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An Improved ICCP Matching Algorithm for use in an Interference Environment during Geomagnetic Navigation

Published online by Cambridge University Press:  10 July 2019

Jing Xiao ,
Xiusheng Duan ,
Xiaohui Qi  and
Yifei Liu
Jing Xiao
Affiliation:
(Northwest Institute of Nuclear Technology, No. 28, Pingyu Road, Xi'an 710024, PR China)
Xiusheng Duan*
Affiliation:
(Shijiazhuang Tiedao University, No. 17, North Second Ring Road, Shijiazhuang 050043, PR China)
Xiaohui Qi
Affiliation:
(Army Engineering University, No. 97, Hepingxi Road, Shijiazhuang 050003, PR China)
Yifei Liu
Affiliation:
(Northwest Institute of Nuclear Technology, No. 28, Pingyu Road, Xi'an 710024, PR China)
*
(E-mail: sjzdxsh@163.com)
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Abstract

The Iterated Closest Contour Point (ICCP) algorithm is widely used in geomagnetic navigation. In order to enhance the anti-interference performance of the ICCP, an improved algorithm is proposed. First, the principle of delta modulation is introduced to generate a geomagnetic matching sequence according to the magnetic fluctuations, this assists finding the optimal quantitative step and matching length; thus, the algorithm's accuracy and real-time performance are improved. Second, in order to solve the problem of geomagnetic matching under an interference environment, a Probability Data Association (PDA) algorithm based on regenerated measurements is adopted. The ideal magnetic value is regarded as a target, and the measured values within the confidence region are taken as the effective measurements of the target. Each of them will give an estimation of the vehicle's position. Considering the constraints of a vehicle's kinematic performance, its final position can be obtained by fusing all effective estimations with the PDA algorithm. Simulation and semi-physical experiments have verified the feasibility and effectiveness of the proposed algorithm. The Regenerated Measurements (RM)-PDA algorithm shows better performance and can be used in practical applications.

Keywords

Geomagnetic-aided navigationGeomagnetic anomalyICCP algorithmDelta modulationProbability data association
Type
Research Article
Information
The Journal of Navigation , Volume 73 , Issue 1 , January 2020 , pp. 56 - 74
Copyright
Copyright © The Royal Institute of Navigation 2019 

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