A reconnaissance drone's onboard computer uses a Kalman filter, which relies on matrix inversion, to estimate its position. Which outcome occurs when the state transition matrix becomes singular?

💡 Explanation

When the state transition matrix is singular, its determinant is zero, making it non-invertible. The Kalman filter needs the inverse for updating its state estimate; therefore, the position estimate becomes uncomputable, rather than other effects on power or control, because the matrix inversion step fails.

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