Design And Research Of Low Power Consumption Digital Filter System In Seimic Exploration

In modern large-scale seismic exploration instrument, digital filter become a crucial part of data acquisition unit because of its unique advantages. On one hand, High precision, high resolution seismic instruments require the filter has good performance indexes, such as larger extraction rate, good harmonic distortion signal-to-noise ratio, dynamic range, etc.; On the other hand, the high-performance filter must have lower power consumption. Therefore, study on the algorithm of digital filter of high performance with low power consumption becomes the center of this paper. This paper is divided into five parts: the introduction of digital filters in seismic exploration, digital sampling filter design and simulation of digital filter, algorithm level low power design, design and manufacture of high precision signal generator, the implementation and simulation of the digital filter system.The first chapter presents an overview of the important strategic value of oil, the development and function of the digital filter. Then raises the modern seismic performance requirements of digital filterThe second chapter mainly embarks from the signal sampling and sampling, illustrates the design key points and conditions of the extraction filter, at the same time introduced a variety of common features of the filter, and then make use of the filter of multistage filtering system, and do the math simulation, obtained the very good performance.In third chapter, low power consumption optimization from the angle of the algorithm and puts forward different optimization theory according to different filter, implementation results show that the optimized results saved a lot of resources, in accordance with our design.The fourth chapter from the perspective of validation, designs a programmable high precision low frequency signal generator, the test results show that the signal quality conforms to the anticipated target, provides a good platform for the filter performance measurement in the future.The last chapter mainly uses hardware description language to identify the multilevel filter for hardware implementation in the second chapter, at the same time uses the modelsim software for simulation, the simulation results show that the mathematical simulation results agree with the Matlab, from another angle shows the correctness of the design. Finally, in the end of this chapter, summarized and prospected, expounds the innovation of this article, and puts forward the prospect for the future.