Error intensity measures for multi-parameter tracking and passive bearing estimation
J.K. Kim, Alfred O. Hero · International Conference on Acoustics, Speech, and Signal Processing · 2003
A general method is presented for approximating the global error performance of ML (maximum likelihood)-type multiparameter estimators. Comparisons between the global approximation to the mean square error for known and unknown nuisance parameters indicate the degree to which nuisance parameters degrade the performance of ML estimators. The results of a numerical study illustrate the implementation of the method for time delay estimation in cases of coherent interference and Doppler effect.>