| 摘要: |
| 空时分组码(STBC)系统的经典信道盲估计方法,如子空间法(SS)等,都是基于接收端样本自相关矩阵的特征值分解(EVD)或奇异值分解(SVD)来实现信道估计的,而基于QR分解的信道盲估计方法是一种性能优良的新算法.文中将该算法应用到准正交空时分组码系统的信道估计中,结合准正交空时分组码的特性提出了一种新的信道盲估计算法.与以上经典的信道盲估计算法相比,文中提出的算法的计算量大为降低.同时Monte-Carlo仿真表明,当信噪比较低时,该算法比子空间法有更好的性能. |
| 关键词: 空时分组码 准正交 QR分解 盲信道估计 分集技术 |
| DOI：10.3969/j.issn.1001-893X. |
| 投稿时间：2006-06-27修订日期：2006-10-10 |
| 基金项目:湖南省自然科学基金
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湖南省信息产业厅科研基金 |
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| Blind Channel Estimation for Quasi-Orthogonal Space-time Block Codes |
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| () |
| Abstract: |
| Traditional blind estimation methods for space-time block code(STBC),such as subspace(SS) method,are based on the eigenvalue decomposition(EVD) or singular value decomposition(SVD) of the received signal's correlation matrix,while the QR factorization-based blind estimation algorithm is a new algorithm with good performance and without calculating the correlation matrix.In this paper,by combining the QR factorization-based algorithm with the special structure of quasi-orthogonal STBC(QOSTBC),a new blind estimation algorithm in QOSTBC is proposed.Compared with the traditional blind estimation methods,the algorithm has much lower computational costs.And the Monte-Carlo simulations show that when the SNR is slow,the algorithm is better than SS-based blind estimation algorithm. |
| Key words: space-time block code(STBC),quasi-orthogonal,QR factorization,blind channel estimation,diversity technology |
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