摘要
众多研究发现5G体系结构中功率放大器(PA:Power Amplifier)存在着非线性特征,这使得信号传输过程中会出现失真。目前采用的DPD(Digital Adaptive Predistortion:数字自适应预失真)方法降低失真效果并不理想。在大数据输入时,会导致功率放大器拥塞饱和、DPD输出功率非线性、收敛性降低以及信号信息相互干扰等情况出现。通过分析数字预失真系统,构建特征函数和探测函数模型,提出一种全新的基于LUT的自适应探测技术并对其进行性能仿真评估。通过测量收敛速度和动态信号功率的变化,可以得出特征函数和功率放大器自适应探测技术相结合具有较好的性能、较快的收敛速度和较少的计算步骤,能够有效地增强DPD方法降低失真的性能。
Numerous studies have found that the power amplifier in the 5G architecture has nonlinear characteristics,which can distort the signal transmission.The current DPD(digital adaptive predistortion)method is not ideal for reducing distortion.In the case of big data input,the power amplifier congestion saturation,DPD output power nonlinear,convergence reduction and signal information mutual interference etc.By analyzing the digital predistortion system,a new adaptive detection technology based on LUT is proposed and the performance simulation evaluation is proposed,too.By measuring the convergence speed and the change of the dynamic signal pow⁃er,we can draw the characteristic function and power amplifier combined adaptive detection technology has a better performance,faster con⁃vergence speed and less calculation steps,can effectively enhance the performance of the DPD method to reduce the distortion.
作者
陈丽琴
CHEN Liqin(Zhejiang Business College,Hangzhou 310053,China)
出处
《通信与信息技术》
2024年第2期46-49,63,共5页
Communication & Information Technology
基金
2022年浙江省教育厅一般科研项目“面向高速无线网络的小型化有源阵列天线关键技术研究”研究成果(项目编号:Y202249602)。
关键词
无线通信
失真
特征函数
最小二乘法
收敛
基函数
取样频率
Wireless communication
Distortion
Characteristic function
Least squares method
Convergence
Basis function
Sam⁃pling frequency
