Apple inc. (20240322782). MACHINE-LEARNING BASED TUNING ALGORITHM FOR DUPLEXER SYSTEMS simplified abstract
Contents
MACHINE-LEARNING BASED TUNING ALGORITHM FOR DUPLEXER SYSTEMS
Organization Name
Inventor(s)
Björn Lenhart of Nürnberg (DE)
Joonhoi Hur of Sunnyvale CA (US)
Harald Pretl of Schwertberg (AT)
Rastislav Vazny of Sunnyvale CA (US)
MACHINE-LEARNING BASED TUNING ALGORITHM FOR DUPLEXER SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240322782 titled 'MACHINE-LEARNING BASED TUNING ALGORITHM FOR DUPLEXER SYSTEMS
The patent application discusses techniques for impedance matching in a radio frequency (RF) device.
- The RF device includes a power detector to determine transmitter leakage and a post-processing unit to determine receiver leakage.
- The device then assesses if isolation is acceptable based on the leakages.
- It may also measure antenna impedance or select multiple tuner settings for test signals at a target frequency.
- Multiple sets of leakage values are determined, reflection coefficients are calculated, and estimated antenna impedance is derived at the target frequency.
- Impedance tuner settings are determined based on the measured or estimated antenna impedance.
- An inverse machine-learning model can also be used to determine impedance tuner settings based on a matching impedance.
Potential Applications: - Wireless communication systems - Antenna design and optimization - RF testing and calibration equipment
Problems Solved: - Ensuring proper impedance matching in RF devices - Improving signal quality and efficiency - Enhancing overall performance of wireless systems
Benefits: - Enhanced signal transmission and reception - Optimal utilization of RF spectrum - Improved reliability and stability of wireless networks
Commercial Applications: Title: "Advanced Impedance Matching Technology for Wireless Communication Systems" This technology can be utilized in the development of next-generation wireless devices, network infrastructure, and RF testing equipment. It has the potential to revolutionize the way impedance matching is achieved in various wireless applications, leading to more efficient and reliable communication systems.
Questions about Impedance Matching Technology: 1. How does impedance matching impact the performance of wireless communication systems? Impedance matching ensures maximum power transfer between components, leading to improved signal quality and efficiency in wireless systems.
2. What are the key challenges in implementing impedance matching in RF devices? Challenges include variations in antenna impedance, frequency-dependent characteristics, and the need for real-time adjustments to optimize performance.
Original Abstract Submitted
this disclosure provides techniques for impedance matching. a radio frequency (rf) device includes a power detector to determine a transmitter leakage and a post-processing unit to determine a receiver leakage, and determines if isolation is acceptable based on the leakages. the rf device may include a device for measuring antenna impedance. otherwise, the rf device may select multiple tuner settings (e.g., capacitor values) for test signals to be transmitted and received at a target frequency, determine multiple sets of leakage values, determine multiple reflection coefficients based on the multiple sets of leakage values, and determine an estimated antenna impedance at the target frequency based on the reflection coefficients. the rf device then determines impedance tuner settings based on the measured or estimated antenna impedance. alternatively, the rf device determines impedance tuner settings using an inverse machine-learning model based on a determined matching impedance.
