US 12,368,429 B2
Machine-learning based tuning algorithm for duplexer systems
Björn Lenhart, Nuremberg (DE); Joonhoi Hur, Sunnyvale, CA (US); Harald Pretl, Schwertberg (AT); and Rastislav Vazny, Sunnyvale, CA (US)
Assigned to Apple Inc., Cupertino, CA (US)
Filed by Apple Inc., Cupertino, CA (US)
Filed on May 31, 2024, as Appl. No. 18/680,493.
Application 18/680,493 is a division of application No. 17/366,692, filed on Jul. 2, 2021, granted, now 12,040,772.
Prior Publication US 2024/0322782 A1, Sep. 26, 2024
Int. Cl. H03H 7/40 (2006.01); G06N 20/00 (2019.01); H04B 1/04 (2006.01); H04B 17/10 (2015.01); H04B 17/12 (2015.01)
CPC H03H 7/40 (2013.01) [G06N 20/00 (2019.01); H04B 1/0458 (2013.01); H04B 17/104 (2015.01); H04B 17/12 (2015.01)] 20 Claims
OG exemplary drawing
 
1. A method for adjusting an impedance tuner of a duplexer of an electronic device, comprising:
receiving, via processing circuitry of the electronic device, a plurality of test impedance settings of the impedance tuner for transmitting a plurality of test transmission signals and for receiving a plurality of test reception;
receiving, via the processing circuitry, a plurality of transmitter leakage values and a plurality of receiver leakage values based on the plurality of test impedance settings; and
adjusting, via the processing circuitry, the impedance tuner based on the plurality of transmitter leakage values and the plurality of receiver leakage values.