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Structured Spatial Interference Rejection Combining
KTH, Superseded Departments, Signals, Sensors and Systems.
(Nokia Networks Radio Access Systems P.O. Box 1070 SE-164 25 Kista, Sweden)
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0003-2298-6774
2000 (English)In: Proceedings European Signal Processing Conference, 2000Conference paper, Published paper (Refereed)
Abstract [en]

Modern communication systems are often interferencelimited. By modeling the co-channel interference asspatially colored, temporally white Gaussian noise, itis straightforward to incorporate interference rejectionin the metric of a sequence estimator. In general, estimates of both the channels and the spatial color of theco-channel interference and the noise are needed. In thiswork, a structured model for the spatial noise covariancematrix is proposed and maximum likelihood estimates ofthe parameters are derived. The choice of model orderis also addressed. Simulation results show large gains due to the use of these structured estimates compared with the conventional, unstructured, approach.

Place, publisher, year, edition, pages
2000.
Keyword [en]
interference, communication systems, maximum likelihood estimate, white Gaussian noise
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-92536Scopus ID: 2-s2.0-84937057621OAI: oai:DiVA.org:kth-92536DiVA: diva2:513550
Conference
European Signal Processing Conference 2000
Note

NR 20140805

Available from: 2012-04-02 Created: 2012-04-02 Last updated: 2015-12-07Bibliographically approved

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Ottersten, Björn

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