Title :
Kalman filtering and systolic processors
Author_Institution :
California State University, Long Beach, CA, USA
Abstract :
A new parallel computing structure of the systolic array type for implementing the Kalman filter for state-space estimation is presented. This corresponds to the adjustment of Kalman filter algorithms to the type of the Faddeev algorithm. The Faddeev algorithm provides a wide range of matrix computational capabilities and it maps easily into a concurrent systolic array architecture. The special arrangement for the data flow mapping from Kalman filter to Faddeev algorithm, and from Faddeev algorithm to architecture are presented.
Keywords :
Computer architecture; Concurrent computing; Covariance matrix; Filtering; Kalman filters; Noise measurement; Radar signal processing; Signal processing algorithms; State estimation; Systolic arrays;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
DOI :
10.1109/ICASSP.1986.1168641