Improved DFT method for DOA estimation with extended coprime array:based on large difference coarray

被引:5
作者
Lai, Xin [1 ,2 ,3 ]
Chen, Weiyang [1 ,2 ,3 ]
Li, Baobao [1 ,2 ,3 ]
Zeng, Haowei [1 ,2 ,3 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Key Lab Dynam Cognit Syst Electromagnet Spectrum, Nanjing, Peoples R China
[3] Minist Ind & Informat Technol, Beijing, Peoples R China
关键词
DOA estimation; Discrete fourier transform; Taylor series approximation; Extended coprime array; Difference co-array; MIMO RADAR; MAXIMUM-LIKELIHOOD; NESTED ARRAYS; CO-ARRAY; DIRECTION; ESPRIT;
D O I
10.1080/00207217.2021.1941289
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
In this paper, Direction of arrival estimation (DOA) in coprime array is investigated, and an advanced method for DOA estimation is presented with extended coprime array (ECA). Specifically, we use Discrete Fourier Transform (DFT) to obtain initial DOA estimation with large difference co-arrays generated by ECA, then perform Taylor series approximation and total least squares (TLS) method around the initial estimation to compensate the estimation offset. Compared to conventional DFT method, the proposed method enjoys better estimation accuracy with fewer computational burden since it avoids extra searches and benefits more from large difference co-array. Besides, in contrast to spatial smoothing based methods which halve array aperture, the proposed method avoids the process of spatial smoothing and fully utilises uniform degrees of freedom (DOFs). In this case, the proposed method has advantages on estimation accuracy and computational efficiency with multiple impinging signals, especially under the condition of large difference co-array. Furthermore, the proposed method is applicable to other types of advanced coprime array. The superiority of the proposed method has been proved by numerical simulations.
引用
收藏
页码:733 / 747
页数:15
相关论文
共 48 条
[1]   APPLICATIONS OF NUMBERED UNDIRECTED GRAPHS [J].
BLOOM, GS ;
GOLOMB, SW .
PROCEEDINGS OF THE IEEE, 1977, 65 (04) :562-570
[2]   A Low-Complex One-Snapshot DOA Estimation Algorithm with Massive ULA [J].
Cao, Renzheng ;
Liu, Binyue ;
Gao, Feifei ;
Zhang, Xiaofei .
IEEE COMMUNICATIONS LETTERS, 2017, 21 (05) :1071-1074
[3]   Mobility-Assisted Node Localization Based on TOA Measurements Without Time Synchronization in Wireless Sensor Networks [J].
Chen, Hongyang ;
Liu, Bin ;
Huang, Pei ;
Liang, Junli ;
Gu, Yu .
MOBILE NETWORKS & APPLICATIONS, 2012, 17 (01) :90-99
[4]   Robust DOA Estimation for Uncorrelated and Coherent Signals [J].
Chen, Hui ;
Wan, Qun ;
Chen, Hongyang ;
Ohtsuki, Tomoaki .
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2011, E94A (10) :2035-2038
[5]   Angle estimation using ESPRIT in MIMO radar [J].
Duofang, C. ;
Baixiao, C. ;
Guodong, Q. .
ELECTRONICS LETTERS, 2008, 44 (12) :770-770
[6]   MIMO radar with colocated antennas [J].
Li, Jian ;
Stoica, Petre .
IEEE SIGNAL PROCESSING MAGAZINE, 2007, 24 (05) :106-114
[7]   Direction of Arrival Estimation of Quasi-Stationary Signals Using Unfolded Coprime Array [J].
Li, Jianfeng ;
Zhang, Xiaofei .
IEEE ACCESS, 2017, 5 :6538-6545
[8]   L-shaped array-based elevation and azimuth direction finding in the presence of mutual coupling [J].
Liang, Junli ;
Zeng, Xianju ;
Wang, Wenyi ;
Chen, Hongyang .
SIGNAL PROCESSING, 2011, 91 (05) :1319-1328
[9]   Super Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling-Part II: High-Order Extensions [J].
Liu, Chun-Lin ;
Vaidyanathan, P. P. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (16) :4203-4217
[10]   Super Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling-Part I: Fundamentals [J].
Liu, Chun-Lin ;
Vaidyanathan, P. P. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (15) :3997-4012