For wireless networks in the Internet of Things (IoT), cognitive radio (CR) is a promising way
to obtain the available spectrum for objects. Wide-band spectrum sensing plays an important …

In this article, we present a novel technique to build digital predistorters that can linearize
broadband power amplifiers (PAs) using reduced sampling rates. In contrast to conventional …

A novel block-oriented time-delay neural network (BOTDNN) model for dynamic nonlinear
modeling and digital predistortion (DPD) of RF power amplifiers (PAs) is proposed. The …

In this article, a real-time digital predistortion (DPD) hardware architecture is presented for
the linearization of fifth-generation (5G) transmitters with wideband modulation signals. To …

In modern communication systems advanced techniques such as digital predistortion (DPD)
are required to satisfy stringent demands on transmitter linearity and efficiency. DPD …

A novel direct-learning digital predistortion (DPD) of power amplifier (PA) is proposed to
alleviate the requirement of an analog-to-digital converter (ADC) in the feedback path …

The power amplifier (PA) is the most critical subsystem in terms of linearity and power
efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the …

兰榕①② 胡欣③ 邹峰① 王刚① 罗积润* ① ① (中国科学院电子学研究所北京100190) ②
(中国科学院大学北京100049) ③ (北京邮电大学北京100876) 摘要: 为了解决行波管(TWT) …

This article proposes a novel linear-decomposition digital predistortion (LD-DPD) for the
linearization of power amplifiers (PAs) in ultra broadband applications. LD-DPD is able to …

This paper expounds on the mitigation of the hardware nonidealities exhibited by millimeter-
wave (mm-wave) transmitters (TXs) generating ultra-wideband signals. In particular, it …