计算机应用 ›› 2013, Vol. 33 ›› Issue (05): 1225-1229.DOI: 10.3724/SP.J.1087.2013.01225

• 网络与通信 • 上一篇    下一篇

协作多小区正交频分复用系统联合信道估计扩展算法

陈亦鲜1,王渊2   

  1. 1. 西南民族大学 电气信息工程学院,成都 610041
    2. 通信抗干扰技术国家级重点实验室(电子科技大学),成都 611731
  • 收稿日期:2012-12-03 修回日期:2013-01-18 出版日期:2013-05-01 发布日期:2013-05-08
  • 通讯作者: 陈亦鲜
  • 作者简介:陈亦鲜(1976-),男,四川乐山人,实验师,硕士,主要研究方向:无线通信网络、计算机网络;王渊(1977-),男,甘肃天水人,博士研究生,主要研究方向:无线通信系统同步技术。
  • 基金资助:

    西南民族大学中央高校基本科研业务费专项资金资助项目(10NZYZJ08)

Extended joint channel estimation in cooperative multi-cell OFDM systems

CHEN Yixian1,WANG Yuan2   

  1. 1. College of Electrical and Information Engineering, Southwest University for Nationalities, Chengdu Sichuan 610041, China
    2. National Key Laboratory of Science and Technology on Communications (University of Electronic Science and Technology of China),Chengdu Sichuan 611731, China
  • Received:2012-12-03 Revised:2013-01-18 Online:2013-05-08 Published:2013-05-01
  • Contact: CHEN Yixian

摘要: 多小区联合信道估计(MC-JCE)是多小区协作联合处理技术实用化的基础,然而现有MC-JCE算法需满足各小区信道功率延迟谱(PDP)相同且已知的条件。针对这一不足基于协作多小区正交频分复(OFDM)系统框架首先探讨在多小区信道PDP存在差异但已知条件下多小区联合信道估计的扩展算法(MC-eJCE),进而提出未知该信息条件下多小区联合信道估计的修正算法(MC-mJCE),同时为降低算法运算复杂度并获得信道估计最小的均方误差(MSE)。采用梳状导频最优导频设计,推导了以上MC-JCE算法的克拉美罗界(CRB)。仿真显示在多小区信道PDP存在差异条件下所提MC-eJCE和MC-mJCE算法都具有良好MSE性能,而基于以上算法信道估计的空频块码(SFBC)协作联合传输也具有良好误码率(BER)性能。

关键词: 协作多小区, 联合信道估计, 扩展算法, Cramer-Rao界

Abstract: Multi-Cell Joint Channel Estimation (MC-JCE) is the practical basis of community collaboration and joint processing technology; however, the MC-JCE needs Power Delay Profile (PDP) knowledge of all channels remains the same and gets known. To solve this problem, based on the cooperative community Orthogonal Frequency Division Multiplexing (OFDM) system framework, this article first explored in the extended multi-cell joint channel estimation (MC-eJCE) algorithm of multi-cell channel PDP differences but known conditions, and then put forward modified multi-cell joint channel estimation (MC-mJCE) algorithm under the condition of this information unknown, at the same time to reduce the computational complexity of algorithm and get minimum Mean Square Error (MSE) of channel estimation. This article used optimal pilot set design of comb pilot to finally derive Cramer-Rao bound of MC-JCE algorithm. The simulation shows the MC-eJCE and MC-mJCE algorithms have good performance of MSE under the conditions of multi-cell channel PDP differences, and Space-Frequency Block Code (SFBC) encoding for joint transmission also has a good performance of Bit Errer Rate (BER) based on the above algorithm for channel estimation.

Key words: cooperative multi-cell, joint channel estimation, extensive algorithm, Cramer-Rao bound

中图分类号: