Near-field wideband source localisation from the sparse recovery perspective via the spatial-only modelling of array data

作者：Yan, Xuezhi; Wen, Yanxin; Liu, Guohong^*

来源：IET Communications, 2018, 12(8): 907-913.

DOI：10.1049/iet-com.2017.0547

• direction-of-arrival estimation
• array signal processing
• vectors
• optimisation
• covariance matrices
• signal reconstruction
• numerical analysis
• decomposition
• near-field wideband source localisation
• sparse recovery perspective
• spatial-only modelling
• array data
• near-field wideband array output
• virtual array output
• virtual direction matrix
• uniform linear array
• measurement vector
• (1)-norm optimisation solution
• bearing estimation
• spatial covariance matrix

This study presents an efficient algorithm for near-field wideband source localisation. By exploring the characters of spatial-only modelling for near-field wideband array output, the authors firstly construct a virtual array output in which the virtual direction matrix is free of frequency and only related to bearing and range. Then, they exploit the symmetrical property of a uniform linear array to build a special measurement vector merely corresponding to the bearing, and obtain the related estimates via -norm optimisation solution. By substituting the estimated bearings and vectoring the spatial covariance matrix, they obtain range estimates through a similar sparse signal reconstruction approach without a parameter pairing process. Compared with previous methods, the proposed algorithm avoids performance degradation caused by frequency decomposition and provides improved resolution and preferable robustness to noise. Numerical simulations are conducted to demonstrate the efficiency of the proposed algorithm.

• 出版日期2018-5-15
• 单位吉林大学