A New Gravity Field Localization Algorithm Based on Feature Value
HU Peng
LIU Jun
ZHOU Xuewen
Abstract：Using gravity positioning method to discover the precise location of the carrier is one of new method devel‐oped in recent years .Because of the gravity field otherness of different area ,this method is not fit to aplly in all regions . This paper puts forward one new algorithm of making use of gravity feature value and grey correlation analysis to determine carrier position ,first of all building comprehensive feature value the of the matched area ,secondly according to the compre‐hensive feature value to determine whether this area is fit to use gravity positioning method by trained BP network ,finally finding out the best match point and then determining the position of the carrier in these fitted area .This paper analyzes the theoretical base of the algorithm and proposes the practical implementation algorithm .Simulation results show that the speed of that algorithms is fast and the precision of matching is high ,simultaneously which has the good resistance to the measure‐ment error .
Keywords：feature value of gravity fieldgravity field matchmatching threshold valuecomprehensive feature value
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 58-61 )