Parallel Kalman filtering on the Connection Machine

Michael A. Palis, Donald K. Krecker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

A parallel algorithm for square-root Kalman filtering has been developed and implemented on the Connection Machine (CM). Performance measurements show that the CM filter runs in time linear in the state vector size. This represents a great improvement over serial implementations, which run in cubic time. A specific multiple-target-tracking application in which several targets are to be tracked simultaneously, each requiring one or more filters, is considered. A parallel algorithm that, for fixed-size filters, runs in constant time, independently of the number of filters simultaneously processed, has been developed.

Original languageEnglish (US)
Title of host publicationProc 3 Symp Front Massively Parallel Comput Frontiers 90
PublisherPubl by IEEE
Pages55-58
Number of pages4
ISBN (Print)0818620536
StatePublished - 1990
Externally publishedYes
EventProceedings of the 3rd Symposium on the Frontiers of Massively Parallel Computation - Frontiers '90 - College Park, MD, USA
Duration: Oct 8 1990Oct 10 1990

Publication series

NameProc 3 Symp Front Massively Parallel Comput Frontiers 90

Conference

ConferenceProceedings of the 3rd Symposium on the Frontiers of Massively Parallel Computation - Frontiers '90
CityCollege Park, MD, USA
Period10/8/9010/10/90

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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