一种基于CIC和FIR的低功耗数字滤波器设计
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摘要
针对地震信号采集系统中的滤波器设计问题,提出一种基于CIC滤波器和FIR滤波器的低功耗数字滤波解决方案.系统由四级前端CIC滤波器、三级前端FIR滤波器和一级离线均衡FIR滤波器构成,以满足地震信号采集系统和地质勘探的需求.对各级滤波器和整个系统的幅频特性和相频特性进行了研究,并通过仿真完成性能验证,结果显示此低功耗数字滤波系统的性能完全能够满足实际需求;将此低功耗数字滤波系统与当前业界的片上数字滤波解决方案进行对比,证明了此低功耗数字滤波系统能够大幅减少总运算量和前端功耗运算量.
A low power digital filter solution was proposed to solve data decimation and signal filtering problem in seismic signal acquisition equipment.The filter system is constructed with four front-end CIC filters,three front-end FIR filters and a back-end FIR filter to meet the requirements of acquisition equipment and geological analysis.The frequency and phase responses of each filter and the whole low power digital filter system are analyzed.The simulation proves that the proposed solution can work well in seismic signal acquisition equipment.The low power digital filter system is also compared to the current on-chip digital filter solution currently in use in the industry in total calculation quantity and front-end calculation quantity.The results show that the proposed solution can radically reduce both total calculation quantity and front-end calculation quantity.
A low power digital filter solution was proposed to solve data decimation and signal filtering problem in seismic signal acquisition equipment.The filter system is constructed with four front-end CIC filters,three front-end FIR filters and a back-end FIR filter to meet the requirements of acquisition equipment and geological analysis.The frequency and phase responses of each filter and the whole low power digital filter system are analyzed.The simulation proves that the proposed solution can work well in seismic signal acquisition equipment.The low power digital filter system is also compared to the current on-chip digital filter solution currently in use in the industry in total calculation quantity and front-end calculation quantity.The results show that the proposed solution can radically reduce both total calculation quantity and front-end calculation quantity.
引文
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[11]Hogenauer E.An economical class of digital filters fordecimation and interpolation[J].IEEE Transactions onAcoustics,Speech and Signal Processing,1981,29(2):155-162.
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[13]Wei Kang,Deng Yan,Wang Haishan.Designinterface between a seismic exploration digital filterchip CS5376and an FPGA[J].Journal of TsinghuaUniversity(Science and Technology),2009,49(5):692-695.
[2]程佩青.数字信号处理教程[M].北京:清华大学出版社,1995.
[3]Li Qinzong.Some mistaken concepts in high-resolutionseismic exploration and the correspondingcountermeasures[J].OGP,1997,32(6):751-783.
[4]Greene M.The discrete prolate spheroidal sequencesand a series expansion for seismic wavelets[J].Geophysics,2007,72(6):119-132.
[5]Li Hequn,Meng Xiaohong,Zhao Bo,et al.Seismicdata quality and sand layer Q absorption in Tarimdesert area[J].Oil Geophysical Prospecting,2010,45(1):28-34.
[6]He Zhengmiao,Song Kezhu,Tang Jiajun,et al.Application of 24bit ADC in a data acquiring systemfor seismic survey[J].Journal of Data Acquisition andProcessing,2005,20(2):244-248.
[7]Su Guishi,Shen Kefei,Ding Xueyin.Discussion onphase character of seismic wavelet in seismic dataprocessing[J].Oil Geophysical Prospecting,2008,43(2):121-124.
[8]Shirzi M A,Yazdi M R H,Lucas C.Combinedintelligent control(CIC):An intelligent decisionmaking algorithm[J].International Journal ofAdvanced Robotic Systems,2007,4(1):35-44.
[9]Oppenheim A V,Willsky A V,Hamid Nawab S.Signals and Systems[M].2nd ed.New Delhi:Prentice-Hall India,1997.
[10]Lyons R G.Understanding Digital Signal Processing[M].2nd ed.Upper Saddle River,NJ:Prentice Hall,2004:556-561.
[11]Hogenauer E.An economical class of digital filters fordecimation and interpolation[J].IEEE Transactions onAcoustics,Speech and Signal Processing,1981,29(2):155-162.
[12]Oppenheim A V,Schafer R W.Digital SignalProcessing[M].Englewood Cliffs,NJ:Prentice Hall,1975.
[13]Wei Kang,Deng Yan,Wang Haishan.Designinterface between a seismic exploration digital filterchip CS5376and an FPGA[J].Journal of TsinghuaUniversity(Science and Technology),2009,49(5):692-695.
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