Search Results for author: Kumar Vijay Mishra

Found 66 papers, 0 papers with code

Beyond Diagonal RIS: Key to Next-Generation Integrated Sensing and Communications?

no code implementations21 Feb 2024 Tara Esmaeilbeig, Kumar Vijay Mishra, Mojtaba Soltanalian

In particular, we consider the joint design objective of maximizing the weighted sum of the signal-to-noise ratio (SNR) at the radar receiver and communication users by leveraging the extra degrees-of-freedom offered in the BD-RIS setting.

Submodular Optimization for Placement of Intelligent Reflecting Surfaces in Sensing Systems

no code implementations22 Oct 2023 Zahra Esmaeilbeig, Kumar Vijay Mishra, Arian Eamaz, Mojtaba Soltanalian

In this paper, we design the placement of IRS platforms for sensing by maximizing the mutual information.

An Invitation to Hypercomplex Phase Retrieval: Theory and Applications

no code implementations20 Oct 2023 Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello

The hypercomplex PR (HPR) arises in many optical imaging and computational sensing applications that usually comprise quaternion and octonion-valued signals.

Retrieval

Information Geometry for the Working Information Theorist

no code implementations5 Oct 2023 Kumar Vijay Mishra, M. Ashok Kumar, Ting-Kam Leonard Wong

Information geometry is a study of statistical manifolds, that is, spaces of probability distributions from a geometric perspective.

Index-Modulated Metasurface Transceiver Design using Reconfigurable Intelligent Surfaces for 6G Wireless Networks

no code implementations4 Oct 2023 JohnA. Hodge, Kumar Vijay Mishra, Brian M. Sadler, Amir I. Zaghloul

Higher spectral and energy efficiencies are the envisioned defining characteristics of high data-rate sixth-generation (6G) wireless networks.

Space-Time Adaptive Processing for radars in Connected and Automated Vehicular Platoons

no code implementations13 Sep 2023 Zahra Esmaeilbeig, Kumar Vijay Mishra, Mojtaba Soltanalian

Direct application of STAP in a network of radar systems such as in a CAV may lead to excess interference.

Scheduling

Terahertz-Band Direction Finding With Beam-Split and Mutual Coupling Calibration

no code implementations6 Sep 2023 Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas

Terahertz (THz) band is currently envisioned as the key building block to achieving the future sixth generation (6G) wireless systems.

Widely Separated MIMO Radar Using Matrix Completion

no code implementations29 Aug 2023 Shunqiao Sun, Yunqiao Hu, Kumar Vijay Mishra, Athina P. Petropulu

We present a low-complexity widely separated multiple-input-multiple-output (WS-MIMO) radar that samples the signals at each of its multiple receivers at reduced rates.

Matrix Completion

Sparse Array Design for Direction Finding using Deep Learning

no code implementations8 Aug 2023 Kumar Vijay Mishra, Ahmet M. Elbir, Koichi Ichige

In the past few years, deep learning (DL) techniques have been introduced for designing sparse arrays.

Feature Engineering Transfer Learning

RIS-Aided Wideband Holographic DFRC

no code implementations8 May 2023 Tong Wei, Linlong Wu, Kumar Vijay Mishra, M. R. Bhavani Shankar

This surface is crucial for designing compact low-cost wideband wireless systems, wherein ultra-massive antenna arrays are required to compensate for the losses incurred by severe attenuation and diffraction.

Inverse Unscented Kalman Filter

no code implementations4 Apr 2023 Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay

In this setting, a cognitive `adversary' tracks its target of interest via a stochastic framework such as a Kalman filter (KF).

Multi-Antenna Dual-Blind Deconvolution for Joint Radar-Communications via SoMAN Minimization

no code implementations23 Mar 2023 Roman Jacome, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello

In these passive listening outposts, the signals and channels of both radar and communications are unknown to the receiver.

Spatial Path Index Modulation in mmWave/THz-Band Integrated Sensing and Communications

no code implementations22 Mar 2023 Ahmet M. Elbir, Kumar Vijay Mishra, Asmaa Abdallah, Abdulkadir Celik, Ahmed M. Eltawil

Then, we propose to employ a family of hybrid beamforming techniques such as hybrid, SI, and subcarrier-dependent analog-only, and beam-split-aware beamformers.

