Open-loop memory polynomial pre-distorter based on look-up table
-
摘要: 提出了一种基于查表的开环记忆多项式模型(MPM,Memory Polynomial Model)预失真器.从MPM预失真器系数估计和执行信号预失真处理两方面加以考虑.首先,利用预失真器和高功率放大器(HPA,High Power Amplifier)传输特性的互补性,由采集到的HPA输入、输出基带数据进行单次最小二乘估计得到MPM预失真器的系数,避免了以往递归结构的收敛性和计算量大等问题.然后,利用MPM预失真器的特点,建立了基于输入信号强度索引的一维向量表,通过查表实现MPM预失真器的幂次累加项,极大地减少了实现预失真器所需的计算量及硬件开销.仿真显示,采用提出的预失真器可以有效补偿HPA对信号的记忆非线性失真,有效带宽内获得了近20 dB的功率改善,也显著改善了系统误码性能.Abstract: An open-loop memory polynomial pre-distorter based on look-up table was proposed. Both memory polynomial model(MPM) pre-distorter coefficient estimates and the implementation of signal pre-distortion processing were considered. First, with the complementarity on the transmission characteristics for pre-distorter and high power amplifier(HPA), the memory polynomial coefficient was extracted by using once least squares algorithm using sampling input and output signal of power amplifier. Therefore our scheme eliminates convergence issue and reduce calculated amount in iterative architecture which emerged in traditional pre-distorters. And then, by analyzing the feature of memory polynomial pre-distorter, one-dimensional vector table look-up was established, which based on look-up the index of amplitude of input signal. With power-accumulate operations in MPM pre-distorter was implemented through the look-up table, dramatically reduce the cost of computing and hardware for implementing pre-distorter. The simulation results show that, the proposed pre-distorter can effectively compensate memory nonlinearity distortion of system due to high-power amplifier, and the power spectrum characteristics improves approximately 20 dB in the valid bandwidth. Therefore, our scheme can dramatically improve the system bit error rate performance.
-
[1] Vuolevi J H K,Rahkonen T,Manninen J P A.Measurement technique for characterizing memory effects in RF power amplifiers[J].IEEE Transactions on Microwave Theory and Techniques,2001,49(8):1383-1389 [2] Helaly T K,Dansereau R M,El-Tanany M.Analysis of BER performance in presence of nonlinear distortion due to PD-HPA in downlink DS-CDMA signals[J].IEEE Communications Letters,2010,14(4):273-275 [3] Lei Ding,Zhou G T,Morgan D R,et al.A robust digital baseband predistorter constructed using memory polynomials[J].IEEE Transactions on Communications,2004,52(1):159-165 [4] Kim J,Konstantinou K.Digital predistortion of wideband signals based on power amplifier model with memory[J].Electronics Letters,2001,37(23):1417-1418 [5] 李波,葛建华,王勇.一种新的分数阶记忆多项式预失真器[J].电子与信息学报,2009,31(8):1961-1964 Li Bo,Ge Jianhua,Wang Yong.A novel fractional order memory polynomial predistorter[J].Journal of Electronics & Information Technology,2009,31(8):1961-1964 (in Chinese) [6] Changsoo Eun,Powers E J.A new Volterra predistorter based on the indirect learning architecture[J].IEEE Transactions on Signal Processing,1997,45(1):223-227 [7] 王勇,向新,易克初.基于非迭代算法和非直接学习结构的查询表TWTA预失真器[J].通信学报,2006,27(9):107-110 Wang Yong,Xiang Xin,Yi Kechu.Look-up table predistorter based on non-iterative algorithm and indirect learning architecture for TWTA[J].Journal on Communications,2006 27(9):107-110 (in Chinese) [8] Zhu Anding,Draxler P J,Yan J J,et al.Open-Loop digital predistorter for RF power amplifiers using dynamic deviation reduction-based volterra series[J].IEEE Transactions on Microwave Theory and Techniques,2008,56(7):1524-1534 [9] Guan Lei,Zhu Anding.Low-cost FPGA implementation of Volterra series-based digital predistorter for RF power amplifiers[J].IEEE Transactions on Microwave Theory and Techniques,2010,58(4):866-872 期刊类型引用(11)
1. 闫富乾,石致远,王立闻. 基于改进灰狼算法的柔性作业车间动态节能分批调度问题. 现代制造工程. 2024(01): 24-32+161 . 百度学术
2. 闫富乾,陈浩杰,丁国富,孟祥印,张剑. 求解柔性分批调度问题的双层搜索框架入侵杂草算法. 计算机集成制造系统. 2023(02): 556-567 . 百度学术
3. 张森悦,隋学梅,李一波. 基于自适应樽海鞘算法的多无人机任务分配. 吉林大学学报(理学版). 2022(05): 1123-1132 . 百度学术
4. 黄刚,李军华. 基于AC-DSDE进化算法多UAVs协同目标分配. 自动化学报. 2021(01): 173-184 . 百度学术
5. 刘森琪,王鸿,于宁宇,郝礼楷. 基于信息素启发狼群算法的UAV集群火力分配. 北京航空航天大学学报. 2021(02): 297-305 . 本站查看
6. 王昭,华翔. 一种改进多目标灰狼优化算法的多无人机任务分配. 西安工业大学学报. 2021(01): 94-102 . 百度学术
7. 郑书坚,赵文杰,钟永建,贺敏,赵文龙. 面向多目标拦截问题的协同任务分配方法研究. 空天防御. 2021(03): 55-64 . 百度学术
8. 韩统,崔明朗,张伟,陈国明,王骁飞. 多无人机协同空战机动决策. 兵器装备工程学报. 2020(04): 117-123 . 百度学术
9. 游航航,韩其松,余敏建,龙宏志,杨海燕,李朋永. 基于AIGWO-IMMUKF的目标跟踪算法. 北京航空航天大学学报. 2020(10): 1826-1833 . 本站查看
10. 黄长强. 未来空战过程智能化关键技术研究. 航空兵器. 2019(01): 11-19 . 百度学术
11. 王荣巍,何锋,周璇,鲁俊,李二帅. 面向无人机蜂群的航电云多层任务调度模型. 航空学报. 2019(11): 221-232 . 百度学术
其他类型引用(9)
-

计量
- 文章访问数: 2929
- HTML全文浏览量: 100
- PDF下载量: 562
- 被引次数: 20