Signal processing system based on FPGA (Field Programmable Gate Array) of acoustic Doppler current profiler

Abstract

The invention discloses a signal processing system of an acoustic Doppler current profiler based on an FPGA (Field Programmable Gate Array). The signal processing system comprises a main processor module, a slave processor module, an echo signal acquisition module, a communication module, a power source module, a control signal output module and a data storage module, wherein the echo signal acquisition module is used for synchronously acquiring echo signals fed back by the current profiler and transmitting the sampled signals to the main processor module; the main processor module is responsible for the realization of a signal processing algorithm and comprises multiple down-sampling filtration, multiple correlation operation and the like; in addition, processed data also need to be stored; the processed data are stored in the data storage module; the slave processor module is used as an auxiliary processing unit and is used for the communication management of power dissipation of the system and partial data; the communication module is used for completing the receiving and dispatching of external data. Aiming at the characteristics of large data volume and algorithm complexity of a processing unit of the acoustic Doppler current profiler, the signal processing system uses the FPGA as a core data processor of the main processor module, so that the timeliness and the accuracy of data processing are ensued. The signal processing system has the advantages of strong expansibility multiple functions and meets the high requirements of the acoustic Doppler current profiler on data operation.

Description

technical field [0001] The invention relates to FPGA technology and Doppler frequency shift technology, in particular to a system using FPGA to process signals of an acoustic Doppler velocity profiler. Background technique [0002] In the hydrological survey of rivers, the measurement of flow velocity is a very important task. In the past, single-point flow meters (such as mechanical flow meters, electrical connection flow meters, etc.) were generally used to measure the flow of each vertical line one by one. Measure the flow velocity at a point, and then convert the flow rate of the entire section according to the flow velocity area method. Although the measurement accuracy of this test method can meet the requirements of the hydrological test specification, it takes a long time and has a large work intensity, which are its great disadvantages. Acoustic Doppler Velocity Profiler (ADCP for short) uses the acoustic Doppler effect to measure flow. A pulse of a certain frequen...

AI Technical Summary

Problems solved by technology

DSP has the advantages of relatively mature technology, complete implementation tools, and simple programming. However, due to the limitations of its internal structure, phenomena such as cache misses often occur during calculations, which affect system computing performance.

In the design of DSP technology, the continuous computing performance can only be maintained at 10% to 33% of its peak computing performance, and high computing performance cannot be achieved.

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