Narrow-band indoor localization in cognitive radio networks using compressed sensing

This contribution deals with narrow-band target localization in cognitive radio networks. In particular the localization is of interest to narrow-band programme making and special event applications in indoor scenarios. The procedure to find the location is based on a compressed sensing approach, which allows the solution of underdetermined systems of linear equations. The algorithm uses the received signal strength, which was derived by ray tracing techniques applied to a 3D model of the fairground of Berlin. The accuracy of the proposed procedure is analytically studied through simulations.