Tracking the channel impulse response in systems based on the IEEE 802.11p standard, the most widely accepted standard for the\nphysical layer in vehicular area networks (VANETs), is still an open research topic. In this paper we aim to improve previously\nproposed channel estimators by utilizing data aided algorithm that includes the channel decoding to enhance the quality of\nthe estimated data. Moreover we propose a novel technique that exploits information provided by external sensors like GPS or\nspeedometer, usually present in vehicles. The algorithm proposed so far has been analyzed in non-line-of-sight link conditions; in\nthis paper we present an analysis of performances in the line-of-sight condition as well. Simulations show that both proposals give\nconsiderable improvements in terms of packet error rate and channel estimation error in the highway scenario which is surely the\nmost stressing environment for the channel response tracker.
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