Research Article
Channel Impulse Response Analysis of the Indoor Propagation Based on Auto-Regressive Modeling
@INPROCEEDINGS{10.1007/978-3-030-05888-3_26, author={Jinpeng Liang and Wenjun Lu and Yang Liu and Qiong Wu and Baolong Li and Zhengquan Li}, title={Channel Impulse Response Analysis of the Indoor Propagation Based on Auto-Regressive Modeling}, proceedings={Ad Hoc Networks. 10th EAI International Conference, ADHOCNETS 2018, Cairns, Australia, September 20-23, 2018, Proceedings}, proceedings_a={ADHOCNETS}, year={2018}, month={12}, keywords={Channel impulse response Stairs and corridor Auto-regressive process Radio propagation}, doi={10.1007/978-3-030-05888-3_26} }- Jinpeng Liang
Wenjun Lu
Yang Liu
Qiong Wu
Baolong Li
Zhengquan Li
Year: 2018
Channel Impulse Response Analysis of the Indoor Propagation Based on Auto-Regressive Modeling
ADHOCNETS
Springer
DOI: 10.1007/978-3-030-05888-3_26
Abstract
A novel statistical channel impulse response model at 2.6 GHz is proposed for the indoor stairs and corridor environment. The model is based on the frequency domain auto-regressive (AR) process. The samples of the complex frequency response can be described as the output of the AR transfer function driven by a Gaussian white-noise process. In this model, the number of poles of the AR transfer function is determined by the significant paths of radio propagation. The paths depend on the reflectors of different propagation environment. The accuracy of the AR modeling has been verified by utilizing the root-mean-square error and root-mean-square delay spread as metrics. The model is also compared with the conventional tapped delay line model. The proposed model can be useful for the development and design of future communication.
