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Enhanced BNC Approach for Noncircular Signals Direction Finding With sparse array in the Scenario of Impulsive Noise

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2023年第5期59卷 6265-6277页

作者： Dong, Xudong Sun, Meng Zhao, Jun Zhang, Xiaofei Wang, Yide Nanjing Univ Aeronaut & Astronaut Nanjing 210000 Peoples R China Nanjing Panda Elect Co Ltd Nanjing 210000 Peoples R China Univ Nantes IETR F-44306 Nantes France Tongji Univ Shanghai 201800 Peoples R China

sparse array is popular in the field of array signal processing. However, in the direction of arrival (DOA) estimation, most research on sparse array assumes Gaussian noise, resulting in a model mismatch in the practical scenarios of impulsive noise. We investigate the estimation performance of the bounded nonlinear covariance (BNC) matrix-based methods, which can be used to replace the original data covariance matrix of the received signal and achieve good robustness to the impulsive interference. We propose an enhanced BNC (EBNC) matrix with a noncircular signal for a nested array in the scenario of impulsive noise. The proposed EBNC matrix can fight against the impulsive noise outliers and its boundedness and convergence are shown. The proposed method's performance is assessed with simulations. Simulation results indicate that the proposed method provides better performance in DOA estimation than the classical BNC, correntropy-based covariance matrix, and Gaussian covariance-based methods, especially in highly impulsive noise scenario.

关键词： Estimation Covariance matrices Direction-of-arrival estimation array signal processing Sensor arrays sparse matrices Sensors Bounded nonlinear covariance (BNC) direction of arrival (DOA) estimation impulsive noise noncircular signal sparse array

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High resolution 3D imaging in MIMO radar with sparse array

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MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING 2018年第2期29卷 745-759页

作者： Hu, Xiaowei Tong, Ningning He, Xingyu Wang, Yuchen Air Force Engn Univ Air & Missile Def Coll Xian 710051 Shaanxi Peoples R China

High resolution three-dimensional (3D) imaging method using MIMO radar with sparse array is studied in this paper. A method based on compressive sensing (CS) is firstly given. However, the CS-based method has the off-grid problem which will reduce the estimation accuracy of scatterers' position on the target. Moreover, a high dimensional measurement matrix is required in the CS-based method, which will lead to a heavy storage and computation burden. To solve the two problems of CS, a new method based on matrix completion is proposed in this paper. After reshaping the sparse 3D echo into a low-rank structured matrix, the full 3D echo can be recovered by solving a nuclear norm minimization problem. Then the accurate position of scatterers can be estimated by applying multi-dimensional harmonic retrieval methods to the full 3D echo. Finally, the high resolution 3D image of targets is reconstructed. The effectiveness of the method is validated by the results of comparative simulations.

关键词： Multiple-input multiple-output (MIMO) radar sparse array Three-dimensional (3D) imaging Compressive sensing (CS) Matrix completion (MC)

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sparse array Design Using the Genetic Algorithm for Optimizing the Radiation Pattern of Linear arrays 26th

Sparse Array Design Using the Genetic Algorithm for Optimizi...

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26th Brazilian Congress on Biomedical Engineering (CBEB)

作者： Eduardo de Souza, Julio Cesar Prado, Vander Teixeira Kitano, Claudio Higuti, Ricardo Tokio UNESP Univ Estadual Paulista Dept Elect Engn Fac Engn Ilha Solteira Ilha Solteira SP Brazil UTFPR Univ Tecnol Fed Parana Dept Elect Engn Campus Cornelio Procopio Cornelio Procopio PR Brazil

ISBN: (纸本)9789811325175;9789811325168

The genetic algorithm was used to obtain sparse arrays with 8, 16, 32 and 64 transducers in a possible aperture size of 128 elements. The optimization was made by minimizing a fitness function that takes into account the mainlobe width and sidelobe levels of the array radiation pattern. The sparse arrays were used to image 11 twisted wires in a medical phantom. The sparse arrays were able to generate images with resolution comparable to a 128 elements array and reduced artifacts in comparison to arrays with the same number of elements.

关键词： Genetic algorithm sparse array Ultrasonic images

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sparse array of Sub-surface Aided Anti-blockage mmWave Communication Systems

Sparse Array of Sub-surface Aided Anti-blockage mmWave Commu...

