Results 31 to 40 of about 2,548 (155)

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

Tracking Positioning Algorithm for Direction of Arrival Based on Direction Lock Loop

open access: yesFuture Internet, 2015
In order to solve the problem of poor real-time performance, low accuracy and high computational complexity in the traditional process of locating and tracking of Direction of Arrival (DOA) of moving targets, this paper proposes a DOA algorithm based on ...
Xiu-Zhi Cheng   +3 more
doaj   +1 more source

Research Progress in Methods to Estimate High-resolution Direction of Arrival

open access: yes水下无人系统学报
With the widespread application of array signal processing, the estimation of direction of arrival(DOA) as the core problem of array signal processing has made significant progress.
Wei ZHAO, Xuan LI, Chengpeng HAO
doaj   +1 more source

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

Polarization and DOA Estimation Based on Dual-Polarized Conformal Array

open access: yesInternational Journal of Antennas and Propagation, 2019
A dual-polarized multiple signal classification (DP-MUSIC) algorithm is presented to estimate the arrival directions and polarizations for a dual-polarized conformal array.
Chao Liu   +3 more
doaj   +1 more source

Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signal

open access: yesEURASIP Journal on Wireless Communications and Networking, 2019
In the radar array signal processing direction of arrival (DOA), the estimation of weak non-stationary signal is an important and difficult problem when both strong and weak signals are coexisting particularly because the weak non-stationary signals are ...
Shuai Shao   +5 more
doaj   +1 more source

Spatial Localization of Electromagnetic Radiation Sources by Cascade Neural Network Model with Noise Reduction [PDF]

open access: yesRadioengineering, 2023
In this paper, the Direction of Arrival - DoA estimation for two mobile sources was performed by using the Single Multilayer Perceptron (MLP) neural network model (SMLP-DoA) and the Cascade MLP model(CMLP).
M. Ilic, Z. Stankovic, N. Males-Ilic
doaj  

Direction-of-Arrival Estimation of Virtual Array Signals Based on Doppler Effect

open access: yesInternational Journal of Distributed Sensor Networks, 2015
The estimation accuracy of direction-of-departure (DOD) and direction-of-arrival (DOA) is reduced because of Doppler shifts caused by the high-speed moving sources.
Feng Zhao, Xia Hao, Hongbin Chen
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

An Optimal Subspace Deconvolution Algorithm for Robust and High-Resolution Beamforming

open access: yesSensors, 2022
Utilizing the difference in phase and power spectrum between signals and noise, the estimation of direction of arrival (DOA) can be transferred to a spatial sample classification problem.
Xiruo Su   +5 more
doaj   +1 more source

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