多中继协同通信系统中基于循环正交训练序列的信道估计算法.pdfVIP

第33 卷第8 期 通 信 学 报 Vol.33 No. 8 20 12 年8 月 Journal on Communications August 20 12 多中继协同通信系统中基于循环正交训练序列的信道估计算法 1,2 1,2 1,2 张志鹏 ，钟杰 ，赵民建 （1. 浙江大学 信息与电子工程学系，浙江 杭州 310027；2.浙江省综合信息网技术重点实验室，浙江 杭州 310027 ） 摘 要：提出了一种实用的基于循环正交序列的信道估计算法。源节点发送循环正交的信道训练序列，各个中继 节点对接收到的信道训练序列进行不同间隔的循环移位后向目的节点转发。尽管各个中继转发的序列在时间上是 叠加的，但序列之间不存在相关性。由此可以推导出相应的最小二乘信道估计和线性最小均方误差信道估计。仿 真结果证明该算法具有较高的估计精度和效率，同时运算复杂度较低。 关键词：深空通信；中继协同系统；信道估计；循环正交序列 中图分类号：TN925 文献标识码：A 文章编号：1000-436X(2012)08-0062-07 Channel estimation based on cyclic orthogonal training sequence for relay-assisted cooperative system ZHANG Zhi-peng1,2, ZHONG Jie1,2, ZHAO Min-jian 1,2 (1. Department of Information and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; 2. Zhejiang Provincial Key Laboratory of Information Network Technology, Hangzhou 310027, China) Abstract: A practical channel estimation algorithm based on cyclic orthogonal training sequence for relay-assisted coop- erative system was presented. According to this algorithm, the source node transmitted a cyclic orthogonal training se- quence, and the relay nodes circularly shifted the received training sequences before retransmitted them. Although the re- lays retransmitted the training sequences to the destination node simultaneously, the correlation among them was fully eliminated. The corresponding least square (LS) and linear minimum mean square (LMMSE) channel estimators were derived. Simulation results confirm that the proposed algorithm has high accuracy, high efficiency and low complexity. Key words: deep space