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- W2329767714 abstract "The tracking problem of the moving emitting targets using data acquired from two spacing bearing systems is the problem of interest for passive radar and navigation systems. The problem of the target's coordinates and movement parameters estimation can be solved by using the extended Kalman filter. For the given problem, state vector equations or observed signals equations are non-linear ones. In this case, the exact solution of the state vector equation estimations does not exist. Non-linearity in the equations according to Jazwinski (1970) leads to bias of the coordinates estimates and, sometimes, to the tracking process divergence. The filtering errors depend on the ratio between the equations non-linearity degree and the error variations in the channels of observation. Two versions of the algorithm for moving emitting target location using two moving passive bearing systems are considered. The first version is used when the dynamics of the target and measuring systems movement are described by a 5-dimensional state vector, the second one uses a 4-dimensional state vector. The problem of coordinates filtering is solved in polar coordinates while the observations are linearly connected with the state variables." @default.
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- W2329767714 date "1997-01-01" @default.
- W2329767714 modified "2023-09-26" @default.
- W2329767714 title "Comparative analysis of two algorithms of the Kalman filter target tracking in two position passive rearing system" @default.
- W2329767714 doi "https://doi.org/10.1049/cp:19971723" @default.
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