Analog Pre-Processing for Low-Rate Multi-Band Signal Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current direct analog-to-information conversion methods require high sampling rates and suffer from jitter and aperture limitations at Nyquist frequencies, which hinder efficient conversion and increase hardware size, weight, power, and cost.
Innovation Solution
The proposed analog-to-information converter employs a minimum rate sampling and reconstruction algorithm using periodic non-uniform sampling, which samples and down-converts fewer than the total number of analog sampling filters, reducing the number of samples required for reconstruction and enabling lower jitter and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct analog-to-information conversion is performed at Nyquist frequency using mixer-type circuits, then signal encoding is achieved, but jitter and aperture limitations reduce conversion resolution
Solution Approach 1:
The patent applies preliminary action by performing analog pre-processing and down-conversion of the RF input signal to an intermediate frequency before digitization. This preliminary frequency translation moves the signal away from Nyquist frequency, eliminating jitter and aperture limitations while preserving measurement precision through the subsequent digital reconstruction process
Solution Approach 2:
The patent introduces an intermediate frequency as a mediator between the RF input signal and the final digital representation. By converting the RF signal to an intermediate frequency in the analog domain before ADC conversion, the system avoids direct Nyquist-frequency mixing, thereby maintaining conversion resolution while improving performance stability
2Measurement precision
If high sampling rates are used for analog-to-digital conversion, then signal reconstruction quality is maintained, but hardware size, weight, power and cost increase
Solution Approach 1:
The patent changes the frequency parameter of the input signal by down-converting RF signals to intermediate frequencies before digitization. This parameter transformation allows the use of lower sampling rates in the ADC, reducing power consumption while maintaining signal reconstruction quality through the frequency translation process
Solution Approach 2:
The patent performs preliminary analog pre-processing and frequency down-conversion before digitization, which reduces the sampling rate requirement for the ADC. This preliminary action maintains signal reconstruction quality by preserving spectral information in the analog domain while reducing the power consumption of the digital conversion process
3Measurement precision
If high sampling rates are used for analog-to-digital conversion, then signal reconstruction quality is maintained, but hardware size, weight, power and cost increase
Solution Approach 1:
The patent changes the frequency parameter of the input signal through analog down-conversion to intermediate frequencies, which reduces the sampling rate requirement for the ADC. This parameter transformation simplifies the hardware architecture by reducing the complexity and size of high-speed ADC circuits while maintaining signal reconstruction quality
4Use of energy by moving object
If the number of samples is reduced below Nyquist rate, then power consumption is reduced, but aliasing occurs without proper preprocessing
Solution Approach 1:
The patent performs preliminary analog pre-processing including frequency down-conversion and filtering before subsampling. This preliminary action prepares the signal for non-Nyquist rate sampling by concentrating spectral energy and eliminating aliasing components, enabling reduced power consumption through lower sampling rates while preserving signal integrity
Solution Approach 2:
The patent replaces traditional mechanical/electrical filtering approaches with digital signal processing for reconstruction. After analog pre-processing and reduced-rate ADC conversion, digital algorithms reconstruct the original signal from subsampled data, maintaining signal integrity while enabling lower power consumption through reduced sampling rates
Data Source
AI summary
Analog-to-information converter and method for performing analog-to-information conversion samples and down-converts N samples of an input multi-band signal using M analog sampling filters or samplers, where N is less than M. The N samples of the input multi-band signal are digitized to produce N digital samples of the input multi-band signal, which are multiplexed into M digital samples of the input multi-band signal. The M digital samples are up-converted and filtered at M digital reconstruction filters to produce a digital multi-band signal, which is processed at a processing unit to obtain information contained in the digital multi-band signal.