Bayesian priors are investigated for detecting targets of known spectral signature (but unknown strength) in cluttered backgrounds. A specific problem is the construction (or ``sculpting'') of a Bayesian prior that uniformly outperforms its non-Bayesian counterpart, the nominally sub-optimal but widely used Generalized Likelihood Ratio Test (GLRT).

翻译：本文研究了用于在杂波背景中检测已知光谱特征（但强度未知）目标的贝叶斯先验。一个具体问题在于构建（或“塑造”）一种贝叶斯先验，使其在各方面均优于其非贝叶斯对应方法——即名义上次优但广泛使用的广义似然比检验（GLRT）。