2018
DOI: 10.1177/0954410018793290
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Geomagnetic gradient bionic navigation based on the parallel approaching method

Abstract: The priori geomagnetic map, which is difficult to obtain in practice, has a great effect on geomagnetic-aided navigation. In this paper, we propose a geomagnetic gradient bionic navigation method based on parallel approaching without a reference map. From the viewpoint of bionics, an objective function is developed to describe the convergence of geomagnetic navigation. According to the parallel approaching method, the radio equation of geomagnetic variation is proposed, and the heading angle is obtained by the… Show more

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Cited by 7 publications
(2 citation statements)
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“…These features and the corresponding gradient information are related to geographical location and can be regarded as reliable navigation sources [1]. Geomagnetic navigation has the characteristics of high accuracy and strong anti-interference ability [2]. It can work under all-weather, all-day, and all-region conditions, and has advantages that cannot be replaced by other navigation methods.…”
Section: Introductionmentioning
confidence: 99%
“…These features and the corresponding gradient information are related to geographical location and can be regarded as reliable navigation sources [1]. Geomagnetic navigation has the characteristics of high accuracy and strong anti-interference ability [2]. It can work under all-weather, all-day, and all-region conditions, and has advantages that cannot be replaced by other navigation methods.…”
Section: Introductionmentioning
confidence: 99%
“…Wang CY et al (2019) proposed a geomagnetic matching algorithm involving simulated annealing based constrained particle swarm optimization to enhance the accuracy and efficiency of geomagnetic matching. Zhou et al (2019) proposed a geomagnetic gradient bionic navigation system based on a parallel approximation method, which can achieve effective navigation without a non-priori geomagnetic reference map, by estimating the heading angel of the carrier.…”
Section: Introductionmentioning
confidence: 99%