Publication detail

Autoregressive Model of Channel Transfer Function for UWB Link inside a Passenger Car

CHANDRA, A. KUKOLEV, P. MIKULÁŠEK, T. PROKEŠ, A.

Original Title

Autoregressive Model of Channel Transfer Function for UWB Link inside a Passenger Car

Type

conference paper

Language

English

Original Abstract

This article reports results of channel frequency transfer function measurements inside the passenger compartment of a four seated sedan car. The examined frequency range spans from 3 GHz to 11 GHz and covers the ultra wide band, a promising candidate for future automotive wireless standards. It is found that the complex transfer function may be decomposed into two terms, the first one being a real valued long term trend that characterizes frequency dependency with a power law, and the second term forms a complex correlative discrete series which may be represented via an autoregressive model. The proposed model is validated by comparing the simulated transfer function with the measured data. Simulated values for the coherence bandwidth, power delay profile, and the root mean square delay spread are also in good agreement with the experimental values.

Keywords

AR model, UWB, transfer function, frequency dependency, intra-vehicle.

Authors

CHANDRA, A.; KUKOLEV, P.; MIKULÁŠEK, T.; PROKEŠ, A.

RIV year

2015

Released

18. 7. 2015

ISBN

978-1-61804-318-4

Book

Proceedings of the 19th International Conference on Communications (part of CSCC '15)

ISBN

1790-5117

Periodical

WSEAS Applied Informatics & Communications

Year of study

19

State

Hellenic Republic

Pages from

238

Pages to

241

Pages count

4

BibTex

@inproceedings{BUT115794,
  author="Aniruddha {Chandra} and Pavel {Kukolev} and Tomáš {Mikulášek} and Aleš {Prokeš}",
  title="Autoregressive Model of Channel Transfer Function for UWB Link inside a Passenger Car",
  booktitle="Proceedings of the 19th International Conference on Communications (part of CSCC '15)",
  year="2015",
  journal="WSEAS Applied Informatics & Communications",
  volume="19",
  pages="238--241",
  isbn="978-1-61804-318-4",
  issn="1790-5117"
}