Data Fusion of wireless sensors is a common technique employed in many communication systems. This work focuses on incorporating the principles of non-orthogonal-multiple-access (NOMA) to optimize error performance directly in the choice of constellation design. More specifically, the problem of two sensor data fusion of a binary uniform source sent over a Gaussian multiple access channel via symmetric binary constellations is investigated. A so-called planar upper bound on the error probability is analytically derived. A constellation design is then obtained by establishing in closed form its rotation parameter that minimizes the upper bound. Simulation results show that the resulting constellations achieve a near identical performance as experimentally determined optimal constellations.

翻译：无线传感器的数据融合是许多通信系统中常用的技术。本工作聚焦于将非正交多址（NOMA）原理融入星座设计的选择中，以直接优化误码性能。具体而言，研究了通过对称二进制星座在加性高斯多址信道上进行两传感器二进制均匀源数据融合的问题。从解析角度推导了误码概率的所谓平面型上界。随后，通过以闭合形式确定该上界最小化的旋转参数，得到了相应的星座设计。仿真结果表明，所得星座的性能与实验确定的最优星座几乎相同。