
Nonlinear Filters
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For a nonlinear filtering problem, the most heuristic andeasiest approximation is to use the Taylor series expansionand apply the conventional linear recursive Kalman filteralgorithm directly to the linearized nonlinear measurementand transition equations. First, it is discussed that theTaylor series expansion approach gives us the biasedestimators. Next, a...
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For a nonlinear filtering problem, the most heuristic andeasiest approximation is to use the Taylor series expansionand apply the conventional linear recursive Kalman filteralgorithm directly to the linearized nonlinear measurementand transition equations. First, it is discussed that theTaylor series expansion approach gives us the biasedestimators. Next, a...
Read more
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