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出 处:《电讯技术》2012年第1期49-53,共5页Telecommunication Engineering
基 金:国家自然科学基金资助项目(60901069)~~
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。The traditional predistortion algorithm based on Least Squares(LS) algorithm needs large amount of computations, and cannot keep up with the change of the characteristic of the Power Amplifiers(PAs) adaptively. This paper derives the baseband predistortion algorithm based on the Recursive Least Squares(RLS) algorithm and indirect learning structure, and simulates and analyses the performance of the algorithm. The simulation results indicate that the algorithm works as good as the traditional predistortion algorithm based on LS algo-rithm in compensating the nonlinearity of the PA. For validating the algorithm, a HF(High Frequency) transmitter with predistortion function is designed and built. The hardware test results show that the 3rd intermodulation component of the output of the PA is improved 25 dB after applying the baseband predistortion algorithm, and all the intennodulation components are under -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
分 类 号:TN924[电子电信—通信与信息系统] TN722.7[电子电信—信息与通信工程]
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