Title :
Nonlinear signal processing vs. Kalman filtering
Author :
Ramamoorthy, P.A. ; Zavaljevski, Aleksandar
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Abstract :
A unique and powerful paradigm or methodology for the design of nonlinear dynamical systems and signal processing algorithms is reported. Some aspects of this approach are discussed, and the results of the application of this approach in signal estimation are given. The results are compared with that of Kalman filtering, which is essentially filtering using a filter with a time-varying coefficient (Kalman gain). The results indicate that the new nonlinear signal processing (NLSP) approach is superior and more robust as compared to Kalman filtering
Keywords :
Kalman filters; filtering theory; signal processing; Kalman filtering; nonlinear dynamical systems; nonlinear signal processing; signal estimation; signal processing algorithms; time-varying coefficient; Algorithm design and analysis; Design methodology; Estimation; Filtering; Kalman filters; Nonlinear dynamical systems; Robustness; Signal design; Signal processing; Signal processing algorithms;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393649
