Ferreira Junior, Ronaldo SebastiaoRonaldo SebastiaoFerreira JuniorCarvalho Lustosa da Costa, Joao PauloJoao PauloCarvalho Lustosa da CostaZelenovsky, RicardoRicardoZelenovskyMenezes, Leonardo R.A.X. deLeonardo R.A.X. deMenezesValle de Lima, DanielDanielValle de LimaGaldo, Giovanni delGiovanni delGaldo2022-03-132022-03-132016https://publica.fraunhofer.de/handle/publica/395063Linearly 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.endrahtloses Kommunikationssystem621006conference paper