Rachit Bhatia
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Rachit Bhatia has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
David Geller
Mechanical and Aerospace Engineering Utah State University Logan Utah United States
1 shared publication- Gerardo Josue Rivera Santos1 shared publication
- Jacob D. Griesbach1 shared publication
Piyush M. Mehta
1 shared publication
Latest Publications
- Open Access
- 1 January 2025
- Published by Elsevier in Acta Astronautica
- Vol. 228, 985-995
A novel stochastic unscented transform for probabilistic drag modeling and conjunction assessment
- 1 January 2025
- Published by Elsevier in Acta Astronautica
- Vol. 228, 985-995
Open AccessA novel stochastic unscented transform for probabilistic drag modeling and conjunction assessment
- 31 October 2020
- Published by Institute of Navigation in NAVIGATION: Journal of the Institute of Navigation
- Vol. 67 (4) , 795-822
Sensitivity Analysis of Precision Inertial Sensor‐based Navigation System (SAPIENS)
The future of deep space exploration depends upon technological advancement towards improving spacecraft's autonomy and versatility. This study aims to examine the feasibility of autonomous orbit determination using advanced accelerometer measurements. The objective of this research is to ascertain specific sensor requirements to meet pre‐defined mission navigation error budgets. Traditional inertial navigation (dead reckoning and external aiding) is not considered. Instead, measurements from pairs of advanced, highly sensitive accelerometers (e.g., cold atom accelerometers) are used onboard to determine gravity field gradients, which are then correlated to onboard gravity maps and used to determine orbital information. Linear Covariance Theory helps to efficiently conduct an error budget analysis of the system. This error budget analysis helps to determine the effect of specific error sources in the sensor measurements, thereby providing information to rank and compare relevant sensor parameters and determine an optimal sensor configuration for a given space mission. The procedure is repeated to evaluate different accelerometer configurations and sensor parameters.
- 31 October 2020
- Published by Institute of Navigation in NAVIGATION: Journal of the Institute of Navigation
- Vol. 67 (4) , 795-822
Sensitivity Analysis of Precision Inertial Sensor‐based Navigation System (SAPIENS)
The future of deep space exploration depends upon technological advancement towards improving spacecraft's autonomy and versatility. This study aims to examine the feasibility of autonomous orbit determination using advanced accelerometer measurements. The objective of this research is to ascertain specific sensor requirements to meet pre‐defined mission navigation error budgets. Traditional inertial navigation (dead reckoning and external aiding) is not considered. Instead, measurements from pairs of advanced, highly sensitive accelerometers (e.g., cold atom accelerometers) are used onboard to determine gravity field gradients, which are then correlated to onboard gravity maps and used to determine orbital information. Linear Covariance Theory helps to efficiently conduct an error budget analysis of the system. This error budget analysis helps to determine the effect of specific error sources in the sensor measurements, thereby providing information to rank and compare relevant sensor parameters and determine an optimal sensor configuration for a given space mission. The procedure is repeated to evaluate different accelerometer configurations and sensor parameters.