Several statistics-based detectors, based on unimodal matrix models, for determining the number of sources in a field are designed. A new variance ratio statistic is proposed, and its asymptotic distribution is analyzed. The variance ratio detector is shown to outperform the alternatives. It is shown that further improvements are achievable via optimally selected rotations. Numerical experiments demonstrate the performance gains of our detection methods over the baseline approach.
翻译:根据单一模式矩阵模型,设计了若干基于统计的探测器,用于确定外地的源数;提出了新的差异率统计,并分析了其无症状分布;差异率检测显示,差异率检测器的性能优于替代物;显示通过最佳选择的轮换可以实现进一步的改进;数字实验表明,我们的检测方法比基线方法取得了绩效收益。