Inverse Cubature and Quadrature Kalman filters

no code implementations18 Mar 2023 Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay

Recent developments in counter-adversarial system research have led to the development of inverse stochastic filters that are employed by a defender to infer the information its adversary may have learned.

Numerical Integration

Near-Field Low-WISL Unimodular Waveform Design for Terahertz Automotive Radar

no code implementations8 Mar 2023 Arian Eamaz, Farhang Yeganegi, Kumar Vijay Mishra, Mojtaba Soltanalian

Conventional sensing applications rely on electromagnetic far-field channel models with plane wave propagation.

Moving Target Detection via Multi-IRS-Aided OFDM Radar

no code implementations24 Feb 2023 Zahra Esmaeilbeig, Arian Eamaz, Kumar Vijay Mishra, Mojtaba Soltanalian

In this paper, we consider a multi-IRS-aided orthogonal frequency-division multiplexing (OFDM) radar and study the theoretically achievable accuracy of target detection.

Phase Retrieval for Rydberg Quantum Arrays

no code implementations5 Feb 2023 Peter Vouras, Kumar Vijay Mishra, Alexandra Artusio-Glimpse

Rydberg-aided atomic electrometry using alkali-metal atoms is gaining increased research interest for detecting external electric fields.

Retrieval

NBA-OMP: Near-field Beam-Split-Aware Orthogonal Matching Pursuit for Wideband THz Channel Estimation

no code implementations3 Feb 2023 Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas

The sixth-generation networks envision the terahertz (THz) band as one of the key enabling technologies because of its ultrawide bandwidth.

Multi-Carrier Wideband OCDM-Based THz Automotive Radar

no code implementations1 Feb 2023 Sangeeta Bhattacharjee, Kumar Vijay Mishra, Ramesh Annavajjala, Chandra R. Murthy

In this paper, we propose a bistatic THz automotive radar that employs the recently proposed orthogonal chirp division multiplexing (OCDM) multi-carrier waveform.

Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in Joint Radar-Communications

no code implementations16 Nov 2022 Jonathan Monsalve, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello

In this dual-blind deconvolution (DBD) problem, the receiver admits a multi-carrier wireless communications signal that is overlaid with the radar signal reflected off multiple targets.

Retrieval

Millimeter-Wave Radar Beamforming with Spatial Path Index Modulation Communications

no code implementations8 Nov 2022 Ahmet M. Elbir, Kumar Vijay Mishra, Abdulkadir Çelik, Ahmed M. Eltawil

To efficiently utilize the wireless spectrum and save hardware costs, the fifth generation and beyond (B5G) wireless networks envisage integrated sensing and communications (ISAC) paradigms to jointly access the spectrum.

Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques

no code implementations3 Nov 2022 Ahmet M. Elbir, Kumar Vijay Mishra, Sergiy A. Vorobyov, Robert W. Heath Jr

With the advances in multi-antenna technologies largely for radar and communications, there has been a great interest on beamformer design mostly relying on convex/nonconvex optimization.

Astronomy

Machine Learning for Metasurfaces Design and Their Applications

no code implementations2 Nov 2022 Kumar Vijay Mishra, Ahmet M. Elbir, Amir I. Zaghloul

Metasurfaces (MTSs) are increasingly emerging as enabling technologies to meet the demands for multi-functional, small form-factor, efficient, reconfigurable, tunable, and low-cost radio-frequency (RF) components because of their ability to manipulate waves in a sub-wavelength thickness through modified boundary conditions.

Modern GPR Target Recognition Methods

no code implementations2 Nov 2022 Fabio Giovanneschi, Kumar Vijay Mishra, Maria Antonia Gonzalez-Huici

Traditional GPR target recognition methods include pre-processing the data by removal of noisy signatures, dewowing (high-pass filtering to remove low-frequency noise), filtering, deconvolution, migration (correction of the effect of survey geometry), and can rely on the simulation of GPR responses.

GPR Landmine

Emerging Prototyping Activities in Joint Radar-Communications

no code implementations2 Nov 2022 Bhavani Shankar M. R., Kumar Vijay Mishra, Mohammad Alaee-Kerahroodi

The previous chapters have discussed the canvas of joint radar-communications (JRC), highlighting the key approaches of radar-centric, communications-centric and dual-function radar-communications systems.

