Invention Application
- Patent Title: METHOD AND SYSTEM FOR ENABLING REAL-TIME ADAPTIVE RADIO FREQUENCY TRANSMITTER OPTIMIZATION
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Application No.: PCT/US2022/046872Application Date: 2022-10-17
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Publication No.: WO2023064626A1Publication Date: 2023-04-20
- Inventor: EGBERT, Austin, Scott
- Applicant: BAYLOR UNIVERSITY
- Applicant Address: 213 Pat Neff Hall
- Assignee: BAYLOR UNIVERSITY
- Current Assignee: BAYLOR UNIVERSITY
- Current Assignee Address: 213 Pat Neff Hall
- Agency: LALLY, Joseph, P. et al.
- Priority: US63/256,001 2021-10-15
- Main IPC: G01S7/40
- IPC: G01S7/40 ; G01S13/00 ; G06N3/045 ; G06N3/0475
Abstract:
A disclosed radio frequency (RF) system, such as a cognitive radar, includes a software defined radio (SDR), an adaptive transmit amplifier, and a host computer. The system performs optimization operations including selecting an initial impedance as a load impedance for the RF device and iteratively performing image completion operations until a convergence criterion is satisfied. The image completion operations may include measuring a performance of the RF device to obtain a measured performance corresponding to the load impedance, storing the measured performance as a point on a measured load-pull contour image, performing a load-pull extrapolation to extrapolate, from the load impedance, a predicted optimal impedance, and saving the predicted impedance as the load impedance for a next iteration of the image completion operations. The convergence criterion may be satisfied when a predicted impedance matches one of the previously measured impedances.
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