activity
20162026
most citedA Novel a priori State Computation Strategy for the Unscented Kalman Filter to Improve Computational Efficiency

31 citations · 33 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SP2026

RFSoC-Based Integrated Navigation and Sensing Using NavIC

Riya Sachdeva, Aakanksha Tewari, Sumit J. Darak +2

Prior art has proposed a secondary application for Global Navigation Satellite System (GNSS) infrastructure for remote sensing of ground-based and maritime targets. Here, a passive…

astro-ph.IM2025

Time Invariant Sensor Tasking for Catalog Maintenance of LEO Space objects using Stochastic Geometry

Partha Chowdhury, Harsha M, Chinni Prabhunath Georg +2

Catalog maintenance of space objects by limited number of ground-based sensors presents a formidable challenging task to the space community. This article presents a methodology fo…

cs.RO2025

Orbital Collision: An Indigenously Developed Web-based Space Situational Awareness Platform

Partha Chowdhury, Harsha M, Ayush Gupta +1

This work presents an indigenous web based platform Orbital Collision (OrCo), created by the Space Systems Laboratory at IIIT Delhi, to enhance Space Situational Awareness (SSA) by…

astro-ph.EP2025

Modeling the position and velocity distribution of space objects by maximizing entropy with energy constraint

Partha Chowdhury, Sanat K Biswas

In this work, we have developed a 6-dimensional joint probability density function for the 3-dimensional position and 3-dimensional velocity vectors of space objects in the Low Ear…

astro-ph.EP2023★ 1 cited

Tracking an Untracked Space Debris After an Inelastic Collision Using Physics Informed Neural Network

Harsha M., Gurpreet Singh, Vinod Kumar +2

With the sustained rise in satellite deployment in Low Earth Orbits, the collision risk from untracked space debris is also increasing. Often small-sized space debris (below 10 cm)…

eess.SY2016★ 1 cited

Position and Velocity estimation of Re-entry Vehicles using Fast Unscented Kalman Filters

Sanat Biswas, Li Qiao, Andrew Dempster

Application of two new UKF based estimation techniques with reduced processing time in re-entry vehicle position and velocity estimation problem using ground-based range and elevat…

eess.SY2016

Computationally Efficient Unscented Kalman Filtering Techniques for Launch Vehicle Navigation using a Space-borne GPS Receiver

Sanat Biswas, Li Qiao, Andrew Dempster

The Extended Kalman Filter (EKF) is a well established technique for position and velocity estimation. However, the performance of the EKF degrades considerably in highly non-linea…

math.OC2016★ 31 cited

A Novel a priori State Computation Strategy for the Unscented Kalman Filter to Improve Computational Efficiency

Sanat Biswas, Li Qiao, Andrew Dempster

A priori state vector and error covariance computation for the Unscented Kalman Filter (UKF) is described. The original UKF propagates multiple sigma points to compute the a priori…