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Multi-rank adaptive beamforming
Colorado State University, Fort Collins.
Colorado State University, Fort Collins.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2005 (English)In: 2005 IEEE/SP 13th Workshop on Statistical Signal Processing: Bordeaux, France, 17 - 20 July 2005, Piscataway, NJ: IEEE Communications Society, 2005, 307-312 p.Conference paper (Refereed)
Abstract [en]

This paper presents a multi-rank generalization of the Capon beamformer to accommodate model mismatch in situations where the unknown signal of interest lies in a multidimensional subspace. By expanding the beamforming subspace robustness (or diversity) is achieved at the expense of resolution. The generalization involves solving a quadratically-constrained quadratic minimization problem, and designing a constraint matrix. Three strategies for designing this constraint matrix are discussed. Simulation examples are presented to demonstrate the performance of the multi-rank Capon beamformer.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2005. 307-312 p.
Research subject
Signal Processing
URN: urn:nbn:se:ltu:diva-32841Local ID: 7742d620-959b-11db-8975-000ea68e967bISBN: 0-7803-9404-6OAI: diva2:1006075
IEEE/SP Workshop on Statistical Signal Processing : 17/07/2005 - 20/07/2005
Godkänd; 2005; 20061227 (ysko)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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