Robust Longitudinal Power Profile Estimation Using Enhanced Correlation Template Method

We introduce effective correlation lengths to compensate for convolution effects arising from nonlinear distortion correlations across different locations. This approach enhances absolute power profile estimation, reducing RMSE by >1.5 dB compared to the LS method.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10810022
Citations
2
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
0.52
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article

Robust Longitudinal Power Profile Estimation Using Enhanced Correlation Template Method

Zhiping Jiang, Junho Chang, Choloong Hahn, Qing-Yi Guo
2 citations
Engineering Applied Research
0.52
article

Robust Longitudinal Power Profile Estimation Using Enhanced Correlation Template Method

Zhiping Jiang, Junho Chang, Choloong Hahn, Qing-Yi Guo
article en
2 citations

Abstract

We introduce effective correlation lengths to compensate for convolution effects arising from nonlinear distortion correlations across different locations. This approach enhances absolute power profile estimation, reducing RMSE by >1.5 dB compared to the LS method.

Huawei Technologies (Canada) (CA)
Affordable and clean energy
Openalex Percentile: Top 34%
Engineering Applied Research
0.52
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Robust Longitudinal Power Profile Estimation Using Enhanced Correlation Template Method — Zhiping Jiang, Junho Chang, et al. · (2024) | TGRS Research Map | TGRS