A covariance matrix is a mathematical representation that captures the variance and covariance between multiple random variables. It is essential in estimating the uncertainty of a state in systems like filtering, especially when dealing with sensor data in applications like attitude estimation and control. The covariance matrix helps in understanding how changes in one variable might affect others, providing insights into the overall system's behavior and reliability.
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