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arXiv math/0603170math.PR
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两个相关矩形高斯矩阵的联合奇异值分布及其应用

Joint Singular Value Distribution of Two Correlated Rectangular Gaussian Matrices and Its Application

Shuangquan Wang, Ali Abdi

摘要:

令$\mathbf{H}=(h_{ij})$和$\mathbf{G}=(g_{ij})$是两个$m\times n$、$m\leq n$随机矩阵,每个随机矩阵具有独立同分布的复数零均值单位方差高斯项,任意两个元素之间的相关性由$\mathbb{E}[h_{ij}g_{pq}^\star]=ρδ_{ip}δ_{jq}$给出,使得$|ρ|<1$,其中${}^\star$表示复共轭,$δ_{ij}$是克罗内克δ。假设$\{s_k\}_{k=1}^m$和$\{r_l\}_{l=1}^m$分别是$\mathbf{H}$和$\mathbf{G}$的无序奇异值,并且$s$和$r$分别从$\{s_k\}_{k=1}^m$和$\{r_l\}_{l=1}^m$中随机选择。本文利用Itzykson-Zuber型积分导出了$\{s_k\}_{k=1}^m$和$\{r_l\}_{l=1}^m$的联合概率分布函数(PDF)的精确解析闭式表达式,并利用双正交多项式技术导出了$s$和$r$的联合边际PDF。这些PDF在多输入多输出(MIMO)无线通信信道和系统中是有意义的。

英文摘要:

Let $\mathbf{H}=(h_{ij})$ and $\mathbf{G}=(g_{ij})$ be two $m\times n$, $m\leq n$, random matrices, each with i.i.d complex zero-mean unit-variance Gaussian entries, with correlation between any two elements given by $\mathbb{E}[h_{ij}g_{pq}^\star]=ρδ_{ip}δ_{jq}$ such that $|ρ|<1$, where ${}^\star$ denotes the complex conjugate and $δ_{ij}$ is the Kronecker delta. Assume $\{s_k\}_{k=1}^m$ and $\{r_l\}_{l=1}^m$ are unordered singular values of $\mathbf{H}$ and $\mathbf{G}$, respectively, and $s$ and $r$ are randomly selected from $\{s_k\}_{k=1}^m$ and $\{r_l\}_{l=1}^m$, respectively. In this paper, exact analytical closed-form expressions are derived for the joint probability distribution function (PDF) of $\{s_k\}_{k=1}^m$ and $\{r_l\}_{l=1}^m$ using an Itzykson-Zuber-type integral, as well as the joint marginal PDF of $s$ and $r$, by a bi-orthogonal polynomial technique. These PDFs are of interest in multiple-input multiple-output (MIMO) wireless communication channels and systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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