J4 ›› 2012, Vol. 29 ›› Issue (5): 637-643.

• 光通信 • 上一篇    下一篇

长期演进上行随机接入接收端算法研究

许梦1,2, 延凤平1,2   

  1. 1北京交通大学全光网络与现代通信网教育部重点实验室,北京  100044; 
    2 北京交通大学光波技术研究所,北京 100044
  • 收稿日期:2011-09-27 修回日期:2011-10-19 出版日期:2012-09-28 发布日期:2012-09-02
  • 通讯作者: 延凤平 (1966-) 博士,教授,博导,主要从事光通信,全光网络新型特种光纤及光纤器件,光纤传感,无线通信等方面的研究。 E-mail:fpyan@bjtu.edu.cn
  • 作者简介:许梦 (1987-),女,硕士研究生。主要研究方向为光通信、无线通信。Email:09120178@bjtu.edu.cn
  • 基金资助:

    国家自然科学基金(60736003)

Research on uplink random access receiver algorithm in LTE

XU Meng1,2, YAN Feng-ping1,2   

  1. 1 Key Laboratory of All Optical Network & Advanced Telecommunication Network of EMC,Beijing Jiaotong University,Beijing 100044,China;
    2 Institute of Lightwave Technology,Beijing Jiaotong University,Beijing 100044, China
  • Received:2011-09-27 Revised:2011-10-19 Published:2012-09-28 Online:2012-09-02

摘要:

在LTE(长期演进)上行随机接入中,接收端对前导的检测是一个很重要的步骤。由于前导序列较长,传统的接收端算法运算量较大。为了减小接收端算法的运算量,引入降采样,对传统的接收端算法进行改进。改进后的接收端算法运算量大大减少。以格式0为例,在一个计算周期内,改进后的算法运算量是改进前运算量的1/120。MTLAB仿真结果表明,改进前后的接收端算法在检测性能上差别较小。在不同的信道环境下,经过改进后的算法仍然具有较好的检测性能。

关键词: 光通信, 随机接入接收端算法, 降采样, 前导检测, 虚警率, 漏检率

Abstract:

In LTE(Long Term Evolution) uplink random access, preamble detection is an important step. Because preamble sequence is long, the traditional receiver algorithms have a larger computation burden. In order to reduce the computation burden, downsampling was introduced. Several improvements were made to the traditional receiver algorithms. The computation burden of receiver algorithm after improvement decreases greatly in comparison with the algorithm before improvement. Take format 0 for example, the computation burden of algorithm before improvement is 120 times as much as the algorithm after improvement in an operation cycle. Simulation results show that the detection performance of algorithm after improvement and before improvement almost don’t make any difference. The algorithm after improvement shows good performance in various wireless channels.

Key words: optical communication, receiver algorithm in random access, downsampling, preamble detection, false alarm probability, miss error probability

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