【摘要】 提出了一种由自适应均衡器和基于多项式的无记忆预失真单元级联组成的记忆型数字基带预失真器.在该预失真器中,首先通过传输窄带训练序列得到能够补偿功率放大器非线性的无记忆预失真器的参数.然后通过一种自适应均衡算法修改均衡器的参数抵消功率放大器的记忆效应.由于将功率放大器的非线性和记忆效应分开处理,其结构和自适应算法复杂度比普通记忆型预失真器大大降低.计算机仿真结果表明,该预失真器能够有效地校正由于功率放大器的非线性和记忆效应引起的信号失真.更多还原

【Abstract】 This paper proposes a digital predistorter which can compensate nonlinearity and memory effects of power amplifier in a communication system,which consists of an adaptive equalizer and a memoryless predistorter based on polyaminals.The memoryless predistorter is used for compensating nonlinearity,whose parameters are estimated by using a narrowband training sequence,while the equalizer is used for compensating memory effects,whose parameters are iteratively updated by means of an adaptive algorithm.Because nonlinearity and memory effects are pocessed seperately,the structure of the predistorter and its adaptive algorithms are much simpler than those of the conventional one.Simulation results show that the predistorter can correct the signal distortion effectively caused by nonlinearity and memory effects of power amplifiers.更多还原