Open AccessBinary search algorithm for adaptive impedance matching network
Author(s) -
Xiong B.,
Hofmann K.
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.3830
Subject(s) - reactance , matching (statistics) , component (thermodynamics) , impedance matching , binary number , convergence (economics) , binary search algorithm , electrical impedance , algorithm , computer science , control theory (sociology) , mathematics , search algorithm , engineering , voltage , artificial intelligence , physics , arithmetic , statistics , control (management) , economic growth , electrical engineering , economics , thermodynamics
A novel design strategy for adaptive impedance matching network which consists of two tunable components is presented. The input resistance is controlled by the first tunable component and independent of the second tunable component. Additionally, the proposed strategies ensure that the input resistance is proportional to the first tunable component and input reactance is proportional to the second tunable component. Therefore, the binary search algorithm is employed to calibrate the tunable matching network. In contrast to the single‐step method, the convergence speed is improved from O ( N ) to O (log N ).