Data processing of shipborne absolute gravity measurement based on extended Kalman filter algorithm

Predictive Angle Tracking Algorithm Based on Extended Kalman Filter

In the case of moving sources, various target angle tracking algorithms have been proposed and reported in the literature for multiple narrow-band targets. Yang and Kaveh proposed an iterative adaptive eigen-subspace method in conjunction with the multiple signal classification (MUSIC) algorithm to track the DOA angles of multiple targets (Yang & Kaveh, 1988). Due to the data association proble...

Ultrasonic-Based Distance Measurement Through Discrete Extended Kalman Filter

Ultrasonic-based measurements are extensively used both in research and production field, spanning in endless applications: environment sensing of autonomous mobile robots, high definition imaging of biomedical devices, precise location of micro-flaws in materials, accurate estimation of the level of flammable fluids or dangerous rivers, and so on. The reason of this success mainly relies upon ...

Extended Kalman Filter Based Fuzzy Adaptive Filter

Vehicle Tracking based on Kalman Filter Algorithm

Received signal strength indicator (RSSI) is a difficult technique to accurately estimate the distance between two participating entities because of the obscure environmental factors that distort the signal’s strength. In this study, we demonstrate that RSSI can be used in combination with the Kalman Filter to identify the position of a node in a wireless vehicular network. By observing a serie...

Improved CAMshift Algorithm Based on Kalman Filter

In this paper, we describe a Continuously Adaptive Mean Shift (CAMshift) algorithm with a Kalman filter. A CAMshift algorithm does not consider an object’s direction vectors and velocity. In addition, sometimes, CAMshift loses the tracked object when the color of the background is similar to that of the object. However, using a Kalman filter with the CAMshift algorithm can overcome these disadv...