aircraft control; inertial navigation; observability; sampling methods; state estimation; aircraft control; drift rate; error-models; estimation equation; gain coefficient; inertial navigation systems; input noise statistics; laboratory tests; misalignment angle; observability degree; observable component; quantitative criteria; sampling time; scalar estimation algorithms; state vector estimation; Equations; Estimation; Mathematical model; Noise; Observability; Sea measurements; Vectors; Degree of observability; Dynamic system; Inertial navigation system; Observability of system; Scalar estimation algorithm;
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