On lattice reduction algorithms for solving weighted integer least squares problems: comparative study

Decorrelation or reduction theory deals with identifying appropriate lattice bases that aid in accelerating integer search to find the optimal integer solution of the weighted integer least squares problem. Orthogonality defect has been widely used to measure the degree of orthogonality of the reduc...

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Veröffentlicht in:	GPS solutions Jg. 18; H. 1; S. 105 - 114
Hauptverfasser:	Jazaeri, Shahram, Amiri-Simkooei, Alireza, Sharifi, Mohammad Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2014 Springer Nature B.V
Schlagworte:	Algorithms Ambiguity resolution (mathematics) Atmospheric Sciences Automotive Engineering Comparative studies Computer simulation Defects Earth and Environmental Science Earth Sciences Economic models Electrical Engineering Estimating techniques Geophysics/Geodesy Global positioning systems GPS Integers Least squares method Original Article Orthogonality Reduction Search process Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Spatial data Upper bounds Seysen’s reduction algorithm LAMBDA decorrelation algorithm Integer least squares estimation Lattice theory Closest lattice point problem LLL decorrelation algorithm
ISSN:	1080-5370, 1521-1886
Online-Zugang:	Volltext
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