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On-line Access: 2020-06-10

Received: 2019-12-27

Revision Accepted: 2020-03-16

Crosschecked: 2020-07-21

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Kai Chen


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Journal of Zhejiang University SCIENCE A 2020 Vol.21 No.8 P.673-683


Comparison of geomagnetic aided navigation algorithms for hypersonic vehicles

Author(s):  Kai Chen, Wen-chao Liang, Ming-xin Liu, Han-yan Sun

Affiliation(s):  School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China

Corresponding email(s):   chenkai@nwpu.edu.cn

Key Words:  Geomagnetic navigation, Contour, Geomagnetic elements, Integrated navigation, Kalman filter

Kai Chen, Wen-chao Liang, Ming-xin Liu, Han-yan Sun. Comparison of geomagnetic aided navigation algorithms for hypersonic vehicles[J]. Journal of Zhejiang University Science A, 2020, 21(8): 673-683.

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%A Ming-xin Liu
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%DOI 10.1631/jzus.A1900648

T1 - Comparison of geomagnetic aided navigation algorithms for hypersonic vehicles
A1 - Kai Chen
A1 - Wen-chao Liang
A1 - Ming-xin Liu
A1 - Han-yan Sun
J0 - Journal of Zhejiang University Science A
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DOI - 10.1631/jzus.A1900648

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.


目的:验证三种经典的地磁匹配辅助导航算法在临近空间高超声速飞行器导航中的适用性. 探讨和比较地磁轮廓匹配(MAGCOM)、沿等值线最近点迭代(ICCP)和桑迪亚地磁辅助导航(SIMAN)算法在助推-滑翔高超声速飞行器导航中的实时性、稳定性和定位精度.
方法:1. 分析地球磁场组成部分的时变特性,并选取地球主磁场作为地磁匹配辅助导航的地磁基准图. 2. 根据三种地磁匹配算法的原理,分别总结出三种算法的流程和步骤; 根据惯性/地磁组合导航的原理,给出组合导航的状态方程和观测方程. 3. 根据世界地磁场模型(WMM)得出地磁基准图,并在简化的助推-滑翔飞行器弹道上对三种算法在不同的磁误差条件下进行仿真验证和比较.
结论:1. 在磁误差很小的情况下,SIMAN算法和MAGCOM算法的定位精度都很高; 在磁误差较大的情况下,SIMAN算法的精度最高. 2. SIMAN算法的稳定性最好,而MAGCOM算法的稳定性最差. 3. SIMAN算法的实时性最好,而ICCP算法的实时性最差.

关键词:地磁导航; 等值线; 地磁要素; 组合导航; 卡尔曼滤波

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[1]Chen K, 2017. Strapdown inertial navigation algorithm for hypersonic boost-glide vehicle. 21st AIAA International Space Planes and Hypersonics Technologies Conference, Article 2174.

[2]Chen K, Shen FQ, Sun HY, et al., 2019. Hypersonic vehicle navigation algorithm in launch centered earth-fixed frame. Journal of Astronautics, 40(10):1212-1218 (in Chinese).

[3]Chen K, Zhou J, Shen FQ, et al., 2020. Hypersonic boost–glide vehicle strapdown inertial navigation system/global positioning system algorithm in a launch-centered earth-fixed frame. Aerospace Science and Technology, 98: 105679.

[4]Chen Z, Zhang Q, Pan MC, et al., 2018. A new geomagnetic matching navigation method based on multidimensional vector elements of earth’s magnetic field. IEEE Geoscience and Remote Sensing Letters, 15(8):1289-1293.

[5]He YP, Liu XX, Cai YP, et al., 2016. Research on aided navigation based on terrain elevation matching and simulation. Proceedings of the Photoelectronic Technology Committee Conferences, Article 97962X.

[6]Li L, Wang GH, Yu HB, et al., 2017. A TBD algorithm for near space hypersonic target. Journal of Astronautics, 38(4):420-427 (in Chinese).

[7]Liao L, Yan L, Huang W, et al., 2018. Mode transition process in a typical strut-based scramjet combustor based on a parametric study. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 19(6):431-451.

