A Cooperative DoA-based Algorithm for Localization of Multiple Primary-Users in Cognitive Radio Networks

Jun Wang,Danijela Cabric

2012 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)（2012）

Univ Calif Los Angeles

被引用12|浏览2

摘要

Knowledge about the location of licensed primary users (PU) could enable several key features in cognitive radio (CR) networks including improved spatio-temporal sensing, intelligent location-aware routing, as well as aiding spectrum policy enforcement. In this paper we discuss the problem of localizing multiple PUs based on direction-of-arrival (DoA) measurements. The key problem in such scenario is the difficulty and complexity of associating multiple DoA measurements to different PUs. We propose an iterative method that uses the probability of associating each DoA to a PU as the weighting coefficient of a modified Stansfield algorithm for DoA fusion. Results show the proposed algorithm obtains better accuracy than previous algorithms [1]-[3], and its complexity increases linearly with the number of CRs, compared with the exponential rate for algorithms based on exhaustive search of all possible associations.

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关键词

cognitive radio,cooperative communication,direction-of-arrival estimation,iterative methods,probability,sensor fusion,spatiotemporal phenomena,telecommunication network routing,DoA fusion,Stansfield algorithm,cognitive radio network,cooperative DoA-based algorithm,direction of arrival measurement,intelligent location aware routing,iterative method,licensed primary user,multiple primary user localization,probability,spatiotemporal sensing,spectrum policy enforcement,weighting coefficient