Cramer-Rao Lower Bound Optimization for Hidden Moving Target Sensing via Multi-IRS-Aided Radar

no code implementations11 Oct 2022 Zahra Esmaeilbeig, Kumar Vijay Mishra, Arian Eamaz, Mojtaba Soltanalian

Intelligent reflecting surface (IRS) is a rapidly emerging paradigm to enable non-line-of-sight (NLoS) wireless transmission.

Counter-Adversarial Learning with Inverse Unscented Kalman Filter

no code implementations1 Oct 2022 Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay

In this paper, we address this scenario by formulating inverse cognition as a nonlinear Gaussian state-space model, wherein the adversary employs an unscented Kalman filter (UKF) to estimate the defender's state with reduced linearization errors.

Circularly Polarized Fabry-Perot Cavity Sensing Antenna Design using Generative Model

no code implementations29 Sep 2022 Kainat Yasmeen, Kumar Vijay Mishra, A. V. Subramanyam, Shobha Sundar Ram

We consider the problem of designing a circularly polarized Fabry-P'erot cavity (FPC) antenna for S-band sensing applications such as satellite navigation and communication.

Generative Adversarial Network

SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks

no code implementations16 Aug 2022 Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska, Federico Cerutti, Kumar Vijay Mishra, Alfred O. Hero III

In second-order uncertain Bayesian networks, the conditional probabilities are only known within distributions, i. e., probabilities over probabilities.

Inverse Extended Kalman Filter -- Part II: Highly Non-Linear and Uncertain Systems

no code implementations13 Aug 2022 Himali Singh, Arpan Chattopadhyay, Kumar Vijay Mishra

The purpose of this paper and the companion paper (Part I) is to address the inverse filtering problem in non-linear systems by proposing an inverse extended Kalman filter (I-EKF).

Terahertz-Band Integrated Sensing and Communications: Challenges and Opportunities

no code implementations2 Aug 2022 Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas, Mehdi Bennis

The sixth generation (6G) wireless networks aim to achieve ultra-high data transmission rates, very low latency and enhanced energy-efficiency.

Federated Multi-Task Learning for THz Wideband Channel and DoA Estimation

no code implementations13 Jul 2022 Ahmet M. Elbir, Wei Shi, Kumar Vijay Mishra, Symeon Chatzinotas

This paper addresses two major challenges in terahertz (THz) channel estimation: the beam-split phenomenon, i. e., beam misalignment because of frequency-independent analog beamformers, and computational complexity because of the usage of ultra-massive number of antennas to compensate propagation losses.

Federated Learning Multi-Task Learning

Implicit Channel Learning for Machine Learning Applications in 6G Wireless Networks

no code implementations24 Jun 2022 Ahmet M. Elbir, Wei Shi, Kumar Vijay Mishra, Anastasios K. Papazafeiropoulos, Symeon Chatzinotas

Without channel estimation, the proposed approach exhibits approximately 60% improvement in image and speech classification tasks for diverse scenarios such as millimeter wave and IEEE 802. 11p vehicular channels.

BIG-bench Machine Learning

An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures

no code implementations11 May 2022 Peter Vouras, Kumar Vijay Mishra, Alexandra Artusio-Glimpse, Samuel Pinilla, Angeliki Xenaki, David W. Griffith, Karen Egiazarian

Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of a single sensor alone, are leading to novel research avenues in several signal processing applications.

Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signals

no code implementations6 May 2022 Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra

Channel estimation is a critical task in intelligent reflecting surface (IRS)-assisted wireless systems due to the uncertainties imposed by environment dynamics and rapid changes in the IRS configuration.

Federated Learning

The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms

no code implementations14 Apr 2022 Ahmet M. Elbir, Kumar Vijay Mishra, M. R. Bhavani Shankar, Symeon Chatzinotas

The intelligent reflecting surface (IRS) alters the behavior of wireless media and, consequently, has potential to improve the performance and reliability of wireless systems such as communications and radar remote sensing.

Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging

no code implementations3 Mar 2022 Samuel Pinilla, Kumar Vijay Mishra, Igor Shevkunov, Mojtaba Soltanalian, Vladimir Katkovnik, Karen Egiazarian

Phase retrieval in optical imaging refers to the recovery of a complex signal from phaseless data acquired in the form of its diffraction patterns.

Retrieval

Phase Retrieval for Radar Waveform Design

no code implementations27 Jan 2022 Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello

The ability of a radar to discriminate in both range and Doppler velocity is completely characterized by the ambiguity function (AF) of its transmit waveform.

Radar waveform design Retrieval

Co-Pulsing FDA Radar

no code implementations18 Jan 2022 Wanghan Lv, Kumar Vijay Mishra, Shichao Chen

By exploiting these DoFs, we develop C-Cube auto-pairing (CCing) algorithm, in which all the parameters are ipso facto paired during a joint estimation.

Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs

no code implementations12 Jan 2022 Mohammad Faisal Ahmed, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda, Kumar Vijay Mishra, Aditya K. Jagannatham

Wireless sensor networks (WSNs) are vulnerable to eavesdropping as the sensor nodes (SNs) communicate over an open radio channel.

Inverse Extended Kalman Filter -- Part I: Fundamentals

no code implementations5 Jan 2022 Himali Singh, Arpan Chattopadhyay, Kumar Vijay Mishra

The purpose of this paper and the companion paper (Part II) is to develop the theory of I-EKF in detail.

Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective

no code implementations11 Nov 2021 Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello

When the radar receiver is not collocated with the transmitter, such as in passive or multistatic radars, the transmitted signal is also unknown apart from the target parameters.

Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support

no code implementations11 Nov 2021 Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler

Retrieving a signal from its triple correlation spectrum, also called bispectrum, arises in a wide range of signal processing problems.

IRS-Aided Radar: Enhanced Target Parameter Estimation via Intelligent Reflecting Surfaces

no code implementations25 Oct 2021 Zahra Esmaeilbeig, Kumar Vijay Mishra, Mojtaba Soltanalian

We demonstrate that the IRS can provide a virtual or non-line-of-sight (NLOS) link between the radar and target leading to an enhanced radar performance.

Resource Allocation in Heterogeneously-Distributed Joint Radar-Communications under Asynchronous Bayesian Tracking Framework

no code implementations23 Aug 2021 Linlong Wu, Kumar Vijay Mishra, Bhavani Shankar M. R., Björn Ottersten

Optimal allocation of shared resources is key to deliver the promise of jointly operating radar and communications systems.

Heterogeneously-Distributed Joint Radar Communications: Bayesian Resource Allocation

no code implementations29 Jul 2021 Linlong Wu, Kumar Vijay Mishra, Bhavani Shankar M. R., Björn Ottersten

In this paper, we focus on a heterogeneous radar and communication network (HRCN), which consists of various generic radars for multiple target tracking (MTT) and wireless communications for multiple users.

Joint Radar-Communication

Information Geometry and Classical Cramér-Rao Type Inequalities

no code implementations2 Apr 2021 Kumar Vijay Mishra, M. Ashok Kumar

We examine the role of information geometry in the context of classical Cram\'er-Rao (CR) type inequalities.

Vocal Bursts Type Prediction

Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming

no code implementations27 Feb 2021 Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas

Wireless communications and sensing at terahertz (THz) band are increasingly investigated as promising short-range technologies because of the availability of high operational bandwidth at THz.

Federated Dropout Learning for Hybrid Beamforming With Spatial Path Index Modulation In Multi-User mmWave-MIMO Systems

no code implementations15 Feb 2021 Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra

Then, we leverage federated learning (FL) with dropout learning (DL) to train a learning model on the local dataset of users, who estimate the beamformers by feeding the model with their channel data.

Federated Learning

Non-Contact Vital Signs Detection with UAV-Borne Radars

no code implementations27 Nov 2020 Yu Rong, Richard M. Gutierrez, Kumar Vijay Mishra, Daniel W. Bliss

Aggregating radar measurements with the information from other sensors is broadening the applications of drones in life-critical situations.

Disaster Response

Hybrid Federated and Centralized Learning

no code implementations13 Nov 2020 Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra

We address this through a novel hybrid federated and centralized learning (HFCL) framework to effectively train a learning model by exploiting the computational capability of the clients.

