Off-grid localization in MIMO radars using sparsity

A Abtahi, S Gazor, F Marvasti - IEEE Signal Processing Letters, 2018 - ieeexplore.ieee.org
In this letter, we propose a new accurate approach for target localization in multiple-input
multiple-output (MIMO) radars, which exploits the sparse spatial distribution of targets to …

An adaptive iterative thresholding algorithm for distributed MIMO radars

A Abtahi, M Azghani, F Marvasti - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, a Block Iterative Method with Adaptive Thresholding for Sparse Recovery
(BIMATSR) is proposed to recover the received signal in an under-sampled distributed …

ML-based block sparse recovery for distributed MIMO radars in clutter environments

A Abtahi, MM Kamjoo, F Marvasti… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
In distributed MIMO radars, block sparse recovery methods can be used to estimate the
multiple targets parameters while the sampling rate at each receiver is reduced by exploiting …

Height estimation for automotive MIMO radar with group-sparse reconstruction

R Simoni, D Mateos-Núñez, MA González-Huici… - arXiv preprint arXiv …, 2019 - arxiv.org
A method is developed for sequential azimuth and height estimation of small objects at far
distances in front of a moving vehicle using coherent or mutually incoherent MIMO arrays …

Iterative method for simultaneous sparse approximation

S Sadrizadeh, S Kiani, M Boloursaz… - arXiv preprint arXiv …, 2017 - arxiv.org
This paper studies the problem of Simultaneous Sparse Approximation (SSA). This problem
arises in many applications which work with multiple signals maintaining some degree of …

Sparsity-Based MIMO Radars

A Abtahi, F Marvasti - Excursions in Harmonic Analysis, Volume 6: In …, 2021 - Springer
With advances in technology, Multiple-Input Multiple-Output (MIMO) radars have attracted a
lot of attention in different modern military and civilian applications. As there are multiple …