A One-Snapshot Localization Algorithm for Mixed Far-Field and Near-Field Sources

被引：16
|
作者：
Huang, Zhikai [1 ]
Wang, Wei [1 ]
Dong, Fuwang [1 ]
Wang, Di [1 ]
机构：
[1] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2020年 / 24卷 / 05期
关键词：
Signal processing algorithms; Multiple signal classification; Computational complexity; Antenna arrays; Estimation; Direction-of-arrival estimation; Classification algorithms; Mixed far-field and near-field sources; one-snapshot; discrete fractional Fourier transform; array signal processing; sources localization; PASSIVE LOCALIZATION; DOA ESTIMATION; CLASSIFICATION;
D O I：
10.1109/LCOMM.2020.2977002
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this letter, a one-snapshot localization algorithm based on Discrete Fractional Fourier Transform (DFrFT) is proposed for mixed far-field and near-field sources. The mixed sources can be regarded as the superposition of several different linear-frequency-modulated signals. The different field sources produce the peaks in the different order of DFrFT domain, which means the mixed sources can be classified by transform orders. Moreover, the localization parameters of mixed sources can be easily estimated by the peak positions and the orders. Furthermore, a fine-searching method is also proposed to enhance the estimation accuracy. Numerical results demonstrate the superiority of proposed one-snapshot algorithm.
引用
收藏
页码：1010 / 1014
页数：5
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