Localization of Low-Frequency Magnetic Beacons Based on Genetic Algorithm

An autonomous positioning method utilizing the separated magnetic beacons model based on Genetic Algorithm (GA) is proposed in this paper. The low frequency alternating magnetic signal has high penetration ability. Taking advantage of this characteristics, stable positioning service in a severe environment is possible, in which the Global Positioning System (GPS) is not reliable due to multipath effects and non-line-of-sight conditions. The analytical method needs quadrant distinction and is difficult to position points close to the coordinate axis. While using the new method proposed in this paper, the defects are effectively ameliorated. Validated by both theoretical deduction and numerous simulations, the positioning method based on GA has been tested showing accurate localization results for a wide-range measurement.