A Wideband Digital Compensation Model Based on Fast Bandwidth Sensing for Zero-IF Receiver

Zero-IF transceiver systems use digital compensation techniques to mitigate communication distortions and improve performance. However, receiver compensation models generally struggle to simultaneously handle both wideband and narrowband signals. This paper introduces a digital compensator model based on a sensing module to solve the aforementioned issues. The model quickly estimates the signal bandwidth at the receiver, allowing for the selection of precise compensation parameters. Simulation and experimental results conducted on a transceiver architecture with a sampling rate of 1.25 GSPS demonstrate that the proposed sensing model can rapidly estimate the approximate bandwidth of test signals, the normalized mean square error (NMSE) is optimized by approximately 3 dB on average across the 1 GHz frequency range.

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Publication Details

Published
2025-06-15
DOI
https://doi.org/10.1109/ims40360.2025.11104011
Primary Topic
Advanced Power Amplifier Design
Type
article
Field-Weighted Citation Impact
0.00

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article

A Wideband Digital Compensation Model Based on Fast Bandwidth Sensing for Zero-IF Receiver

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article

A Wideband Digital Compensation Model Based on Fast Bandwidth Sensing for Zero-IF Receiver

Jun Peng, Chenrui Liang, Min Xiong, Tianyang Zhong, Xinyu Wang, Feng Yu, Lei Liu, Jiaxuan Zhu, Yuchen Bian, X. S. Qin
article en

Abstract

Zero-IF transceiver systems use digital compensation techniques to mitigate communication distortions and improve performance. However, receiver compensation models generally struggle to simultaneously handle both wideband and narrowband signals. This paper introduces a digital compensator model based on a sensing module to solve the aforementioned issues. The model quickly estimates the signal bandwidth at the receiver, allowing for the selection of precise compensation parameters. Simulation and experimental results conducted on a transceiver architecture with a sampling rate of 1.25 GSPS demonstrate that the proposed sensing model can rapidly estimate the approximate bandwidth of test signals, the normalized mean square error (NMSE) is optimized by approximately 3 dB on average across the 1 GHz frequency range.

University of Electronic Science and Technology of China (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 81%
Advanced Power Amplifier Design
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