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G. Del Galdo, N. Czink, M. Haardt:
"Cluster Spatial Localization from High-Resolution Parameter Estimation";
Vortrag: ITG Workshop on Smart Antennas, Ulm , Germany; 13.03.2006; in: "Proceedings of ITG Workshop on Smart Antennas", (2006).

In this contribution we propose an algorithm to identify the spatial location of clusters from high resolution multi-dimensional parameter estimation results. The localization is important in both channel modelling as well as in giving a physical interpretation to the results of parameter estimation techniques, namely identifying which physical objects were involved in the propagation of the estimated paths. The validation of the algorithm is carried out with a synthetic data set obtained from the IlmProp, a geometry-based channel model. In order to simulate the effects of an estimator we perturb the parameters with Gaussian noise whose variance is set equal to the Cram´er-Rao Lower Bound (CRLB). The algorithm is capable of localizing clusters with the assumption that they are seen from different points of view and that they remain fixed during the measurement time.

http://aleph.ub.tuwien.ac.at/F?base=tuw01&func=find-c&ccl_term=AC06586031

http://publik.tuwien.ac.at/files/pub-et_11010.pdf