5 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…