A Novel Application of Extended Kalman Filter for Efficient Information Processing in Subsurfaces
Dimple Juneja, Atul Kumar Sharma, Atul Kumar Sharma · International Journal of Computer Applications · 2011
desirable in such embedded systems in order to smooth out such fluctuations that otherwise would shorten the lifespan of sensors. This contribution presents a unique application of Kalman filtering technique for processing such sensitive information becaus e sensor readings are usually imprecise due to strong variations in environment and also, computation has to be much more energy efficient than communication. Out of the various filtering algorithms available, we have chosen to apply Kalman filter, primar ily because it works well both in theory and practice and moreover, it is able to minimize the variance of estimation error i.e. filters noise from the actual signal more accurately.