10 citations · 16 across the 16 of their papers we have counts for
16 papers
Risk Sensitive Filtering for Singular Systems subject to Round-Robin Protocol
Ashna Goel, Shovan Bhaumik, Nutan Kumar Tomar
This paper develops a risk sensitive (RS) Kalman filtering framework for discrete-time linear stochastic singular systems operating under communication constraints imposed by a rou…
Consensus Tracking of an Underwater Vehicle Using Weighted Harmonic Mean Density
Ved Prakash Dubey, Shovan Bhaumik
This paper addresses an underwater target tracking problem in which a large number of sonobuoy sensors are deployed on a surveillance region. The region is divided into several sub…
Bearing-only Tracking using Towed Sensor-Array with Non-Gaussian Measurement Noise Statistics
Rohit Kumar Singh, Subrata Kumar, Shovan Bhaumik
Passive bearing-only tracking (BOT) estimates the target states by utilising noisy bearing measurements captured by a sensor array. The sensor array is often towed behind the ship,…
Gaussian Integral based Bayesian Smoother
Rohit Kumar Singh, Kundan Kumar, Shovan Bhaumik
This work introduces the Gaussian integration to address a smoothing problem of a nonlinear stochastic state space model. The probability densities of states at each time instant a…
On Pooling-Based Track Fusion Strategies : Harmonic Mean Density
Nikhil Sharma, Shovan Bhaumik, Ratnasingham Tharmarasa +1
In a distributed sensor fusion architecture, using standard Kalman filter (naive fusion) can lead to degraded results as track correlations are ignored and conservative fusion stra…
Trigonometric Moments of a Generalized von Mises Distribution in 2-D Range-Only Tracking
Nikhil Sharma, Shovan Bhaumik, Ratnasingham Tharmarasa +1
A 2D range-only tracking scenario is non-trivial due to two main reasons. First, when the states to be estimated are in Cartesian coordinates, the uncertainty region is multi-modal…
Dynamics of a Towed Cable with Sensor-Array for Underwater Target Motion Analysis
Rohit Kumar Singh, Subrata Kumar, Shovan Bhaumik
During a war situation, many times an underwater target motion analysis (TMA) is performed using bearing-only measurements, obtained from a sensor array, which is towed by an own-s…
Maximum Correntropy Polynomial Chaos Kalman Filter for Underwater Navigation
Rohit Kumar Singh, Joydeb Saha, Shovan Bhaumik
This paper develops an underwater navigation solution that utilizes a strapdown inertial navigation system (SINS) and fuses a set of auxiliary sensors such as an acoustic positioni…
Tracking an Underwater Target with Unknown Measurement Noise Statistics Using Variational Bayesian Filters
Shreya Das, Kundan Kumar, Shovan Bhaumik
This paper considers a bearings-only tracking problem using noisy measurements of unknown noise statistics from a passive sensor. It is assumed that the process and measurement noi…
Risk Sensitive Filtering with Randomly Delayed Measurements
Ranjeet Kumar Tiwari, Shovan Bhaumik
Conventional Bayesian estimation requires an accurate stochastic model of a system. However, this requirement is not always met in many practical cases where the system is not comp…
Modeling and Estimation for Systems with Randomly Delayed Measurements and Packet Dropouts
Ranjeet Kumar Tiwari, Shovan Bhaumik
A networked system often uses a shared communication network to transmit the measurements to a remotely located estimation center. Due to the limited bandwidth of the channel, a de…
Robust Maximum Correntropy Kalman Filter
Joydeb Saha, Shovan Bhaumik
The Kalman filter provides an optimal estimation for a linear system with Gaussian noise. However when the noises are non-Gaussian in nature, its performance deteriorates rapidly.…
Resolving Left-Right Ambiguity During Bearing Only Tracking of an Underwater Target Using Towed Array
Shreya Das, Ranjeet Kumar Tiwari, Shovan Bhaumik
In bearing only tracking using a towed array, the array can sense the bearing angle of the target but is unable to differentiate whether the target is on the left or the right side…
Nonlinear State Estimation using Gaussian Integral
Kundan Kumar, Shovan Bhaumik
In this letter, a new filtering technique to solve a nonlinear state estimation problem has been developed. It is well known that for a nonlinear system, the prior and posterior pr…
Adaptive Sparse-grid Gauss-Hermite Filter
Abhinoy Kumar Singh, Rahul Radhakrishnan, Shovan Bhaumik +1
In this paper, a new nonlinear filter based on sparse-grid quadrature method has been proposed. The proposed filter is named as adaptive sparse-grid Gauss-Hermite filter (ASGHF). O…
Particle Filter for Randomly Delayed Measurements with Unknown Latency Probability
Ranjeet Kumar Tiwari, Shovan Bhaumik, Paresh Date
This paper focuses on designing a particle filter for randomly delayed measurements with an unknown latency probability. A generalized measurement model is adopted which includes m…