Article
Environmental Sciences
Yuqing Zhao, Feng Shen, Biqing Qi, Zhen Meng
Summary: A sparse reconstruction approach based on a coprime array of antennas is proposed in this paper to provide reliable DOA estimation under GNSS spoofing attack. By exploiting the self-coherence property of genuine satellite signals and spoofing, a denoised covariance matrix is constructed for DOA estimation.
Article
Physics, Applied
Qun Yan Zhou, Jun Wei Wu, Si Ran Wang, Zu Qi Fang, Li Jie Wu, Jun Chen Ke, Jun Yan Dai, Tie Jun Cui, Qiang Cheng
Summary: This study proposes a strategy for direction-of-arrival (DOA) estimation using time-domain-coding digital metasurface and a single receiver. The amplitude and phase distributions of the incident wave on the metasurface are precisely retrieved from the detected signals. Experimental results validate the effectiveness and accuracy of this strategy. The low cost and high flexibility of this approach will facilitate various wireless applications.
APPLIED PHYSICS LETTERS
(2022)
Article
Geochemistry & Geophysics
Wanxin Shi, Qian He, Huanhuan Wu
Summary: This article discusses the importance of joint direction of arrival (DOA) and Doppler frequency estimation in radar and wireless communication systems, as well as the need to design the array structure and sampling method to improve estimation performance in real applications with limited antennas and snapshots. The authors propose the use of coprime array and coprime sampler to address this issue. They introduce the concept of generalized spatial-temporal coprime sampling (GSTCS), which allows different temporal sampling parameters for the coprime samplers at different antennas. Through optimization of the spatial coprime array and temporal coprime sampler parameters, the authors demonstrate improved degrees of freedom (DOFs) and estimation performance using compressed sensing (CS) theory.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Chemistry, Analytical
Jian Yang, Xinxin Liu, Yuwei Tu, Weixing Li
Summary: This paper proposes a robust adaptive beamforming algorithm based on hierarchical weighting for sparse antenna arrays based on subarrays. The algorithm calculates the weights of each element in the subarray using conventional beamforming and uses the synthetic signals from each subarray as sparse array metadata. By reconstructing the Interference-plus-Noise Covariance Matrix (INCM) and estimating the guide vector, a weighted vector between the subarrays and the output signal for the whole array are obtained. Simulation results show that the proposed algorithm has better Signal-to-Interference-and-Noise Ratio (SINR) and robustness compared to other algorithms for sparse subarray antenna array beamforming.
Article
Engineering, Electrical & Electronic
Yuxi Du, Haiyun Xu, Weijia Cui, Chunxiao Jian, Jian Zhang
Summary: The coprime array has higher degree of freedom and larger array aperture compared to ULA, attracting attention from scholars. A robust adaptive beamforming algorithm using coprime array is proposed, utilizing virtual signals and estimated directions to enhance array performance.
IET RADAR SONAR AND NAVIGATION
(2022)
Article
Environmental Sciences
Zihuan Mao, Shengheng Liu, Si Qin, Yongming Huang
Summary: FDA can produce a beampattern with controllable direction and range by slightly adjusting carrier frequencies, and it shows good performance in joint/separate angle-range estimation. The relationship between Cramer-Rao bounds (CRB) and coprime FDA parameters is not simply monotonic, and coprime FDA outperforms uniform FDA-MIMO by more than 60% under commonly-adopted coprime patterns.
