A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers Export

@article{Morgan06, abstract = {Conventional radio-frequency (RF) power amplifiers operating with wideband signals, such as wideband code-division multiple access (WCDMA) in the Universal Mobile Telecommunications System (UMTS) must be backed off considerably from their peak power level in order to control out-of-band spurious emissions, also known as \&\#8220;spectral regrowth.\&\#8221; Adapting these amplifiers to wideband operation therefore entails larger size and higher cost than would otherwise be required for the same power output. An alternative solution, which is gaining widespread popularity, is to employ digital baseband predistortion ahead of the amplifier to compensate for the nonlinearity effects, hence allowing it to run closer to its maximum output power while maintaining low spectral regrowth. Recent improvements to the technique have included memory effects in the predistortion model, which are essential as the bandwidth increases. In this paper, we relate the general Volterra representation to the classical Wiener, Hammerstein, Wiener\&\#8211;Hammerstein, and parallel Wiener structures, and go on to describe some state-of-the-art predistortion models based on memory polynomials. We then propose a new generalized memory polynomial that achieves the best performance to date, as demonstrated herein with experimental results obtained from a testbed using an actual 30-W, 2-GHz power amplifier.}, author = {Morgan, D. R. and Ma, Z. and Kim, J. and Zierdt, M. G. and Pastalan, J.}, booktitle = {Signal Processing, IEEE Transactions on}, citeulike-article-id = {3485434}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TSP.2006.879264}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1703853}, doi = {10.1109/TSP.2006.879264}, journal = {Signal Processing, IEEE Transactions on}, keywords = {predistortion}, number = {10}, pages = {3852--3860}, posted-at = {2008-11-06 18:05:18}, priority = {0}, title = {A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers}, url = {http://dx.doi.org/10.1109/TSP.2006.879264}, volume = {54}, year = {2006} }

TY - JOUR ID - Morgan06 L3 - citeulike-article-id:3485434 N2 - Conventional radio-frequency (RF) power amplifiers operating with wideband signals, such as wideband code-division multiple access (WCDMA) in the Universal Mobile Telecommunications System (UMTS) must be backed off considerably from their peak power level in order to control out-of-band spurious emissions, also known as “spectral regrowth.” Adapting these amplifiers to wideband operation therefore entails larger size and higher cost than would otherwise be required for the same power output. An alternative solution, which is gaining widespread popularity, is to employ digital baseband predistortion ahead of the amplifier to compensate for the nonlinearity effects, hence allowing it to run closer to its maximum output power while maintaining low spectral regrowth. Recent improvements to the technique have included memory effects in the predistortion model, which are essential as the bandwidth increases. In this paper, we relate the general Volterra representation to the classical Wiener, Hammerstein, Wiener–Hammerstein, and parallel Wiener structures, and go on to describe some state-of-the-art predistortion models based on memory polynomials. We then propose a new generalized memory polynomial that achieves the best performance to date, as demonstrated herein with experimental results obtained from a testbed using an actual 30-W, 2-GHz power amplifier. IS - 10 JF - Signal Processing, IEEE Transactions on EP - 3860 TI - A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers VL - 54 T2 - Signal Processing, IEEE Transactions on SP - 3852 KW - predistortion AU - Morgan, DR AU - Ma, Z AU - Kim, J AU - Zierdt, MG AU - Pastalan, J PY - 2006/// UR - http://dx.doi.org/10.1109/TSP.2006.879264 ER -