Mixed-Order MUSIC Algorithm for Localization of Far-Field and Near-Field Sources
- 6 February 2013
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Letters
- Vol. 20 (4), 311-314
- https://doi.org/10.1109/lsp.2013.2245503
Abstract
This letter presents a new mixed-order MUSIC algorithm for far-field and near-field sources localization using a sparse symmetric array. By exploiting the special array geometry, the proposed algorithm constructs a cumulant matrix to estimate the directions of arrival (DOAs) of both far-field and near-field sources using the conventional MUSIC method. With the estimated DOAs and the covariance matrix of the sparse array, the far-field and near-field sources are identified and the range parameters of near-field sources are also obtained by defining the range spectrum. Compared with the traditional algorithms, the proposed algorithm has moderate computation complexity, and provides higher resolution, and also improves the parameters estimation accuracy. Simulation results are provided to demonstrate the performance improvement of the proposed method.This publication has 11 references indexed in Scilit:
- Efficient Application of MUSIC Algorithm Under the Coexistence of Far-Field and Near-Field SourcesIEEE Transactions on Signal Processing, 2011
- Joint DOA, Range, and Polarization Estimation in the Fresnel RegionIEEE Transactions on Aerospace and Electronic Systems, 2011
- Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of FreedomIEEE Transactions on Signal Processing, 2010
- Passive Localization of Mixed Near-Field and Far-Field Sources Using Two-stage MUSIC AlgorithmIEEE Transactions on Signal Processing, 2009
- Near-Field Source Localization via Symmetric SubarraysIEEE Signal Processing Letters, 2007
- Near-field/far-field azimuth and elevation angle estimation using a single vector hydrophoneIEEE Transactions on Signal Processing, 2001
- Performance analysis of higher order ESPRIT for localization of near-field sourcesIEEE Transactions on Signal Processing, 1998
- Uni-vector-sensor ESPRIT for multisource azimuth, elevation, and polarization estimationIEEE Transactions on Antennas and Propagation, 1997
- Near-field multiple source localization by passive sensor arrayIEEE Transactions on Antennas and Propagation, 1991
- ESPRIT-estimation of signal parameters via rotational invariance techniquesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989