Sensor Netting via the Discrete Time Extended Kalman Filter

An implementation is presented of the discrete time extended Kalman filter which the authors have found useful for sensor netting in a variety of tactical radar and ballistic missile defense (BMD) applications. A Potter square root version of the extended Kalman filter is used where vector measurements are processed serially. Both the state and covariance equations are initialized by processing past measurements. The initialization technique and the filter are used in two tactical radar tracking examples.

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