WAVE-based Short-range Vehicular Localization through Vector Match

Precise and real-time position information are critical for an enforcement, autopilot or navigation system at a toll station. However, Global Position System (GPS) has insufficient accuracy and low sampling rate. In this paper, a short-range vehicle localization algorithm is proposed to supplement the distance gap of GPS. A normalized RSSI sequence takes the place of Received Signal Strength Indication (RSSI) at position evaluation, which problems of low signal noise ratio (SNR) are alleviated. A position similarity degree algorithm is proposed to mitigate the low variability of fingerprint, a seamless localization is achieved. A filter is designed to cut off the dataset of remote calibration points, the multipath effect is mitigated. Finally, the experiments verified the suitability of accuracy and execute time for enforcement and autopilot, and the insignificant effect of speed, traffic and grid size.