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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/1403


    Title: GPS即時動態定位最佳化演算法比較研究;A Comparative Study of Optimal Algorithms for Real-Time Kinematic GPS Positioning
    Authors: 謝吉修;Jie-shiou Hsieh
    Contributors: 土木工程學系碩士在職專班
    Keywords: 全球衛星定位系統;方差分量估計;解關聯;Decorrelation;BIQUE;GPS;Variance Component
    Date: 2003-06-20
    Issue Date: 2009-09-21 09:28:31 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 利用GPS衛星訊號的觀測量進行即時動態定位,在有限的單時刻訊號觀測量數據與極短時間內要完成動態定位演算,最大的困難即是整數相位模稜(Phase Ambiguity)、幾何坐標分量與電離層延遲之間參數高相關的問題,造成整數相位模稜值非常不易正確求解。本論文研究即在探討如何使參數與觀測式間,組合最佳化之演算工作模式,並應用方差無偏差估計技術-- BIQUE估計式,估計方差分量,使訊號觀測量數據回饋提供最佳化無偏差之先驗資訊,讓隨機模式能更接近事實,以強化解關聯演算技術之工作效能,使整數相位模稜估計求解正確且更具效率。並引用卡曼濾波器進一步探討附加參數對幾何定位之影響與效益,期獲得最佳之精確定位成果。 Using GPS data for real-time kinematic differential positioning, the most difficulty is to solve high correlation between ambiguities, geometry and ionospheric parameters. Precise estimation of GPS phase ambiguity integer is a key. In this study, some possible enhancements which try to take advantage of the structure between the parameters and double-differenced observation equations in the data processing will be given, and take an algorithm of variance and covariance component unbiased estimation — BIQUE. Let the stochastic model close to truth, and fast solve integer phase ambiguity resolution while a decorrelation method is applied. This study will discuss how to increase the parameters to geometry position effectively when the Kalman filter is used.
    Appears in Collections:[土木工程學系碩士在職專班] 博碩士論文

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