Localización de Objetos usando Sensado Compresivo (Sparse Objects Location Using Compressive Sensing)

Maytee Zambrano (maytee.zambrano@utp.ac.pa)1, Carlos Medina (carlos.medina@utp.ac.pa)1, Raul Paz Tamayo (rulo87@hotmail.com)2

1Universidad Tecnológica de Panamá

This paper appears in: Revista IEEE América Latina

Publication Date: April 2015
Volume: 13,   Issue: 4 
ISSN: 1548-0992

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.

Index Terms:
compressive sensing, inverse scattering problem, sparse objects location, random sensor array   

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