Rapid phase discrimination and automatic transmission unit

Abstract

The invention discloses a quick phase demodulation and automatic transmission unit, which comprises a first differential square wave generating module (3), a second differential square wave generating module (4), a first shaping acute access module (5), a second shaping acute access module (6), a digital sampling module (7), a digital filter control module (8), a digital filter control module (9) and a communication module (10). The quick phase demodulation and automatic transmission unit not only can quickly output phase difference at a speed of microsecond level, but also can realize accuracy without upper limit.

Description

technical field [0001] The invention relates to an FPGA single-chip phase discrimination and communication unit used for an array induction well logging instrument. Background technique [0002] In the FPGA (Field Programmable Gate Array) single chip of the current array induction logging tool, the phase detection technology mainly includes analog technology phase detection and calculation technology phase detection. The phase detection of analog technology is mainly to extract the time base difference of the zero-crossing point of the two signals with analog technology. The main problems are that the accuracy is difficult to control and the circuit is relatively complicated. At present, computing technology phase identification is mainly based on related computing methods. The main problem is that it needs to build an embedded operating system, and the smallest system is quite large in terms of circuit scale. Contents of the invention [0003] The technical problem to be...

AI Technical Summary

Problems solved by technology

The phase detection of analog technology is mainly to extract the time base difference of the zero-crossing point of the two signals with analog technology. The main problems are that the accuracy is difficult to control and the circuit is relatively complicated.

At present, computing technology phase identification is mainly based on related computing methods. The main problem is that it needs to build an embedded operating system. The smallest system is quite large in terms of circuit scale.

Images