计算机应用 ›› 2012, Vol. 32 ›› Issue (03): 777-779.DOI: 10.3724/SP.J.1087.2012.00777

• 网络与通信 • 上一篇    下一篇

长期演进系统中一种低复杂度球形译码算法

李小文,彭德义,谭兵,王振宇   

  1. 重庆邮电大学 移动通信技术重点实验室,重庆400065
  • 收稿日期:2011-08-29 修回日期:2011-11-13 发布日期:2012-03-01 出版日期:2012-03-01
  • 通讯作者: 彭德义
  • 作者简介:李小文(1955-),男,重庆人,教授,主要研究方向:TD-SCDMA系统、TD-LTE系统;彭德义(1987-),男,湖南湘潭人,硕士研究生,主要研究方向:TD-LTE系统物理层算法、DSP软件;谭兵(1987-),男,重庆人,硕士研究生,主要研究方向:TD-LTE系统物理层算法、FPGA硬件;王振宇(1987-),男,山东菏泽人,硕士研究生,主要研究方向:TD-LTE系统物理层算法、DSP软件。
  • 基金资助:

    国家科技重大专项(2009ZX3002-009)。

Low complexity sphere decoding algorithm in LTE system

LI Xiao-wen, PENG De-yi, TAN Bing, WANG Zhen-yu   

  1. Key Laborary of Mobile Communication of Chongqing, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2011-08-29 Revised:2011-11-13 Online:2012-03-01 Published:2012-03-01
  • Contact: De-Yi

摘要: 在长期演进(LTE)系统中,球形译码算法拥有接近于最大似然(ML)的误码率(BER)性能。针对在16QAM和64QAM等高阶调制情况下球形译码算法计算复杂度和所需硬件资源的急剧增加,提出了一种调整符号搜索策略的改进型球形译码算法。该算法在不同的检测层采用特定的符号搜索方案,并结合一种基于信噪比的动态调整半径方法。在无线瑞利信道环境下,对各种球形译码算法进行了仿真。仿真结果表明,提出的改进型算法基本保持传统球形译码算法较低的BER性能,同时还有效地降低了计算复杂度和硬件实现复杂度。

关键词: 长期演进, 球形译码, 高阶调制, 误码率, 计算复杂度

Abstract: The sphere decoding algorithm has the optimal Bit Error Ratio (BER) performance that approximates to Maxmun Liklihood (ML) in Long Term Evolution (LTE) system. Concerning the computational complexity and required hardware resources of this algorithm increase significantly for detection of 16-QAM and 64-QAM modulated signal streams, an improved sphere decoding algorithm, which changed symbol search strategy, was proposed. A given symbol search scheme at different detection layer, and combined with a new definition for sphere radius of dynamic modifications was adopted in this algorithm. Both of the traditional and improved algorithms were simulated on the condition of Rayleigh fading channel. The simulation results show that the improved algorithm has a small BER degradation, and it also effectively reduces both computational complexity and required hardware resources compared to the traditional sphere decoding algorithm.

Key words: Long Term Evolution (LTE), sphere decoding, high-level modulation, Bit Error Rate (BER), computational complexity

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