Cong Tao, Liangbo Lei, Z. Chen, Zhiliang Hong, Yumei Huang
{"title":"Robustness Enhancement Technique and Fine-Tuning Technique of IIP3 for Wideband LNTA","authors":"Cong Tao, Liangbo Lei, Z. Chen, Zhiliang Hong, Yumei Huang","doi":"10.1109/IWS55252.2022.9977624","DOIUrl":null,"url":null,"abstract":"Wideband low noise transconductance amplifier(LNTA) is an essential part of current-mode SAW-less receivers, and its linearity design is the most challenging. Many low noise amplifier(LNA) linearization techniques(LT) are also applicable to LNTA, such as the famous derivative superposition(DS) and post-distortion(PD). But these techniques are not robust and are prone to failure. This paper is based on a noise canceling(NC) LNTA prototype and improves its performance in several aspects with some unique analysis. The robustness of the IIP3 of the original LNTA is enhanced by using a self-biasing network. By changing the connection of the DS MOSFETs, the sensitivity of the IIP3 to the load resistance is reduced. Finally, by adopting PD as a fine-tuning technique in the right place, the IIP3 of the LNTA is improved to more than 20dBm.","PeriodicalId":126964,"journal":{"name":"2022 IEEE MTT-S International Wireless Symposium (IWS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE MTT-S International Wireless Symposium (IWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWS55252.2022.9977624","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
Wideband low noise transconductance amplifier(LNTA) is an essential part of current-mode SAW-less receivers, and its linearity design is the most challenging. Many low noise amplifier(LNA) linearization techniques(LT) are also applicable to LNTA, such as the famous derivative superposition(DS) and post-distortion(PD). But these techniques are not robust and are prone to failure. This paper is based on a noise canceling(NC) LNTA prototype and improves its performance in several aspects with some unique analysis. The robustness of the IIP3 of the original LNTA is enhanced by using a self-biasing network. By changing the connection of the DS MOSFETs, the sensitivity of the IIP3 to the load resistance is reduced. Finally, by adopting PD as a fine-tuning technique in the right place, the IIP3 of the LNTA is improved to more than 20dBm.