Pre-modulation integral multichannel parallel analog information conversion circuit

Abstract

The invention discloses a pre-modulation integral multichannel parallel analog information conversion circuit comprising a multichannel parallel analog information conversion circuit composed of a plurality of pseudo-random sequence generators, level switching circuits, a multiplier, low-pass filters, analog-to-digital converters, a clock generation circuit and a multiplexer. The pre-modulation integral multichannel parallel analog information conversion circuit is characterized in that a first-level pre-modulation integral circuit is arranged before the multichannel parallel analog information conversion circuit and is used for pre-reducing the frequency of an analog input signal and outputting a low-frequency signal retaining all the information of an original signal. According to the invention, as the first-level pre-modulation integral circuit is arranged before the multichannel parallel analog information conversion circuit, the frequency of the pseudo-random sequences, the low-pass filters and the analog-to-digital converters is greatly improved under the condition of ensuring that the signal retains the information of the original signal, the circuit design complexity and the power consumption are reduced and the feasibility of analog circuit realization is improved compared with a traditional multichannel parallel compressed sampling method.

Description

technical field [0001] The invention belongs to the field of signal processing, and relates to a pre-modulation integral type multi-channel parallel analog information conversion circuit, which can effectively reduce the frequency of multi-channel internal pseudo-random signal generators, low-pass filters and analog-to-digital converters. Background technique [0002] The traditional signal acquisition process must follow the Nyquist sampling theorem, that is, the frequency of the sampling signal must be greater than twice the frequency of the original signal in order to restore the discrete signal after acquisition to the original signal without distortion. With the development of electronic information technology and the rapid growth of people's demand for data, some insurmountable problems have gradually appeared in the analog-to-digital converter (ADC) guided by the Nyquist sampling theorem. When the bandwidth of the input signal is too large, The sampling rate of the AD...

AI Technical Summary

Problems solved by technology

However, when multiple channels work in parallel, for analog circuits, the hardware implementation is complex and consumes a lot of power. Among them, the sources of power consumption are mainly modulation circuits, low-pass filters and ADCs.

[0004] The patent application for 20130092206.7 proposes a sparse signal undersampling method based on compressed sensing, and provides a single-channel analog information conversion technology and hardware implementation, but when the input signal is an ultra-bandwidth signal, the back-end sampling circuit ADC A higher sampling frequency is required, and the increase in rate is at the expense of accuracy, so it is difficult to meet people's needs for high speed and high precision

The patent application No. 20120209404.2 proposes an analog information conversion method based on group sampling, but only gives the analog information conversion algorithm of group sampling and the calculation is complex, and the hardware is not easy to implement

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