Article
Telecommunications
Abdul Hayee Shaikh, Xiaoyu Dang, Daqing Huang
Summary: A new universal antenna array approach is presented for MIMO radar, enhancing DOA estimation performance by utilizing the difference co-array method to improve DOF capacity and expand VA. The proposed configuration also benefits from closed-form expressions for VA, sensor locations, and DOF.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Junchi Ma, Shunan Zhong, Zhe Peng, Wei Gao, Weijiang Wang, Xiaohua Wang
Summary: This paper proposes an improved nested array design strategy and gives three conditions for continuity. Based on this strategy, a novel nested configuration called CTNA is introduced, which increases the number of degrees of freedom while maintaining a low level of mutual coupling. Numerical simulations demonstrate the superiority of the proposed array configuration in terms of degrees of freedom, mutual coupling, and direction of arrival estimation accuracy.
Article
Chemistry, Analytical
Ye Chen, Meng Yang, Jianfeng Li, Xiaofei Zhang
Summary: This paper investigates the problem of direction of arrival (DOA) estimation for a monostatic MIMO radar. A nested-nested sparse array (NNSA) is proposed, which consists of two nested subarrays. The design process of NNSA is optimized into two steps. Extensive simulations are carried out and the results demonstrate the superiority of the proposed array.
Article
Engineering, Electrical & Electronic
Zhe Peng, Yingtao Ding, Shiwei Ren, Weijiang Wang, Wei Gu
Summary: This paper proposes a new coprime array configuration called supplementary coprime array (SCA) to address the limited number of degrees of freedom (DOFs) caused by the holes in the difference-sum coarray. The proposed SCA increases the number of DOFs significantly without introducing new sensors and reduces the mutual coupling effect. Numerical simulations are conducted to verify its effectiveness.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Telecommunications
Xiao Yang, Yide Wang, Pascal Charge
Summary: This research investigates the structure of difference coarrays of CPAs and provides exact expressions for all hole positions. A holes-filling method is proposed to fill the most critical holes in the difference coarray, obtaining a coarray with more consecutive lags and higher effective DOFs.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Yinsheng Wang, WeiJia Cui, Bin Ba, Mengjiao Quan, Zhenhua Yu
Summary: This study proposes a novel symmetric flipped nested array (SFNA) for localizing mixed near-field and far-field non-circular sources. By exchanging subarray positions and flipping them, a new SFNA is formed, and special cumulant and one-dimensional spectral search are used for estimating the mixed non-circular sources.
IET RADAR SONAR AND NAVIGATION
(2022)
Article
Engineering, Electrical & Electronic
Wanlu Shi, Yingsong Li
Summary: This paper proposes an improved uniform linear array (ULA) fitting principle for designing sparse arrays. By introducing adjoint transfer arrays on both sides of a transfer sub-array, an improved adjoint transfer layer is constructed to enhance the lower bound of uniform degrees of freedom (uDOFs). Numerical simulations demonstrate the superiority of the designed arrays in direction-of-arrival (DOA) estimations.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Weichuang Yu, Peiyu He, Huiheng Liu, Da Qiu
Summary: This paper proposes an augmented improved nested array (AINA) configuration to reduce mutual coupling. AINA has higher degrees of freedom and less mutual coupling, while providing more unique lags and smaller weight functions. Numerical simulations verify the superiority of AINA in direction of arrival estimation.
ELECTRONICS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Abdul Hayee Shaikh, Xiaoyu Dang, Daqing Huang
Summary: A novel sparse array configuration based on pentad-displaced ULAs structure is proposed in this paper, which offers increased degrees of freedom and wider array aperture for improved direction-of-arrival estimation accuracy. Compared to existing designs, the proposed configuration achieves more DOFs and superior DOA estimation performance with a hole-free resulting co-array.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Telecommunications
Wanlu Shi, Xiaoguang Liu, Yingsong Li
Summary: This letter introduces the UF principle for designing sparse MIMO arrays and proposes a novel sparse MIMO array design strategy suitable for the UF principle.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Yule Zhang, Guoping Hu, Junpeng Shi, Hao Zhou, Chenghong Zhan, Fangzheng Zhao
Summary: An enhanced generalized nested array (EGNA) is proposed to address the low degrees of freedom (DOF) and high mutual coupling (MC) issues of existing sparse arrays. EGNA adds a single antenna and utilizes specific spacing based on coprime factors to improve performance in direction of arrival (DOA) estimation. The numerical simulation results confirm the rationality and superiority of EGNA over traditional sparse arrays.
INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION
(2021)
Article
Computer Science, Information Systems
Shujian Wang, Shiwei Ren, Xiangnan Li, Guiyu Wang, Weijiang Wang
Summary: This paper proposes a new strategy to increase the aperture of a physical sparse sensor array by increasing the element spacings on two-side subarrays. Four conditions are proposed to ensure the continuity of difference co-array. Based on these conditions, a new array structure named TS2-ENA is derived, which possesses a higher degree of freedom, closed-form expression and outstanding performance compared to other nested-like arrays with a fixed number of elements. Simulation results demonstrate the superiority of the new configuration using the spacial smoothing MUSIC algorithm.
Article
Engineering, Electrical & Electronic
Mingcheng Fu, Zhi Zheng, Wen-Qin Wang, Hing Cheung So
Summary: The proposed method achieves DOA estimation by filling in zero elements, recovering covariance matrices, and constructing a larger covariance matrix, with experimental results demonstrating its superiority over conventional methods.
IEEE SIGNAL PROCESSING LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Mingcheng Fu, Zhi Zheng, Wen-Qin Wang, Yi Liao
Summary: This paper introduces nested conformal arrays and develops an algorithm for 2-D DOA estimation. By exploiting the extended aperture of nested subarrays, the algorithm enhances the accuracy of DOA estimation compared to traditional schemes with uniform conformal arrays.
Article
Engineering, Electrical & Electronic
Yanan Ma, Xianbin Cao, Xiangrong Wang
Summary: The proposed IPOC method provides an effective off-grid DOA estimation solution for non-uniform linear arrays, addressing issues related to computational complexity and angle biases. By utilizing generalized inner product and spectral leakage reduction techniques, IPOC is able to accurately estimate the arrival angles of multiple sources with few training snapshots. Evaluation through simulation results shows the efficacy and efficiency of the proposed method.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Yule Zhang, Guoping Hu, Junpeng Shi, Hao Zhou, Chenghong Zhan, Fangzheng Zhao
Summary: An enhanced generalized nested array (EGNA) is proposed to address the low degrees of freedom (DOF) and high mutual coupling (MC) issues of existing sparse arrays. EGNA adds a single antenna and utilizes specific spacing based on coprime factors to improve performance in direction of arrival (DOA) estimation. The numerical simulation results confirm the rationality and superiority of EGNA over traditional sparse arrays.
INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION
(2021)
Article
Engineering, Electrical & Electronic
Yule Zhang, Guoping Hu, Fei Zhang, Hao Zhou
Summary: In this letter, an enhanced coprime array with compressed inter-element spacing is proposed for direction of arrival estimation. The redundant sensor in the coprime array is rearranged to obtain the enhanced coprime array. The unique lags and consecutive lags are derived by analyzing the effect of the shift sensor on the difference co-array. Theoretical analysis shows that the enhanced coprime array can generate more difference lags compared to the coprime array, and larger inter-element spacing can slightly reduce mutual coupling. Numerical examples demonstrate the advantages of the enhanced coprime array in direction of arrival estimation compared to other configurations.
ELECTRONICS LETTERS
(2022)
Article
Chemistry, Analytical
Yule Zhang, Guoping Hu, Hao Zhou, Juan Bai, Chenghong Zhan, Shuhan Guo
Summary: In order to overcome the limited enhancement of degrees of freedom (DOFs) in difference co-array (DCA), a new configuration called generalized nested array via difference-sum co-array (GNA-DSCA) is proposed for direction of arrival (DOA) estimation. The GNA-DSCA considers both temporal and spatial information to construct a DSCA model, and analyzes the DCA and sum co-array (SCA) of the GNA. The derived closed-form expression of DOFs shows that the GNA-DSCA has a more flexible configuration and more DOFs than the GNA-DCA.
Article
Chemistry, Analytical
Yule Zhang, Guoping Hu, Hao Zhou, Juan Bai, Chenghong Zhan, Shuhan Guo
Summary: This paper proposes a novel hole-free nested array with three sub-uniform line arrays (NA-TS). The one-dimensional and two-dimensional representations demonstrate that both nested array (NA) and improved nested array (INA) are special cases of NA-TS. The superior direction of arrival (DOA) estimation performance based on the NA-TS is supported by numerical examples.
Article
Chemistry, Analytical
Fangzheng Zhao, Guoping Hu, Hao Zhou, Shuhan Guo
Summary: This paper proposes a joint estimation method for source number and DOA based on an improved convolutional neural network. It designs a convolutional neural network model that utilizes the mapping relationship between the covariance matrix and both the source number and DOA estimation. The model takes the signal covariance matrix as input and achieves the unfixed number of DOA estimation by filling in invalid values.
