{"title":"A hardware-aware process for the design of low-power pulse-shaping filters","authors":"C. Bakula, J. Carletta","doi":"10.1109/MWSCAS.2008.4616907","DOIUrl":null,"url":null,"abstract":"A design process for decreasing the average dynamic power consumption of any pulse-shaping filter (PSF) for spread-spectrum communication systems is presented. The process begins with the development of a power consumption approximation function derived from a transistor-level model of the adder used to compute the PSF outputs. This function is then used as the cost function in a simulated annealing search through a set of candidate PSFs produced by perturbing the ideal PSF coefficients. Using a set of PSFs indicative of what would be found in a real application, our process found alternative PSFs with estimated average dynamic power consumption savings ranging from 23.3% to 74.5%. The effects of our process on the frequency response of the PSF, discussed and quantified in this work, are minimal.","PeriodicalId":118637,"journal":{"name":"2008 51st Midwest Symposium on Circuits and Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 51st Midwest Symposium on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.2008.4616907","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A design process for decreasing the average dynamic power consumption of any pulse-shaping filter (PSF) for spread-spectrum communication systems is presented. The process begins with the development of a power consumption approximation function derived from a transistor-level model of the adder used to compute the PSF outputs. This function is then used as the cost function in a simulated annealing search through a set of candidate PSFs produced by perturbing the ideal PSF coefficients. Using a set of PSFs indicative of what would be found in a real application, our process found alternative PSFs with estimated average dynamic power consumption savings ranging from 23.3% to 74.5%. The effects of our process on the frequency response of the PSF, discussed and quantified in this work, are minimal.