Subspace-based method for joint range and DOA estimation of multiple near-field sources
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
4D near-field source localization using cumulant
EURASIP Journal on Applied Signal Processing
Digital Signal Processing
Passive localization of mixed near-field and far-field sources using two-stage MUSIC algorithm
IEEE Transactions on Signal Processing
Conditional and unconditional Cramér-Rao bounds for near-field source localization
IEEE Transactions on Signal Processing
Source localization in near-field using a moving array
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
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This paper proposes a low computational cost method for the near-field narrowband source localization problem, which does not require multidimensional search or high-order statistics. The proposed method is based on the second-order statistics (SOS) of the outputs of a uniform linear array (ULA). More precisely, the range and angle parameters are estimated through a weighted linear prediction (LP) algorithm applied to a properly chosen array output correlation sequence. Detailed performance analysis and derivation of the optimal weightings are provided. Simulation results are finally presented to validate the theoretical analysis results and to assess the performance of the proposed method.