Results 11 to 20 of about 1,582,214 (165)

Source bearing and steering-vector estimation using partially calibrated arrays [PDF]

, 2009
The problem of source direction-of-arrival (DOA) estimation using a sensor array is addressed, where some of the sensors are perfectly calibrated, while others are uncalibrated. An algorithm is proposed for estimating the source directions in addition to
Lu, Y., Li, M.
core   +4 more sources

Advanced array processing techniques and systems [PDF]

, 2009
Research and development on smart antennas, which are recognized as a promising technique to improve the performance of mobile communications, have been extensive in the recent years.
Li, M.
core   +3 more sources

Improved DOA estimation using polarisation diversity : simulations using a wideband propagation model [PDF]

, 2000
This paper investigates the performance of a number of direction-of-arrival (DOA) estimation algorithms in a wideband macrocellular channel using a dual-polarised antenna array.
Temeh, EK, Nix, AR, AlMidfa, K
core   +1 more source

Multisource DOA Estimation in Impulsive Noise Environments Using Convolutional Neural Networks

International 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

Research on Underdetermined DOA Estimation Method with Unknown Number of Sources Based on Improved CNN

Sensors, 2023
This paper proposes a joint estimation method for source number and DOA based on an improved convolutional neural network for unknown source number and undetermined DOA estimation.
Fangzheng Zhao, Guoping Hu, Hao Zhou, Shuhan Guo   +3 more
doaj   +1 more source

A Modified Rife Algorithm for Off-Grid DOA Estimation Based on Sparse Representations

Sensors, 2015
In this paper we address the problem of off-grid direction of arrival (DOA) estimation based on sparse representations in the situation of multiple measurement vectors (MMV).
Tao Chen, Huanxin Wu, Limin Guo, Lutao Liu   +3 more
doaj   +1 more source

Angle of arrival estimation for broadband signals : a comparison [PDF]

, 2013
This paper reviews and compares three different linear algebraic signal subspace techniques for angle of arrival estimation. These include a polynomial matrix approach to multiple signal classification (MUSIC), a parameterised spatial covariance matrix ...
Weiss, Stephan, McWhirter, John G., Lambotharan, Sangarapillai, Alrmah, Mohamed Abubaker, Redif, Soydan   +4 more
core   +4 more sources

A Priori-Based Subarray Selection Algorithm for DOA Estimation

Sensors, 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, Guanghua Zhang, Chongzhao Han   +2 more
doaj   +1 more source

Direction-of-Arrival Estimation Based on Joint Sparsity

Sensors, 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

Approximate maximum likelihood estimation of two closely spaced sources [PDF]

, 2014
The performance of the majority of high resolution algorithms designed for either spectral analysis or Direction-of-Arrival (DoA) estimation drastically degrade when the amplitude sources are highly correlated or when the number of available snapshots is
Chaumette, Eric, Besson, Olivier, Vincent, François   +2 more
core   +1 more source