{"title":"Phase-compensator design using two-step mathematical programming","authors":"T. Deng","doi":"10.1109/TENCON.2016.7848190","DOIUrl":null,"url":null,"abstract":"This paper presents a new technique for designing an all-pass phase compensator (AP-PC) using a two-step mathematical programming strategy. Such an AP-PC alters the phase characteristics of a nonlinear-phase digital system and achieves phase compensation. In this paper, we first briefly review the approximate phase-error expression that is a linear function of the AP-PC coefficients, and then use the linear programming (LP) strategy to determine the sub-optimal coefficients. After getting the sub-optimal solution, we use the resulting coefficients as the initial values for the further non-linear-programming (NLP). Therefore, this design technique includes two steps (LP plus NLP: LP-NLP). Combining the above two-step optimizations significantly improves the final design accuracy. An example is provided for checking the accuracy improvement by employing the LP-NLP design strategy.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Region 10 Conference (TENCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2016.7848190","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 presents a new technique for designing an all-pass phase compensator (AP-PC) using a two-step mathematical programming strategy. Such an AP-PC alters the phase characteristics of a nonlinear-phase digital system and achieves phase compensation. In this paper, we first briefly review the approximate phase-error expression that is a linear function of the AP-PC coefficients, and then use the linear programming (LP) strategy to determine the sub-optimal coefficients. After getting the sub-optimal solution, we use the resulting coefficients as the initial values for the further non-linear-programming (NLP). Therefore, this design technique includes two steps (LP plus NLP: LP-NLP). Combining the above two-step optimizations significantly improves the final design accuracy. An example is provided for checking the accuracy improvement by employing the LP-NLP design strategy.