Results 201 to 210 of about 1,903,363 (255)

A New Approach to Construct Virtual Array With Increased Degrees of Freedom for Moving Sparse Arrays

IEEE Signal Processing Letters, 2020
In this letter, a novel approach to construct virtual array is proposed by exploiting synthetic aperture technology and the concept of difference coarray for sparse arrays. First, we prove that the proposed method can increase the degrees of freedom (DOF)
Shuang Li, Xiao-Ping Zhang
semanticscholar   +1 more source

Tensor MUSIC in multidimensional sparse arrays

2015 49th Asilomar Conference on Signals, Systems and Computers, 2015
Tensor-based MUSIC algorithms have been successfully applied to parameter estimation in array processing. In this paper, we apply these for sparse arrays, such as nested arrays and coprime arrays, which are known to boost the degrees of freedom to O(N2) given O(N) sensors.
Chun-Lin Liu, P. P. Vaidyanathan
openaire   +2 more sources

DOA Estimation of Coherent Sources With Sparse Arrays via Toeplitz Matrix Reconstruction

IEEE Transactions on Vehicular Technology
In recent years, sparse arrays have made considerable strides in resolving uncorrelated sources. However, the ubiquitous coherent sources across various emerging applications pose unique challenges for direction-of-arrival (DOA) estimation with sparse ...
Yule Zhang, Hao Zhou, Gui-Mei Zheng, Jun-Peng Shi, Guo-Ping Hu, Yu-Wei Song   +5 more
semanticscholar   +1 more source

Coherent array imaging with sparse arrays

Proceedings., International Conference on Image Processing, 2002
For coherent, phased-array imaging systems, sparse arrays are often used in which the aperture is not completely filled by the array. Often, the data that are not collected by the array are set to zero and an image is obtained through a straight-forward Fourier inversion.
openaire   +1 more source

Sparse Arrays: Fundamentals

2023
<p>© 2024 The Institute of Electrical and Electronics Engineers. Published by John Wiley & Sons.</p>
Vaidyanathan, Palghat P., Kulkarni, Pranav   +1 more
openaire   +2 more sources

Synthesis of Sparse Arrays With Discrete Phase Constraints via Mixed-Integer Programming

IEEE Antennas and Wireless Propagation Letters
Synthesizing sparse arrays with discrete phase constraints is a critical problem in many applications. In this letter, we present a novel approach for synthesizing sparse arrays with discrete phase constraints using mixed-integer programming (MIP).
Dongnan Xia, Xue-Jing Zhang
semanticscholar   +1 more source

Sparse array performance

The Journal of the Acoustical Society of America, 1977
A sparse array is formed from a linear equi-spaced array by omitting elements and substituting self- and crosspower terms from remaining elements to preserve the pattern and gain characteristics of the full array. However, the output noise is generally increased for any given averaging time.
Charles R. Greene, Roger C. Wood
openaire   +1 more source

Optimized Design for Sparse Arrays in 3-D Imaging Sonar Systems Based on Perturbed Bayesian Compressive Sensing

IEEE Sensors Journal, 2020
Sparse planar array designs significantly reduce the hardware complexity and computational overhead in phased array 3-D imaging sonar systems. Recently, Bayesian compressive sensing (BCS) theory has been applied for synthesizing maximally sparse arrays ...
Zhenwei Lin, Yao-Wu Chen, Xue-Song Liu, Rong-Xin Jiang, Bin-Jian Shen, Xin-Xin Guo   +5 more
semanticscholar   +1 more source

A Second-Order Statistics-Based Mixed Sources Localization Method With Symmetric Sparse Arrays

IEEE Communications Letters, 2020
This letter proposes a localization method for mixed far-field (FF) and near-field (NF) sources based on second-order statistics (SOS) with generalized symmetric sparse linear arrays. First, the DOAs of the FF sources are estimated by using MUSIC method.
Xiao-Huan Wu, Jun Yan
semanticscholar   +1 more source

DOA Estimation Using Compressed Sparse Array

IEEE Transactions on Signal Processing, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tao Chen, Muran Guo, Yimin D. Zhang
exaly   +3 more sources