Intervehicle Range Estimation From Periodic Broadcasts
| Autor: | Jubin Jose, Xinzhou Wu, Venkatesan Nallampatti Ekambaram, Urs Niesen |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer Networks and Communications
Computer science business.industry Real-time computing Aerospace Engineering 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology Broadcasting 0203 mechanical engineering Automotive Engineering 0202 electrical engineering electronic engineering information engineering Overhead (computing) Timestamp Electrical and Electronic Engineering Unicast business Data compression |
| Zdroj: | IEEE Transactions on Vehicular Technology. 66:10637-10646 |
| ISSN: | 1939-9359 0018-9545 |
| DOI: | 10.1109/tvt.2017.2762242 |
| Popis: | Dedicated short-range communications enables vehicular communication using periodic broadcast messages. We propose to use these periodic broadcasts to perform intervehicle ranging. Motivated by this scenario, we study the general problem of range estimation between pairs of moving vehicles using periodic broadcasts. Each vehicle has its own independent and unsynchronized clock, which can exhibit significant drift between consecutive periodic broadcast transmissions. Consequently, both the clock offsets and drifts need to be taken into account in addition to the vehicle motion to accurately estimate the vehicle ranges. We develop a range estimation algorithm using local polynomial smoothing of the vehicle motion. The proposed algorithm can be applied to networks with arbitrary number of vehicles and requires no additional message exchanges apart from the periodic broadcasts. We experimentally validate our algorithm and show that its performance is close to that of unicast round-trip time ranging. In particular, we are able to achieve submeter ranging accuracies in vehicular scenarios. Our scheme requires additional timestamp information to be transmitted as part of the broadcast messages, and we develop a novel timestamp compression algorithm to minimize the resulting overhead. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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