Primary user localization in cognitive radio networks using sectorized antennas
作者： Janis Werner , Jun Wang , Aki Hakkarainen , Mikko Valkama , Danijela Cabric
DOI: 10.1109/WONS.2013.6578341
关键词:
摘要: Information about primary user (PU) location can enable several key capabilities in cognitive radio (CR) networks. In this paper we consider PU localization using received-signal-strength (RSS) and direction-of-arrival (DoA) estimates from sectorized antenna. Abstracting practical antenna types, define a as an that be set to different operating modes, each of which resulting selectivity those signals arrive within certain, continuous range angles, i.e. sector. We propose low complexity algorithm, the MaxE provides coarse RSS DoA estimates, derive asymptotic bounds for its root mean square error (RMSE) function parameters. then modified Stansfield algorithm with novel RSS-based weighting scheme based on fusion method, obtains measurements algorithm. The improves accuracy equal weights. Simulation results studying impact various system parameters, such number sectors, samples signal-to-noise ratio, DoA/RSS estimation are presented provide design guidelines systems antennas.
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