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Locally Most Powerful Invariant Tests for the Properness of Quaternion Gaussian Vectors

机译:四元数高斯向量的性质的局部最强大不变检验

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摘要

Previous works have addressed the second-order statistical characterization of quaternion random vectors, introducing different properness definitions, and presenting the generalized likelihood ratio tests (GLRTs) for determining the kind of quaternion properness. This paper considers the more challenging problem of deriving the locally most powerful invariant tests (LMPITs), which can be obtained, even without an explicit expression for the maximal invariants, thanks to the Wijsman's theorem. Specifically, we consider three binary hypothesis testing problems involving the two main kinds of quaternion properness, and show that the LMPIT statistics are given by the Frobenius norm of three previously defined sample coherence matrices. The proposed detectors exhibit interesting connections with the problem of testing for the properness of a complex vector, and with the problems of testing for the sphericity of a four-dimensional real (or two-dimensional complex proper) vector. Additionally, some numerical examples show that in general, the proposed LMPITs outperform their GLRT counterparts, and in some cases the performance gap is very noticeable.
机译:先前的工作解决了四元数随机矢量的二阶统计特征,引入了不同的正确性定义,并提出了用于确定四元数正确性类型的广义似然比检验(GLRT)。本文考虑了派生局部最强大的不变性检验(LMPIT)的更具挑战性的问题,由于Wijsman定理,即使没有对最大不变性的明确表达,也可以得到该检验。具体来说,我们考虑了涉及两种主要四元数性质的三个二元假设检验问题,并表明LMPIT统计量由三个先前定义的样本相干矩阵的Frobenius范数给出。所提出的检测器与测试复数向量的正确性的问题以及测试四维实(或二维复数固有的)矢量的球形性的问题表现出有趣的联系。此外,一些数字示例表明,总体而言,建议的LMPIT优于其GLRT,并且在某些情况下性能差距非常明显。

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