Full tensor gravity gradient aided navigation based on nearest matching neural network

Xiong, Liansong; Xiao, Lin; Dan, Bin Bin; Ma, Jie

doi:10.1109/csqrwc.2013.6657455

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…In response to the above problems, the matching algorithm has been improved to increase its precision and real-time performance. In similar studies, a neural network has been applied in gravity-aided navigation and the correct matching probability has been enhanced (Xiong et al, 2013). In addition, the efficiency of the algorithm has been improved by introducing an intelligent optimisation algorithm (Rajalkshmi and Dinakaran, 2017).…”

Section: Introductionmentioning

confidence: 99%

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

Xiao

Duan

et al. 2019

J. Navigation

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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.

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Section: Introductionmentioning

confidence: 99%