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Array Signal Processing for Localization and Communication Mos KAVEH University of Minnesota, Department of Electrical and Computer Engineering Minneapolis, USA Abstract: Sensor arrays have been used in a variety of sensing and communications applications. The spatial dimension can be utilized for user separation and improved reception through the placement of multiple antenna elements at the receiver and/or the transmitter and appropriate signaling when possible. Further, the ubiquity of wireless transmitters has provided the opportunity for location-based services, mobile localization in emergencies, and localization of unwanted or illegal transmitters. This presentation provides an overview of basic techniques for processing multi-element signals for localization and for processing to effect interference reduction or for increased diversity. A number of techniques are reviewed for direction finding, including some recent results in the use of sparse models for such purpose. The challenge of wireless localization in urban environments is considered and ideas that exploit the complexity of the propagation channel for localization are presented. 123

[IEEE 2013 International Conference on Systems, Signals and Image Processing (IWSSIP) - Bucharest, Romania (2013.07.7-2013.07.9)] 2013 20th International Conference on Systems, Signals

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Array Signal Processing for Localization and Communication

Mos KAVEH University of Minnesota, Department of Electrical and Computer Engineering

Minneapolis, USA

Abstract: Sensor arrays have been used in a variety of sensing and communications applications. The spatial dimension can be utilized for user separation and improved reception through the placement of multiple antenna elements at the receiver and/or the transmitter and appropriate signaling when possible. Further, the ubiquity of wireless transmitters has provided the opportunity for location-based services, mobile localization in emergencies, and localization of unwanted or illegal transmitters. This presentation provides an overview of basic techniques for processing multi-element signals for localization and for processing to effect interference reduction or for increased diversity. A number of techniques are reviewed for direction finding, including some recent results in the use of sparse models for such purpose. The challenge of wireless localization in urban environments is considered and ideas that exploit the complexity of the propagation channel for localization are presented.

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