From 8a204230a0881420a9268a592ee0ed0c0e539ad6 Mon Sep 17 00:00:00 2001 From: Josh Gao Date: Tue, 16 Jun 2026 10:29:19 +0800 Subject: [PATCH] =?UTF-8?q?fix(sec1):=20=E9=9B=86=E4=B8=AD=E4=BC=BC?= =?UTF-8?q?=E7=84=B6=E5=87=86=E5=88=99=E5=8E=BB=E7=AC=AC=E4=B8=80=E4=BA=BA?= =?UTF-8?q?=E7=A7=B0=EF=BC=8C=E7=BB=9F=E4=B8=80=E6=95=99=E6=9D=90=E4=BD=93?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- parts/sec1_singleArrayDoa.tex | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/parts/sec1_singleArrayDoa.tex b/parts/sec1_singleArrayDoa.tex index f0b9944..06580fd 100644 --- a/parts/sec1_singleArrayDoa.tex +++ b/parts/sec1_singleArrayDoa.tex @@ -134,7 +134,7 @@ $M$ 元阵列在第 $t$ 个快拍的接收向量记为 \subsection{集中似然与投影残差准则} -我们关心的是 $\bm\Theta$,因此把信源快拍 $\{\mathbf x_t\}$ 与噪声方差 $\sigma$ 视为干扰参数集中消去。对固定的 $\bm\Theta$,逐一最小化得到的闭式解为 +这里关心的是 $\bm\Theta$,因此把信源快拍 $\{\mathbf x_t\}$ 与噪声方差 $\sigma$ 视为干扰参数集中消去。对固定的 $\bm\Theta$,逐一最小化得到的闭式解为 \begin{equation} \widehat{\mathbf x}_t(\bm\Theta) =