179 citations · 811 across the 77 of their papers we have counts for
86 papers
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-…
Octonion Phase Retrieval
Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler +1
Signal processing over hypercomplex numbers arises in many optical imaging applications. In particular, spectral image or color stereo data are often processed using octonion algeb…
Inverse Unscented Kalman Filter
Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
Rapid advances in designing cognitive and counter-adversarial systems have motivated the development of inverse Bayesian filters. In this setting, a cognitive 'adversary' tracks it…
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…
Multi-Antenna Dual-Blind Deconvolution for Joint Radar-Communications via SoMAN Minimization
Roman Jacome, Edwin Vargas, Kumar Vijay Mishra +2
In joint radar-communications (JRC) applications such as secure military receivers, often the radar and communications signals are overlaid in the received signal. In these passive…
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…
Inverse Cubature and Quadrature Kalman filters
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 cogn…
Quantized Phase-Shift Design of Active IRS for Integrated Sensing and Communications
Zahra Esmaeilbeig, Arian Eamaz, Kumar Vijay Mishra +1
Integrated sensing and communications (ISAC) is a spectrum-sharing paradigm that allows different users to jointly utilize and access the crowded electromagnetic spectrum. In this…
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…
Machine Learning for Metasurfaces Design and Their Applications
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…
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,…
Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in Joint Radar-Communications
Jonathan Monsalve, Edwin Vargas, Kumar Vijay Mishra +2
Recent interest in integrated sensing and communications has led to the design of novel signal processing techniques to recover information from an overlaid radar-communications si…
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…
Joint Waveform and Passive Beamformer Design in Multi-IRS-Aided Radar
Zahra Esmaeilbeig, Arian Eamaz, Kumar Vijay Mishra +1
Intelligent reflecting surface (IRS) technology has recently attracted a significant interest in non-light-of-sight radar remote sensing. Prior works have largely focused on design…
Counter-Adversarial Learning with Inverse Unscented Kalman Filter
Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
In counter-adversarial systems, to infer the strategy of an intelligent adversarial agent, the defender agent needs to cognitively sense the information that the adversary has gath…
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska +3
In second-order uncertain Bayesian networks, the conditional probabilities are only known within distributions, i.e., probabilities over probabilities. The delta-method has been ap…
Inverse Extended Kalman Filter -- Part II: Highly Non-Linear and Uncertain Systems
Himali Singh, Arpan Chattopadhyay, Kumar Vijay Mishra
Counter-adversarial system design problems have lately motivated the development of inverse Bayesian filters. For example, inverse Kalman filter (I-KF) has been recently formulated…
Dual-Blind Deconvolution for Overlaid Radar-Communications Systems
Edwin Vargas, Kumar Vijay Mishra, Roman Jacome +2
The increasingly crowded spectrum has spurred the design of joint radar-communications systems that share hardware resources and efficiently use the radio frequency spectrum. We st…