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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Unscented transform based low complexity performance assessment for adaptive linearly constrained minimum variance filters
 Czylwik, A.: 19th International Conference on OFDM and Frequency Domain Techniques, ICOF 2016. Proceedings : August 25th26th 2016, Essen, Germany Berlin: VDEVerlag, 2016 ISBN: 9783800742530 ISBN: 3800742535 pp.3944 
 International Conference on OFDM and Frequency Domain Techniques (ICOF) <19, 2016, Essen> 

 English 
 Conference Paper 
 Fraunhofer IIS () 
 drahtloses Kommunikationssystem 
Abstract
Linearly Constrained Minimum Variance (LCMV) filters are applied in communication and RADAR systems. In order to evaluate the performance of these filters, Monte Carlo (MC) simulations are commonly employed despite their high computational complexity. This paper proposes a low complexity performance assessment based on the Unscented Transform (UT). With only 32 iterations, the performance evaluation curves of the UT based approach superpose the curves of a thousand MC iterations. Since the computational complexity of one UT iteration is approximately the same as that of a MC iteration, the proposed solution drastically reduces the required time for performance evaluations.