LAMBDA法中二維低相關化求週波未定值演算策略之研究

Exploration of the 2-D Decorrelation Strategies for LAMBDA

張伯偈(Bo-Jie Chang)

指導教授 ： 許榮欣

國立臺灣大學/工學院/土木工程學研究所/碩士(2005年)

https://doi.org/10.6342/NTU.2005.02531

摘要

藉由目標函數之達成為準則，本研究提出六種週波未定值二維低相關化演算方法，並比較其計算效率。實驗數例顯示最小方差法、最大相關法和最小目標函數法是當中表現最佳的三個方法。然而，最小方差法的程式流程最簡單，不僅容易覓得低相關化元素所在之位置，且完成計算的時間最短。

關鍵字

二維低相關化轉換 ； 最小平方週波未定值低相關化平差

並列摘要

By fulfilling an objective function, six approaches to the 2-D decorrelation transformation for the LAMBDA are discussed and their efficiencies compared. The numerical experiments indicated that the minimum variance approach, maximum correlation approach, and minimum objective function approaches were the three better ones in terms of computational time to complete the decorrelation transformation of the ambiguity-covariance matrix to its final form. However, the minimum variance approach was the best because it had the advantage of easy-locating the entries of covariance matrix to start a decorrelation transformation and hence least time-consumption.

並列關鍵字

2-D decorrelation transformation ； LAMBDA

參考文獻

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