176 citations · 389 across the 18 of their papers we have counts for
19 papers
Data-Driven Target Localization: Benchmarking Gradient Descent Using the Cramer-Rao Bound
Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang +1
In modern radar systems, precise target localization using azimuth and velocity estimation is paramount. Traditional unbiased estimation methods have utilized gradient descent algo…
Subspace Perturbation Analysis for Data-Driven Radar Target Localization
Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang +3
Recent works exploring data-driven approaches to classical problems in adaptive radar have demonstrated promising results pertaining to the task of radar target localization. Via t…
Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach
Shashwat Jain, Vikram Krishnamurthy, Muralidhar Rangaswamy +2
In this paper, we exploit the spiked covariance structure of the clutter plus noise covariance matrix for radar signal processing. Using state-of-the-art techniques high dimensiona…
Data-Driven Target Localization Using Adaptive Radar Processing and Convolutional Neural Networks
Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang +3
Leveraging the advanced functionalities of modern radio frequency (RF) modeling and simulation tools, specifically designed for adaptive radar processing applications, this paper p…
High Fidelity RF Clutter Modeling and Simulation
Sandeep Gogineni, Joseph R. Guerci, Hoan K. Nguyen +4
In this paper, we present a tutorial overview of state-of-the-art radio frequency (RF) clutter modeling and simulation (M&S) techniques. Traditional statistical approximation based…
Toward Data-Driven STAP Radar
Shyam Venkatasubramanian, Chayut Wongkamthong, Mohammadreza Soltani +5
Using an amalgamation of techniques from classical radar, computer vision, and deep learning, we characterize our ongoing data-driven approach to space-time adaptive processing (ST…
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference
Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni +2
This paper considers three inter-related adversarial inference problems involving cognitive radars. We first discuss inverse tracking of the radar to estimate the adversary's estim…
How to Calibrate your Adversary's Capabilities? Inverse Filtering for Counter-Autonomous Systems
Vikram Krishnamurthy, Muralidhar Rangaswamy
We consider an adversarial Bayesian signal processing problem involving "us" and an "adversary". The adversary observes our state in noise; updates its posterior distribution of th…
Fusion of Deep Neural Networks for Activity Recognition: A Regular Vine Copula Based Approach
Shan Zhang, Baocheng Geng, Pramod K. Varshney +1
In this paper, we propose regular vine copula based fusion of multiple deep neural network classifiers for the problem of multi-sensor based human activity recognition. We take the…
Transmit MIMO Radar Beampattern Design Via Optimization on the Complex Circle Manifol
Khaled Alhujaili, Vishal Monga, Muralidhar Rangaswamy
The ability of Multiple-Input Multiple-Output (MIMO) radar systems to adapt waveforms across antennas allows flexibility in the transmit beampattern design. In cognitive radar, a p…
Semiparametric CRB and Slepian-Bangs formulas for Complex Elliptically Symmetric Distributions
Stefano Fortunati, Fulvio Gini, Maria Greco +2
The main aim of this paper is to extend the semiparametric inference methodology, recently investigated for Real Elliptically Symmetric (RES) distributions, to Complex Elliptically…
Spatio-Spectral Radar Beampattern Design for Co-existence with Wireless Communication Systems
Bosung Kang, Omar Aldayel, Vishal Monga +1
We address the problem of designing a transmit beampattern for multiple-input multiple-output (MIMO) radar considering co-existence with wireless communication systems. The designe…
Semiparametric Inference and Lower Bounds for Real Elliptically Symmetric Distributions
Stefano Fortunati, Fulvio Gini, Maria S. Greco +2
This paper has a twofold goal. The first aim is to provide a deeper understanding of the family of the Real Elliptically Symmetric (RES) distributions by investigating their intrin…
A fresh look at the Semiparametric Cramér-Rao Bound
Stefano Fortunati, Fulvio Gini, Maria S. Greco +2
This paper aims at providing a fresh look at semiparametric estimation theory and, in particular, at the Semiparametric Cramér-Rao Bound (SCRB). Semiparametric models are character…
Flawed Waveform Design of Augusto Aubry, Antonio DeMaio et al
Pawan Setlur, Muralidhar Rangaswamy
arXiv admin note: This submission has been withdrawn by arXiv administrators due to unprofessional personal attack.
Constrained Least Squares, SDP, and QCQP Perspectives on Joint Biconvex Radar Receiver and Waveform design
Pawan Setlur, Sean O'Rourke, Muralidhar Rangaswamy
Joint radar receive filter and waveform design is non-convex, but is individually convex for a fixed receiver filter while optimizing the waveform, and vice versa. Such classes of…
Relaxed Bi-quadratic Optimization for Joint Filter-Signal Design in Signal-Dependent STAP
Sean M. O'Rourke, Pawan Setlur, Muralidhar Rangaswamy +1
We investigate an alternative solution method to the joint signal-beamformer optimization problem considered by Setlur and Rangaswamy[1]. First, we directly demonstrate that the pr…
Robust Covariance Estimation under Imperfect Constraints using an Expected Likelihood Approach
Bosung Kang, Vishal Monga, Muralidhar Rangaswamy +1
We address the problem of structured covariance matrix estimation for radar space-time adaptive processing (STAP). A priori knowledge of the interference environment has been explo…
Joint Filter and Waveform Design for Radar STAP in Signal Dependent Interference
Pawan Setlur, Muralidhar Rangaswamy
Waveform design is a pivotal component of the fully adaptive radar construct. In this paper we consider waveform design for radar space time adaptive processing (STAP), accounting…