Analysis and Optimization of Signal Reconstruction Modeling Based on Mixed Analog-digital Subband Division

WANG Ze; HE Fangmin; LU Qiaran; ZHANG Yunshuo; MENG Jin; LI Yaxing

doi:10.11999/JEIT230593

Volume 45 Issue 11

Nov. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(11): 3991-4002

WANG Ze, HE Fangmin, LU Qiaran, ZHANG Yunshuo, MENG Jin, LI Yaxing. Analysis and Optimization of Signal Reconstruction Modeling Based on Mixed Analog-digital Subband Division[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3991-4002. doi: 10.11999/JEIT230593

Citation:

WANG Ze, HE Fangmin, LU Qiaran, ZHANG Yunshuo, MENG Jin, LI Yaxing. Analysis and Optimization of Signal Reconstruction Modeling Based on Mixed Analog-digital Subband Division[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3991-4002. doi: 10.11999/JEIT230593

Citation:

WANG Ze, HE Fangmin, LU Qiaran, ZHANG Yunshuo, MENG Jin, LI Yaxing. Analysis and Optimization of Signal Reconstruction Modeling Based on Mixed Analog-digital Subband Division[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3991-4002. doi: 10.11999/JEIT230593

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Analysis and Optimization of Signal Reconstruction Modeling Based on Mixed Analog-digital Subband Division

doi: 10.11999/JEIT230593

National Key Laboratory of Science and Technology on Electromagnetic Energy, Wuhan 430032, China

Funds: The National Key R&D Program of China (2021YFF1500100), The National Natural Science Foundation of China (52177012), The National Science Fund for Distinguished Young Scholars (52025072), The National Defence Science and Technology Key Laboratory Found (614221722051301)

Received Date: 2023-06-14
Rev Recd Date: 2023-09-22

Available Online: 2023-09-28

Publish Date: 2023-11-28

Abstract

Abstract

In order to cope with broadband blocking interference, the integrated communication and interference cancellation system usually applies the interference cancellation technology based on subband division to improve the broadband interference suppression capability. To guarantee the communication performance meanwhile, it is required to reconstruct the subband signal to communication signal. In this paper, the combination of analog circuits and digital processing is used to build a subband division and signal reconstruction framework. The wide filtering in the first-stage is realized through analog filters to reduce the signal processing bandwidth. The narrow filtering in the second-stage is completed by digital filters to improve further the signal-to-noise ratio. This paper focusses on the problem of cross-subband reconstruction distortion in the communication signals’ subband division process. The time-frequency domain model of the subband division and signal reconstruction system is established to analyze the influence of the amplitude and phase inconsistency between subbands. To solve the inconsistency problem, the phase calibration method and the filter amplitude-frequency optimization method are proposed. The methods are to ensure the approximately distortion-free reconstruction of the cross-subband signal. Simulation and experiment results show that the amplitude-frequency response of the filter designed in the paper has good reconstruction accuracy. The phase calibration method solves the phase distortion problem of cross-subband signal reconstruction, and reduces effectively the bit error rate of reconstructed communication signals.

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References(33)

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