Optimal quiescent vectors for wideband ML beamforming in multipath fields

Authors:
Elio D. Di Claudio
Affiliations:
INFOCOM Department, University of Rome "La Sapienza", Via Eudossiana, 18, I-00184 Rome, Italy
Venue:
Signal Processing - Content-based image and video retrieval
Year:
2005

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Abstract

In this work, the behavior of the recently developed wideband maximum likelihood steered beamformer (ML-STBF) is analyzed under multipath conditions. In particular, the importance of an optimal choice of the quiescent vector to initialize the ML-STBF is pointed out.Some quiescent vectors, optimized on the basis of the previous analysis, are developed for the joint use with the ML-STBF and compared in simulation. It is shown that their use can significantly improve the output signal-to-noise ratio, the multipath suppression capability and the robustness with respect to focusing errors of the ML-STBF.