorithm with an arbitrary cross-linear array. This algorithm is highly accurate without the performance error usually caused by the uncertainty factor of the wave velocity in the underwater environment. The geometric relationship between two crossed linear arrays is employed to derive the expression of DOA estimation with the finding that this algorithm is capable of excluding the wave velocity variable in the DOA estimation expression. A method without parameter pairing is also proposed to reduce the complexity of this algorithm. Additionally, the influence of wave velocity is analyzed in terms ofRMSE(c)and the Cramer-Rao bound (CRB) for 1D DOA with the arbitrary cross-linear array is established. The simulation results demonstrate that the proposed algorithm can achieve better performance than the traditional algorithm under the condition of an inaccurate estimate of wave velocity. Compared with the velocity-independent DOA algorithm, it exhibits the feature of low complexity.
引用
收藏
页数:9
相关论文
共 17 条
[1]  
[Anonymous], 2005, Spectral analysis of signals
[2]  
[Anonymous], INT C SIGN PROC
[3]  
[Anonymous], 2014, IEEE SIGNAL PROCESS
[4]   A single triangular SS-EMVS aided high-accuracy DOA estimation using a multi-scale L-shaped sparse array [J].
Ding, Jin ;
Yang, Minglei ;
Chen, Baixiao ;
Yuan, Xin .
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2019, 2019 (01)
[5]   Joint Elevation and Azimuth Direction Finding Using L-Shaped Array [J].
Liang, Junli ;
Liu, Ding .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2010, 58 (06) :2136-2141
[6]  
Liu A, 2018, EURASIP J WIREL COMM, V2018, P1, DOI DOI 10.1186/s13638-015-0498-8
[7]   Joint DOA and Frequency Estimation With Sub-Nyquist Sampling in the Sparse Array System [J].
Liu, Liang ;
Wei, Ping .
IEEE SIGNAL PROCESSING LETTERS, 2018, 25 (09) :1285-1289
[8]  
Ning G., 2017, 2017 IEEE INT C SIGN, DOI [10.1109/icspcc.2017.8242414, DOI 10.1109/ICSPCC.2017.8242414]
[9]   Multistep Knowledge-Aided Iterative ESPRIT: Design and Analysis [J].
Pinto, Silvio F. B. ;
De Lamare, Rodrigo C. .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2018, 54 (05) :2189-2201
[10]   A Simple Modification of ESPRIT [J].
Qian, Cheng .
IEEE SIGNAL PROCESSING LETTERS, 2018, 25 (08) :1256-1260