High Precision RF Transmit Power Calibration Based on Recursive Least Squares Estimation

Chen, Xin1,2; Gong, Yi1; Lin, Xiaohuan2; Quan, Zhi1

10.1109/ICCS.2016.7833569

2016

978-1-5090-3424-6

2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS)

1-6

14-16 Dec. 2016

Shenzhen, China

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Radio frequency (RF) transmit power calibration plays an important role in the design of wireless transceivers. In order to accurately control the level of the transmit power, this paper proposes a mathematical model for the the RF front-end module with closed-loop power control. By transforming transmit power calibration into a signal estimation problem, we are able to apply the recursive least squares (RLS) filtering algorithm to adaptively adjust the parameters of RF power amplifier so that the output power level can converge to the target rapidly. Compared with the traditional calibration method, the proposed calibration algorithm delivers better RF transmit power accuracy with lower computational complexity. The empirical results show that the proposed method is able to reduce the transmit power error from +/- 1.5 to +/- 0.25 dB.

Radio frequency wireless transceiver power calibration adaptive filtering recursive least squares

第一 ; 通讯

英语

CPCI-S ; EI

Natural Science Foundation of Guangdong Province[2015A030313844]

Telecommunications

Telecommunications

WOS:000401807600020

20170903398396

Adaptive filtering ; Adaptive filters ; Calibration ; Estimation ; Power amplifiers ; Radio transceivers ; Radio waves ; Transceivers

Electromagnetic Waves:711 ; Amplifiers:713.1 ; Radio Systems and Equipment:716.3 ; Specific Variables Control:731.3 ; Mathematics:921

Web of Science

1.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China
2.Xian Polytech Univ, Coll Elect & Informat, Xian, Peoples R China

Chen, Xin,Gong, Yi,Lin, Xiaohuan,et al. High Precision RF Transmit Power Calibration Based on Recursive Least Squares Estimation[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016:1-6.