| 一种低复杂度的自适应并行两箱预失真方法 |
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| 引用本文： | 缪幸吉,刘传辉,陆发平,康家方,王红星.一种低复杂度的自适应并行两箱预失真方法[J].电讯技术,2020(1):70-75. |
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| 作者姓名： | 缪幸吉 刘传辉 陆发平 康家方 王红星 |
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| 作者单位： | 1.海军航空大学 航空通信教研室,山东 烟台 264001;2.山东省信号与信息处理重点实验室,山东 烟台264001,1.海军航空大学 航空通信教研室,山东 烟台 264001;2.山东省信号与信息处理重点实验室,山东 烟台264001,1.海军航空大学 航空通信教研室,山东 烟台 264001;2.山东省信号与信息处理重点实验室,山东 烟台264001,1.海军航空大学 航空通信教研室,山东 烟台 264001;2.山东省信号与信息处理重点实验室,山东 烟台264001,1.海军航空大学 航空通信教研室,山东 烟台 264001;2.山东省信号与信息处理重点实验室,山东 烟台264001 |
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| 基金项目： | 国家自然科学基金青年科学基金项目(61701518) |
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| 摘 要： | 自适应预失真方法能自适应调节阈值,仅对调制信号中大幅值分量进行预失真处理,有效降低了预失真算法复杂度,但由于该方法仍采用正交记忆多项式进行预失真处理,算法复杂度仍旧较高。围绕如何进一步降低预失真处理算法复杂度,引入信号并行处理思想和递推最小二乘算法,提出了一种低复杂度的自适应并行两箱预失真方法。结合调制信号的解析信号表达式,利用算法复杂度更低的递推最小二乘算法分支路对实部和虚部进行预失真处理,有效降低了预失真算法复杂度。理论分析和仿真结果表明,在保证系统误码性能正常的前提下,与并行两箱预失真方法和自适应预失真方法相比,所提算法复杂度分别降低约93%和27.62%。
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| 关 键 词： | 椭圆球面波函数 预失真 并行两箱模型 功率放大器 |
A low complexity adaptive predistortion algorithm based on parallel two-box model |
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| MIAO Xingji,LIU Chuanhui,LU Faping,KANG Jiafang and WANG Hongxing.A low complexity adaptive predistortion algorithm based on parallel two-box model[J].Telecommunication Engineering,2020(1):70-75. |
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| Authors: | MIAO Xingji LIU Chuanhui LU Faping KANG Jiafang and WANG Hongxing |
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| Affiliation: | 1.Aviation Communication Teaching and Research Office,Naval Aviation University,Yantai 264001,China;2.Key Laboratory on Signal and Information Processing of Shandong Province,Yantai 264001,China,1.Aviation Communication Teaching and Research Office,Naval Aviation University,Yantai 264001,China;2.Key Laboratory on Signal and Information Processing of Shandong Province,Yantai 264001,China,1.Aviation Communication Teaching and Research Office,Naval Aviation University,Yantai 264001,China;2.Key Laboratory on Signal and Information Processing of Shandong Province,Yantai 264001,China,1.Aviation Communication Teaching and Research Office,Naval Aviation University,Yantai 264001,China;2.Key Laboratory on Signal and Information Processing of Shandong Province,Yantai 264001,China and 1.Aviation Communication Teaching and Research Office,Naval Aviation University,Yantai 264001,China;2.Key Laboratory on Signal and Information Processing of Shandong Province,Yantai 264001,China |
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| Abstract: | The adaptive predistortion method can adjust the threshold value adaptively and only predistorts the large amplitude component of the modulated signal,effectively reducing the complexity of the predistortion algorithm.On how to further reduce the predistortion processing algorithm complexity,by introducing signal parallel processing thoughts and recursive least squares algorithm,a low complexity adaptive predistortion algorithm based on parallel two-box model is proposed.The recursive least squares algorithm with lower complexity is combined with the analytical signal expression of the modulated signal to predistort the real part and the imaginary part of the branch,thus effectively reducing the complexity of predistortion algorithm.Theoretical analysis and simulation results show that the algorithm complexity is reduced by about 93%and 27.62%,respectively,compared with the parallel two-box predistortion method and the adaptive predistortion method under the premise of ensuring the bit error rate performance of the system. |
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| Keywords: | prolate spheroidal wave function(PSWF) predistortion algorithm two-box model power amplifier |
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