| 摘要: |
| 峰均比（PAR）过高是正交频分复用（OFDM）技术亟待解决的关键问题之一。在基
于判决指导信道估计的叠加训练序列OFDM系统中，提出一种选择性叠加训练序列降低系统PA
R的方法。该方法使用多个相互独立的训练序列分别与数据序列叠加，选择其中PAR性能最好
的用于传输，接收端完成信道估计的同时消除了训练序列对数据序列的影响，因此没有增加
接收端的复杂度。计算机仿真结果表明：该
方法在不增加接收端复杂度的前提下，有效降低了系统PAR，且对信道估计性能不造成任
何影响,因此该方法可用于实际系统中。 |
| 关键词: 正交频分复用 峰均比 叠加训练序列 信道估计 |
| DOI： |
|
| 基金项目:国家自然科学基金资助项目（60702020）；河南省科技项目（082102210
013） |
|
| A PAR Reduction Method Based on Selective Superimposed Training Sequence for OFDM Systems |
| LIU Qiu-ge,MU Xiao-min,LU Yan-hui |
| (School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China) |
| Abstract: |
| The over high value of PAR（Peak-to-Average Ratio） is one of the key problems t
o be solved in
the field of OFDM. A PAR reduction method based on selective superimposed traini
ng sequence is proposed in the situation of using the decision directed channel
estimation algorithm in the OFDM systems with superimposed training sequence. It
makes some independent training sequences superimposed on the data sequence and
selects one with the best PAR performance for transmission. As the achievement
o
f the receiver channel estimation can eliminate the influence of the training se
qu
ence on data sequence, it doesn′t increase the complexity of the receiver. Comp
uter simulation results show the method effectively reduces the system PAR and
makes no influence on the performance of channel estimation without any increase
of receiver complexity. Therefore, this method can be used in practical systems
. |
| Key words: OFDM PAR superimposed training sequence channel estimation |
《电讯技术》编辑部 