Article
Computer Science, Information Systems
Pinjiao Zhao, Qisong Wu, Na Wu, Guobing Hu, Liwei Wang
Summary: This paper introduces a sparse array configuration based on the concept of sum-difference coarray (SDCA), and derives mathematical expressions for sensor locations, uniform degrees of freedom (DOF), and coarray redundancy ratio (CARR) by analyzing the inherent structure of the sparse array. The proposed array utilizes the spatial and temporal information of the incident sources for direction-of-arrival estimation, achieving superior performance.
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
Ke Liu, Zezheng Zhu, Junda Ma
Summary: In this paper, a novel sparse array is proposed to reduce redundant information of the sensor array and alleviate the mutual coupling effect between adjacent antennas. The analytical expressions of the hole positions in the difference coarray generated from the thinned coprime array (TCA) are derived through analysis of consecutive lags. The new location of the 0-position sensor is sequentially determined by investigating its influence on consecutive and unique lags, and the closed-form expressions related to the consecutive lags and unique lags are compared with existing sparse arrays to show the effectiveness and superiority of the proposed method.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Xiang-Tian Meng, Feng-Gang Yan, Bing-Xia Cao, Ming Jin, Ye Zhang
Summary: This study proposes a novel algorithm based on real-valued polynomial roots for direction of arrival (DOA) estimation in monostatic multiple-input multiple-output (MIMO) radar. The algorithm utilizes trigonometry multiple angles formula and variable substitution techniques to convert the original complex steering vector into a real one. The numerical simulations demonstrate that this transformation provides similar performance to the conventional methods with significantly reduced complexity.
DIGITAL SIGNAL PROCESSING
(2022)
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
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
Automation & Control Systems
Jisheng Dai, An Liu, Hing Cheung So
Summary: This study tackles the problem of reconstructing discrete signals using sparse Bayesian learning (SBL). To overcome the challenge of using the ideal discretization prior in the SBL framework, the study introduces a novel discretization enforcing prior to leverage the knowledge of the signal's discrete nature. By integrating this prior into the SBL framework and using variational Bayesian inference (VBI), an alternating optimization algorithm is devised to characterize the feature and reconstruct the unknown signal. Simulation results demonstrate significant performance improvement of the proposed methods. The GAMP-based variant outperforms the VBI-based method with i.i.d. Gaussian measurement matrices but fails to work for non i.i.d. Gaussian matrices.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
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
Engineering, Electrical & Electronic
Kenneth R. Mills, Fauzia Ahmad, Elias Aboutanios
Summary: In this paper, the authors investigate DOA estimation with coprime arrays using coarray domain processing. Two Fourier-based iterative methods are proposed to address the non-uniformity of the coarray, allowing for exploitation of all degrees-of-freedom. Simulation results demonstrate the effectiveness of the proposed approaches.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Rajen Kumar Patra, Anindya Sundar Dhar
Summary: In this work, a novel special coprime array (SCA) configuration is proposed, which increases the degrees of freedom (DOF) and reduces mutual coupling compared to the prototype coprime array (PCA). The properties of difference coarray, sum coarray, and sum difference coarray (SDCA) of SCA are explained in detail. The analysis of the SCA structure is carried out for different cases, and the superiority of SCA and the special unfolded coprime array (SUCA) over other existing coprime arrays is demonstrated through simulations.
DIGITAL SIGNAL PROCESSING
(2022)
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
Kelei Wen, Ye Tian, Yunbai Qin, Ming Jin
Summary: This paper proposes two Toeplitz rectification (TR) based methods for direction-of-arrival (DOA) estimation under the presence of array mutual coupling (MC) and nonuniform noise. The first method employs the middle subarray scheme and TR to eliminate the effects of MC and nonuniform noise, and applies the estimation of signal parameters via rotational invariance techniques (ESPRIT) to obtain DOA estimates. The second method eliminates nonuniform noise using the least squares (LS) criterion, enhances the sample covariance matrix (SCM) through TR, and further improves DOA estimation using two-stage spectral searches.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Sadegh Jamshidpour, Sayed Mahmoud Sakhaei
Summary: A new coarray processing technique for nested electromagnetic vector-sensor arrays is proposed in this paper. By utilizing the multi-component measurements of vector-sensors and the nested array strategy, the proposed method provides superior resolution capabilities and more accurate DOA estimates with relatively less computational efforts.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Nabil Mohsen, Ammar Hawbani, Xingfu Wang, Benjamin Bairrington, Liang Zhao, Saeed Alsamhi
Summary: In this article, two optimized shifted coprime arrays with sum-difference coarrays are proposed to reduce mutual coupling. The proposed array designs have closed-form expressions for their sensor locations and achievable degrees of freedom. Simulation results show that these arrays can achieve comparable degrees of freedom and OSCAwSDCa-II demonstrates more robustness against strong mutual coupling.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Geochemistry & Geophysics
Cheng Zhang
Summary: In this article, a new type of sparse array named super LRLA (S-LRLA) is proposed, which has no unit-spaced sensor pairs but has the largest continuous difference coarray spanning from 2 to N - 2 with a redundancy of less than 2, obtained using a differential evolution method. The characteristics and design factors of S-LRLA are analyzed, discovering seven closed-formed patterns and two semiclosed-formed patterns. Adapted S-LRLA (AS-LRLA) with full difference coarray is also discussed, with comparisons made with other prominent arrays to demonstrate the superiority of AS-LRLA.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