Federated Learning

Cognitive Learning-Aided Multi-Antenna Communications

no code implementations7 Oct 2020 Ahmet M. Elbir, Kumar Vijay Mishra

We discuss DL design challenges from the perspective of data, learning, and transceiver architectures.

Federated Learning Transfer Learning

Displaced Sensor Automotive Radar Imaging

no code implementations6 Oct 2020 Guohua Wang, Kumar Vijay Mishra

Contrary to these works, we develop a displaced multiple-input multiple-output (MIMO) frequency-modulated continuous-wave (FMCW) radar signal model under coarse synchronization with only frame-level alignment.

A Survey of Deep Learning Architectures for Intelligent Reflecting Surfaces

no code implementations5 Sep 2020 Ahmet M. Elbir, Kumar Vijay Mishra

Data-driven techniques, such as deep learning (DL), are critical in addressing these challenges.

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

no code implementations29 Jul 2020 Saeid Sedighi, Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn Ottersten

To support the low-capacity links to the fusion center (FC), the range estimates obtained at individual sensors are then converted to one-bit data.

TAR

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

no code implementations26 Jun 2020 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 (MU-MIMO) communications system concurrently operate within the same frequency band.

Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning

no code implementations24 Apr 2020 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.

Direction of Arrival Estimation Transfer Learning

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

no code implementations11 Feb 2020 Kumar Vijay Mishra, M. Ashok Kumar

The relative $\alpha$-entropy is the R\'enyi analog of relative entropy and arises prominently in information-theoretic problems.

Unity

Cramér-Rao Lower Bounds Arising from Generalized Csiszár Divergences

no code implementations14 Jan 2020 M. Ashok Kumar, Kumar Vijay Mishra

We study the geometry of probability distributions with respect to a generalized family of Csisz\'ar $f$-divergences.

A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO

no code implementations20 Dec 2019 Ahmet M. Elbir, Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn Ottersten

Hybrid analog and digital beamforming transceivers are instrumental in addressing the challenge of expensive hardware and high training overheads in the next generation millimeter-wave (mm-Wave) massive MIMO (multiple-input multiple-output) systems.

Low-Complexity Limited-Feedback Deep Hybrid Beamforming for Broadband Massive MIMO Communications

no code implementations31 Oct 2019 Ahmet M. Elbir, Kumar Vijay Mishra

In broadband millimeter-wave (mm-Wave) systems, it is desirable to design hybrid beamformers with common analog beamformer for the entire band while employing different baseband beamformers in different frequency sub-bands.

Signal Processing

Doppler-Resilient 802.11ad-Based Ultra-Short Range Automotive Joint Radar-Communications System

no code implementations4 Feb 2019 Gaurav Duggal, Shelly Vishwakarma, Kumar Vijay Mishra, Shobha Sundar Ram

We present an ultra-short range IEEE 802. 11ad-based automotive joint radar-communications (JRC) framework, wherein we improve the radar's Doppler resilience by incorporating Prouhet-Thue-Morse sequences in the preamble.

Dictionary Learning for Adaptive GPR Landmine Classification

no code implementations24 May 2018 Fabio Giovanneschi, Kumar Vijay Mishra, Maria Antonia Gonzalez-Huici, Yonina C. Eldar, Joachim H. G. Ender

For the case of abandoned anti-personnel landmines classification, we compare the performance of K-SVD with three online algorithms: classical Online Dictionary Learning, its correlation-based variant, and DOMINODL.

Classification Dictionary Learning +3

Cognitive Radar Antenna Selection via Deep Learning

no code implementations27 Feb 2018 Ahmet M. Elbir, Kumar Vijay Mishra, Yonina C. Eldar

Direction of arrival (DoA) estimation of targets improves with the number of elements employed by a phased array radar antenna.

General Classification Multi-class Classification

Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional ($d\geq 2$) Off-the-Grid Frequencies

no code implementations2 Dec 2013 Weiyu Xu, Jian-Feng Cai, Kumar Vijay Mishra, Myung Cho, Anton Kruger

Recent research in off-the-grid compressed sensing (CS) has demonstrated that, under certain conditions, one can successfully recover a spectrally sparse signal from a few time-domain samples even though the dictionary is continuous.

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