A new approach to improved filter design is presented for the radar tracking problem. An idealized version of the extended Kalman filter, which is unrealizable in practice, is constructed using a universal linearization concept, and then it is utilized for the development of a practical tracking filter. The resulting filter tunes the measurement error variance in an adaptive manner to account for the measurement nonlinearities effectively.

00573617.pdf

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