Biblio

Filters: Author is Pan, Changyong  [Clear All Filters]
2023-04-28
Liu, Cen, Luo, Laiwei, Wang, Jun, Zhang, Chao, Pan, Changyong.  2022.  A New Digital Predistortion Based On B spline Function With Compressive Sampling Pruning. 2022 International Wireless Communications and Mobile Computing (IWCMC). :1200–1205.
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.
ISSN: 2376-6506
2020-06-15
Cai, Peixiang, Zhang, Yu, Wang, Xuesi, Pan, Changyong.  2018.  Motion-Aware Clock Synchronization for Mobile Ad-Hoc Networks. 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). :1–5.
Recently, mobile ad-hoc networks (MANET) have been widely used in several scenarios. Due to its generally high demands on clock synchronization accuracy, the conventional synchronization algorithms cannot be applied in many high-speed MANET applications. Hence, in this paper, a clock synchronization algorithm based on motion information such as the speed of nodes is proposed to eliminate the error of round-trip-time correction. Meanwhile, a simplified version of our algorithm is put forward to cope with some resource-constrained scenes. Our algorithm can perform well in most situations and effectively improve the clock synchronization accuracy with reasonable communication overhead, especially in high-speed scenes. Simulation results confirm the superior accuracy performance achieved by our algorithm.