列车双雷达测速算法优化

Optimization of Train Dual-radar Speed-measurement Algorithm

摘要:

介绍了列车单雷达直接法及双雷达联合法测速原理。在分析雷达角度误差和多普勒频率误差对测速精度影响的基础上,提出一种基于径向基函数网络的双雷达测速方法。仿真分析结果证明,该方法在保留角度修正能力的同时,能有效提高测速精度。

Abstract:

The principles of train single-radar speed-measurement and train dual-radarspeed-measurement were introduced. According to the analyzing of angle error influence andDoppler frequency error influence on radar measurement accuracy, a dual-radar speedmeasurementmethod based on radial basis function neural network (RBFNN) wasproposed. The simulation results show that the proposed method can retain the anglecorrection ability and obtain higher velocity measurement accuracy simultaneously.