A PAR Reduction Method Based on Selective Superimposed Training Sequence for OFDM Systems
Yanhui Lu · Telecommunication Engineering · 2011
The over high value of PAR(Peak-to-Average Ratio) is one of the key problems to be solved in the field of OFDM.A PAR reduction method based on selective superimposed training 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 of the receiver channel estimation can eliminate the influence of the training sequence on data sequence,it doesn′t increase the complexity of the receiver.Computer 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.