Determining the number of propagation paths from broadband mimo measurements via bootstrapped likelihoods and the false discovery rate criterion – part i: methodology
Pei-Jung Chung, D. Maiwald, Nicolai Czink, Christoph F. Mecklenbräuker, Bernard H. Fleury · 2007
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.