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IEEE Global Communications Conference (GLOBECOM) on Advanced Technology for 5G Plus

作者： Chen, Weicong Yang, Xi Jin, Shi Xu, Pingping Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China

ISBN: (纸本)9781728182988

Recently, reconfigurable intelligent surfaces (RISs) have drawn intensive attention to enhance the coverage of millimeter wave (mmWave) communication systems. However, existing works mainly consider the RIS as a whole uniform plane, which may be unrealistic to be installed on the facade of buildings when the RIS is extreme large. To address this problem, in this paper, we propose a sparse array of sub-surface (SAoS) architecture for RIS, which contains several rectangle shaped sub-surfaces termed as RIS tiles that can be sparsely deployed. An approximated ergodic spectral efficiency of the SAoS aided system is derived and the performance impact of the SAoS design is evaluated. Based on the approximated ergodic spectral efficiency, we obtain an optimal reflection coefficient design for each RIS tile. Analytical results show that the received signal-to-noise ratios can grow quadratically and linearly to the number of RIS elements under strong and weak LoS scenarios, respectively. Furthermore, we consider the visible region (VR) phenomenon in the SAoS aided mmWave system and find that the optimal distance between RIS tiles is supposed to yield a total SAoS VR nearly covering the whole blind coverage area. The numerical results verify the tightness of the approximated ergodic spectral efficiency and demonstrate the great system performance.

关键词： sparse array reconfigurable intelligent surface anti-blockage mmWave

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Height Measurement for Meter-Wave MIMO Radar Based on sparse array Under Multipath Interference

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REMOTE SENSING 2024年第22期16卷 4331-4331页

作者： Qin, Cong Zhang, Qin Zheng, Guimei Zhang, Gangsheng Wang, Shiqiang Air Force Engn Univ Air & Missile Def Coll Xian 710051 Peoples R China Weinan Normal Univ Sch Comp Sci & Technol Weinan 714099 Peoples R China Air Force Engn Univ Gradute Coll Xian 710051 Peoples R China

For meter-wave multiple-input multiple-output (MIMO) radar, the multipath of target echoes may cause severe errors in height measurement, especially in the case of complex terrain where terrain fluctuation, ground inclination, and multiple reflection points exist. Inspired by a sparse array with greater degrees of freedom and low mutual coupling, a height measurement method based on a sparse array is proposed. First, a practical signal model of MIMO radar based on a sparse array is established. Then, the modified multiple signal classification (MUSIC) and maximum likelihood (ML) estimation algorithms based on two classical sparse arrays (coprime array and nested array) are proposed. To reduce the complexity of the algorithm, a real-valued processing algorithm for generalized MUSIC (GMUSIC) and maximum likelihood is proposed, and a reduced dimension matrix is introduced into the real-valued processing algorithm to further reduce computation complexity. Finally, sufficient simulation results are provided to illustrate the effectiveness and superiority of the proposed technique. The simulation results show that the height measurement accuracy can be efficiently improved by using our proposed technique for both simple and complex terrain.

关键词： height measurement MIMO radar sparse array MUSIC maximum likelihood estimation real-valued processing reduced dimension processing

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Hybrid SIMO and MIMO sparse array radar

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INTERNATIONAL JOURNAL OF MICROWAVE AND WIRELESS TECHNOLOGIES 2014年第3-4期6卷 389-395页

作者： Takayama, Takuya Sugano, Masayuki Tokieda, Yukinobu Sugawara, Hiroki Japan Radio Co Ltd Tokyo 1818510 Japan

This paper clarifies what we benefit from single-input-multiple-output (SIMO) or multiple-input-multiple-output (MIMO) radar. We have developed an X-band sparse array imaging radar system capable of operating at both SIMO and MIMO modes. The hybrid radar modes are realized without any modification in hardware, but simply by switching the scheme of waveform generation and post-processing. A comparison has been made between the SIMO mode adopting a chirp pulse waveform and the MIMO mode based on the code-division multiple access method using the Gold-coded pulse waveform. Mutually complementary properties between the SIMO and MIMO modes in terms of the cost of computation, the ease of array calibration, and the detectability of targets are clarified through simulations and an experiment.

