Innovation Based Adaptive Filter Designs For Navigation Applications
碩士 === 國立臺灣海洋大學 === 通訊與導航工程系 === 94 === Abstract To use Kalman filtering for kinematic positioning and navigation, we have to deal with both observational and kinematic models. Both of the functional models may contain global or local systematic errors. The influence functions of the systematic erro...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2006
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Online Access: | http://ndltd.ncl.edu.tw/handle/06653167136502725617 |