Abstract
A technique for processing correlated observations suitable for large, sparse, least-squares adjustments is reviewed. Correlated coordinate differences derived from the Global Positioning System are used as illustrative examples. However, the methods examined are suitable for all types of correlated observations. The computation of variances of residuals, redundancy numbers, and marginally detectable errors is considered for sparse systems.
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Milbert, D.G. A note on observation decorrelation, variances of residuals, and redundancy numbers. Bull. Geodesique 59, 71–80 (1985). https://doi.org/10.1007/BF02519341
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DOI: https://doi.org/10.1007/BF02519341