| 摘要: |
| 传统的最小二乘（LS）类预失真算法运算量大，且不能跟踪功放的变化特性。推导了基于
递归最小二乘（RLS）
算法和间接学习型结构的自适应基带预失真算法，并仿真和分析了算法的性能，结果显示该
算法与传统的LS类预失真算法对系统功放非线性改善的效果相当。为了进一步验证算法的有
效性，设计和构建了具有预失真功能的短波发射系统。硬件测试结果表明，该算法对功放输
出的双音信号的三阶互调改善量达25 dB，所有互调分量均低于-53 dB。 |
| 关键词: 短波发射机 功率放大器 基带预失真 递归最小二乘算法 间
接学习型 多
项式模型 |
| DOI： |
|
| 基金项目:国家自然科学基金资助项目(60901069) |
|
| Application of RLS algorithm in baseband predistortion systems |
| QU Xiao-xu,LOU Jing-yi,GAO Jun |
| () |
| Abstract: |
| The traditional predistortion algorithm based on Least Squares(LS) a
lgorithm needs large amount of computations, and cannot keep up with the change
of the characteristic of the Power Amplifiers(PAs) adaptively. This paper derive
s the baseband predistortion algorithm based on the Recursive Least Squares(RL
S) algorithm and indirect learning structure, and simulates and analyses the per
formance of the algorithm. The simulation results indicate that the algorithm wo
rks as good as the traditional predistortion algorithm based on LS algorithm in
compensating the nonlinearity of the PA. For validating the algorithm,a HF(High
Frequency) transmitter with predistortion function is designed and built. The h
ardware test results show that the 3rd intermodulation component of the outp
ut of the PA is improved 25 dB after applying the baseband predistortion alg
orithm, and all the intermodulation components are under -53 dB. |
| Key words: HF transmitter power amplifier baseband predistortion RLS algorithm indirect learning struct
ure polynomial model |
《电讯技术》编辑部 