Passive localization of noncircular sources in the near-field

2015 ◽  
Author(s):  
Jian Xie ◽  
Haihong Tao ◽  
Xuan Rao ◽  
Jia Su
Keyword(s):  
Near 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 Near-Field Sources Based on Overlapped Subarrays

2019 ◽  
Vol 39 (1) ◽  
pp. 502-512 ◽  
Author(s):  
Jie Sun ◽  
Caiyong Hao ◽  
Zhi Zheng
Keyword(s):  
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 3D Near-Field Cyclostationary Sources Using Parallel Factor Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jian Chen ◽  
Guohong Liu ◽  
Xiaoying Sun
Keyword(s):  
Near Field ◽  
Three Dimensional ◽  
Least Squares Regression ◽  
Localization Algorithm ◽  
Analysis Model ◽  
Third Order ◽  
Multidimensional Search ◽  
Satisfactory Performance ◽  
Parallel Factor ◽  
Passive Localization

By exploiting favorable characteristics of a uniform cross-array, a passive localization algorithm of narrowband cyclostationary sources in the spherical coordinates (azimuth, elevation, and range) is proposed. Firstly, we construct a parallel factor (PARAFAC) analysis model by computing the third-order cyclic moment matrices of the properly chosen sensor outputs. Then, we analyze the uniqueness of the constructed model and obtain three-dimensional (3D) near-field parameters via trilinear alternating least squares regression (TALS). The investigated algorithm is well suitable for the localization of the near-field cyclostationary sources. In addition, it avoids the multidimensional search and pairing parameters. Results of computer simulations are carried out to confirm the satisfactory performance of the proposed method.

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