Robust angle only nine state target state estimator (TSE)
A nine-state, angle technology, applied in the field of improved distance estimation, can solve the problem of limiting the estimation accuracy of the baseline TSE design method
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[0032] Kalman filtering, also known as Linear Quadratic Estimation (LQE), is an algorithm that uses a series of measurements observed over time, including statistical noise and other inaccuracies, and estimates The joint probability distributions of the internal variables produce estimates of the unknown variables that are often more accurate than those based on a single measurement alone. As a general concept, existing knowledge of a state is used at a subsequent time step to predict that step (eg based on a physical model). This step is updated with additional measurement data and there is an output estimate for the current state. This is an iterative process. Essentially, the algorithm works in two steps. In the prediction step, Kalman filtering produces estimates of the current state variables and their uncertainties. Once the results of the next measurement are observed (which are bound to be corrupted by a certain amount of error, including random noise), these estima...
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