Improved Artificial Bee Colony Algorithm Based Gravity Matching Navigation Method

Sensors

Wei Gao²  Bo Zhao²  Guang Tao Zhou¹  Qiu Ying Wang² 

[1] College of Automation, Harbin Engineering University, Harbin 150001, China;

关键词: gravity matching navigation;    ABC;    gravity anomaly;    local single point search;    overall restriction;   

DOI  :  10.3390/s140712968

来源: mdpi

【 摘 要 】

Gravity matching navigation algorithm is one of the key technologies for gravity aided inertial navigation systems. With the development of intelligent algorithms, the powerful search ability of the Artificial Bee Colony (ABC) algorithm makes it possible to be applied to the gravity matching navigation field. However, existing search mechanisms of basic ABC algorithms cannot meet the need for high accuracy in gravity aided navigation. Firstly, proper modifications are proposed to improve the performance of the basic ABC algorithm. Secondly, a new search mechanism is presented in this paper which is based on an improved ABC algorithm using external speed information. At last, modified Hausdorff distance is introduced to screen the possible matching results. Both simulations and ocean experiments verify the feasibility of the method, and results show that the matching rate of the method is high enough to obtain a precise matching position.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.