Title :
Multipath cluster impulse response prediction for time-varying wireless channels
Author :
Changwei Lv ; Wenbo Mei
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
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 :
computational complexity; multipath channels; resource allocation; smoothing methods; time-varying channels; wireless channels; channel envelope predictor; cluster-based channel predictor; computational complexity; estimation noise; multipath cluster impulse response prediction; phase predictor; phase slope; smoothing parameter selection; time-varying wireless channels; Accuracy; Channel estimation; Channel models; Estimation; Signal to noise ratio; Smoothing methods; Cluster-based channel prediction; phase prediction; physical channel model; smoothing filter; wide-band communication;
Conference_Titel :
Communications and Networking in China (CHINACOM), 2014 9th International Conference on
DOI :
10.1109/CHINACOM.2014.7054345
