Comparison of geomagnetic aided navigation algorithms for hypersonic vehicles

Abstract

In this paper, we simulate, verify, and compare the performance of three classical geomagnetic matching aided navigation algorithms to assess their applicability to hypersonic vehicle navigation. Firstly, we introduce the various sources of the geomagnetic field. Secondly, we describe the principles and processes of the geomagnetic contour matching (MAGCOM) algorithm, iterative closest contour point (ICCP) algorithm, and Sandia inertial magnetic aided navigation (SIMAN) algorithm. Thirdly, we discuss the principles of inertial/geomagnetic integrated navigation, and propose the state and observation equations of integrated navigation. Finally, we perform a simulation of inertial/geomagnetic integrated navigation on the hypersonic boost-glide vehicle trajectory. The simulation results indicate that the real-time performance of the SIMAN algorithm can be optimized such that the matching accuracy is higher than that of the other two algorithms. At the same time, the SIMAN algorithm can achieve better stability, and though the amount of measurement noise can be larger, it can still achieve good positioning accuracy.

A Geomagnetic/Odometry Integrated Localization Method for Differential Robot Using Real-Time Sequential Particle Filter

“…In the same year, Zhuo et al proposed a geomagnetic vector ICCP algorithm based on searching the principle of trusted point sets, which improves the reliability of positioning compared to scalar matching [22]. In 2020, Chen et al compared the applicability of MAGCOM, ICCP, and Sandia inertial magnetic aided navigation (SIMAN) algorithms in GMN for a supersonic aircraft [23]. In the same year, Wang et al improved the geomagnetic matching algorithm based on particle swarm optimization (PSO) by using redundant information from geomagnetic measurements to constrain the particles, thus enhancing the algorithm's noise resistance capability [24].…”

Mixing and combustion in supersonic/hypersonic flows

“…They investigated the impingement morphology, the formation of the primary breakup spray half cone angle, the pressure distribution, the liquid diameter distribution and the liquid velocity distribution, and different kinds of ligament breakup patterns caused by aerodynamic force and surface tension on the axial sheet. Chen K et al (2020) compared the performance of three classical geomagnetic matching aided navigation algorithms, namely the geomagnetic contour matching (MAGCOM), iterative closest contour point (ICCP), and Sandia inertial magnetic aided navigation (SIMAN) algorithms, to assess their applicability to hypersonic vehicle navigation. They found the SIMAN algorithm to be the best, as it can achieve better stability and better positioning accuracy.…”