Application of adaptive inverse filtering approach in weigh-in-motion of vehicles

In this paper an adaptive inverse filter is employed which suppress noise within the bandwidth of the desired signal with the particular aim to improve the accuracy of WIM systems. Within the framework of the FIR filter, the inverse system of WIM system is constructed by using LMS adaptive algorithm as an innovative filter. Moreover, an additional filter, a noise filter, is adopted as well, in order to best improvement the measurement accuracy. The final results processed by cascaded filter combination show a significant improvement in estimation of static weight of moving vehicles.