通过自举似然和错误发现率标准确定宽带Mimo测量的传播路径数-第一部分:方法

Pei-Jung Chung, D. Maiwald, N. Czink, C. Mecklenbrauker, B. Fleury
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引用次数: 1

摘要

在本文中,我们提出了一个多假设检验来确定宽带MIMO信道测量的传播路径数。对于该测试,需要对传播延迟、到达方向、离开方向和多普勒频移的每个潜在数量进行最大似然(ML)估计。ml估计器是通过空间交替广义期望最大化(SAGE)算法的一种变体来实现的。所提出的测试是基于Benjamini- Hochberg过程来保证错误发现率,并采用简单的自举方法来近似多重测试所需的p值。在另一篇论文中,我们将所提出的测试应用于实际宽带MIMO天线阵列的测量,并讨论了其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining the Number of Propagation Paths from Broadband Mimo Measurements via Bootstrapped Likelihoods and the False Discovery Rate Criterion - Part I: Methodology
In this paper, we propose a multiple hypotheses test for determining the number of propagation paths from broadband MIMO channel measurements. For this test, maximum-likelihood (ML) estimates for propagation delay, direction of arrival, direction of departure, and Doppler shifts are required for each potential number of propagation paths. The ML-estimator is implemented via a variant of the space alternating generalized expectation-maximization (SAGE) algorithm. The proposed test is based on the Benjamini- Hochberg procedure for guaranteeing a false discovery rate and employs the simple bootstrap approach for approximating the required p-values for the multiple test. In a companion paper, we apply the proposed test to real broadband MIMO antenna array measurements and discuss its performance.
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