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Träfflista för sökning "LAR1:cth ;lar1:(hig);pers:(Eriksson Thomas)"

Sökning: LAR1:cth > Högskolan i Gävle > Eriksson Thomas

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1.
  • Landin, Per, et al. (författare)
  • Behavioral modeling of outphasing amplifiers considering memory effects
  • 2013
  • Ingår i: 2013 IEEE MTT-S International Microwave Symposium Digest. - : IEEE conference proceedings. - 0149-645X. - 9781467361767
  • Konferensbidrag (refereegranskat)abstract
    • This paper proposes a behavioral model structure for outphasing amplifiers. The model performance is evaluated on a class-D CMOS outphasing amplifier and compared with two models found in the literature. The proposed model structure also allows the use of memory in a parallel Hammerstein-like setting. The proposed models show improvements in adjacent channel error power ratio (ACEPR) of approximately 5 dB in addition to being linear in the parameters. The lower model errors enable the use and design of improved predistorters taking frequency dependency (memory effects) in outphasing amplifiers into account. 
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2.
  • Soltani Tehrani, Ali, 1982, et al. (författare)
  • A Comparative Analysis of the Complexity/Accuracy Tradeoff in Power Amplifier Behavioral Models
  • 2010
  • Ingår i: IEEE transactions on microwave theory and techniques. - 0018-9480 .- 1557-9670. ; 58:6, s. 1510-1520
  • Tidskriftsartikel (refereegranskat)abstract
    • A comparative study of state-of-the-art behavioral models for microwave power amplifiers (PAs) is presented in this paper. After establishing a proper definition for accuracy and complexity for PA behavioral models, a short description on various behavioral models is presented. The main focus of this paper is on the modeling accuracy as a function of computational complexity. Data is collected from measurements on two PAs-a general-purpose amplifier and a Doherty PA designed for WiMAX-for different output power levels. The models are characterized in terms of accuracy and complexity for both in-band and out-of-band error. The results show that, among the models studied, the generalized memory polynomial behavioral model has the best tradeoff for accuracy versus complexity for both PAs, and can obtain high performance at half of the computational cost of all other models analyzed.
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