Results 171 to 180 of about 13,013 (218)

DL-AoD Estimation-Based 5G Positioning Using Directionally Transmitted Synchronization Signals. [PDF]

Sensors (Basel)
Müürsepp I, Alam MM.
europepmc   +1 more source

A New Method for Joint Sparse DOA Estimation. [PDF]

Sensors (Basel)
Hou J, Wang C, Zhao Z, Zhou F, Zhou H.
europepmc   +1 more source

Research on the Localization Method of Outdoor Ground Vibration Signals Based on MEMS Accelerometers. [PDF]

Sensors (Basel)
Liu R, Zhao X, Zhou B, Wei Q.
europepmc   +1 more source

A Robust Bilinear Framework for Real-Time Speech Separation and Dereverberation in Wearable Augmented Reality. [PDF]

Sensors (Basel)
Nemirovsky A, Itzhak G, Cohen I.
europepmc   +1 more source

Improved Direction of Arrival (DoA) Estimators Using Partial Relaxation Approach and Random Matrix Theory

, 2019
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Direction of Arrival (DOA) Estimation using Electrically Small Resonant Dipole Antennas

2006 IEEE Conference on Radar, 2006
In this paper we present a methodology for the direction of arrival (DOA) estimation using the induced voltages that are measured at the feed points of electrically small resonant dipole antenna arrays illuminated by the signal of interest. The matrix pencil method is applied directly to the induced voltages to estimate the DOA of the various signals ...
null Seunghyeon Hwang, T.K. Sarkar, S. Best   +2 more
openaire   +2 more sources

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Source number estimation using eigenspace in direction of arrival (DOA) estimate

OCEANS 2009-EUROPE, 2009
A source number estimation using eigenspace is presented. It projects estimated covariance matrix of array signal into signal eigen subspace and noise eigen subspace respectively. Using the orthogonality between signal eigen subspace and noise eigen subspace, it is easy to differentiate the contribution of signal and noise by using the criterion value,
null Zhu Weiqing, null Hu Juan, null Liu Xiaodong, null Liu Zhiyu, null Zhu Min   +4 more
openaire   +1 more source

Improved maximum likelihood spectrum for direction of arrival (DOA) estimation

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
A variation of J. Capon's (1969) maximum-likelihood (ML) spectral estimation algorithm is described for calculating direction of arrival using a short linear array. The proposed modification involves altering the computed covariance spectral matrix by setting its lowest eigen value to a small, positive constant lambda '(min).
P.S. Naidu, V.V. Krishna
openaire   +1 more source