Support Vector Machines for DS-UWB Channel Equalisation

We propose a novel equalization scheme for the direct sequence (DS) based ultra wideband (UWB) indoor system, utilizing support vector machine (SVMs). SVMs are effective learning technique which gains more consideration in pattern classification. In this work, a bank of SV classifiers are trained by received signal chips in order to extract the subsequent corresponding symbols. Simulation results confirm the superb efficiency of the proposed technique for many scenarios of transmission, especially the performance in Light-of-Sight cases where only few pilot blocks are used for training.