Statement I: A Kalman filter can estimate the gyro biases themselves.
Statement II: A fixed complementary filter can also estimate them.
In the light of the above statements, choose the correct answer.
Answer: A
Correct answer: Statement I is correct but Statement II is incorrect
Statement I is correct. A Kalman filter can include the gyro biases as states in its model, so that each time the accelerometer or magnetometer reference disagrees with the propagated attitude, the filter attributes part of the discrepancy to bias and updates its estimate. The biases are then subtracted from the raw rates continuously.
Statement II is incorrect. A fixed complementary filter has no states beyond the blended output and no covariance to reason with; it can only suppress the effect of a bias through its crossover, never estimate the bias itself. That capability is one of the main reasons the Kalman formulation displaced it.
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