Multipath Cluster Impulse Response Prediction for Time-Varying Wireless Channels

Changwei Lv; Wenbo Mei

9th International Conference on Communications and Networking in China

Research Article

Multipath Cluster Impulse Response Prediction for Time-Varying Wireless Channels

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.chinacom.2014.256352,
    author={Changwei Lv and Wenbo Mei},
    title={Multipath Cluster Impulse Response Prediction for Time-Varying Wireless Channels},
    proceedings={9th International Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2015},
    month={1},
    keywords={cluster-based channel prediction phase prediction physical channel model smoothing filter wide-band communication},
    doi={10.4108/icst.chinacom.2014.256352}
}

Changwei Lv
Wenbo Mei
Year: 2015
Multipath Cluster Impulse Response Prediction for Time-Varying Wireless Channels
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256352

Changwei Lv¹^,*, Wenbo Mei²

1: 1. School of Information and Electronics, Beijing Institute of Technology; 2. Chongqing Communication Institute, Information Technology Department.
2: School of Information and Electronics, Beijing Institute of Technology.

*Contact email: chweilv@gmail.com

Abstract

This paper presents a modified version of the existing cluster-based channel predictor (CBCP) which operates in the time domain on each individual multipath component and consists of a channel envelope predictor (EP) and a phase predictor (PP). Based on our investigation, the prediction accuracy of PP is lower than that of EP in the presence of estimation noise, which limits the performance of CBCP. The modified CBCP (M-CBCP) applies a smoothing on the increment of the estimated phases to improve the detection of the phase slope. The effect of the smoothing parameter selection in modified PP (M-PP) is studied. The increase in computational complexity due to the modification is almost negligible. Moreover, a physics-based scattering model is used to evaluate the performance of the proposed method.

Keywords: cluster-based channel prediction phase prediction physical channel model smoothing filter wide-band communication

Published: 2015-01-21
Publisher: IEEE
Appears in: IEEEXplore

: http://dx.doi.org/10.4108/icst.chinacom.2014.256352