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Calibration for Realization Errors of Two-Channel Hybrid Filter Bank Analog-to-Digital Converters Based on Frequency-Dependent Model

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Abstract

Hybrid filter bank (HFB) analog-to-digital converters (ADCs) are used to achieve higher sampling rates for medium-to-high resolution applications in many communication systems. However, the analog filter realization errors and channel mismatches severely degrade the reconstruction performance of HFB ADCs. A general error analysis, which takes analog imperfections and channel mismatches into consideration based on a single-channel filtering (SCF) HFB architecture is presented in this paper. A frequency-dependent model (FDM) for sub-ADCs output is then derived to integrate all the realization errors to an equivalent channel-transfer function (ECTF). Based on the ECTF, the perfect reconstruction condition is derived as the optimization object for the synthesis filter banks. Finally, a two-channel SCF HFB ADC prototype with 12-bit resolution and 200 MHz sampling rate is implemented. After mismatch correction with 64-tap finite impulse response (FIR) filters, 75.75 dB of spurious-free dynamic range (SFDR) is achieved over the whole bandwidth. The experimental results show that the average SFDR is enhanced by about 10–25 dB compared with the traditional calibration method.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grant 61106028. The authors would like to thank Dr. Y. Yang and Dr. Z.G. Ying for their valuable discussions.

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Correspondence to Su Juan Liu.

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Liu, S.J., Wang, J.S. & Qi, P.P. Calibration for Realization Errors of Two-Channel Hybrid Filter Bank Analog-to-Digital Converters Based on Frequency-Dependent Model. Circuits Syst Signal Process 33, 761–779 (2014). https://doi.org/10.1007/s00034-013-9657-5

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  • DOI: https://doi.org/10.1007/s00034-013-9657-5

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