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清华大学学报(自然科学版)  2014, Vol. 54 Issue (4): 449-452    
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针对DTMB-A系统的自适应峰均比降低算法
梁林峰1,王军1,宋健1,2()
2. 数字电视国家工程实验室(北京), 北京100191
Adaptive peak-to-average power ratio reduction algorithm for DTMB-A systems
Linfeng LIANG1,Jun WANG1,Jian SONG1,2()
1. Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
2. National Engineering Laboratory for Digital Television (Beijing), Beijing 100191, China
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摘要 

针对地面数字多媒体广播演进方案(DTMB-A)中由于采用了较大FFT长度而带来的高峰均比问题,提出一种基于动态星座图扩展的自适应峰均比降低算法。首先介绍了针对APSK调制方式的动态星座图扩展算法,明确了星座点可扩展区域的选择方式; 随后基于峰值抵消信号推导了动态星座图扩展算法的最优时域系数; 最后针对现有动态星座图扩展算法对初始限幅门限值敏感的问题,提出一种在迭代中自适应调整限幅门限值的方法。仿真结果表明: 所提算法的降峰均比性能优于现有动态星座图扩展算法,同时在初始限幅门限值设置不理想的情况下具有较好的鲁棒性。

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关键词 地面数字多媒体广播演进方案峰均比动态星座图扩展正交频分复用    
Abstract

This paper describes an adaptive peak-to-average power ratio (PAPR) reduction algorithm using the active constellation extension (ACE) for DTMB-A systems with large FFT lengths. The implementation of ACE algorithm for APSK constellation is introduced with the feasible extension region for the APSK constellation. An optimal time-domain factor for the ACE algorithm is then given based on the peak-cancellation signal. Since the original active constellation extension is sensitive to the initial clipping threshold, a method is given to adaptively adjust the clipping threshold. Simulations show that the algorithm has better performance than the original algorithms and is more robust to the initial clipping threshold.

Key wordsdigital terrestrial multimedia broadcast advanced (DTMB-A)    peak-to-average power ratio (PAPR)    active constellation extension (ACE)    orthogonal frequency division multiplexing (OFDM)
收稿日期: 2013-08-09      出版日期: 2014-04-15
基金资助:国家自然科学基金创新研究群体项目(61021001);国家 “八六三” 高技术项目(2012AA011704)
引用本文:   
梁林峰,王军,宋健. 针对DTMB-A系统的自适应峰均比降低算法[J]. 清华大学学报(自然科学版), 2014, 54(4): 449-452.
Linfeng LIANG,Jun WANG,Jian SONG. Adaptive peak-to-average power ratio reduction algorithm for DTMB-A systems. Journal of Tsinghua University(Science and Technology), 2014, 54(4): 449-452.
链接本文:  
http://jst.tsinghuajournals.com/CN/  或          http://jst.tsinghuajournals.com/CN/Y2014/V54/I4/449
  ACE算法的流程图
  16APSK经过ACE算法后的星座图
  PAPR的CCDF
算法 能量提升值/ dB
AS算法 0.70
SGP算法 0.74
本文算法 0.77
  3种算法的能量提升值对比
  3种算法分别经过3次迭代后的可达PAPR
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