DocumentCode :
62335
Title :
Sparse Objects Location Using Compressive Sensing
Author :
Zambrano, Maytee ; Medina, Carlos ; Paz Tamayo, Raul
Author_Institution :
Univ. Tecnol. de Panama, Panama, Panama
Volume :
13
Issue :
4
fYear :
2015
fDate :
Apr-15
Firstpage :
968
Lastpage :
974
Abstract :
This work suggests a method to solve the inverse problem of scattering using compressive sensing in order to locate and characterize targets in space. We consider the case of point scatters located on a small fraction of an overall region of interest. The measurement of the response of the scalar wave scattering from the objects is collected using a remote random sensor array. The proposed method achieves two significant improvements over conventional techniques: (i) increases the number of recoverable objectives depending on the number of transmitters and receivers, and (ii) determines both the position and the reflectivity of the objectives in a single solution. In addition, an indicator of the performance of the model based on the calculation of a so-called global error and a threshold parameter to improve the detection of targets are proposed. Results are obtained using computer simulations.
Keywords :
array signal processing; compressed sensing; electromagnetic wave scattering; inverse problems; object detection; compressive sensing; remote random sensor array; scalar wave scattering; scattering inverse problem; sparse objects location; targets detection; Arrays; Biomedical imaging; Compressed sensing; Inverse problems; Receivers; Scattering; Transmitters; compressive sensing; inverse scattering problem; random sensor array; sparse objects location;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2015.7106344
Filename :
7106344
Link To Document :
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