Design And Simulation Research On FIR Digital Filter

With the rapid development of science and technology, digital signal processing technology is widely applied in many kinds of fields. Digital filtering technology plays a very important role in the digital signal processing technology. Traditional analog filters can hardly meet the demands of industrial production, therefore, the research on digital filter has very important practical significance. Compared to analog filters, digital filters have no drift, and be able to deal with low-frequency signals, it's frequency response characteristics can be made very close to the desired characteristics, and could abtain very high accuracy, very easy to integrate, these advantages determine that the application of digital filter will become more and more wide. In this paper, firstly, the concept and mathematical model of finite impulse response digital filter(FIR digital filter) are disserted. The various network structures and the characteristics of the finite impulse response digital filter are analysised. The basic theory of finite impulse response digital filter is widely dissertated. The methods that design finite impulse response digital filter are researched.Based on the above theoretical analysis, the following tasks are completed:In order to make up for the lack of traditional design methods, improving the design accuracy, in this paper, an advanced optimization design is used. Design FIR digital filters, finite impulse response digital filter system simulation model is set up in simulink environment. Optimize design method and frequency sampling method are used to design filters, which are used to filte out the noise signal. The whole filtering process is detected by several oscilloscopes.The realization of finite impulse response digital filter is completed on the CCS software platform. MATLAB and the CCS are both used to develope, the filter project is producted in CCS, and is debugged successfully on the CCS software platform, obtain the result. Finaly, the filte results is analysised respectively in time-domain and frequency-domain. Compared to traditional realization method, the method used in this paper could shorten the development cycle, simplify the development process.