LSSVM增强的受限环境列车定位精度优化方法

GNSS/INS是目前较为理想的定位组合方式,但在GNSS信号较长时间缺失的情况下INS的定位误差会逐渐发散。为解决此问题提出一种针对卫星信号受限环境的LSSVM增强列车组合定位方法,并在青藏铁路线应用试验。试验结果表明:LSSVM增强列车组合定位方法能够有效提高组合导航系统在GNSS信号缺失情况下的定位精度,且相比于单独的INS,定位精度提高近80%,位置误差达到2 m之内,可以满足较高精度的列车定位需求,具有良好的工程应用价值。

Optimization Method for Integrated Positioning Accuracy of Trains in Restricted Environment Based on LSSVM

GNSS/INS is an ideal integrated positioning method today,but the positioning error of INS will gradually diverge in the case of long-time absence of the GNSS signals.In order to solve the problem above,this paper proposed an LSSVM enhanced train integrated positioning method to deal with satellite signal restricted environment.The above method was applied to the Qinghai—Tibet railway line.The test results show that this method can effectively improve the positioning accuracy of the integrated positioning system in the absence of GNSS signals.Compared with the navigation error of the INS alone,the accuracy of the DRMS result is improved by nearly 80%,with the position error controlled within 2 m,which satisfies the higher precision train positioning requirements and has greater engineering application value.