关键词： Radar SIMO MIMO sparse array

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Grating Lobe Suppression and Angle Estimation Based on Virtual Antennas Filling in sparse array

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IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS 2023年第3期22卷 502-506页

作者： Zhu, Jiangyou Lei, Peng Wang, Jun Zhang, Yaotian Yuan, Changshun Beihang Univ Sch Elect & Informat Engn Beijing 100191 Peoples R China Beihang Univ Hangzhou Innovat Inst Key Lab Intelligent Sensing Mat & Chip Integrat Te Hangzhou 310000 Peoples R China

When the radar antenna spacing is larger than half wavelength, grating lobes appear in its antenna beam pattern. They could cause the ambiguity in the angle estimation of radar targets due to the similarity of amplitudes between grating lobes and the main lobe. To address such issue, this letter proposes a grating lobe suppression and angle estimation approach for sparse arrays by use of virtual antennas filling. It takes advantage of the distribution characteristics of grating lobes, and first obtains rough estimates of target angles. The least squares method is then employed to generate signals received by virtual antenna elements. Accordingly, the gaps between antenna elements of sparse array could be filled with those virtual ones to form an equivalent uniform full array. Hence, it achieves the grating lobe suppression as well as accurate estimation of target angles. Both simulations and experiments are carried out to verify its effectiveness in different types of sparse arrays.

关键词： Angle estimation grating lobe suppression least squares estimation sparse array

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Joint DOA and Frequency Estimation With Sub-Nyquist Sampling in the sparse array System

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IEEE SIGNAL PROCESSING LETTERS 2018年第9期25卷 1285-1289页

作者： Liu, Liang Wei, Ping Univ Elect Sci & Technol China Ctr Cyber Secur Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China China Elect Technol Grp Corp Inst 10 Chengdu 610036 Sichuan Peoples R China

Several array systems along with algorithms based on sub-Nyquist sampling techniques have been extensively studied. This letter is committed to the joint frequency and direction-of-arrival estimation of more sources than sensors in a subband by using sparse arrays with sub-Nyquist sampling. The newly defined block vectorization eliminates the interference from sub-Nyquist sampling. Based on this, a novel augmented sample covariance matrix method is proposed, which enhances the spatial degrees of freedom and increases the number of identifiable sources. Simulations show that the joint estimation can he realized at a lower sampling rate with fewer sensors at the expense of a degradation in estimation performance. Such an algorithm provides a tradeoff between the expensive resource of sensors and channels, and the estimation performance.

关键词： Direction-of-arrival (DOA) estimation frequency estimation sparse array sub-Nyquist sampling

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sparse array Optimization Based on Bit-by-Bit Search Algorithm 24

Sparse Array Optimization Based on Bit-by-Bit Search Algorit...

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6th International Conference on Video Signal and Image Processing

作者： Jia, Yuanyuan Wu, Yifeng Zhang, Jinwan Sun Yat Sen Univ Shenzhen Guangdong Peoples R China

ISBN: (纸本)9798400709647

This paper presents a sparse array optimization method based on the bit-by-bit search strategy, specifically aimed at reducing the peak side-lobe level of the array. The algorithm initiates with a random global exploration, followed by a localized refinement through sequential bit-wise optimization, ingeniously integrating greedy strategies with principles of dynamic programming. This approach effectively circumvents local optima while accelerating convergence to the globally optimal configuration. Experimental results under comparable conditions demonstrate that, compared to existing methods such as Genetic Algorithms and Artificial Bee Colony algorithms, this strategy achieves significant enhancements in array performance while concurrently reducing computational complexity.

关键词： Bit-by-Bit Search Algorithm Side-Lobe Level sparse array

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Optimization of a sparse array Antenna for 3D Imaging in Near Range

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IEICE TRANSACTIONS ON ELECTRONICS 2019年第1期E102C卷 46-50页

作者： Lyulyakin, Andrey Chernyak, Iakov Sato, Motoyuki Tohoku Univ Grad Sch Environm Studies Sendai Miyagi 9808579 Japan Tohoku Univ Ctr Northeast Asian Studies Sendai Miyagi 9808576 Japan

In order to improve an imaging performance of a sparse array radar system we propose an optimization method to find a new antenna array layout. The method searches for a minimum of the cost function based on a 3D point spread function of the array. We found a solution for the simulated problem in a form of the new layout for the antenna array with more sparse middle-point distribution comparing with initial one.

关键词： sparse array nearfield imaging array optimization optimization algorithm

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