Open AccessFast FRFT-Based Algorithm for 3-D LFM Source Localization With Uniform Circular Array
Author(s) -
Xin Chen,
Zhen Liu,
Xizhang Wei
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2781798
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Localization of linear frequency modulation (LFM) source based on combination of time- frequency analysis and a spatial spectrum estimation technique has received extensive research. However, this scheme is always confined to far-field sources and suffers from high computational cost. In this paper, by performing the fractional Fourier transform to multiple incoherent LFM signals, a fast and closed-form algorithm based on phase difference is proposed for 3-D source localization under a uniform circular array. First, the phase relationship among sensors' maximum outputs in fractional Fourier domain is exploited to construct indefinite equations, and then the least square method is employed to estimate the source's azimuth angle, elevation angle, and range simultaneously. Finally, comparing with current approaches, the satisfactory performance of our proposed algorithm is demonstrated, and the effectiveness for dealing with mixed far-field and near-field sources is also confirmed.
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