Efficient Method of Passive Localization for Mixed Far-Field and Near-Field Sources

2013 ◽  
Vol 12 ◽  
pp. 902-905 ◽  
Author(s):  
Guohong Liu ◽  
Xiaoying Sun
Keyword(s):  
Efficient Method ◽  
Near Field ◽  
Far Field ◽  
Passive Localization

Efficient Method of Passive Localization for Near-Field Noncircular Sources

2015 ◽  
Vol 14 ◽  
pp. 1223-1226 ◽  
Author(s):  
Jian Xie ◽  
Haihong Tao ◽  
Xuan Rao ◽  
Jia Su
Keyword(s):  
Efficient Method ◽  
Near Field ◽  
Passive Localization

Passive Localization of Mixed Near-Field and Far-Field Sources Without Eigendecomposition via Uniform Circular Array

2020 ◽  
Vol 39 (10) ◽  
pp. 5298-5317
Author(s):  
Xiaolong Su ◽  
Zhen Liu ◽  
Tianpeng Liu ◽  
Bo Peng ◽  
Xin Chen ◽  
...  
Keyword(s):  
Near Field ◽  
Far Field ◽  
Circular Array ◽  
Passive Localization

Passive localization and classification of mixed near-field and far-field sources based on high-order differencing algorithm

2019 ◽  
Vol 157 ◽  
pp. 119-130 ◽  
Author(s):  
Amir Masoud Molaei ◽  
Bijan Zakeri ◽  
Seyed Mehdi Hosseini Andargoli
Keyword(s):  
Near Field ◽  
High Order ◽  
Far Field ◽  
Passive Localization

scholarly journals Passive Localization of Mixed Far-Field and Near-Field Sources without Estimating the Number of Sources

Sensors ◽  
2015 ◽  
Vol 15 (2) ◽  
pp. 3834-3853 ◽  
Author(s):  
Jian Xie ◽  
Haihong Tao ◽  
Xuan Rao ◽  
Jia Su
Keyword(s):  
Near Field ◽  
Far Field ◽  
Passive Localization

scholarly journals Passive Localization for Mixed-Field Moving Sources

2018 ◽  
Vol 25 (s2) ◽  
pp. 69-74 ◽  
Author(s):  
Chunxian Gao ◽  
Hui Liu
Keyword(s):  
Near Field ◽  
Path Following ◽  
Noise Signal ◽  
Variable Component ◽  
Signal Subspace ◽  
Far Field ◽  
Accurate Localization ◽  
Underwater Positioning ◽  
Mixed Field ◽  
Passive Localization

Abstract Due to the mobility of underwater equipment, high-precision underwater positioning technology will face two technical challenges: dealing with mixed-field signals composed of near-field signals and far-field signals; adapting to variable component of mixed-field signals considering the mobility of equipment. Under this condition, an effective method based on MUSIC is addressed in this paper. After distinguishing far-field signal subspace from mixed-field signal subspace, estimations of DOAs and powers of far-field sources are carried out. Then the corresponding far-field and noise signal components can be eliminated from the signal subspace. After that, based on path-following algorithm, modified 2D-MUSIC is performed for DOA and range estimations of near-field sources. The performance of the proposed method is verified and compared with the other methods through computer simulations. Reasonable classification of source types and accurate localization estimation can be achieved by using the proposed method.

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