Abstract:
This correspondence is concerned with source localization and classification for scenarios where both the far-field and near-field narrowband sources may coexist. We prop...Show MoreMetadata
Abstract:
This correspondence is concerned with source localization and classification for scenarios where both the far-field and near-field narrowband sources may coexist. We propose an efficient MUSIC-based solution that requires neither a multidimensional search nor high-order statistics (HOS). We also derive the stochastic Cramér-Rao bound (CRB) for the problem under consideration. The performance of the proposed method is compared with an existing method and with the CRB.
Published in: IEEE Transactions on Signal Processing ( Volume: 60, Issue: 4, April 2012)
Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada
Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada
Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada
Contents Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada
Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada
Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada
