Title :
Linearization method for finding Cramer-Rao bounds in signal processing
Author_Institution :
dept. of Math. & Stat., Louisiana Tech. Univ., Ruston, LA, USA
fDate :
2/1/2000 12:00:00 AM
Abstract :
A new approach for finding and interpreting Cramer-Rao bounds in signal processing is presented in this correspondence. Using the linearization method in nonlinear models and the decoupling technique in linear models, the new method simplifies the burdensome derivations in finding Cramer-Rao bounds and offers insight to their interpretations
Keywords :
linearisation techniques; parameter estimation; signal processing; Cramer-Rao bounds; decoupling technique; linear models; linearization method; nonlinear models; signal processing; Equations; Gaussian noise; Interference cancellation; Least squares approximation; Matched filters; Mathematics; Nonlinear filters; Signal processing; Statistics; Vectors;
Journal_Title :
Signal Processing, IEEE Transactions on
