EFFICIENT TRIARRAY SYSTOLIC DESIGN FOR REAL-TIME KALMAN FILTERING.

Sun-Yuan Kung, J. N. Hwang

Research output: Contribution to journalConference article

3 Scopus citations

Abstract

Systolic Kalman (SK) filter designs are presented which are based on a triangular array (triarray) configuration. In order to facilitate the systolic design, the original algorithm for the Kalman filter estimation is reformulated in a new least-squares formulation. The design has advantages in both numerical accuracy and computational efficiency. For the case of white additive noise, the SK-W filter design uses approximately n**2/2 processors and provides a speed-up of n**2/2, with a nearly 100% utilization rate. For the case of colored additive noise, the SK-C filter design also offers comparable speed-up performance.

Original languageEnglish (US)
Pages (from-to)2041-2044
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Jan 1 1988

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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