Article
Engineering, Aerospace
Saeed Mohammadzadeh, Vitor Heloiz Nascimento, Rodrigo C. de Lamare, Osman Kukrer
Summary: This paper proposes a simple and effective robust adaptive beamforming technique for uniform linear arrays, based on power spectral estimation and uncertainty region of interference plus noise components. Two algorithms are presented to determine the angular sector of interference, and a power spectrum is introduced for IPN covariance matrix reconstruction. This method has the advantages of updating the angular region containing interference direction based on array data statistics and avoiding the estimation of the power spectrum of the whole range of interference sector directions. Simulation results show that the proposed method achieves close to optimal performance across a wide range of signal-to-noise ratios.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Telecommunications
Huichao Yang, Pengyu Wang, Zhongfu Ye
Summary: Two methods for interference-plus-noise covariance matrix (INCM) reconstruction were proposed in order to reduce the impact of the signal of interest (SOI) on the traditional Capon beamformer. Simulation results showed that the proposed methods are robust against some mismatch errors.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Huichao Yang, Zhongfu Ye
Summary: The proposed method improves the anti-interference performance and computational efficiency by introducing the interference-plus-noise covariance matrix and constructing a table using a vertical error vector. The effectiveness and robustness of the method are verified in the simulation results.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Sicong Sun, Zhongfu Ye
Summary: This paper proposes a robust adaptive beamforming algorithm based on a novel method for estimating steering vectors, reconstructing the interference-plus-noise covariance matrix and adjusting the steering vectors to improve performance in the presence of mismatches. The algorithm outperforms existing reconstruction-based beamforming algorithms in simulations, demonstrating robustness against various types of mismatch.
Article
Engineering, Electrical & Electronic
Xiangdong Huang, Xuecheng Zhao, Jinying Ma
Summary: This paper proposes a framework for a joint carrier frequency and Direction of Arrival (DOA) estimator to address the challenges of Massive MIMO exploitation in X-band, K-band or higher bands. The framework utilizes sparse coprime arrays, low-rate ADCs, and flexible large coprime time delays to mitigate mutual coupling among antennas and facilitate system implementations. Based on this framework, a joint estimator is proposed with a 3-stage source pairing procedure and a phase ambiguity removal approach, both of which rely on joint singular value decomposition on cross-correlations of subsamples collected from two coprime sub-arrays. Numerical results demonstrate that the proposed joint estimator exhibits superior performance in recovery accuracy and resolvability for densely-distributed sources, suggesting promising potential for future developments such as increasing user capacity in mobile communications.
Article
Engineering, Electrical & Electronic
Huichao Yang, Linjie Dong
Summary: To address the performance degradation issue of the Capon beamformer in the presence of the desired signal in training data, this paper proposes a novel robust adaptive beamforming method. The proposed method utilizes the multiple signal classification method to obtain nominal steering vectors (SVs) and updates them based on subspace orthogonality to reduce computational complexity. Additionally, interference powers are obtained using eigenvalue decomposition from the Capon spectrum without noise, enhancing the accuracy of interference power estimation. Simulation results demonstrate the effectiveness and robustness of the proposed method against common mismatch errors.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Environmental Sciences
Peng Chen, Long Zuo, Wei Wang
Summary: This paper introduces an improved adaptive beamforming algorithm by reconstructing the interference-plus-noise covariance matrix to address model mismatch in unknown curvilinear trajectories, using the concept of signal subspace fitting to construct a joint optimization problem.
Article
Engineering, Electrical & Electronic
Rajen Kumar Patra, Anindya Sundar Dhar
Summary: This work introduces a novel k-times extended coprime array for direction-of-arrival (DOA) estimation, achieving more consecutive degrees-of-freedom than existing coprime arrays. Analysis and simulations demonstrate the superiority of the proposed coprime array over existing ones.
IEEE SIGNAL PROCESSING LETTERS
(2022)
Article
Acoustics
C. Ashok, N. Venkateswaran, Vaddi Lakshmi Satya Sai Sarojini, Sneha Rajan
Summary: This paper investigates the direction-of-arrival (DOA) estimation using a coprime array with displaced subarrays (CADiS). Subspace-based methods have been commonly used for DOA estimation with CADiS, but they suffer from the problem of directional matrix ambiguity. The proposed method distinguishes true DOAs from ambiguous estimates by using the estimated power of the transmitted signals and successfully detects the true DOAs while eliminating ambiguous estimates.
