Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Campus Nord UPC, 08034 Barcelona, Spain.
Sensors (Basel). 2012 Nov 23;12(12):16228-49. doi: 10.3390/s121216228.
The paper presents a two-step technique for real-time track detection in single-track railway sidings using low-cost MEMS gyroscopes. The objective is to reliably know the path the train has taken in a switch, diverted or main road, immediately after the train head leaves the switch. The signal delivered by the gyroscope is first processed by an adaptive low-pass filter that rejects noise and converts the temporal turn rate data in degree/second units into spatial turn rate data in degree/meter. The conversion is based on the travelled distance taken from odometer data. The filter is implemented to achieve a speed-dependent cut-off frequency to maximize the signal-to-noise ratio. Although direct comparison of the filtered turn rate signal with a predetermined threshold is possible, the paper shows that better detection performance can be achieved by processing the turn rate signal with a filter matched to the rail switch curvature parameters. Implementation aspects of the track detector have been optimized for real-time operation. The detector has been tested with both simulated data and real data acquired in railway campaigns.
本文提出了一种使用低成本微机电系统（MEMS）陀螺仪实时检测单轨道岔中轨道的两步技术。目的是在火车头离开道岔后立即可靠地知道火车在道岔、分路或主路上行驶的路径。陀螺仪发出的信号首先经过一个自适应低通滤波器进行处理，该滤波器可以滤除噪声，并将时间转弯率数据从度/秒转换为度/米的空间转弯率数据。这种转换是基于里程表数据中记录的行驶距离进行的。滤波器的实现采用了速度相关的截止频率，以最大化信噪比。虽然可以直接将滤波后的转弯率信号与预定阈值进行比较，但本文表明，通过对转弯率信号进行与轨道开关曲率参数匹配的滤波器处理，可以获得更好的检测性能。轨道探测器的实现方面已经针对实时操作进行了优化。该探测器已经使用铁路测试中获取的模拟数据和真实数据进行了测试。
