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Structure-Aware Bayesian Compressive Sensing for Near-Field Source Localization Based on Sensor-Angle Distributions
Joint Authors
Qin, Si
Wu, Qisong
Amin, Moeness G.
Zhang, Yimin D.
Source
International Journal of Antennas and Propagation
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-23
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
A novel technique for localization of narrowband near-field sources is presented.
The technique utilizes the sensor-angle distribution (SAD) that treats the source range and direction-of-arrival (DOA) information as sensor-dependent phase progression.
The SAD draws parallel to quadratic time-frequency distributions and, as such, is able to reveal the changes in the spatial frequency over sensor positions.
For a moderate source range, the SAD signature is of a polynomial shape, thus simplifying the parameter estimation.
Both uniform and sparse linear arrays are considered in this work.
To exploit the sparsity and continuity of the SAD signature in the joint space and spatial frequency domain, a modified Bayesian compressive sensing algorithm is exploited to estimate the SAD signature.
In this method, a spike-and-slab prior is used to statistically encourage sparsity of the SAD across each segmented SAD region, and a patterned prior is imposed to enforce the continuous structure of the SAD.
The results are then mapped back to source range and DOA estimation for source localization.
The effectiveness of the proposed technique is verified using simulation results with uniform and sparse linear arrays where the array sensors are located on a grid but with consecutive and missing positions.
American Psychological Association (APA)
Qin, Si& Zhang, Yimin D.& Wu, Qisong& Amin, Moeness G.. 2015. Structure-Aware Bayesian Compressive Sensing for Near-Field Source Localization Based on Sensor-Angle Distributions. International Journal of Antennas and Propagation،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1065173
Modern Language Association (MLA)
Qin, Si…[et al.]. Structure-Aware Bayesian Compressive Sensing for Near-Field Source Localization Based on Sensor-Angle Distributions. International Journal of Antennas and Propagation No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1065173
American Medical Association (AMA)
Qin, Si& Zhang, Yimin D.& Wu, Qisong& Amin, Moeness G.. Structure-Aware Bayesian Compressive Sensing for Near-Field Source Localization Based on Sensor-Angle Distributions. International Journal of Antennas and Propagation. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1065173
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1065173