Intermediate-frequency ultrasonic signal processing application system received by energy converter

Abstract

The invention provides an intermediate-frequency ultrasonic signal processing application system received by an energy converter. The intermediate-frequency ultrasonic signal processing application system comprises a signal sampling circuit, a first-stage signal amplification circuit, a second-stage signal band-pass filtering amplification circuit, a third-stage signal band-pass filtering amplification circuit and a fourth-stage RF power detection circuit. The output end of the signal sampling circuit is connected with the input end of the first-stage signal amplification circuit; the output end of the first-stage signal amplification circuit is connected with the input end of the second-stage signal band-pass filtering amplification circuit; the output end of the second-stage signal band-pass filtering amplification circuit is connected with the input end of the third-stage signal band-pass filtering amplification circuit; and the output end of the third-stage signal band-pass filtering amplification circuit is connected with the fourth-stage RF power detection circuit.According to the signal processing application system, analog-to-digital conversion and effective reading of signals can be realized without professional signal processing knowledge, so that the signal processing difficulty is greatly reduced.

Description

technical field [0001] The present invention relates to the field of ultrasound, in particular to an application system for processing an intermediate-frequency ultrasound signal received by a transducer, and more specifically to an application circuit for ultrasound reflection signals. Background technique [0002] Most of the existing technologies use ADC chips with large bandwidth, high precision, and ultra-high-speed sampling to process signals. The peripheral circuits of high-performance ADC chips are also relatively complicated. are demanding. At the same time, the high-performance ADC will sample and read all the signals after the above 4-step processing, which will generate a large amount of data (which still contains some clutter signals), and these data need to be transformed by Fourier transform. The signal is converted from the frequency domain to the time domain, and then the envelope of the signal is extracted for effective processing. Therefore, it is difficu...

AI Technical Summary

Problems solved by technology

However, the circuit has higher requirements on the AD chip, the circuit is more complicated, and there is a higher limit on the sampling frequency of the ultrasonic signal.

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