Patent US 11,006,288

Patent №

US 11,006,288

Granted

Owner

Lab

AI components

1

planning

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

16351938

An automated highly efficient “design-test-optimize” recursive loop method for experimentally optimizing embedding networks of active RF networks especially subject to wideband modulated signals, whereby the results of a matching network design are fed into the active load pull system, which synthesizes the response of the specific network design iteration and tests the transistor in real time under the emulated load conditions of the network. The weighed difference between expected and test results are used in an error function and the “design-test” loop is repeated until the error is minimized. The capacity of passive and active modulated tuners and network analysis software tools are jointly used, sharing calculated and measured data. The result of the automated optimization procedure ends into a compromise, which, if acceptable, can be processed into manufacturing with realistically expectable results.

PlanningG06F 30/18H04W 24/02G06F 30/367G06F 30/373G06F 2119/10

AI classification

Planning0.95
Machine learning0.02
AI hardware0.01
Vision0.01
Natural language0.00
Knowledge representation0.00
Speech0.00
Evolutionary computation0.00
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