Journal of Computer Applications ›› 2017, Vol. 37 ›› Issue (7): 1877-1882.DOI: 10.11772/j.issn.1001-9081.2017.07.1877

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Frequency offset estimation algorithm of time domain synchronous orthogonal frequency division multiplexing based on correlations of cyclic pseudo-random noise

LI Yangguang1, BAO Jianrong1,2, JIANG Bin1, LIU Chao1   

  1. 1. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China;
    2. National Mobile Communication Research Laboratory, Southeast University, Nanjing Jiangsu 210096, China
  • Received:2017-01-16 Revised:2017-03-02 Online:2017-07-10 Published:2017-07-18
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61471152), the Natural Science Foundation of Zhejiang (LZ14F010003), the Commonweal Technology Application Research Program of Zhejiang (2015C31103), Graduate Research Innovation Foundation of Hangzhou Dianzi University (CXJJ2016032).


李阳光1, 包建荣1,2, 姜斌1, 刘超1   

  1. 1. 杭州电子科技大学 通信工程学院, 杭州 310018;
    2. 东南大学 移动通信国家重点实验室, 南京 210096
  • 通讯作者: 包建荣
  • 作者简介:李阳光(1992-),男,河南驻马店人,硕士研究生,主要研究方向:通信信号处理;包建荣(1978-),男,浙江杭州人,副教授,博士,主要研究方向:通信信号处理、自主无线电;姜斌(1980-),男,浙江衢州人,副教授,硕士研究生,主要研究方向:协同信息论与编码;刘超(1977-),男,湖北武汉人,副教授,博士,主要研究方向:无线通信,计算机通信网。
  • 基金资助:

Abstract: Concerning the high complexity of the traditional frequency estimation algorithm, a new frequency offset estimation algorithm of Time Domain Synchronous Orthogonal Frequency Division Multiplexing (TDS-OFDM) with low complexity for power line communication was proposed. Firstly, the characteristics of power line network were analyzed, and a frame head was constructed with three equal-length cyclic Pseudo-random Noise (PN) sequences. Secondly, the frame head and body were based on Binary Phase Shift Keying (BPSK) and Quadrature Amplitude Modulation (QAM) modes. Finally, compared with the traditional algorithms based on Cyclic Prefix (CP) or general PN, only the lengths of part of PN were calculated, so the number of autocorrelations was reduced, and better performance could be guaranteed. The simulation results show that, at Bit Error Rate (BER) of 10-4, the improved algorithm has about 5 dB and 1 dB gains while comparing with the algorithms based on CP and general PN, respectively. And compared with algorithm with general PN, when the lengths of inserted sequence and cyclic sequence were 420 and 165, the number of correlations per frame was reduced by 1186. The theoretical analysis and simulation results show that proposed algorithm can effectively reduce the computational complexity and cost of process, meanwhile improves the communication rate.

Key words: Time Domain Synchronous Orthogonal Frequency Division Multiplexing (TDS-OFDM), cyclic Pseudo-random Noise (PN) sequence, autocorrelation, frequency offset estimation

摘要: 针对电力线通信中,传统频偏估计复杂度较高问题,提出了低复杂度时域同步正交频分复用(TDS-OFDM)频偏估计算法。首先,对电力线网络特性进行解析,采用三段等长循环伪随机噪声序列(PN)构造帧头填充保护间隔;其次,帧头与帧体分别基于二进制相移键控(BPSK)和正交振幅调制(QAM);最后,与传统基于循环前缀(CP)与一般PN频偏估计算法相比,改进算法只需对一段循环PN长度作相关,减少自相关运算次数,且可达到较好频偏估计性能。仿真表明:误码率(BER)为10-4时,改进算法较传统基于CP及一般PN算法约有5 dB和1 dB的增益。当插入总序列及循环序列长度分别为420与165时,改进算法每帧相关运算次数减少1186次。由理论分析及仿真结果可知,所提算法有效降低计算复杂度,减少传输过程实现成本,提高通信速率。

关键词: 时域同步正交频分复用, 循环伪随机噪声序列, 自相关, 频偏估计

CLC Number: