Data‐driven target localization using adaptive radar processing and convolutional neural networks
Leveraging the advanced functionalities of modern radio frequency (RF) modeling and
simulation tools, specifically designed for adaptive radar processing applications, this paper …
simulation tools, specifically designed for adaptive radar processing applications, this paper …
Off-grid DOA estimation with mutual coupling via block log-sum minimization and iterative gradient descent
WG Tang, H Jiang, Q Zhang - IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
Mutual coupling (MC) effect between antennas can deteriorate the direction of arrival (DOA)
estimation performance. Block sparse signal representation (BSSR) is an effective solution …
estimation performance. Block sparse signal representation (BSSR) is an effective solution …
Cramér–Rao bound for sparse signals fitting the low-rank model with small number of parameters
In this letter, we consider signals with a low-rank covariance matrix which reside in a low-
dimensional subspace and can be written in terms of a finite (small) number of parameters …
dimensional subspace and can be written in terms of a finite (small) number of parameters …
Modal analysis using co-prime arrays
We address the problem of estimating mode parameters from noisy observations of a linear
combination of the corresponding modes. This problem arises in line spectrum estimation …
combination of the corresponding modes. This problem arises in line spectrum estimation …
Music for joint frequency estimation: stability with compressive measurements
W Liao - 2014 IEEE Global Conference on Signal and …, 2014 - ieeexplore.ieee.org
This paper studies the application of MUtiple Signal Classification (MUSIC) algorithm on
Multiple Measurement Vector (MMV) problem for the purpose of frequency parameter …
Multiple Measurement Vector (MMV) problem for the purpose of frequency parameter …
[HTML][HTML] Processor dependent bias of spatial spectral estimates from coprime sensor arrays
R Bautista, JR Buck - The Journal of the Acoustical Society of America, 2018 - pubs.aip.org
Coprime sensor arrays (CSAs) can estimate the directions of arrival of O (MN) narrowband
plane wave sources using only O (M+ N) sensors with the CSA product processor …
plane wave sources using only O (M+ N) sensors with the CSA product processor …
Minimax optimal online stochastic learning for sequences of convex functions under sub-gradient observation failures
H Gokcesu, SS Kozat - arxiv preprint arxiv:1904.09369, 2019 - arxiv.org
We study online convex optimization under stochastic sub-gradient observation faults,
where we introduce adaptive algorithms with minimax optimal regret guarantees. We …
where we introduce adaptive algorithms with minimax optimal regret guarantees. We …
Phase estimation in heavy-tailed noise for co-prime arrays
DA Abraham - OCEANS 2018 MTS/IEEE Charleston, 2018 - ieeexplore.ieee.org
A phase estimator appropriate for use in the product-processing of co-prime sub-array pairs
is described and analyzed. The estimator is a unit-circle average (UCA) of the phase …
is described and analyzed. The estimator is a unit-circle average (UCA) of the phase …
Modal analysis using sparse and co-prime arrays
Let a measurement consist of a linear combination of damped complex exponential modes,
plus noise. The problem is to estimate the parameters of these modes, as in line spectrum …
plus noise. The problem is to estimate the parameters of these modes, as in line spectrum …
Hybrid analog/digital MIMO architecture in large antenna array systems
S Park - 2018 - repositories.lib.utexas.edu
Hybrid analog/digital precoding architectures can address the trade-off between achievable
spectral efficiency and power consumption in large-scale multiple-input-multiple-output …
spectral efficiency and power consumption in large-scale multiple-input-multiple-output …