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In this paper, we present a new approach to the problem of simultaneous distributed localization for multiple autonomous underwater vehicles(MAUVs). Cooperative localization(CL) is a crucial cycle for long range navigation of MAUVs. In the leader-follower cooperative structure, a collective estimator is processed in the form of a extended Kalman filter. Different from the normal decentralized filter...
In this paper, we consider the problem of cooperative localization (CL) with communication delays for multiple autonomous underwater vehicles(MAUVs). Localization is a crucial cycle for long range navigation of MAUVs. In the leader-follower cooperative structure, one master AUV is equipped with high precision navigation system, and several slaver AUVs are equipped with low precision navigation system...
For the dynamics system of multiple launch rocket s, measuring error of ballistic parameters will appear under the influence of noise disturbance signals. The method of filtrating and estimating the ballistic parameters in the flight of multiple launch rocket is putted forward based on the theory of Kalman filter in this paper. And a filtrating example is also demonstrated in order to get more precise...
Simultaneous localization and mapping (SLAM) is a central and complex problem in robot research community. In SLAM, extended Kalman filter (EKF) implementation is widely used to localize the robot and build the environment map incrementally. In this paper, we propose a strong tracking filter (STF) SLAM algorithm. This algorithm applies STF to deal with the non-linear estimated problem in SLAM instead...
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