Results 31 to 40 of about 13,266 (201)

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

The influence of random element displacement on DOA estimates obtained with (Khatri-Rao-)root-MUSIC [PDF]

open access: yes, 2014
Although a wide range of direction of arrival (DOA) estimation algorithms has been described for a diverse range of array configurations, no specific stochastic analysis framework has been established to assess the probability density function of the ...
Inghelbrecht, Veronique   +3 more
core   +2 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

Statistically Efficient Methods for Pitch and DOA Estimation [PDF]

open access: yes, 2013
Traditionally, direction-of-arrival (DOA) and pitch estimation of multichannel, periodic sources have been considered as two separate problems. Separate estimation may render the task of resolving sources with similar DOA or pitch impossible, and it may ...
Christensen, Mads Græsbøll   +2 more
core   +2 more sources

Comparison of Direction of Arrival (DOA) Estimation Techniques for Closely Spaced Targets [PDF]

open access: yesInternational Journal of Future Computer and Communication, 2013
This paper deals with different beamforming techniques for DOA estimation. High resolution techniques such as Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) which are subspace based techniques are also discussed. Finally, further resolution improvement is achieved through the use
Nauman Anwar Baig, Mohammad Bilal Malik
openaire   +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

Multisource DOA Estimation in Impulsive Noise Environments Using Convolutional Neural Networks

open access: yesInternational Journal of Antennas and Propagation, 2022
This work proposes an effective high-resolution multisource direction-of-arrival (DOA) estimation method in impulsive noise scenarios based on convolutional neural networks (CNNs). First of all, the array observation matrix is preprocessed and fed into a
Dong Chen, Young Hoon Joo
doaj   +1 more source

Space-time division cluster DoA estimation algorithm based on UWA spread spectrum signal

open access: yesTongxin xuebao, 2022
To solve the problems of poor stability, low resolution, and performance degradation under low signal-to-noise ratio (SNR) of the direction of arrival (DoA) estimation, a space-time division cluster (STDC) DoA estimation algorithm was proposed for under ...
Feng ZHOU, Baosheng ZHANG, Wenbo ZHANG
doaj   +2 more sources

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

Application of Sparse Representation to Bartlett Spectra for Improved Direction of Arrival Estimation

open access: yesSensors, 2020
A new technique for high-resolution direction of arrival estimation is presented. The method utilizes the traditional Bartlett spectra and sparse representation to locate emitters in single and multiple emitter scenarios.
Jacob Compaleo, Inder J. Gupta
doaj   +1 more source

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