Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Radio frequency (RF) transmit por calibration plays an important role in the design of wireless transceivers. In order to accurately control the level of the transmit por, this paper proposes a mathematical model for the the RF front-end module with closed-loop por control. By transforming transmit por calibration into a signal estimation problem,  are able to apply the recursive least squares (RLS) filtering algorithm to adaptively adjust the parameters of RF por amplifier so that the output por level can converge to the target rapidly. Compared with the traditional calibration method, the proposed calibration algorithm delivers better RF transmit por accuracy with lor computational complexity. The empirical results show that the proposed method is able to reduce the transmit por error from ±1.5 to ±0.25 dB.
['Xin Chen', 'Yi Gong', 'Xiaohuan Lin', 'Zhi Quan']
I am writing a research paper on a idea High precision RF transmit power calibration based on recursive least squares estimation
[{"from": "human", "value": "I am writing a research paper on a idea High precision RF transmit power calibration based on recursive least squares estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Radio frequency (RF) transmit por calibration plays an important role in the design of wireless transceivers. In order to accurately control the level of the transmit por, this paper proposes a mathematical model for the the RF front-end module with closed-loop por control. By transforming transmit por calibration into a signal estimation problem,  are able to apply the recursive least squares (RLS) filtering algorithm to adaptively adjust the parameters of RF por amplifier so that the output por level can converge to the target rapidly. Compared with the traditional calibration method, the proposed calibration algorithm delivers better RF transmit por accuracy with lor computational complexity. The empirical results show that the proposed method is able to reduce the transmit por error from \u00b11.5 to \u00b10.25 dB."}]