{"title":"Design of decimation filter for real-time signal processing of micro-air-vehicles","authors":"Yingjun Ding, Shun-an Zhong, J. Chen","doi":"10.1109/CISP.2011.6100533","DOIUrl":null,"url":null,"abstract":"This paper reports a digital decimation filter chip for real-time signal processing of micro-air-vehicles (MAVs), which is composed of cascade integrator comb (CIC) filter, half-band filter and CIC compensation filter. To obtain low power, low hardware cost and efficient area, optimization was performed at behavioral level modeling and register transfer level (RTL) design. A mathematical framework was presented to perform parameters optimization of different filters. The layout was designed based on SMIC 0.18 µ m process library. The verification results show that the chip achieves a signal to noise ratio (SNR) of 54.40dB. The chip area occupies 1.69mm2 and dissipates only 2.95mW power. Area and power are well satisfied with the separation point detection of MAVs' boundary layer.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 4th International Congress on Image and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP.2011.6100533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper reports a digital decimation filter chip for real-time signal processing of micro-air-vehicles (MAVs), which is composed of cascade integrator comb (CIC) filter, half-band filter and CIC compensation filter. To obtain low power, low hardware cost and efficient area, optimization was performed at behavioral level modeling and register transfer level (RTL) design. A mathematical framework was presented to perform parameters optimization of different filters. The layout was designed based on SMIC 0.18 µ m process library. The verification results show that the chip achieves a signal to noise ratio (SNR) of 54.40dB. The chip area occupies 1.69mm2 and dissipates only 2.95mW power. Area and power are well satisfied with the separation point detection of MAVs' boundary layer.