Results 21 to 30 of about 167,781,360 (200)

Deep Unfolded Gridless DOA Estimation Networks Based on Atomic Norm Minimization

open access: yesRemote Sensing, 2022
Deep unfolded networks have recently been regarded as an essential way to direction of arrival (DOA) estimation due to the fast convergence speed and high interpretability. However, few consider gridless DOA estimation.
Hangui Zhu   +4 more
doaj   +1 more source

Intelligent joint channel parameter estimation techniques for mobile wireless positioning applications [PDF]

open access: yes, 2010
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Mobile wireless positioning has recently received great attention. For mobile wireless communication networks, an inherently suitable approach is to obtain
Li, Wei
core   +7 more sources

Matched steering vector searching based direction-of-arrival estimation using acoustic vector sensor array

open access: yesEURASIP Journal on Wireless Communications and Networking, 2019
The acoustic vector sensor (AVS) array is a powerful tool for underwater target’s direction-of-arrival (DOA) estimation without any bearing ambiguities.
Yu Ao, Ling Wang, Jianwei Wan, Ke Xu
doaj   +1 more source

Compressive Sensing for High-Resolution Direction-of-Arrival Estimation via Iterative Optimization on Sensing Matrix

open access: yesInternational Journal of Antennas and Propagation, 2015
A novel compressive sensing- (CS-) based direction-of-arrival (DOA) estimation algorithm is proposed to solve the performance degradation of the CS-based DOA estimation in the presence of sensing matrix mismatching. Firstly, a DOA sparse sensing model is
Hongtao Li, Chaoyu Wang, Xiaohua Zhu
doaj   +1 more source

Direction-of-Arrival Estimation Based on Joint Sparsity

open access: yesSensors, 2011
We present a DOA estimation algorithm, called Joint-Sparse DOA to address the problem of Direction-of-Arrival (DOA) estimation using sensor arrays. Firstly, DOA estimation is cast as the joint-sparse recovery problem.
Zhitao Huang, Yiyu Zhou, Junhua Wang
doaj   +1 more source

The direction of arrival estimation method based on gridless compressed sensing

open access: yes上海师范大学学报. 自然科学版, 2020
Efficient direction of arrival(DOA) estimation for densely distributed targets was a difficult and hot spot in current high-precision positioning technology.There were many problems and issuesfor existing DOA estimation methods which were designed based ...
GU Xu, WEI Shuang, LI Li, SU Ying
doaj   +1 more source

Comparative study for broadband direction of arrival estimation techniques [PDF]

open access: yes, 2012
This paper reviews and compares three different linear algebraic signal subspace techniques for broadband direction of arrival estimation --- (i) the coherent signal subspace approach, (ii) eigenanalysis of the parameterised spatial correlation matrix ...
Weiss, Stephan   +3 more
core   +3 more sources

An Improved Propagator Estimator for DOA Estimation in Monostatic MIMO Radar in the Presence of Imperfect Waveforms

open access: yesIEEE Access, 2019
This paper discusses the direction-of-arrival (DOA) estimation problem in multiple-input multiple-output (MIMO) radar with non-orthogonal waveforms.
Chong Shen   +4 more
doaj   +1 more source

A Low Energy Consumption DOA Estimation Approach for Conformal Array in Ultra-Wideband

open access: yesFuture Internet, 2013
Most direction-of-arrival (DOA) estimation approaches for conformal array suffer from high computational complexity, which cause high energy loss for the direction finding system.
Liangtian Wan   +3 more
doaj   +1 more source

A Priori-Based Subarray Selection Algorithm for DOA Estimation

open access: yesSensors, 2020
A finer direction-of-arrival (DOA) estimation result needs a large and dense array; it may, however, encounter the mutual coupling effect, which degrades the performance of DOA estimation.
Linghao Zeng   +2 more
doaj   +1 more source

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