| Title | A New Digital Predistortion Based On B spline Function With Compressive Sampling Pruning |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Liu, Cen, Luo, Laiwei, Wang, Jun, Zhang, Chao, Pan, Changyong |
| Conference Name | 2022 International Wireless Communications and Mobile Computing (IWCMC) |
| Keywords | Complexity theory, composability, compressive sampling, Computational modeling, cyber-physical system, digital predistortion, encoding, Fitting, power amplifier, Predistortion, privacy, pubcrawl, resilience, Resiliency, spline, Stability analysis, volterra series, Wireless communication |
| Abstract | A power amplifier(PA) is inherently nonlinear device and is used in a communication system widely. Due to the nonlinearity of PA, the communication system is hard to work well. Digital predistortion (DPD) is the way to solve this problem. Using Volterra function to fit the PA is what most DPD solutions do. However, when it comes to wideband signal, there is a deduction on the performance of the Volterra function. In this paper, we replace the Volterra function with B-spline function which performs better on fitting PA at wideband signal. And the other benefit is that the orthogonality of coding matrix A could be improved, enhancing the stability of computation. Additionally, we use compressive sampling to reduce the complexity of the function model. |
| Notes | ISSN: 2376-6506 |
| DOI | 10.1109/IWCMC55113.2022.9825005 |
| Citation Key | liu_new_2022 |
A New Digital Predistortion Based On B spline Function With Compressive Sampling Pruning