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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
Moreover a numerical example is presented.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:One of the essential conditions for high precision relative positioning using GNSS is resolving the double differenced carrier phase ambiguities.
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Temel Bulgular & Veri:One method used in ambiguity resolution is the LAMBDA Least-squares AMBiguity Decorrelation Adjustment method.
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Sonuç & Katkı:Moreover a numerical example is presented.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Relative Positioning · Ambiguity Resolution · Phase Observations
Abstract
One of the essential conditions for high precision relative positioning using GNSS is resolving the double differenced carrier phase ambiguities. One method used in ambiguity resolution is the LAMBDA Least-squares AMBiguity Decorrelation Adjustment method. When using the LAMBDA method, the integer ambiguity estimation is computed in two steps. First the ambiguities are decorrelated by means of Z-transformation. Then, the integer minimization problem is solved by a discrete search over an ellipsoidal region. This paper studies integer rounding, sequential conditional integer rounding and the LAMBDA method which are integer ambiguity estimators. Moreover a numerical example is presented.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Yetkin, M., İnal, C. (2010). GNSS Taşıyıcı Faz Ölçmelerinde Belirsizlik Çözümü için LAMBDA Yöntemi. Jeodezi ve Jeoinformasyon Dergisi, Sayı: 103, 15–24. https://ajindex.com/articles/208669