论文标题
在时间约束的矢量高斯通道中进行两目标检测的传感方法
Sensing Method for Two-Target Detection in Time-Constrained Vector Gaussian Channel
论文作者
论文摘要
本文将固定身份协方差矩阵和二进制输入信号的矢量高斯通道视为其平均值。对向量输入信号进行线性转换。目的是在总时间限制下找到最佳缩放矩阵，即：i）最大化输入和输出随机向量之间的相互信息，ii）最大化地图检测。发现这两个指标为我们的实验设计问题带来了不同的最佳解决方案。我们已经使用蒙特卡洛方法进行计算工作。
This paper considers a vector Gaussian channel of fixed identity covariance matrix and binary input signalling as the mean of it. A linear transformation is performed on the vector input signal. The objective is to find the optimal scaling matrix, under the total time constraint, that would: i) maximize the mutual information between the input and output random vectors, ii) maximize the MAP detection. It was found that the two metrics lead to different optimal solutions for our experimental design problem. We have used the Monte Carlo method for our computational work.
