汽车转弯自动照明控制系统数据采集滤波方法

The data acquisition filtering method of the automatic steering lighting system for automobiles

为了减少汽车转弯自动照明控制系统数据滤波处理中的延时,在滑动中值滤波方法基础上,提出了一种带补偿的限幅滑动中值滤波算法,通过补偿的方式跟随信号的变化趋势。该算法通过2个步骤完成滤波,先对数据进行带补偿方式的限幅处理,再进行滑动中值滤波处理。该算法综合了滑动中值滤波法的实时性以及限幅滤波法对偶然性干扰滤除的有效性,实现更准确的滤波。仿真与实测结果表明,与滑动中值滤波方法相比较,改进后的算法滤波能够实时地滤除数据中的干扰,处理时间可减少62%,滤波效果较好,且速度信号的数据滞后时间较短,实时性较高,满足系统设计要求。

In order to reduce the time of data filtering processing in the adaptive control system for automotive headlights, a method of amplitude-limiting median filter is proposed in this paper, which is based on sliding median filtering algorithm and can follow the variation trend of signals through a way of compen- sation. The algorithm needs two steps to complete filtering. The data is amplitude-limited with compensation first, and then processed through sliding median filtering. This algorithm combines real-time of sliding median filtering method with the validity to filter the random interference of amplitude-limited filtering method, and it could smooth the graph more accurately. The simulation and actual test results show that the improved filtering method can filter interference in the data in real time and the processing time can be reduced by 62% compared with that of the sliding median filtering method. In addition, it can get a better result and the lag time of speed signal is shorter. Moreover, it has a high real-time performance and satisfies the requirement of system design.