[8]Lu JZ, Yang L, 2018. Optimal scheme of star observation of missile-borne inertial navigation system/stellar refraction integrated navigation. Review of Scientific Instruments, 89(5):054501.

[9]Lv Z, Xia ZX, Liu B, et al., 2017. Preliminary experimental study on solid-fuel rocket scramjet combustor. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 18(2):106-112.

[10]Ma T, Li Y, Jiang YQ, et al., 2018. A dynamic path planning method for terrain-aided navigation of autonomous underwater vehicles. Measurement Science and Technology, 29(9):095105.

[11]Montenbruck O, Steigenberger P, Hauschild A, 2018. Multi-GNSS signal-in-space range error assessment– methodology and results. Advances in Space Research, 61(12):3020-3038.

[12]NCEI (National Centers for Environmental Information), 2019. The World Magnetic Model. NCEI, USA. https://www.ngdc.noaa.gov/geomag/WMM/index.html

[13]Putman N, 2018. Marine migrations. Current Biology, 28(17):R972-R976.

[14]Qi XK, Ye DX, Sun YZ, et al., 2017. Simulations to true animals’ long-distance geomagnetic navigation. IEEE Transactions on Magnetics, 53(1):5200108.

[15]Song ZG, Zhang JS, Zhu WQ, et al., 2016. The vector matching method in geomagnetic aiding navigation. Sensors, 16(7):1120.

[16]Wang CY, Wang CY, Ji CJ, 2019. A simulated annealing based constrained particle swarm optimization algorithm for geomagnetic matching. Electronic Design Engineering, 27(7):153-157 (in Chinese).

[17]Wang JX, Li YZ, Yu XK, et al., 2018. Investigation of heat transfer mechanism of low environmental pressure large-space spray cooling for near-space flight systems. International Journal of Heat and Mass Transfer, 119: 496-507.

[18]Wang SP, Zhao JH, Wu ZY, 2017. A Study of Key Positioning Technologies in Underwater Geomagnetic Matching Navigation. China University of Geosciences Press, Wuhan, China, p.149 (in Chinese).

[19]Wang YY, Yang XX, Yan HC, 2019. Reliable fuzzy tracking control of near-space hypersonic vehicle using aperiodic measurement information. IEEE Transactions on Industrial Electronics, 66(12):9439-9447.

[20]Wei EH, Dong CJ, Yang YL, et al., 2017. A robust solution of integrated SITAN with TERCOM algorithm: weight-reducing iteration technique for underwater vehicles’ gravity-aided inertial navigation system. Navigation, 64(1):111-122.

[21]Wen X, Liu J, Li J, et al., 2019. Design and numerical simulation of a clamshell-shaped inlet cover for air-breathing hypersonic vehicles. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 20(5):347-357.

[22]Wu FH, Zhang Q, Pan MC, et al., 2018. Study on geomagnetic vector matching algorithm based on ICCP. China Measurement & Test, 44(2):103-107 (in Chinese).

[23]Xiao J, Duan XS, Qi XH, 2018a. Iterated closest contour point algorithm for geomagnetic matching based on probability data association. Journal of Chinese Inertial Technology, 26(2):202-208 (in Chinese).

[24]Xiao J, Qi XH, Duan XS, 2018b. Research of status of magnetic matching algorithms and its improvement strategies. Electronics Optics & Control, 25(1):55-59 (in Chinese).

[25]Zhang CX, Chen XF, Lu JZ, et al., 2018. Deep data fusion method for missile-borne inertial/celestial system. AIP Conference Proceedings, 1967(1):020014.

[26]Zhang XM, 2016. Theory and Application of Geomagnetic Navigation. National Defense Industry Press, Beijing, China, p.142-149 (in Chinese).

[27]Zhou J, Wang Q, Cheng C, 2019. Geomagnetic gradient bionic navigation based on the parallel approaching method. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 233(9):3131-3140.

[28]Zong H, Liu Y, Yang Y, 2018. Overview of the research status about geomagnetic navigation technology. Aerospace Control, 36(3):93-98 (in Chinese).

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