Shifted super transformed nested array for DOA estimation of non-circular signals with increased uDOFs and reduced mutual coupling

被引:1
作者
Li, Jiajie [1 ]
Chen, Hua [1 ,2 ]
Liu, Wei [3 ]
Zhu, Minghong [1 ]
Wang, Qing [4 ]
Wang, Gang [1 ]
机构
[1] Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo 315211, Peoples R China
[2] Zhejiang Key Lab Mobile Network Applicat Technol, Ningbo 315211, Peoples R China
[3] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
[4] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China
基金
英国工程与自然科学研究理事会;
关键词
Nested array; Direction of arrival estimation; Non-circular; Mutual coupling; Uniform degrees of freedom; ENHANCED DEGREES; FREEDOM; ESPRIT;
D O I
10.1016/j.sigpro.2024.109508
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 work, a scheme for array structure design is proposed to maximize uniform degrees of freedom (uDOFs) and reduce mutual coupling. It starts by exchanging the positions of two subarrays within the nested array, followed by mitigating mutual coupling through sensor relocation due to the dense subarray, and ultimately increasing uDOFs by globally shifting the entire array to the right. Following this scheme, the concept of Shifted Super Transformed Nested Array (SSTNA) is introduced and general guidelines for the construction of SSTNA are provided. Analytical expressions for the continuous region of the virtual apertures and uDOFs are derived. Furthermore, the optimal shifting parameter and the first three weight functions are determined for SSTNA. Theoretical analysis shows that SSTNA can effectively reduce mutual coupling while maintaining high uDOFs. In strong mutual coupling scenarios, simulation results are provided to demonstrate the effectiveness and superiority of the proposed design.
引用
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页数:9
相关论文
共 24 条
[1]   Sparse array extension for non-circular signals with subspace and compressive sensing based DOA estimation methods [J].
Cai, Jingjing ;
Liu, Wei ;
Zong, Ru ;
Wu, Bin .
SIGNAL PROCESSING, 2018, 145 :59-67
[2]   Augmented Multi-Subarray Dilated Nested Array With Enhanced Degrees of Freedom and Reduced Mutual Coupling [J].
Chen, Hua ;
Lin, Hongguang ;
Liu, Wei ;
Wang, Qing ;
Shen, Qing ;
Wang, Gang .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2024, 72 :1387-1399
[3]   ESPRIT-like two-dimensional direction finding for mixed circular and strictly noncircular sources based on joint diagonalization [J].
Chen, Hua ;
Hou, Chunping ;
Zhu, Wei-Ping ;
Liu, Wei ;
Dong, Yang-Yang ;
Peng, Zongju ;
Wang, Qing .
SIGNAL PROCESSING, 2017, 141 :48-56
[4]   Efficient Two-Dimensional Direction-of-Arrival Estimation for a Mixture of Circular and Noncircular Sources [J].
Chen, Hua ;
Hou, Chunping ;
Liu, Wei ;
Zhu, Wei-Ping ;
Swamy, M. N. S. .
IEEE SENSORS JOURNAL, 2016, 16 (08) :2527-2536
[5]   Design And Analysis of the Sparse Array for DoA Estimation of Noncircular Signals [J].
Gupta, Payal ;
Agrawal, Monika .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (02) :460-473
[6]   Fragmented coprime arrays with optimal inter subarray spacing for DOA estimation: Increased DOF and reduced mutual coupling [J].
Lai, Xin ;
Zhang, Xiaofei ;
Zheng, Wang ;
Li, Jianfeng ;
Zhou, Fuhui .
SIGNAL PROCESSING, 2024, 215
[7]   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
[8]   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
[9]   A novel co-prime MIMO radar model for DOA estimation [J].
Liu, Donghe ;
Zhao, Yongbo ;
Dong, Shuxian .
SIGNAL PROCESSING, 2022, 199
[10]   A super transformed nested array with reduced mutual coupling for direction of arrival estimation of non-circular signals [J].
Mei, Fengtong ;
Xu, Haiyun ;
Cui, WeiJia ;
Jian, Chunxiao ;
Zhang, Jian .
IET RADAR SONAR AND NAVIGATION, 2022, 16 (05) :799-814