Implementation of factorized filter in systolic arrays

Author

Behera, Prasanta K.

Author_Institution

Florida Univ., Gainesville, FL, USA

fYear

1988

fDate

11-14 Apr 1988

Firstpage

2065

Abstract

A novel systolic array architecture is proposed to implement the factorized filter proposed by G.J. Beirman (1977). A pipelined broadcast array architecture is presented which computes the algorithm in O(n ) unit of time. The execution time required per iteration for a scalar observation is computed and shown to be less than that of the systolic Kalman filter

Keywords

Kalman filters; cellular arrays; filtering and prediction theory; iterative methods; pipeline processing; execution time; factorised filter; iteration; pipelined broadcast array architecture; scalar observation; systolic Kalman filter; systolic arrays; Computer architecture; Covariance matrix; Extraterrestrial measurements; Filters; Gaussian noise; Noise measurement; Radar signal processing; Riccati equations; Signal processing algorithms; Systolic arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.197035

Filename

197035

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3005498