5 papers
Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-objective Optimization
Luke Snow, Vikram Krishnamurthy
Consider a target being tracked by a cognitive radar network. If the target can intercept noisy radar emissions, how can it detect coordination in the radar network? By 'coordinati…
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics
Luke Snow, Vikram Krishnamurthy
This paper provides a finite-sample analysis of a passive stochastic gradient Langevin dynamics (PSGLD) algorithm. This algorithm is designed to achieve adaptive inverse reinforcem…
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…
Adaptive ECCM for Mitigating Smart Jammers
Kunal Pattanayak, Shashwat Jain, Vikram Krishnamurthy +1
This paper considers adaptive radar electronic counter-counter measures (ECCM) to mitigate ECM by an adversarial jammer. Our ECCM approach models the jammer-radar interaction as a…
Identifying Coordination in a Cognitive Radar Network -- A Multi-Objective Inverse Reinforcement Learning Approach
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Consider a target being tracked by a cognitive radar network. If the target can intercept some radar network emissions, how can it detect coordination among the radars? By 'coordin…