179 citations · 811 across the 77 of their papers we have counts for
45 papers · 1 filter
Widely Separated MIMO Radar Using Matrix Completion
Shunqiao Sun, Yunqiao Hu, Kumar Vijay Mishra +1
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. We process…
Sparse Array Design for Direction Finding using Deep Learning
Kumar Vijay Mishra, Ahmet M. Elbir, Koichi Ichige
In the past few years, deep learning (DL) techniques have been introduced for designing sparse arrays. These methods offer the advantages of feature engineering and low prediction-…
Moving Target Detection via Multi-IRS-Aided OFDM Radar
Zahra Esmaeilbeig, Arian Eamaz, Kumar Vijay Mishra +1
An intelligent reflecting surface (IRS) consists of passive reflective elements capable of altering impinging waveforms. The IRS-aided radar systems have recently been shown to imp…
Near-Field Low-WISL Unimodular Waveform Design for Terahertz Automotive Radar
Arian Eamaz, Farhang Yeganegi, Kumar Vijay Mishra +1
Conventional sensing applications rely on electromagnetic far-field channel models with plane wave propagation. However, recent ultra-short-range automotive radar applications at u…
Spatial Path Index Modulation in mmWave/THz-Band Integrated Sensing and Communications
Ahmet M. Elbir, Kumar Vijay Mishra, Asmaa Abdallah +2
As the demand for wireless connectivity continues to soar, the fifth generation and beyond wireless networks are exploring new ways to efficiently utilize the wireless spectrum and…
Multi-Carrier Wideband OCDM-Based THz Automotive Radar
Sangeeta Bhattacharjee, Kumar Vijay Mishra, Ramesh Annavajjala +1
Automotive radars at the Terahertz (THz) frequency band have the potential to be compact and lightweight while providing high (nearly-optical) angular resolution. In this paper, we…
UNO: Unlimited Sampling Meets One-Bit Quantization
Arian Eamaz, Kumar Vijay Mishra, Farhang Yeganegi +1
Recent results in one-bit sampling provide a framework for a relatively low-cost, low-power sampling, at a high rate by employing time-varying sampling threshold sequences. Another…
Cramer-Rao Lower Bound Optimization for Hidden Moving Target Sensing via Multi-IRS-Aided Radar
Zahra Esmaeilbeig, Kumar Vijay Mishra, Arian Eamaz +1
Intelligent reflecting surface (IRS) is a rapidly emerging paradigm to enable non-line-of-sight (NLoS) wireless transmission. In this paper, we focus on IRS-aided radar estimation…
Emerging Prototyping Activities in Joint Radar-Communications
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 rada…
Modern GPR Target Recognition Methods
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,…
Millimeter-Wave Radar Beamforming with Spatial Path Index Modulation Communications
Ahmet M. Elbir, Kumar Vijay Mishra, Abdulkadir Çelik +1
To efficiently utilize the wireless spectrum and save hardware costs, the fifth generation and beyond (B5G) wireless networks envisage integrated sensing and communications (ISAC)…
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques
Ahmet M. Elbir, Kumar Vijay Mishra, Sergiy A. Vorobyov +1
Beamforming is a signal processing technique to steer, shape, and focus an electromagnetic wave using an array of sensors toward a desired direction. It has been used in several en…
Terahertz-Band Integrated Sensing and Communications: Challenges and Opportunities
Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas +1
The sixth generation (6G) wireless networks aim to achieve ultra-high data transmission rates, very low latency and enhanced energy-efficiency. To this end, terahertz (THz) band is…
Federated Multi-Task Learning for THz Wideband Channel and DoA Estimation
Ahmet M. Elbir, Wei Shi, Kumar Vijay Mishra +1
This paper addresses two major challenges in terahertz (THz) channel estimation: the beam-split phenomenon, i.e., beam misalignment because of frequency-independent analog beamform…
Implicit Channel Learning for Machine Learning Applications in 6G Wireless Networks
Ahmet M. Elbir, Wei Shi, Kumar Vijay Mishra +2
With the deployment of the fifth generation (5G) wireless systems gathering momentum across the world, possible technologies for 6G are under active research discussions. In partic…
Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signals
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 i…
An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures
Peter Vouras, Kumar Vijay Mishra, Alexandra Artusio-Glimpse +4
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…
The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms
Ahmet M. Elbir, Kumar Vijay Mishra, M. R. Bhavani Shankar +1
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…
Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs
Mohammad Faisal Ahmed, Kunwar Pritiraj Rajput, Naveen K. D. Venkategowda +2
Wireless sensor networks (WSNs) are vulnerable to eavesdropping as the sensor nodes (SNs) communicate over an open radio channel. Intelligent reflecting surface (IRS) technology ca…
Phase Retrieval for Radar Waveform Design
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler +1
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. Mathematically, it is…
Co-Pulsing FDA Radar
Wanghan Lv, Kumar Vijay Mishra, Shichao Chen
Target localization based on frequency diverse array (FDA) radar has lately garnered significant research interest. A linear frequency offset (FO) across FDA antennas yields a rang…
Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective
Edwin Vargas, Kumar Vijay Mishra, Roman Jacome +2
We consider a general spectral coexistence scenario, wherein the channels and transmit signals of both radar and communications systems are unknown at the receiver. In this \textit…
Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support
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. Conventional methods do not provide an accur…
IRS-Aided Radar: Enhanced Target Parameter Estimation via Intelligent Reflecting Surfaces
Zahra Esmaeilbeig, Kumar Vijay Mishra, Mojtaba Soltanalian
The intelligent reflecting surface (IRS) technology has recently attracted a lot of interest in wireless communications research. An IRS consists of passive reflective elements cap…