首页|An innovative PSO-ICCP matching algorithm for geomagnetic navigation

An innovative PSO-ICCP matching algorithm for geomagnetic navigation

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  • NSTL
  • Elsevier
? 2022 Elsevier LtdGeomagnetic aided navigation is an effective approach to eliminate the cumulative error in inertial navigation system (INS). Iterative closest contour point (ICCP) geomagnetic matching algorithm is sensitive to initial error, which will degrade the navigation accuracy greatly. To solve the problem, ICCP and particle swarm optimization (PSO) are improved separately, and an innovative PSO-ICCP geomagnetic matching algorithm is proposed. Firstly, a multi-attribute decision-making problem is introduced to optimize the output of ICCP. Secondly, PSO and ICCP are combined to diminish the sensitive of ICCP to initial error with the global search capability of PSO. Finally, to improve the performance of PSO, a particle initialization strategy is adopted using sliding window and quad-tree. Experimental results verified that PSO-ICCP can effectively reduce INS error. When magnetic measurement noise is 15nT, the position error and heading error are reduced from 1318.83 m, 7.83° to 23.51 m, 2.08°, which is more accurate compared with state-of-art algorithm.

Geomagnetic aided navigationGeomagnetic matching algorithmIterative closest contour pointParticle swarm optimization

Xu N.、Wang L.、Wu T.、Yao Z.

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Key Laboratory of Micro-inertial Instrument and Advanced Navigation Technology Ministry of Education School of Instrument Science and Engineering Southeast University

State Key Laboratory of Geo-Information Engineering

2022

10.1016/j.measurement.2022.110958

Measurement

Measurement

SCI
ISSN：0263-2241
年,卷(期)：2022.193
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