Results 31 to 40 of about 357,123 (287)

Co-array Music under Angle-Independent Nonidealities [PDF]

open access: yes, 2020
Publisher Copyright: © 2020 IEEE.The difference co-array is crucial in determining the number of resolvable sources in direction-of-arrival (DoA) estimation.
Robin Rajamaki   +3 more
core   +1 more source

Analysis of the fourth-order co-array for a mixture of circular and noncircular signals [PDF]

open access: yes, 2023
A detailed analysis of the degrees of freedom (DOFs) (and therefore the maximum number of signals to be estimated) of the fourth-order sum and difference co-arrays for direction of arrival (DOA) estimation in the presence of circular, strictly ...
Cai, J.   +4 more
core   +1 more source

DOA Estimation Algorithm for Reconfigurable Intelligent Surface Co-Prime Linear Array Based on Multiple Signal Classification Approach

open access: yesInformation, 2022
Co-prime linear arrays (CLAs) provide an additional degree of freedom (DOF) with a limited number of physical sensors, and thus help to improve the resolution of direction of arrival (DOA) estimation algorithms.
Tianyu Lan   +5 more
doaj   +1 more source

A Nested–Nested Sparse Array Specially for Monostatic Colocated MIMO Radar with Increased Degree of Freedom

open access: yesSensors, 2023
This paper mainly investigates the problem of direction of arrival (DOA) estimation for a monostatic MIMO radar. Specifically, the proposed array, which is called a nested–nested sparse array (NNSA), is structurally composed of two nested subarrays, a NA
Ye Chen   +3 more
doaj   +1 more source

High-order cumulants based sparse array design via fractal geometries—part I: structures and DOFs [PDF]

open access: yes, 2023
Array structures based on the high-order difference co-array concept provide a large number of degrees of freedom, but are typically difficult to design under multiple optimality criteria.
Yang, Z.   +4 more
core   +1 more source

A Novel PARAFAC Model for Processing the Nested Vector-Sensor Array

open access: yesSensors, 2018
In this paper, a novel parallel factor (PARAFAC) model for processing the nested vector-sensor array is proposed. It is first shown that a nested vector-sensor array can be divided into multiple nested scalar-sensor subarrays.
Wei Rao, Dan Li, Jian Qiu Zhang
doaj   +1 more source

Enhanced CACIS configuration for direction of arrival estimation

open access: yesElectronics Letters, 2022
In this letter, an enhanced coprime array with compressed inter‐element spacing is designed for direction of arrival estimation. First, we analyse and conclude that the 0th sensor of coprime array with compressed inter‐element spacing is redundant for ...
Yule Zhang   +3 more
doaj   +1 more source

Underdetermined wideband DOA estimation of off-grid sources employing the difference co-array concept [PDF]

open access: yesSignal Processing, 2017
A wideband off-grid model is proposed to represent dictionary mismatch under\ud the compressive sensing framework exploiting difference co-arrays. A group\ud sparsity based off-grid method is proposed for underdetermined wideband direction\ud of arrival (DOA) estimation which provides improved performance over\ud the existing group sparsity based ...
Qing Shen 0002   +5 more
openaire   +2 more sources

Qualified difference sets from unions of cyclotomic classes [PDF]

open access: yes, 2009
Qualified difference sets (QDS) composed of unions of cyclotomic classes are discussed. An exhaustive computer search for such QDS and modified QDS that also possess the zero residue has been conducted for all powers n=4,6,8 and 10. Two new families were
Byard, Kevin, Broughan, Kevin A.
core   +1 more source

Underdetermined DOA Estimation Under the Compressive Sensing Framework: A Review

open access: yesIEEE Access, 2016
Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attracted tremendous attention in past years, where the underlying spatial sparsity reconstruction problem is linked to the compressive sensing (CS) framework.
Qing Shen, Wei Liu, Wei Cui, Siliang Wu
doaj   +1 more source

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