activity
20132023
most citedTwenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques

179 citations · 811 across the 77 of their papers we have counts for

collaborators
Showing 2020Show all

11 papers · 1 filter

eess.SP2020★ 3 cited

Non-Contact Vital Signs Detection with UAV-Borne Radars

Yu Rong, Richard M. Gutierrez, Kumar Vijay Mishra +1

Airborne radar carried on-board unmanned aerial vehicles (UAV) is serving as the harbinger of new remote sensing applications for security and rescue in inclement environments. The…

eess.SP2020★ 7 cited

Displaced Sensor Automotive Radar Imaging

Guohua Wang, Kumar Vijay Mishra

Displaced automotive sensor imaging exploits joint processing of the data acquired from multiple radar units, each of which may have limited individual resources, to enhance the lo…

eess.SP2020★ 2 cited

Cognitive Learning-Aided Multi-Antenna Communications

Ahmet M. Elbir, Kumar Vijay Mishra

Cognitive communications have emerged as a promising solution to enhance, adapt, and invent new tools and capabilities that transcend conventional wireless networks. Deep learning…

eess.SP2020

A Survey of Deep Learning Architectures for Intelligent Reflecting Surfaces

Ahmet M. Elbir, Kumar Vijay Mishra

Intelligent reflecting surfaces (IRSs) have recently received significant attention for 6G wireless communications as they enable the control of the wireless propagation environmen…

eess.SP2020★ 48 cited

Localization with One-Bit Passive Radars in Narrowband Internet-of-Things using Multivariate Polynomial Optimization

Saeid Sedighi, Kumar Vijay Mishra, M. R. Bhavani Shankar +1

Several Internet-of-Things (IoT) applications provide location-based services, wherein it is critical to obtain accurate position estimates by aggregating information from individu…

eess.SP2020★ 32 cited

Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning

Ahmet M. Elbir, Kumar Vijay Mishra

Sparse sensor array selection arises in many engineering applications, where it is imperative to obtain maximum spatial resolution from a limited number of array elements. Recent r…

eess.SP2020★ 37 cited

Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications -- Part I: Signal Processing

Jiawei Liu, Kumar Vijay Mishra, Mohammad Saquib

We consider a spectral sharing problem in which a statistical (or widely distributed) multiple-input multiple-output (MIMO) radar and an in-band full-duplex (IBFD) multi-user MIMO…

physics.app-ph2020★ 77 cited

Intelligent Time-Varying Metasurface Transceiver for Index Modulation in 6G Wireless Networks

John A. Hodge, Kumar Vijay Mishra, Amir I. Zaghloul

Index modulation (IM) is one of the candidate technologies for the upcoming sixth generation (6G) wireless communications networks. In this paper, we propose a space-time-modulated…

eess.SP2020★ 6 cited

RaSSteR: Random Sparse Step-Frequency Radar

Kumar Vijay Mishra, Satish Mulleti, Yonina C. Eldar

We propose a method for synthesizing high range resolution profiles (HRRP) using stepped frequency waveform (SFW) processing. Conventional SFW radars sweep over the available spect…

cs.IT2020

Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative -Entropy

Kumar Vijay Mishra, M. Ashok Kumar

The relative -entropy is the Rényi analog of relative entropy and arises prominently in information-theoretic problems. Recent information geometric investigations on this quant…

cs.IT2020★ 1 cited

Cramér-Rao Lower Bounds Arising from Generalized Csiszár Divergences

M. Ashok Kumar, Kumar Vijay Mishra

We study the geometry of probability distributions with respect to a generalized family of Csiszár -divergences. A member of this family is the relative -entropy which is als…