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Spectrum analysis module based on adaptive tiadc

A spectrum analysis and self-adaptive technology, which is applied in the field of spectrum analysis module, can solve the problems of large spectrum error and low working stability of the spectrum analysis module to calculate the signal

Active Publication Date: 2017-10-24
NINGBO UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the spectrum analysis module based on TIADC has the following problems: Although the two-channel ADC alternate sampling can increase the sampling rate of the signal, due to the difference in the chip process level, the time mismatch error between the two ADCs has a significant impact on data acquisition. As a result, the spectrum analysis module calculates a large error in the signal spectrum, and the work stability is not high

Method used

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  • Spectrum analysis module based on adaptive tiadc
  • Spectrum analysis module based on adaptive tiadc
  • Spectrum analysis module based on adaptive tiadc

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Embodiment one: if figure 1 with figure 2As shown, a spectrum analysis module based on adaptive TIADC includes a first analog-to-digital converter 1, a second analog-to-digital converter 2, a third analog-to-digital converter 3, a fourth analog-to-digital converter 4, a first fraction Delay filter 5, second fractional delay filter 6, third fractional delay filter 7, first SRAM memory 8, second SRAM memory 9, four-to-one selector 10, first asynchronous FIFO module 11, second asynchronous FIFO module 12, third asynchronous FIFO module 13, fourth asynchronous FIFO module 14, fifth asynchronous FIFO module 15, first delay estimator 16, second delay estimator 17, third delay estimator 18, FFT Module 19, logic control module 20 and digital down-converter 21; FFT module 19 includes the first FFT module 191, the second FFT module 192, the third FFT module 193 and the fourth FFT module 194; Four choose one selector 10 It has a first input terminal, a second input terminal, a ...

Embodiment 2

[0031] Embodiment two: if figure 1 with figure 2As shown, a spectrum analysis module based on adaptive TIADC includes a first analog-to-digital converter 1, a second analog-to-digital converter 2, a third analog-to-digital converter 3, a fourth analog-to-digital converter 4, a first fraction Delay filter 5, second fractional delay filter 6, third fractional delay filter 7, first SRAM memory 8, second SRAM memory 9, four-to-one selector 10, first asynchronous FIFO module 11, second asynchronous FIFO module 12, third asynchronous FIFO module 13, fourth asynchronous FIFO module 14, fifth asynchronous FIFO module 15, first delay estimator 16, second delay estimator 17, third delay estimator 18, FFT Module 19, logic control module 20 and digital down-converter 21; FFT module 19 includes the first FFT module 191, the second FFT module 192, the third FFT module 193 and the fourth FFT module 194; Four choose one selector 10 It has a first input terminal, a second input terminal, a ...

Embodiment 3

[0035] Embodiment three: as figure 1 with figure 2 As shown, a spectrum analysis module based on adaptive TIADC includes a first analog-to-digital converter 1, a second analog-to-digital converter 2, a third analog-to-digital converter 3, a fourth analog-to-digital converter 4, a first fraction Delay filter 5, second fractional delay filter 6, third fractional delay filter 7, first SRAM memory 8, second SRAM memory 9, four-to-one selector 10, first asynchronous FIFO module 11, second asynchronous FIFO module 12, third asynchronous FIFO module 13, fourth asynchronous FIFO module 14, fifth asynchronous FIFO module 15, first delay estimator 16, second delay estimator 17, third delay estimator 18, FFT Module 19, logic control module 20 and digital down-converter 21; FFT module 19 includes the first FFT module 191, the second FFT module 192, the third FFT module 193 and the fourth FFT module 194; Four choose one selector 10 It has a first input terminal, a second input terminal,...

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Abstract

The invention discloses a frequency spectrum analysis module based on adaptive TIADC, comprising a first analog-to-digital converter, a second analog-to-digital converter, a third analog-to-digital converter, a fourth analog-to-digital converter, and a first fractional delay filter , the second fractional delay filter, the third fractional delay filter, the first SRAM memory, the second SRAM memory, one of four selectors, the first asynchronous FIFO module, the second asynchronous FIFO module, the third asynchronous FIFO module, the first Four asynchronous FIFO modules, a fifth asynchronous FIFO module, a first delay estimator, a second delay estimator, a third delay estimator, an FFT module, a logic control module and a digital down converter; the FFT module includes the first One FFT module, the second FFT module, the third FFT module and the fourth FFT module; the advantage is that the time delay error is adaptively compensated, thus effectively ensuring the accuracy of the sampling data, reducing the error of spectrum analysis, and improving Work stability; and the multiplexing of the FFT module in two working stages improves the utilization rate of the FFT module.

Description

technical field [0001] The invention relates to a spectrum analysis module, in particular to a spectrum analysis module based on adaptive TIADC. Background technique [0002] With the rapid development of electronic information technology, digital systems are more and more widely used. Spectrum analyzer is one of the most basic and important instruments in the field of measurement, and it is also an important tool for frequency domain analysis of electronic information. Spectrum analyzers currently on the market are roughly divided into two categories: sweep tuning and Fourier spectrum analysis. The traditional sweep-tuned spectrum analyzer passes through the tunable receiver of the front-end circuit, and undergoes a series of processing such as mixing, amplification, filtering and detection. The modern spectrum analyzer of Fourier transform decomposes the measured signal into discrete frequency components through Fourier operation to obtain the signal analysis spectrum. M...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R23/16
Inventor 蒋志迪叶忠辉汪鹏君王康
Owner NINGBO UNIV