Array signal processing for localization and communication

Summary form only given. 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.