Results 181 to 190 of about 9,691 (222)
Some of the next articles are maybe not open access.
DOA estimation with hexagonal arrays
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002Hexagonal arrays are widely used in practice but have received less attention in the optimum array processing literature. In this paper, we show how unitary ESPRIT can be applied to hexagonal arrays for direction-of-arrival (DOA) estimation. The resulting estimates exhibit good threshold behavior, and are close to the Cramer-Rao bound above threshold ...
Zhi Tian, Harry L. Van Trees
openaire +1 more source
2013 Fifth International Conference on Computational Intelligence, Communication Systems and Networks, 2013
In this paper we present a Linear Vector Quantization (LVQ) neural network approach to estimate Direction of Arrivals (DOA) of narrowband sources. It is shown that appropriately trained LVQ networks along with a specific postprocessing scheme can successfully be used for DOA estimation purposes. We take advantage of the execution speed of LVQ algorithm
Andre Faye +2 more
openaire +1 more source
In this paper we present a Linear Vector Quantization (LVQ) neural network approach to estimate Direction of Arrivals (DOA) of narrowband sources. It is shown that appropriately trained LVQ networks along with a specific postprocessing scheme can successfully be used for DOA estimation purposes. We take advantage of the execution speed of LVQ algorithm
Andre Faye +2 more
openaire +1 more source
2015 IEEE International Conference on Digital Signal Processing (DSP), 2015
This work addresses the problem of direction-of-arrival (DOA) estimation, where true DOAs are not on the sampling grid when sparse signal recovery concept is adopted. To estimate DOAs exploring its sparse property, a basis is usually required. However, off-grid issue persists even when a large basis is constructed.
Hongqing Liu +3 more
openaire +1 more source
This work addresses the problem of direction-of-arrival (DOA) estimation, where true DOAs are not on the sampling grid when sparse signal recovery concept is adopted. To estimate DOAs exploring its sparse property, a basis is usually required. However, off-grid issue persists even when a large basis is constructed.
Hongqing Liu +3 more
openaire +1 more source
A New DOA Algorithm for Spectral Estimation
Wireless Personal Communications, 2021Uniform linear arrays (ULAs) are the most commonly used configurations for the direction-of-arrival estimation of radio signals in many wireless communication applications due to its simplicity. However, this configuration does not provide uniform estimation and deteriorates in performance for the grazing incidences. In this work, we solve this problem
Pavan Mankal +2 more
openaire +1 more source
Practical DOA Estimation via a Network of DOA-Blind Sensors
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007We consider the problem of DOA (direction of arrival) estimation of an acoustic wavefront by a wireless sensor network (WSN) within the SENMA architecture (a mobile agent (MA) repeatedly polls the sensors lying inside its field of view). The sensors, which are random in number and location, are DOA-blind and simply emit a pulse train synchronized to ...
Marco Guerriero +3 more
openaire +1 more source
Wideband DOA estimation in dispersive medium
2013 9th International Conference on Information, Communications & Signal Processing, 2013The problem of direction-of-arrival (DOA) estimation in dispersive medium is considered in this work. For accurate localization of the sources in seismic and underwater acoustic applications, speed profile is estimated and employed. In contrast to this approach, we propose a new algorithm for wideband DOA estimation with unknown speed profile across ...
Vinod Veera Reddy +2 more
openaire +1 more source
On the consistency of the G-MUSIC DoA estimator
2011 IEEE Statistical Signal Processing Workshop (SSP), 2011Recently, a new subspace DoA estimation method (called "G-MUSIC") has been proposed, in the context where the number of available snapshots N is of the same order of magnitude than the number of sensors M. In this context, the traditional subspace methods tend to fail because the empirical covari-ance matrix of the observations is a poor estimate of ...
Vallet, Pascal +4 more
openaire +2 more sources
DOA Estimation Aided by Magnitude Measurements
IEEE Transactions on Vehicular Technology, 2021This correspondence discusses the estimation of direction-of-arrival (DOA) in a magnitude-aided antenna array (MA-AA), where magnitude-only radio frequency (RF) chains are introduced into the classical AA to acquire magnitude measurements. DOAs are initially estimated by the multiple signal classification (MUSIC) algorithm based on the complex-valued ...
Shengchu Wang +3 more
openaire +1 more source
Low-complexity robust DOA estimation
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015We propose a low complexity method for estimating direction of arrival (DOA) when the positions of the array sensors are affected by errors with known magnitude bound. This robust DOA method is based on solving an optimization problem whose solution is obtained in two stages.
Bogdan Dumitrescu +3 more
openaire +2 more sources
A Mismatched Bound for Stochastic DOA Estimation
2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020Model misspecification occurs when the assumed model on which an estimator is derived differs from the true underlying model for a given set of data. This often occurs when, for reasons of practicality, it is not reasonable to account for all of the real-world factors affecting a given signal.
Gerald LaMountain, Pau Closas
openaire +1 more source