An Analog Predistortion Linearizer with Independently Tunable Gain and Adjustable Shape Using an Asymmetric Reflective Structure

7 Pages Posted: 5 Sep 2024

See all articles by Ben hua Ma

Ben hua Ma

PLA Strategic Support Force Information Engineering University

Dewei Zhang

PLA Strategic Support Force Information Engineering University

Hailin Deng

PLA Strategic Support Force Information Engineering University

Hang Qian

PLA Strategic Support Force Information Engineering University

Dalong Lv

PLA Strategic Support Force Information Engineering University

Dongfang Zhou

PLA Strategic Support Force Information Engineering University

Abstract

This paper presents a novel reflective analog predistortion (RAPD) linearizer with independently tunable gain conversion and shape tunable. Based on an asymmetric reflective topology, which consists of a nonlinear branch and a linear branch, this linearizer achieves a simple circuit structure. Independent tuning of gain conversion of this linearizer is realized by changing the bias voltage of the linear branch. Meanwhile, the shape of the amplitude compensation of the linearizer can be adjusted by changing the bias voltage of the nonlinear impedance matching network (NIMN) in the nonlinear branch. The theoretical analysis and tuning process of this linearizer are discussed in detail. The tunability of the APD is verified by simulation and measurement results, which are in agreement. Furthermore, a Ku-band 50 W solid state power amplifier (SSPA) is linearized by the APD. The third-order intermodulation (C/IM3) is greater than 26.1 dBc at 2 dB output power backoff (OPBO) over the operating band of 10.7~12.7 GHz, indicating that the APD can improve the nonlinearity of SSPA effectively.

Keywords: analog predistortion, power amplifier, gain independently tunable, shape tunable

Suggested Citation

Ma, Ben hua and Zhang, Dewei and Deng, Hailin and Qian, Hang and Lv, Dalong and Zhou, Dongfang, An Analog Predistortion Linearizer with Independently Tunable Gain and Adjustable Shape Using an Asymmetric Reflective Structure. Available at SSRN: https://ssrn.com/abstract=4947819 or http://dx.doi.org/10.2139/ssrn.4947819

Ben hua Ma

PLA Strategic Support Force Information Engineering University ( email )

450001
China

Dewei Zhang (Contact Author)

PLA Strategic Support Force Information Engineering University ( email )

450001
China

Hailin Deng

PLA Strategic Support Force Information Engineering University ( email )

450001
China

Hang Qian

PLA Strategic Support Force Information Engineering University ( email )

Dalong Lv

PLA Strategic Support Force Information Engineering University ( email )

450001
China

Dongfang Zhou

PLA Strategic Support Force Information Engineering University ( email )

450001
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
24
Abstract Views
108
PlumX Metrics