Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
P.J. Chung, D. Maiwald, N. Czink, C. Mecklenbräuker, B. Fleury:
"Determining the number of propagation paths from broadband MIMO measurements via bootstrapped likelihoods and the false discovery rate criterion - Part I: Methodology";
Vortrag: IEEE Workshop on Computational Advances in Mulitple Sensor Adaptive Processing,
St. Thomas, U.S. Virgin Islands, USA;
12.12.2007
- 14.12.2007; in: "Proc. IEEE 2nd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2007)",
IEEE,
Piscataway, USA
(2007),
Paper-Nr. 1569063763,
4 S.
Kurzfassung englisch:
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.
Schlagworte:
MIMO channel characterization, model order selection, Benjamini-Hochberg