系统工程与电子技术

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用于短波高速数据传输的迭代合并均衡算法

高梅1,黄国策1,杜栓义2,马卓2   

  1. 1. 空军工程大学信息与导航学院, 陕西 西安 710077;
    2. 西安电子科技大学综合业务网理论及关键技术国家重点实验室, 陕西 西安 710071
  • 出版日期:2013-09-17 发布日期:2010-01-03

Iterative combining equalization algorithm for high data rate HF transmission

GAO Mei1, HUANG Guo-ce1, DU Shuan-yi2, MA Zhuo2   

  1. 1. School of Information and Navigation, Air Force Engineering University, Xi’an 710077, China; 
    2. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an 710071, China
  • Online:2013-09-17 Published:2010-01-03

摘要:

在短波高速数据传输系统中,为了消除电离层反射信道所产生的符号间干扰和快速时变深衰落,依据最小均方误差准则提出一种迭代合并均衡器及其算法。所提算法对空间分集合并和均衡进行联合优化,并与译码器交换软信息进行迭代,从而充分利用时域和空域信息。为降低迭代引入的运算量,进一步提出一种基于自适应选择机制的低复杂度算法。仿真结果表明,所提算法能够明显改善短波数据传输系统的接收性能,而低复杂度算法则在保证算法性能的前提下使运算量得到有效控制。

Abstract:

To eliminate the intersymbol interference and fast time varying deep fading of ionosphere channel in high data rate high frequency (HF) transmission systems, a novel iterative combiningequalization algorithm based on minimum mean square error criterion is proposed. The proposed algorithm exchanges log likelihood ratio values through iterative process between soft input soft output (SISO) decoder and SISO combiningequalizer, which realizes the joint optimization of spatial diversity combining and Turbo equalization, and makes full use of both time and frequency domain information. In addition, considering the huge computational burden brought by iterative process, a simplified method with low performance loss is given. Simulation results show that the proposed algorithm can reduce the receiver bit error rate effectively and the lowcomplexity algorithm can achieve an excellent tradeoff between complexity and performance.