activity
20102023
most citedEfficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries

70 citations · 262 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2023★ 27 cited

Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging

Christos Vasileiou, Josiah W. Smith, Shiva Thiagarajan +3

In this paper, we introduce an innovative super resolution approach to emerging modes of near-field synthetic aperture radar (SAR) imaging. Recent research extends convolutional ne…

eess.SP2023★ 70 cited

Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries

Josiah Smith, Murat Torlak

In this article, we introduce a novel algorithm for efficient near-field synthetic aperture radar (SAR) imaging for irregular scanning geometries. With the emergence of fifth-gener…

cs.CV2023★ 49 cited

Improved Static Hand Gesture Classification on Deep Convolutional Neural Networks using Novel Sterile Training Technique

Josiah Smith, Shiva Thiagarajan, Richard Willis +2

In this paper, we investigate novel data collection and training techniques towards improving classification accuracy of non-moving (static) hand gestures using a convolutional neu…

eess.SP2023★ 26 cited

Near-Field MIMO-ISAR Millimeter-Wave Imaging

Josiah W. Smith, Muhammet Emin Yanik, Murat Torlak

Multiple-input-multiple-output (MIMO) millimeter-wave (mmWave) sensors for synthetic aperture radar (SAR) and inverse SAR (ISAR) address the fundamental challenges of cost-effectiv…

cs.CV2023★ 19 cited

Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution

Josiah Smith, Murat Torlak

Three-dimensional (3-D) synthetic aperture radar (SAR) is widely used in many security and industrial applications requiring high-resolution imaging of concealed or occluded object…

eess.SP2023★ 24 cited

An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument Interface

Josiah W. Smith, Orges Furxhi, Murat Torlak

In this article, we propose a framework for contactless human-computer interaction (HCI) using novel tracking techniques based on deep learning-based super-resolution and tracking…

cs.IT2015★ 2 cited

Second-Order Statistics of MIMO Rayleigh Interference Channels: Theory, Applications, and Analysis

Ahmed O. D. Ali, Cenk M. Yetis, Murat Torlak

While first-order channel statistics, such as bit-error rate (BER) and outage probability, play an important role in the design of wireless communication systems, they provide info…

cs.CV2013★ 29 cited

Two Dimensional Array Imaging with Beam Steered Data

Sujeet Patole, Murat Torlak

This paper discusses different approaches used for millimeter wave imaging of two-dimensional objects. Imaging of a two dimensional object requires reflected wave data to be collec…

cs.IT2013

Exact Joint Distribution Analysis of Zero-Forcing V-BLAST Gains with Greedy Ordering

Serdar Ozyurt, Murat Torlak

We derive the joint probability distribution of zero-forcing (ZF) V-BLAST gains under a greedy selection of decoding order and no error propagation. Unlike the previous approximate…

cs.IT2013★ 8 cited

Performance Analysis of Optimum Zero-Forcing Beamforming with Greedy User Selection

Serdar Ozyurt, Murat Torlak

In this letter, an exact performance analysis is presented on the sum rate of zero-forcing beamforming with a greedy user scheduling algorithm in a downlink system. Adopting water-…

cs.IT2013★ 7 cited

Unified Performance Analysis of Orthogonal Transmit Beamforming Methods with User Selection

Serdar Ozyurt, Murat Torlak

Simultaneous multiuser beamforming in multiantenna downlink channels can entail dirty paper (DP) precoding (optimal and high complexity) or linear precoding (suboptimal and low com…

cs.IT2010★ 1 cited

Interference Alignment via Improved Subspace Conditioning

Douglas Kim, Murat Torlak

For the K user, single input single output (SISO), frequency selective interference channel, a new low complexity transmit beamforming design that improves the achievable sum rate…