L1-norm optimisation of rank deficient GNSS networks by an improved Grey Wolf method-Reference-Cited by-同舟云学术

L1-norm optimisation of rank deficient GNSS networks by an improved Grey Wolf method

Published:2024-03-12 Issue: Volume: Page:1-7
ISSN:0039-6265
Container-title:Survey Review
language:en
Short-container-title:Survey Review

Author:

Mahboub V.¹²,Ebrahimzadeh S.³,Baghani A.¹,Rastegar A.¹,Zanganeh M.²

Affiliation:

1. Department of Surveying Engineering, Faculty of Engineering, Golestan University, Aliabad Katoul, Iran

2. Hydroinformatic Research Group, Environmental Hazard Research Institute, Golestan University, Gorgan, Iran

3. Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00396265.2024.2327124

Reference20 articles.

1. Formulation of L1 Norm Minimization in Gauss-Markov Models

2. Performance comparison of least squares, iterative and global L1 norm minimization and exhaustive search methods for outlier detection in leveling networks

3. Global Optimization Solution of Robust Estimation

4. Global robust estimation and its application to GPS positioning

5. De litteraria expeditione per pontificiam ditionem, et synopsis amplioris operis, ac habentur plura ejus ex exemplaria etiam sensorum impessa;Boscovich R.J.;Bononiensi scientiarum et artum instuto atque academia commentarii,1757

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