Title

Multirate sensor fusion for GPS using Kalman filtering, fuzzy methods, and map matching

Document Type

Conference Proceeding

Publication Date

1998

Publication Title

Proceedings of SPIE

Publisher

Society of Photo-optical Instrumentation Engineers (SPIE)

Volume

3525

First page number:

440

Last page number:

449

Abstract

With the advent of the Global Position System (GPS), we now have the ability to determine absolute position anywhere on the globe. Although GPS system work well in open environments with no overhead obstructions, they re subject to large unavoidable errors when the reception from some of the satellites is blocked. This occurs frequently in urban environments, such as downtown New York City. GPS systems require at least four satellites visible to maintain a good position 'fix', and tall buildings and tunnels often block several, if not all, of the satellites. Additionally, due to selective availability, where small amounts of error are intentionally introduced, GPS errors can typically range up to 100 ft or more. This paper proposes several methods for improving the position estimation capabilities of a system by incorporating other sensor and data technologies, including Kalman filtered inertial navigation system, rule- based and fuzzy-based senors fusion techniques, and a unique map-matching algorithm.

Keywords

Detectors; Error-correcting codes (Information theory); Global Positioning System; Kalman filtering

Permissions

Use Find in Your Library, contact the author, or use interlibrary loan to garner a copy of the article. Publisher copyright policy allows author to archive post-print (author’s final manuscript). When post-print is available or publisher policy changes, the article will be deposited

Identifier

DOI: http://dx.doi.org/10.1117/12.335722

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