A Dual Frequency Predistortion Adaptive Sparse Signal Reconstruction Algorithm

Autor:	Mingming Gao, Shaojun Fang, Jinling Wang, Xueman Zhang, Yuan Cao
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	adaptive reconstruction algorithm compressed sensing dual frequency amplifier predistortion subspace tracking Engineering (General). Civil engineering (General) TA1-2040
Zdroj:	Tehnički Vjesnik, Vol 29, Iss 2, Pp 580-589 (2022)
Druh dokumentu:	article
ISSN:	1330-3651 1848-6339 20210728
DOI:	10.17559/TV-20210728035851
Popis:	To solve the problem of a high sampling rate in the dual-frequency power amplifier predistortion system, a dual frequency predistortion adaptive sparse signal reconstruction algorithm is proposed. Firstly, a memory effect compensator based on piecewise polynomial model is adopted. The signal fusion is interpreted as the problem of Compressed Sensing sampling reconstruction. In the predistortion feedback loop, the missing fifth-order and high-order cross-modulation signals are reconstructed accurately by using the adaptive sparse algorithm. The minimum mean square solution of coefficient weight approximates the optimal value, and the acquisition error is reduced to improve the linearization effect. The experimental results show that it is of great significance to reduce the sampling rate of dual band predistortion and improve the linearity of power amplifier.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b84d97e91a7f418c85bc6e6b93f35972 Zobrazit plný text záznamu View record in DOAJ