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20222025
most citedInverse Extended Kalman Filter -- Part I: Fundamentals

2 citations · 2 across the 8 of their papers we have counts for

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8 papers

eess.SP2025

Multi-target Range, Doppler and Angle estimation in MIMO-FMCW Radar with Limited Measurements

Chandrashekhar Rai, Himali Singh, Arpan Chattopadhyay

Multiple-input multiple-output (MIMO) radar offers several performance and flexibility advantages over traditional radar arrays. However, high angular and Doppler resolutions neces…

math.OC2024

Inverse Particle Filter

Himali Singh, Arpan Chattopadhyay, Kumar Vijay Mishra

In cognitive systems, recent emphasis has been placed on studying the cognitive processes of the subject whose behavior was the primary focus of the system's cognitive response. Th…

math.OC2023

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…

math.OC2023

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…

eess.SP2023

Multi-target Range and Angle detection for MIMO-FMCW radar with limited antennas

Himali Singh, Arpan Chattopadhyay

Multiple-input multiple-output (MIMO) radar has several advantages with respect to the traditional radar array systems in terms of performance and flexibility. However, in order to…

math.OC2022

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…

math.OC2022

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…

math.OC2022★ 2 cited

Inverse Extended Kalman Filter -- Part I: Fundamentals

Himali Singh, Arpan Chattopadhyay, Kumar Vijay Mishra

Recent advances in counter-adversarial systems have garnered significant research attention to inverse filtering from a Bayesian perspective. For example, interest in estimating th…