Design of A Modulated Wideband Converter for Low-Speed Sampling of Sparse Analog Signals

2022 IEEE 16th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)(2022)

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摘要
The modulated wideband converter (MWC) is a sampling system that realizes the sub-Nyquist sampling rate by using the compressed sensing (CS) theory. This paper presents an analog front-end circuit for a modulated wideband converter, which consists of four channels. Each channel is composed of a mixer and a low-pass filter. The mixer adopts a passive structure, which can achieve a higher degree of linearity compared with the traditional Gilbert structure. The filter adopts a GM-C structure, which can consume lower and easily achieve higher operating frequency compared with the traditional RC structure. In this paper, the smic180nm CMOS process is used for simulation verification. The front-end circuit can process input signals from DC to 1GHz, and the reconstruction of dual-band signals with a maximum frequency of 200MHz is verified. The normalized mean square error (NMSE) is less than -20dB.
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关键词
analog front-end circuit,compressed sensing theory,dual-band signal reconstruction,frequency 1.0 GHz,frequency 200.0 MHz,Gilbert structure,GM-C structure,low-pass filter,low-speed sampling,modulated wideband converter,MWC,NMSE,normalized mean square error,passive structure,RC structure,sampling system,simulation verification,smic180nm CMOS process,sparse analog signals,sub-Nyquist sampling rate
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