no code implementations • 21 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.
no code implementations • 25 Oct 2023 • Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas
In this work, we examine near-field DoA estimation for THz automotive radar.
no code implementations • 22 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.
no code implementations • 20 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.
no code implementations • 5 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.
no code implementations • 4 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.
no code implementations • 13 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.
no code implementations • 6 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.
no code implementations • 29 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.
no code implementations • 8 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.
no code implementations • 8 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.
no code implementations • 4 Apr 2023 • Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
Rapid advances in designing cognitive and counter-adversarial systems have motivated the development of inverse Bayesian filters.
no code implementations • 23 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.
no code implementations • 22 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.
no code implementations • 18 Mar 2023 • Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
Recent research in inverse cognition with cognitive radar has led to the development of inverse stochastic filters that are employed by the target to infer the information the cognitive radar may have learned.
no code implementations • 8 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.
no code implementations • 24 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.
no code implementations • 5 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.
no code implementations • 3 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.
no code implementations • 1 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.
no code implementations • 16 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.
no code implementations • 8 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.
no code implementations • 3 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.
no code implementations • 2 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.
no code implementations • 2 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.
no code implementations • 2 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.
no code implementations • 11 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.
no code implementations • 1 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.
no code implementations • 29 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.
no code implementations • 16 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.
no code implementations • 13 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).
no code implementations • 2 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.
no code implementations • 13 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.
no code implementations • 24 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.
no code implementations • 11 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.
no code implementations • 6 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.
no code implementations • 14 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.
no code implementations • 3 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.
no code implementations • 27 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.
no code implementations • 18 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.
no code implementations • 12 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.
no code implementations • 5 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.
no code implementations • 11 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.
no code implementations • 11 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.
no code implementations • 25 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.
no code implementations • 23 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.
no code implementations • 29 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.
no code implementations • 2 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.
no code implementations • 27 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.
no code implementations • 15 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.
no code implementations • 27 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.
no code implementations • 13 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.
no code implementations • 7 Oct 2020 • Ahmet M. Elbir, Kumar Vijay Mishra
We discuss DL design challenges from the perspective of data, learning, and transceiver architectures.
no code implementations • 6 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.
no code implementations • 5 Sep 2020 • Ahmet M. Elbir, Kumar Vijay Mishra
Data-driven techniques, such as deep learning (DL), are critical in addressing these challenges.
no code implementations • 29 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.
no code implementations • 26 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.
no code implementations • 24 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.
no code implementations • 11 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.
no code implementations • 14 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.
no code implementations • 20 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.
no code implementations • 31 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
no code implementations • 4 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.
no code implementations • 24 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.
no code implementations • 27 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.
no code implementations • 2 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.