Results 91 to 100 of about 35,097 (119)

A Novel Approach of 2-D DOA Estimation by Employing Coprime Linear Array Motion

IEEE Communications Letters, 2022
In this letter, we explore the feature of coprime linear array (CLA) motion for enhanced array aperture and higher degree of freedom (DOF) by implementing synthetic aperture processing. Since the traditional fixed CLA cannot achieve two-dimensional (2-D)
Jianhong Chu, Zhi Zhang, Yuzhen Huang, Yu Guo   +3 more
semanticscholar   +1 more source

DOA Estimation using Planar Sparse Fractal Array

Symposium on Software Performance, 2023
The term fractal refers to the fractional dimensions that have recursive nature and when clubbed with the properties of sparse arrays leads to the generation of a novel array called a sparse fractal array.
Kretika Goel, M. Agrawal, Subrat Kar
semanticscholar   +1 more source

Two-dimensional DOA estimation for generalized coprime planar arrays: a fast-convergence trilinear decomposition approach

Multidimensional Systems and Signal Processing, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaofei Zhang 0001, Wang Zheng, Weiyang Chen, Zhan Shi 0004   +3 more
openaire   +2 more sources

3D Non-Synchronous Measurements With Central Reference Based on Revolution and Autorotation of Spherical Microphone Array

IEEE Signal Processing Letters, 2023
The non-synchronous measurement (NSM) technology has been significantly developed. NSM at the coprime position (CP-NSM) is a measurement principle in two-dimensional (2D) acoustic imaging, wherein a planar array is moved to a coprime position for ...
Liang Yu, Huimin Liu, Ning Chu, A. Mohammad-Djafari, Weihua Yang   +4 more
semanticscholar   +1 more source

Joint Coprime Weights Optimization for Sub-Nyquist Tensor Beamforming

International Radar Conference, 2022
The emerging tensor beamformers are capable of structurally filtering multi-dimensional signals of sensor arrays. Although the popular sparse arrays have been utilized to enhance the resolution of beamforming, the existing tensor beamformers are only ...
Hang Zheng, Chengwei Zhou, Zhiguo Shi, C. Yan   +3 more
semanticscholar   +1 more source

Sub-Nyquist Tensor Beamformer: A Coprimality Constrained Design

IEEE Transactions on Signal Processing, 2023
Adaptive beamforming using sparse arrays can alleviate system burden with a sub-Nyquist sampling rate while achieving high resolution. To process multi-dimensional signals without losing structural information, tensor models can be incorporated in the ...
Hang Zheng, Chengwei Zhou, Zhiguo Shi, Guisheng Liao   +3 more
semanticscholar   +1 more source

Doa Estimation Via Coarray Tensor Completion with Missing Slices

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022
In this paper, a coarray tensor completion-based direction-of-arrival (DOA) estimation method is proposed for coprime planar array. To perform Nyquist-matched coarray signal processing, the completion of the coarray tensor corresponding to an augmented ...
Hang Zheng, Chengwei Zhou, A. D. Almeida, Yujie Gu, Zhiguo Shi   +4 more
semanticscholar   +1 more source

Two-dimensional DOA estimation based on non-circular signals from a tensor perspective

International Conference on Speech Technology and Human-Computer Dialogue, 2022
Coprime planar array (CPA) based on non-circular signals can perform direction-of-arrival (DOA) estimation with high degrees of freedom, but most of the algorithms are based on matrices, which may obscure the structural information of the data and reduce
Hao Li, Bin Ba, Jin Zhang, Chengzhou Liu, Qiang Jin, Liye Zhang   +5 more
semanticscholar   +1 more source

Two-dimensional DOA estimation algorithm based on empty holes data filling by using tensor modeling

2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI), 2022
Tensor modeling can effectively improve the two-dimensional DOA estimation performance of the coprime planar array. However, the virtual array it constructs is not completely continuous, which will cause some virtual array elements to be unused, and the ...
Hao Li, Mengjiao Quan, Jin Zhang, Zhenhua Yu, Bin Ba   +4 more
semanticscholar   +1 more source

Enhanced DOA Estimation Through Coprime Planar Coarray Interpolation via Alternating Projection

IEEE Transactions on Vehicular Technology
Coprime Planar arrays are a class of non-uniform planar arrays that can utilize their difference coarray and the higher degrees of freedom (DOF) associated with the virtual coarray to perform enhanced direction of arrival (DOA) estimation in both the ...
Shekhar Kumar Yadav, Nithin V. George
semanticscholar   +1 more source