Results 31 to 40 of about 5,419,576 (229)

Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar

open access: yesThe Scientific World Journal, 2013
Sparse linear arrays provide better performance than the filled linear arrays in terms of angle estimation and resolution with reduced size and low cost. However, they are subject to manifold ambiguity.
Chaozhu Zhang, Yucai Pang
doaj   +1 more source

ESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual Coupling

open access: yesSensors, 2017
In this paper, we focus on the problem of two-dimensional direction of arrival (2D-DOA) estimation for monostatic MIMO Radar with electromagnetic vector received sensors (MIMO-EMVSs) under the condition of gain and phase uncertainties (GPU) and mutual ...
Dong Zhang   +4 more
doaj   +1 more source

A Fast DOA Estimation Algorithm Based on Polarization MUSIC [PDF]

open access: yes, 2015
A fast DOA estimation algorithm developed from MUSIC, which also benefits from the processing of the signals' polarization information, is presented. Besides performance enhancement in precision and resolution, the proposed algorithm can be exerted on ...
Guo, R.   +4 more
core   +2 more sources

A Robust Direction of Arrival Estimation Method for Uniform Circular Array

open access: yesSensors, 2019
Estimating the Direction of Arrival (DOA) is a basic and crucial problem in array signal processing. The existing DOA methods fail to obtain reliable and accurate results when noise and reverberation occur in real applications. In this paper, an accurate
Zhengqin Xu   +3 more
doaj   +1 more source

Dynamic spatial-temporal propagation measurement and super-resolution channel characterisation at 5.2 GHz in a corridor environment [PDF]

open access: yes, 2002
This paper presents the analysed results from a dynamic spatial-temporal measurement campaign conducted at 5.2 GHz in a corridor environment within a modern building.
Beach, MA, Nix, AR, Tan, CM
core   +2 more sources

5G Positioning and Mapping with Diffuse Multipath [PDF]

open access: yes, 2020
5G mmWave communication is useful for positioning due to the geometric connection between the propagation channel and the propagation environment. Channel estimation methods can exploit the resulting sparsity to estimate parameters(delay and angles) of ...
Kulmer, Josef   +3 more
core   +3 more sources

Superfast Line Spectral Estimation [PDF]

open access: yes, 2018
A number of recent works have proposed to solve the line spectral estimation problem by applying off-the-grid extensions of sparse estimation techniques.
Fleury, Bernard Henri   +2 more
core   +3 more sources

Parameter estimation of GTD model and RCS extrapolation based on a modified 3D-ESPRIT algorithm

open access: yesJournal of Systems Engineering and Electronics, 2020
: The noise robustness and parameter estimation performance of the classical three-dimensional estimating signal parameter via rotational invariance techniques (3D-ESPRIT) algorithm are poor when the parameters of the geometric theory of the diffraction (
Zheng Shuyu   +5 more
semanticscholar   +1 more source

Performance of Reconstruction Algorithm Based on Sub-Nyquist Bandpass Sampling in the Pulse Position Modulation-Ultra Wide Band System

open access: yesLeida xuebao, 2015
The signal reconstruction algorithm with sub-Nyquist bandpass sampling in Pulse Position Modulation-Ultra Wide Band (PPM-UWB) signal processing is analyzed based on PPM-UWB signal demodulation.
Zou Ning   +3 more
doaj   +1 more source

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

open access: yes, 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
Besson, Olivier   +2 more
core   +4 more sources

Home - About - Disclaimer - Privacy