We discuss the combining of measurements where single measurement covariances are given but the joint measurement covariance is unknown. For this paper we assume the mapping of a single measurement to the solution space is the identity matrix. We examine the solution when it is assumed all measurements are uncorrelated. We then present a way to parameter joint measurement covariance based on pairwise correlation coefficients. Finally, we discuss how to use this parameterization to combine the measurements.

翻译：我们讨论在单一测量共变点给出单一测量共变点但共同测量共变点未知的地方将测量方法结合起来。 对于本文,我们假设将单一测量方法绘制到解决方案空格空间是身份矩阵。当假设所有测量方法不相干时,我们研究解决方案。然后我们提出一种方法,根据对等相关系数来参数联合测量共变点。最后,我们讨论如何使用这一参数来将测量方法结合起来。