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.